Relevant bibliographies by topics / Social aspects of Earthquake prediction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Social aspects of Earthquake prediction'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Social aspects of Earthquake prediction.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Social aspects of Earthquake prediction"

1

Karnik, Vit. "Earthquake Prediction." Journal of the World Association for Emergency and Disaster Medicine 3, no. 1 (1987): 102–6. http://dx.doi.org/10.1017/s1049023x00028879.

Full text
Abstract:
Every new earthquake disaster revives the idea of earthquake prediction, the idea which was considered a few decades ago as a fantasy scientific endeavor. However, recent technical and scientific developments, as well as some social and economic pressures, have created a quite different atmosphere. Earthquake prediction has become a serious scientific activity combining the efforts and results of many disciplines, particularly those of the earth sciences. The principal purpose of earthquake prediction is to reduce the vulnerability of the population living within an earthquake prone region. For this reason, scientific disciplines other than seismology and geology are also involved; they include those dealing with various aspects of human response and environment.
APA, Harvard, Vancouver, ISO, and other styles
2

Sol, Ayhan, and Halil Turan. "The ethics of earthquake prediction." Science and Engineering Ethics 10, no. 4 (2004): 655–66. http://dx.doi.org/10.1007/s11948-004-0045-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Al-Dogom, Diena, Rami Al-Ruzouq, Bahareh Kalantar, et al. "Geospatial Multicriteria Analysis for Earthquake Risk Assessment: Case Study of Fujairah City in the UAE." Journal of Sensors 2021 (September 25, 2021): 1–25. http://dx.doi.org/10.1155/2021/6638316.

Full text
Abstract:
A clear understanding of the spatial distribution of earthquake events facilitates the prediction of seismicity and vulnerability among researchers in the social, physical, environmental, and demographic aspects. Generally, there are few studies on seismic risk assessment in United Arab Emirates (UAE) within the geographic information system (GIS) platform. Former researches and recent news events have demonstrated that the eastern part of the country experiences jolts of 3-5 magnitude, specifically near Fujairah city and surrounding towns. This study builds on previous research on the seismic hazard that extracted the eastern part of the UAE as the most hazard-prone zone. Therefore, this study develops an integrated analytical hierarchical process (AHP) and machine learning (ML) for risk mapping considering eight geospatial parameters—distance from shoreline, schools, hospitals, roads, residences, streams, confined area, and confined area slope. Experts’ opinions and literature reviews were the basis of the AHP ranking and weighting system. To validate the AHP system, support vector machine (SVM), decision tree (DT), and random forest (RF) classifiers were applied to the datasets. The datasets were split into 60 : 40 ratio for training and testing. Results show that SVM has the highest accuracy of 79.6% compared to DT and RF with a “predicted high” precision of 87.5% attained from the model. Risk maps from both AHP and ML approaches were developed and compared. Risk analysis was categorised into 5 classes “very high,” “high,” “moderate,” “low,” and “very low.” Both approaches modelled relatable spatial patterns as risk-prone zones. AHP approach concluded 3.6% as “very high” risk zone, whereas only 0.3% of total area was identified from ML. The total area for the “very high” (20 km2) and “high” (114 km2) risk was estimated from ML approach.
APA, Harvard, Vancouver, ISO, and other styles
4

Zhao, Liang, Fanneng He, and Caishan Zhao. "A Framework of Resilience Development for Poor Villages after the Wenchuan Earthquake Based on the Principle of “Build Back Better”." Sustainability 12, no. 12 (2020): 4979. http://dx.doi.org/10.3390/su12124979.

Full text
Abstract:
Under the current resilience development framework, which is mainly based on urban communities, it is difficult to meet the needs of the vulnerable populations in poor villages. This article aims to explore a specific and operable guidance framework suitable for the resilient development of Chinese poor villages after disasters from the perspective of social equity. The framework will help guide the sustainable development of poor villages after disasters and also provide a reference for the resilience of other similar vulnerable areas. When integrating climate change response and disaster risk management to explore sustainable development in poor villages, the essence is to explore the resilience development framework focused on the construction of resilient communities in poor villages. We take the recovery and reconstruction of poor villages after the Wenchuan earthquake in 2008 as an example. Through the analysis of the effects of post-disaster recovery and reconstruction, we found that although poor communities have made significant achievements since the earthquake, there are still many aspects that need to be improved, including social life systems, economic production systems, and natural ecosystems. Therefore, we comprehensively analyzed the characteristics of poor socio-economic conditions, the complex ecological environment, and the low cultural level of residents in poor villages. Furthermore, this study followed the principle of “Build back better” (BBB) and conducted an in-depth study of the framework for the resilience of poor villages. In terms of risk reduction, it is recommended to improve structural resilience from guarantee of preferential prices and selection of environmentally friendly materials, avoid risk and villagers’ participation in the formulation of general plans, and promote disaster prevention and mitigation capabilities from risk prediction and curriculum development. In terms of community recovery, it is suggested to promote community economics and victims’ livelihoods by promoting industrial transformation and sustainable livelihoods and promote social and psychological health development from social relations and psychological rehabilitation. In terms of efficient implementation, specific improvements include the improvement of public participation systems and the establishment of coordination offices and sound institutional mechanisms, the development of community standards and the introduction of financial support policies, the improvement of laws and regulations, and the improvement of monitoring and evaluation from dynamic monitoring and mass satisfaction surveys. It is important to guide the sustainable development of vulnerable communities by constructing a post-disaster resistant development framework based on BBB principles.
APA, Harvard, Vancouver, ISO, and other styles
5

Satake, Kenji, and Yujiro Ogawa. "Special Issue on Multi-disciplinary Hazard Reduction from Earthquakes and Volcanoes in Indonesia." Journal of Disaster Research 7, no. 1 (2012): 3. http://dx.doi.org/10.20965/jdr.2012.p0003.

Full text
Abstract:
Natural disasters and their mitigation are global issues, especially in Asian countries, which have suffered from such geohazards as earthquakes, tsunamis, and volcanic eruptions and such hydrometeorological hazards as typhoons, cyclones, storm surges, and floods. Research on natural hazards and disasters is multidisciplinary. Scientists from a wide variety of disciplines study hazards, their causes, their mechanisms, and prediction. Engineers study infrastructures and measures to reduce vulnerability. Social and humanitarian scientists study cultural and societal aspects of disasters. Educators study effective ways to raise people’s awareness and action. In addition to such research activities, practitioners work to implement the results of scientific research into practical policymaking. This special issue of JDR contains 12 papers on multidisciplinary studies concerning geohazards in Indonesia taken from a Science and Technology Research Partnership for Sustainable Development (SATREPS) project supported by the Japan Science and Technology Agency (JST) and the Japan International Cooperation Agency (JICA). SATREPS projects focus on both the scientific aspect, namely, acquiring new knowledge, and the Official Development Aids (ODA) aspect, namely, implementing such knowledge in societal applications. Following the first review article, which is a project overview, the next four papers report findings on natural hazards – the slip rate on the Lembang fault in Java, tsunami simulation for Java’s Palabuhanratu, the Sinabung volcano eruption in Sumatra, and methods of predicting and evaluating eruptions. One paper reports engineering studies on tsunami disaster mitigation in Padang city and two social science papers present hazards in the contexts of communities and human mobility. Two papers on disaster education cover disaster education development since the 2004 Indian Ocean tsunami and the use of tsunami simulation in disaster education. The last research paper and review article deal with policymaking related to the 2010 Mentawai and 2011 Japan tsunamis, respectively. All of these papers, including the review articles, have been peer-reviewed by two nonproject reviewers. We thank the authors for their timely contributions and revisions, and the reviewers for their invaluable and wide-ranging comments.
APA, Harvard, Vancouver, ISO, and other styles
6

Hosseinzadeh, Elham, Sara Anamaghi, Massoud Behboudian, and Zahra Kalantari. "Evaluating Machine Learning-Based Approaches in Land Subsidence Susceptibility Mapping." Land 13, no. 3 (2024): 322. http://dx.doi.org/10.3390/land13030322.

Full text
Abstract:
Land subsidence (LS) due to natural and human-driven forces (e.g., earthquakes and overexploitation of groundwater) has detrimental and irreversible impacts on the environmental, economic, and social aspects of human life. Thus, LS hazard mapping, monitoring, and prediction are important for scientists and decision-makers. This study evaluated the performance of seven machine learning approaches (MLAs), comprising six classification approaches and one regression approach, namely (1) classification and regression trees (CARTs), (2) boosted regression tree (BRT), (3) Bayesian linear regression (BLR), (4) support vector machine (SVM), (5) random forest (RF), (6) logistic regression (LogR), and (7) multiple linear regression (MLR), in generating LS susceptibility maps and predicting LS in two case studies (Semnan Plain and Kashmar Plain in Iran) with varying intrinsic characteristics and available data points. Multiple input variables (slope, aspect, groundwater drawdown, distance from the river, distance from the fault, lithology, land use, topographic wetness index (TWI), and normalized difference vegetation index (NDVI)), were used as predictors. BRT outperformed the other classification approaches in both case studies, with accuracy rates of 75% and 74% for Semnan and Kashmar plains, respectively. The MLR approach yielded a Mean Square Error (MSE) of 0.25 for Semnan plain and 0.32 for Kashmar plain. According to the BRT approach, the variables playing the most significant role in LS in Semnan Plain were groundwater drawdown (20.31%), distance from the river (17.11%), land use (14.98%), NDVI (12.75%), and lithology (11.93%). Moreover, the three most important factors in LS in Kashmar Plain were groundwater drawdown (35.31%), distance from the river (23.1%), and land use (12.98%). The results suggest that the BRT method is not significantly affected by data set size, but increasing the number of training set data points in MLR results in a decreased error rate.
APA, Harvard, Vancouver, ISO, and other styles
7

Yoshii, Hiroaki. "Social impacts of earthquake prediction in Greece." Tectonophysics 224, no. 1-3 (1993): 251–55. http://dx.doi.org/10.1016/0040-1951(93)90077-w.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Tierney, K. "The Whittier Narrows, California Earthquake of October 1, 1987—Social Aspects." Earthquake Spectra 4, no. 1 (1988): 11–23. http://dx.doi.org/10.1193/1.1585460.

Full text
Abstract:
There were a relatively small number of fatalities and casualties in the Whittier Narrows, but social disruption was extensive. An estimated 10,000 households and thousands of businesses were affected. The earthquake also resulted in an increase in the need for mental health services. Due both to extensive mitigation and preparedness programs and to the moderate size of the event, the emergency response was, in general, well-managed. Nevertheless, important insights were gained on potential weaknesses in areas such as communication co-ordination. The response by local residents was generally positive and adaptive, but the need for improved public awareness and training was also evident. The earthquake demonstrated the importance of ethnicity as a factor that influences the public's response to the earthquake hazard. Although the long-term impact of the earthquake on the Southern California will likely be imperceptable, some segments of the population, such as low-income earthquake victims and businesses that were marginal before the earthquake, my experience difficulty recovering. The impact of the earthquake on seismic safety programs in the affected communities is an important topic warranting further research.
APA, Harvard, Vancouver, ISO, and other styles
9

Kagan, Y. Y. "Statistical aspects of Parkfield earthquake sequence and Parkfield prediction experiment." Tectonophysics 270, no. 3-4 (1997): 207–19. http://dx.doi.org/10.1016/s0040-1951(96)00210-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gori, Paula L. "The social dynamics of a false earthquake prediction and the response by the public sector." Bulletin of the Seismological Society of America 83, no. 4 (1993): 963–80. http://dx.doi.org/10.1785/bssa0830040963.

Full text
Abstract:
Abstract The central United States and the nation experienced the effects of a false, pseudoscientific, unofficial prediction in 1990. The lack of a timely, public rebuttal of the Iben Browning earthquake prediction led to tremendous unnecessary efforts by local, state, and federal governments to respond to the public's demand for information about the validity of the prediction and how to prepare for the predicted earthquake. The effort was costly both in terms of money and diversion of staff from other necessary services. Although the prediction may have increased the level of earthquake awareness and preparedness in the central U.S., that awareness and preparedness may have been forged at the expense of scientific and government credibility.
APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "Social aspects of Earthquake prediction"

1

Bock, Jan-Jonathan. "L'Aquila : the social consequences of disaster and the recovery of everyday life in an Italian urban environment." Thesis, University of Cambridge, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709169.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Dimadi, Ioanna. "Social media sentiment analysis for firm's revenue prediction." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-363117.

Full text
Abstract:
The advent of the Internet and its social media platforms have affected people’s daily life. More and more people use it as a tool in order to communicate, exchange opin-ions and share information with others. However, those platforms have not only been used for socializing but also for expressing people’s product preferences. This wide spread of social networking sites has enabled companies to take advantage of them as an important way of approaching their target audience. This thesis focuses on study-ing the influence of social media platforms on the revenue of a single organization like Nike that uses them actively. Facebook and Twitter, two widely-used social me-dia platforms, were investigated with tweets and comments produced by consumer’s online discussions in brand’s hosted pages being gathered. This unstructured social media data were collected from 26 Nike official pages, 13 fan pages from each plat-form and their sentiment was analyzed. The classification of those comments had been done by using the Valence Aware Dictionary and Sentiment Reasoner (VADER), a lexicon-based approach that is implemented for social media analysis. After gathering the five-year Nike’s revenue, the degree to which these could be affected by the clas-sified data was examined by using multiple stepwise linear regression analysis. The findings showed that the fraction of positive/total for both Facebook and Twitter ex-plained 84.6% of the revenue’s variance. Fitting this data on the multiple regression model, Nike’s revenue could be forecast with a root mean square error around 287 billion.
APA, Harvard, Vancouver, ISO, and other styles
3

Zhang, Huicheng. "The impact of distance, feature weighting and selection for KNN in credit default prediction." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18655.

Full text
Abstract:
With the rapid spread of credit card business around the world, credit risk has also expanded dramatically. The occurrence of a large number of credit cardcustomer defaults has caused huge losses to financial institutions such as banks. Therefore, it is particularly important to accurately identify default customers. We investigate the use of the K Nearest Neighbor (KNN) algorithm, to evaluate the impact of the alternative distance functions, feature weighting, and feature selection on the accuracy and the area under curve (AUC) of the credit card default prediction model. For our evaluation, we use a credit card user dataset from Taiwan. We find that the Mahalanobis distance function performed best, feature weighting, and feature selection could improve the accuracy and AUC of the model.
APA, Harvard, Vancouver, ISO, and other styles
4

Kothawade, Rohan Dilip. "Wine quality prediction model using machine learning techniques." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20009.

Full text
Abstract:
The quality of a wine is important for the consumers as well as the wine industry. The traditional (expert) way of measuring wine quality is time-consuming. Nowadays, machine learning models are important tools to replace human tasks. In this case, there are several features to predict the wine quality but the entire features will not be relevant for better prediction. So, our thesis work is focusing on what wine features are important to get the promising result. For the purposeof classification model and evaluation of the relevant features, we used three algorithms namely support vector machine (SVM), naïve Bayes (NB), and artificial neural network (ANN). In this study, we used two wine quality datasets red wine and white wine. To evaluate the feature importance we used the Pearson coefficient correlation and performance measurement matrices such as accuracy, recall, precision, and f1 score for comparison of the machine learning algorithm. A grid search algorithm was applied to improve the model accuracy. Finally, we achieved the artificial neural network (ANN) algorithm has better prediction results than the Support Vector Machine (SVM) algorithm and the Naïve Bayes (NB) algorithm for both red wine and white wine datasets.
APA, Harvard, Vancouver, ISO, and other styles
5

Khajehei, Sepideh. "From Probabilistic Socio-Economic Vulnerability to an Integrated Framework for Flash Flood Prediction." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4666.

Full text
Abstract:
Flash flood is among the most hazardous natural disasters, and it can cause severe damages to the environment and human life. Flash floods are mainly caused by intense rainfall and due to their rapid onset (within six hours of rainfall), very limited opportunity can be left for effective response. Understanding the socio-economic characteristics involving natural hazards potential, vulnerability, and resilience is necessary to address the damages to economy and casualties from extreme natural hazards. The vulnerability to flash floods is dependent on both biophysical and socio-economic factors. This study provides a comprehensive assessment of socio-economic vulnerability to flash flood alongside a novel framework for flash flood early warning system. A socio-economic vulnerability index was developed for each state and county in the Contiguous United States (CONUS). For this purpose, extensive ensembles of social and economic variables from US Census and the Bureau of Economic Analysis were assessed. The coincidence of socio-economic vulnerability and flash flood events were investigated to diagnose the critical and non-critical regions. In addition, a data-analytic approach is developed to assess the interaction between flash flood characteristics and the hydroclimatic variables, which is then applied as the foundation of the flash flood warning system. A novel framework based on the D-vine copula quantile regression algorithm is developed to detect the most significant hydroclimatic variables that describe the flash flood magnitude and duration as response variables and estimate the conditional quantiles of the flash flood characteristics. This study can help mitigate flash flood risks and improve recovery planning, and it can be useful for reducing flash flood impacts on vulnerable regions and population.
APA, Harvard, Vancouver, ISO, and other styles
6

Eklund, Michael. "On vocational rehabilitation in northern Sweden : with focus on life satisfaction and outcome prediction." Doctoral thesis, Umeå universitet, Rehabiliteringsmedicin, 1991. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-101289.

Full text
Abstract:
A consecutive series of 149 subjects with complete or partial vocational disability due to somatic ill-health were investigated at admission for vocational rehabilitation and two years later. Subjects filled in checklists which encompassed 5 socio-demographic, 5 psycho-social and 9 life satisfaction items. Moreover, 5 dimensions of "handicap" were assessed. At admission subjects were physically examined. In this diagnostically mixed sample 80 of them had non-specific locomotor dysfunction with pain ("algia"). In this sub-sample 23 symptoms (yes/no alternatives) and 24 signs (present/not present) were registered. At the two-year follow-up actual source and level of income were registered and 126 subjects reported their levels of life satisfaction. A reference population including 163 employed subjects was used for comparisons of levels of life satisfaction.At admission satisfaction with life as a whole (level of happiness) and with 6/8 domain specific life satisfaction items were significantly lower for the vocational rehabilitation clients than for the references. Psycho-socio-demographic items formed 5 factors, two were socio-demographic and three psycho-social characteristics. Only few were "handicapped" concerning orientation, mobility and self-care, while the majority were financially and/or occupationally "handicapped". At the two-year follow-up 91% of the partly and 67% of those who at admission were completely vocationally disabled were undergoing education or were gainfully employed, giving a success rate of 77%. Moreover, return to work from unemployment resulted in significantly increased income. Successful rehabilitation resulted in normalization of the majority of life satisfaction domains. This was particularly true for overall vocational satisfaction. Level of happiness was increased but not up to the level of the references. At follow-up the level of or change in (admission/follow-up computations) vocational satisfaction were major predictors for level of or change in happiness. Hence, successful vocational rehabilitation led to increased social well-being. For the total sample major predictors of outcome were: Level of experienced health and belief in vocational return. It is suggested that these two variables arc useful instruments for vocational rehabilitation decision making. In the algic sub-sample signs and symptoms were - statistically - combined into 8 meaningful entities, characterizing regional, postural and relational syndromes. Whereas these may not necessarily be generalizable they may be of clinical descriptory value. However, only one of them contributed to outcome prediction; the major predictors for those algic subjects being belief in vocational return and sex.<br><p>S. 1-48: sammanfattning, s. 49-125: 5 uppsatser</p><br>digitalisering@umu
APA, Harvard, Vancouver, ISO, and other styles
7

Kinnander, Mathias. "Predicting profitability of new customers using gradient boosting tree models : Evaluating the predictive capabilities of the XGBoost, LightGBM and CatBoost algorithms." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19171.

Full text
Abstract:
In the context of providing credit online to customers in retail shops, the provider must perform risk assessments quickly and often based on scarce historical data. This can be achieved by automating the process with Machine Learning algorithms. Gradient Boosting Tree algorithms have demonstrated to be capable in a wide range of application scenarios. However, they are yet to be implemented for predicting the profitability of new customers based solely on the customers’ first purchases. This study aims to evaluate the predictive performance of the XGBoost, LightGBM, and CatBoost algorithms in this context. The Recall and Precision metrics were used as the basis for assessing the models’ performance. The experiment implemented for this study shows that the model displays similar capabilities while also being biased towards the majority class.
APA, Harvard, Vancouver, ISO, and other styles
8

Ayad, Fady. "How is AI research applied in the field of network fault management." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20124.

Full text
Abstract:
The internet growth rapidly increased by the years, and the traffic is increasing daily. The management of the network is becoming more and more complexed for humans to handle on their own, with that being said a new direction of using Artificial Intelligence (AI) technologies is being implemented in the direction of network fault management. In order to keep up with the development network, new solutions need to be implemented. Traditional network fault management are dependent of system administrators and there is too much human error that can happen during operations. That’s why AI is a great tool to be used in future network fault management. There are currently many challenges within network fault management, and this makes an opportunity for AI to be implemented. The studies shows that AI subpart “supervised learning” is the most popular used in network fault management. AI have shown that there is potential to tackle problems such as detection, prediction and also improve the system as whole.
APA, Harvard, Vancouver, ISO, and other styles
9

Cheltuitor, Alexandru, and Niklas Jones-Quartey. "Predicting Multimodal Rehabilitation Outcomes using Machine Learning." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413568.

Full text
Abstract:
Chronic pain is a complex health issue and a major cause of disability worldwide. Although multimodal rehabilitation (MMR) has been recognized as an effective form of treatment for chronic pain, some patients do not benefit from it. If treatment outcomes could be reliably predicted, then patients who would benefit more from MMR could be prioritized over others. Machine learning has been proven capable of accurately predicting outcomes in other healthcare related domains. Therefore, this study aims to investigate the use of it to predict outcomes of MMR, using data from the Swedish Quality Registry for Pain Rehabilitation (SQRP). XGBoost regression was used for this purpose, and its predictive performance was compared to Ridge regression. 12 models were trained on SQRP data for each algorithm, in order to predict pain and quality of life related outcomes. The results show similar performances for both algorithms, with mean cross-validated R² values of 0.323 and 0.321 for the XGBoost and Ridge models respectively. The average root mean squared errors of 6.744 for XGBoost and 6.743 for Ridge were similar as well. Since XGBoost performed similarly to a less computationally expensive method, the use of this method for MMR outcome prediction was not supported by the results of this study. However, machine learning has the potential to be more effective for this purpose, through the use of different hyperparameter values, correlation-based feature selection or other machine learning algorithms.
APA, Harvard, Vancouver, ISO, and other styles
10

Pettersson, Gustav, and John Almqvist. "Lavinprognoser och maskininlärning : Att prediktera lavinprognoser med maskininlärning och väderdata." Thesis, Uppsala universitet, Institutionen för informatik och media, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-387205.

Full text
Abstract:
Denna forskningsansats undersöker genomförbarheten i att prediktera lavinfara med hjälp av ma-skininlärning i form avXGBoostoch väderdata. Lavinprognoser och meterologisk vädermodelldata harsamlats in för de sex svenska fjällområden där Naturvårdsveket genomlavinprognoser.sepublicerar lavin-prognoser. Lavinprognoserna har hämtats frånlavinprognoser.seoch den vädermodelldata som användsär hämtad från prognosmodellen MESAN, som produceras och tillhandahålls av Sveriges meteorologiskaoch hydrologiska institut. 40 modeller av typenXGBoosthar sedan tränats på denna datamängd, medsyfte att prediktera olika aspekter av en lavinprognos och den övergripande lavinfaran. Resultaten visaratt det möjligt att prediktera den dagligalavinfaranunder säsongen 2018/19 i Södra Jämtlandsfjällenmed en träffsäkerhet på 71% och enmean average errorpå 0,295, genom att applicera maskininlärningpå väderleken för det området. Värdet avXGBoosti sammanhanget har styrkts genom att jämföradessa resultat med resultaten från den enklare metoden logistisk regression, vilken uppvisade en sämreträffsäkerhet på 56% och enmean average errorpå 0,459. Forskningsansatsens bidrag är ett ”proof ofconcept” som visar på genomförbarheten av att med hjälp av maskininlärning och väderdata predikteralavinprognoser.<br>This research project examines the feasibility of using machine learning to predict avalanche dangerby usingXGBoostand openly available weather data. Avalanche forecasts and meterological modelledweather data have been gathered for the six areas in Sweden where Naturvårdsverket throughlavin-prognoser.seissues avalanche forecasts. The avanlanche forecasts are collected fromlavinprognoser.seand the modelled weather data is collected from theMESANmodel, which is produced and providedby the Swedish Meteorological and Hydrological Institute. 40 machine learning models, in the form ofXGBoost, have been trained on this data set, with the goal of assessing the main aspects of an avalan-che forecast and the overall avalanche danger. The results show it is possible to predict the day to dayavalanche danger for the 2018/19 season inSödra Jämtlandsfjällenwith an accuracy of 71% and a MeanAverage Error of 0.256, by applying machine learning to the weather data for that region. The contribu-tion ofXGBoostin this context, is demonstrated by applying the simpler method ofLogistic Regressionon the data set and comparing the results. Thelogistic regressionperforms worse with an accuracy of56% and a Mean Average Error of 0.459. The contribution of this research is a proof of concept, showingfeasibility in predicting avalanche danger in Sweden, with the help of machine learning and weather data.
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Social aspects of Earthquake prediction"

1

Showalter, Pamela Sands. Field observations in Memphis during the New Madrid earthquake "projection" of 1990: How pseudoscience affected a region. Natural Hazards Research and Applications Information Center, Institute of Behavioral Science, University of Colorado, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Showalter, Pamela Sands. Field observations in Memphis during the New Madrid earthquake "projection" of 1990: How pseudoscience affected a region. [University of Colorado, Institute of Behavioral Science, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

M, Nigg Joanne, and Paz Denise Heller, eds. Waiting for disaster: Earthquake watch in California. University of California Press, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sopra, Luciano Di. Il costo dei terremoti: Belice, Friuli, Irpinia : confronto dei modelli organizzativi per la ricostruzione : necessità di una normativa nazionale di prevenzione terziaria. Aviani, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

National Research Council (U.S.). Panel on Earthquake Loss Estimation Methodology. Estimating losses from future earthquakes: (panel report and technical background). Federal Emergency Management Agency, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

National Research Council (U.S). Panel on Earthquake Loss Estimation Methodology. Estimating losses from future earthquakes: Panel report (a non-technical summary). Federal Emergency Management Agency, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Project, Central United States Earthquake Preparedness. Estimated future earthquake losses for St. Louis City and County, Missouri. Federal Emergency Management Agency, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ulin, David L. The myth of solid ground: Earthquakes, prediction, and the fault line between reason and faith. Penguin Books, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Stallings, Robert A. Promoting risk: Constructing the earthquake threat. De Gruyter, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Eriksson, Bo G. Studying ageing: Experiences, description, variation, prediction and explanation. Department of Sociology, University of Gothenburg, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Social aspects of Earthquake prediction"

1

de Santana Correia, Alana, Iury Cleveston, Viviane Bonadia dos Santos, Sandra Avila, and Esther Luna Colombini. "An Attentional Model for Earthquake Prediction Using Seismic Data." In Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85710-3_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Juvina, Ion, Christian Lebiere, Jolie Martin, and Cleotilde Gonzalez. "Cognitive Aspects of Power in a Two-Level Game." In Social Computing, Behavioral-Cultural Modeling and Prediction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19656-0_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jin, Fang, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, and Naren Ramakrishnan. "Tracking Multiple Social Media for Stock Market Event Prediction." In Advances in Data Mining. Applications and Theoretical Aspects. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62701-4_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Tung, Kuan-Chieh, En Tzu Wang, and Arbee L. P. Chen. "Mining Event Sequences from Social Media for Election Prediction." In Advances in Data Mining. Applications and Theoretical Aspects. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41561-1_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Hafiene, Nesrine, Wafa Karoui, and Lotfi Ben Romdhane. "Influential Nodes Prediction Based on the Structural and Semantic Aspects of Social Media." In Information Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63396-7_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ye, Xinyue, Bo Zhao, Thien Huu Nguyen, and Shaohua Wang. "Social Media and Social Awareness." In Manual of Digital Earth. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9915-3_12.

Full text
Abstract:
Abstract The human behaviors and interactions on social media have maintained themselves as highly dynamic real-time social systems representing individual social awareness at fine spatial, temporal, and digital resolutions. In this chapter, we introduce the opportunities and challenges that human dynamics-centered social media bring to Digital Earth. We review the information diffusion of social media, the multi-faced implications of social media, and some real-world cases. Social media, on one hand, has facilitated the prediction of human dynamics in a wide spectrum of aspects, including public health, emergency response, decision making, and social equity promotion, and will also bring unintended challenges for Digital Earth, such as rumors and location spoofing on the other. Considering the multifaceted implications, this chapter calls for GIScientists to raise their awareness of the complex impacts of social media, to model the geographies of social media, and to understand ourselves as a unique species living both on the Earth and in Digital Earth.
APA, Harvard, Vancouver, ISO, and other styles
7

Kohrangi, M., A. N. Papadopoulos, S. R. Kotha, D. Vamvatsikos, and P. Bazzurro. "Earthquake Catastrophe Risk Modeling, Application to the Insurance Industry: Unknowns and Possible Sources of Bias in Pricing." In Springer Tracts in Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68813-4_11.

Full text
Abstract:
AbstractMathematical risk assessment models based on empirical data and supported by the principles of physics and engineering have been used in the insurance industry for more than three decades to support informed decisions for a wide variety of purposes, including insurance and reinsurance pricing. To supplement scarce data from historical events, these models provide loss estimates caused to portfolios of structures by simulated but realistic scenarios of future events with estimated annual rates of occurrence. The reliability of these estimates has evolved steadily from those based on the rather simplistic and, in many aspects, semi-deterministic approaches adopted in the very early days to those of the more recent models underpinned by a larger wealth of data and fully probabilistic methodologies. Despite the unquestionable progress, several modeling decisions and techniques still routinely adopted in commercial models warrant more careful scrutiny because of their potential to cause biased results. In this chapter we will address two such cases that pertain to the risk assessment for earthquakes. With the help of some illustrative but simple applications we will first motivate our concerns with the current state of practice in modeling earthquake occurrence and building vulnerability for portfolio risk assessment. We will then provide recommendations for moving towards a more comprehensive, and arguably superior, approach to earthquake risk modeling that capitalizes on the progress recently made in risk assessment of single buildings. In addition to these two upgrades, which in our opinion are ready for implementation in commercial models, we will also describe an enhancement in ground motion prediction that will certainly be considered in the models of tomorrow but is not yet ready for primetime. These changes are implemented in example applications that highlight their importance for portfolio risk assessment. Special consideration will be given to the potential bias in the Average Annual Loss estimates, which constitutes the foundation of insurance and reinsurance policies’ pricing, that may result from the application of the traditional approaches.
APA, Harvard, Vancouver, ISO, and other styles
8

Liu, Qian, Juan Gu, Jingchao Yang, et al. "Cloud, Edge, and Mobile Computing for Smart Cities." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_41.

Full text
Abstract:
AbstractSmart cities evolve rapidly along with the technical advances in wireless and sensor networks, information science, and human–computer interactions. Urban computing provides the processing power to enable the integration of such technologies to improve the living quality of urban citizens, including health care, urban planning, energy, and other aspects. This chapter uses different computing capabilities, such as cloud computing, mobile computing, and edge computing, to support smart cities using the urban heat island of the greater Washington DC area as an example. We discuss the benefits of leveraging cloud, mobile, and edge computing to address the challenges brought by the spatiotemporal dynamics of the urban heat island, including elevated emissions of air pollutants and greenhouse gases, compromised human health and comfort, and impaired water quality. Cloud computing brings scalability and on-demand computing capacity to urban system simulations for timely prediction. Mobile computing brings portability and social interactivity for citizens to report instantaneous information for better knowledge integration. Edge computing allows data produced by in-situ devices to be processed and analyzed at the edge of the network, reducing the data traffic to the central repository and processing engine (data center or cloud). Challenges and future directions are discussed for integrating the three computing technologies to achieve an overall better computing infrastructure supporting smart cities. The integration is discussed in aspects of bandwidth issue, network access optimization, service quality and convergence, and data integrity and security.
APA, Harvard, Vancouver, ISO, and other styles
9

Lucas, Kosta, and Daniel Baldino. "White Knights, Black Armour, Digital Worlds: Exploring the Efficacy of Analysing Online Manifestos of Terrorist Actors in the Counter Terrorism Landscape." In Advanced Sciences and Technologies for Security Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90221-6_12.

Full text
Abstract:
AbstractOver the past few years, a number of major terrorist attacks have been accompanied by the uploading of detailed, online manifestos, which chart and publicise ideologies, motivations and tactical choices in the backdrop of a dehumanized foe. Such manifestos can also act as inspiration for potential copycats and group-think style supporters within an insulated network. However the types of conclusions that can be drawn from manifesto analysis is a complex issue. The broad aim of this chapter is to explore such identity construction and the usefulness of analysing terrorist manifestos through a narrative framework, with a view to demonstrating that manifestos can be understood as a script to a violent performance (the terrorist act) in the theatre of terrorism (the digital world). These insights can serve the development of policy directed towards aspects of the personal attitudes and the social drivers that are necessary for the amplification of violence rather than in the often impenetrable prediction of who is and who is not likely to become a terrorist actor.
APA, Harvard, Vancouver, ISO, and other styles
10

Szturz, Petr, and Jan B. Vermorken. "Systemic Treatment Sequencing and Prediction of First-line Therapy Outcomes in Recurrent or Metastatic Head and Neck Cancer." In Critical Issues in Head and Neck Oncology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23175-9_13.

Full text
Abstract:
AbstractIn the palliative management of patients with recurrent and/or metastatic squamous cell carcinoma of the head and neck who are not candidates for a complete resection or full-dose radiotherapy, systemic treatment has seen important advances over the past several decades. In general, there are six major factors impacting on the decision-making process. Four of them belong to a class of continuous functions and include overall health status (from fitness to frailty), disease burden (from high to low), pace of the disease (from fast to slow), and expression of programmed-death ligand 1 (PD-L1, from high to low). In addition, there are two categorical variables including disease site (e.g., locoregional recurrence versus metastatic) and platinum-sensitivity or resistance depending on disease-free interval after previous platinum-based therapy with a usual cut-off of 6 months. Taking into account these six factors and local drug policies, healthcare professionals opt either for 1) chemotherapy with or without cetuximab or 2) immunotherapy with or without chemotherapy. In platinum-sensitive cases, level I evidence based on data from the EXTREME and Keynote-048 randomized trials supports the use of the following three regimens. Biochemotherapy combining platinum, 5-fluorouracil, and cetuximab (the so-called EXTREME regimen) is suitable for fit patients with low PD-L1 expression measured as combined positive score (CPS). Higher CPS is predictive for improved overall survival when replacing cetuximab with the immune checkpoint inhibitor pembrolizumab, an anti-PD-1 antibody (immunochemotherapy regimen). Further, Keynote-048 demonstrated activity of single-agent pembrolizumab in patients with high CPS values. The latter (third) treatment retained its efficacy in the elderly, suggesting possible advantage in less fit patients who otherwise receive best supportive care only or single-agent cytotoxic chemotherapy with dubious impact on survival. In selected patients, the TPEx regimen consisting of cisplatin, docetaxel, and cetuximab represents an alternative to EXTREME. Treatment choice can also be influenced by disease extension (site). Compared with disseminated cancer cases, presence of locoregional recurrence without distant metastases may have a negative predictive value for immune checkpoint inhibitors, while favouring biochemotherapy. If the tumour is deemed platinum-resistant, the only evidence-based systemic approach is monotherapy with either pembrolizumab or nivolumab, another anti-PD-1 antibody. Alternatively, being especially pertinent to resource-limited countries, a taxane with or without cetuximab can be prioritized. Obviously, the list of different treatment schedules is longer, but the level of supporting evidence is proportionally lower. One of modern approaches to multidisciplinary management of SCCHN patients is treatment sequencing. It should be understood as a deliberate process of treatment planning typically starting in the locally advanced setting and reaching beyond several treatment failures. This has been enabled by a growing portfolio of effective anticancer modalities complemented by progress in supportive care. Finally, all therapeutic interventions impact somehow on quality of life, either in a positive or negative way, and the choice of anticancer agents should therefore not be reduced to a simple estimate of survival benefit but should contain an adequate appraisal and understanding of individual patient’s situation comprising emotional and spiritual dimensions, cultural and financial aspects, and environmental, social, and educational contexts.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Social aspects of Earthquake prediction"

1

Martyshko, P. S., V. A. Pyankov, and A. L. Rublev. "The mathematic methods of short-term earthquake prediction." In 16th International Conference on Geoinformatics - Theoretical and Applied Aspects. EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201701848.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ahmed, Fardin, Shapla Akter, SM Minhazur Rahman, Jayed Bin Harez, Amatullah Mubasira, and Riasat Khan. "Earthquake Magnitude Prediction Using Machine Learning Techniques." In 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2024. http://dx.doi.org/10.1109/iatmsi60426.2024.10502770.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Borzymek, Piotr, Marcin Sydow, and Adam Wierzbicki. "Enriching Trust Prediction Model in Social Network with User Rating Similarity." In 2009 International Conference on Computational Aspects of Social Networks (CASON). IEEE, 2009. http://dx.doi.org/10.1109/cason.2009.30.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ye-zhe, Wu, Sun Li, and Le Jia-jin. "G-LMBPNN: A New Fashion Color Prediction Model." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.118.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Jing, Shen, Lin Zhenshan, and He Liang. "Fuzzy Probability-based Landscape Prediction Model and Application." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.122.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Valverde-Rebaza, Jorge, and Alneu de Andrade Lopes. "Structural link prediction using community information on Twitter." In 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN). IEEE, 2012. http://dx.doi.org/10.1109/cason.2012.6412391.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Papadimitriou, Alexis, Panagiotis Symeonidis, and Yannis Manolopoulos. "Friendlink: Link prediction in social networks via bounded local path traversal." In 2011 International Conference on Computational Aspects of Social Networks (CASoN 2011). IEEE, 2011. http://dx.doi.org/10.1109/cason.2011.6085920.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zheng-sheng, Ding, and Shi Chao-feng. "A Prediction-Correction Method for Monotone Inverse Variational Inequalities." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.61.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Yang, Xue-mei, Xue-wei Cui, and Xue-zhu Yang. "Prediction of O-Glycosylation Sites in Protein Sequence by Kernel Principal Component Analysis." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.68.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Tiemei, Yang. "Application of Improved Empirical Mode Decomposition Based on Grey Prediction in Gear Transmission System." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.157.

Full text
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography