Journal articles: 'Statistics|Artificial intelligence'

7

Linster, Bruce G., and D. J. Hand. "Artificial Intelligence Frontiers in Statistics: AI and Statistics III." Southern Economic Journal 62, no. 3 (1996): 811. http://dx.doi.org/10.2307/1060915.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Thisted, Ronald A., and D. J. Hand. "Artificial Intelligence Frontiers in Statistics: AI and Statistics III." Journal of the American Statistical Association 89, no. 426 (1994): 719. http://dx.doi.org/10.2307/2290889.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Hart, Anna, and D. J. Hand. "Artificial Intelligence Frontiers in Statistics: AI and Statistics III." Statistician 43, no. 2 (1994): 333. http://dx.doi.org/10.2307/2348354.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Kharin, Yu S. "Artificial intelligence frontiers in statistics AI and statistics III." Knowledge-Based Systems 7, no. 1 (1994): 57–58. http://dx.doi.org/10.1016/0950-7051(94)90017-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Vinichenko, Mikhail V., Marina V. Rybakova, Galina Y. Nikiporets-Takigawa, Oхana L. Chulanova, and Natalia V. Ljapunova. "The Influence of Artificial Intelligence on the Human Potential Development: The Views of Orthodox Clergy and Parishioners." Cuestiones Políticas 37, no. 65 (2020): 400–418. http://dx.doi.org/10.46398/cuestpol.3865.27.

Full text

Abstract:

The article discusses the nature of the influence of artificial intelligence on the development of human potential from the point of view of the Orthodox clergy and their parishioners. Methodologically, surveys and statistics were used to find out the opinion of the study subjects. A common phenomenon in the study was a unique consolidated position of all categories of Orthodox respondents on the danger that artificial intelligence represents. Most Orthodox are concerned about the unpredictability of creating and using artificial intelligence, especially in a pandemic. The authors considered the position of clergy, parishioners with and without a church on the nature of artificial intelligence's influence on human potential, the threats and risks to humans that come from artificial intelligence. The main advantage of the work is the results obtained on the basis of the comparative analysis of the positions of different categories of orthodox respondents on the nature of the influence of artificial intelligence on the development of human potential. In conclusion, the results can be used to develop a categorical-conceptual apparatus, to systematize knowledge about the use of artificial intelligence in the social and spiritual spheres.

APA, Harvard, Vancouver, ISO, and other styles

12

Leksin, V. N. "Artificial intelligence in economy and policy nowadays. Article 2. Artificial intelligence as goods and service." Russian Economic Journal, no. 5 (November 2020): 3–33. http://dx.doi.org/10.33983/0130-9757-2020-5-3-33.

Full text

Abstract:

The second article of the three-part series «Artificial intelligence in the economy and politics of our time» presents the results of research on the development of the market for artificial intelligence (AI). It shows the typicality and specificity of this market and identifies the problems of studying it in the absence of necessary statistics and an acute shortage of legal regulations of the AI market. The main suppliers of artificial intelligence developments are identified and characterized, and market offers for the banking sector are also analyzed. Data on shares of companies implementing artificial intelligence developments are summarized, and an example of the use of such developments in exchange activities is given. Mechanisms of state stimulation of applied artificial intelligence development and creation of alliances and consortia of the largest scientific and technological corporations to accelerate these developments are considered separately.

APA, Harvard, Vancouver, ISO, and other styles

13

Robert, Claudine. "An entropy concentration theorem: applications in artificial intelligence and descriptive statistics." Journal of Applied Probability 27, no. 2 (1990): 303–13. http://dx.doi.org/10.2307/3214649.

Full text

Abstract:

The maximum entropy principle is used to model uncertainty by a maximum entropy distribution, subject to some appropriate linear constraints. We give an entropy concentration theorem (whose demonstration is based on large deviation techniques) which is a mathematical justification of this statistical modelling principle. Then we indicate how it can be used in artificial intelligence, and how relevant prior knowledge is provided by some classical descriptive statistical methods. It appears furthermore that the maximum entropy principle yields to a natural binding between descriptive methods and some statistical structures.

APA, Harvard, Vancouver, ISO, and other styles

14

Robert, Claudine. "An entropy concentration theorem: applications in artificial intelligence and descriptive statistics." Journal of Applied Probability 27, no. 02 (1990): 303–13. http://dx.doi.org/10.1017/s0021900200038754.

Full text

Abstract:

The maximum entropy principle is used to model uncertainty by a maximum entropy distribution, subject to some appropriate linear constraints. We give an entropy concentration theorem (whose demonstration is based on large deviation techniques) which is a mathematical justification of this statistical modelling principle. Then we indicate how it can be used in artificial intelligence, and how relevant prior knowledge is provided by some classical descriptive statistical methods. It appears furthermore that the maximum entropy principle yields to a natural binding between descriptive methods and some statistical structures.

APA, Harvard, Vancouver, ISO, and other styles

15

Takane, Yoshio. "Report on the Second International Workshop on Artificial Intelligence and Statistics." Journal of Classification 6, no. 1 (1989): 163–64. http://dx.doi.org/10.1007/bf01908593.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Bessonov, A. A. "The use of artificial intelligence algorithms in the criminalistic study of criminal activity (on the example of serial crimes)." Courier of Kutafin Moscow State Law University (MSAL)), no. 2 (May 17, 2021): 45–53. http://dx.doi.org/10.17803/2311-5998.2021.78.2.045-053.

Full text

Abstract:

Since artificial intelligence technologies are firmly embedded in many areas of modern life, it is time to explore in detail their capabilities in criminology in the study of criminal activity. The article describes the experience of developing digital models of serial crimes committed for sexual reasons using artificial intelligence algorithms. The empirical basis of the study was data on 1068 serial crimes, including murder. Methods of mathematical statistics and a number of artificial intelligence algorithms were used for data processing: gradient boosting, neural networks, logistic regression, etc. As a result, typical signs of crimes and natural connections between them, used for training models, presented by artificial intelligence algorithms, are revealed. The obtained decision support systems allow predicting the distance from the crime scene to the place of residence of the offender (accuracy 88.3—93.5 %), the age of the offender (accuracy 80.3 %, confidence interval ±6 years), the presence of a mental illness (accuracy 81.5 %) and criminal record (accuracy 82 %), as well as some other characteristics. According to the results of the study, it is concluded that the methods of mathematical statistics and artificial intelligence can be used in the investigation of crimes, as well as in criminalistics.

APA, Harvard, Vancouver, ISO, and other styles

17

Glinin, D. Y., A. Y. Chernуtska, and A. M. Perperi. "ARTIFICIAL INTELLEGENCE IN ORGANISATION OF SMART CITIES." Regional problems of architecture and urban planning, no. 14 (December 29, 2020): 48–59. http://dx.doi.org/10.31650/2707-403x-2020-14-48-59.

Full text

Abstract:

The article discusses the world experience in the use of artificial intelligence systems, machine and deep learning in the functioning of the city, aa well as assesses the impact on the urban environment. Prospects for the use of artificial intelligence in managing all areas of the city: economic, transport, administrative, social, etc. open the way to the development of smart cities. Smart cities combine a wide variety of technologies and support those innovations that are capable of ensuring sustainable social and economic development of cities. The implementing of sensors for collecting and analyzing data of various areas of the city functioning provides material for statistical analysis that is not subject to human intelligence, but artificial. This information will be useful for the administrative structures to analyze their work done in city management, to track the dynamics of changes in the city, to obtain up-to-date data for researchers. This information is equally important for the urbanists for accurate and rapid calculations, which typically take up a significant portion of design time. The potential for using AI is fully revealed when using accurate statistics and relevant data, AI will be capable of designing urban structures taking into account all the rules, norms and factors. Using of artificial intelligence is not limited to statistics: predicting the outcome of design based on the changes made will help to find mistakes at the design stage by simulating the processes that take place in the city. The potential of using artificial intelligence is being fully exploited when, using accurate statistics and up-to-date data, AI will be able to design urban structures, taking into account all the rules, regulations and factors. With a broader selection of project options, architects and urban planners will be able to choose the one that will meet the needs of all design participants the best.

APA, Harvard, Vancouver, ISO, and other styles

18

Zhu, Delong. "The Application of Artificial Intelligence-based IoT Technology in Regional Economic Statistics." Journal of Physics: Conference Series 1648 (October 2020): 022042. http://dx.doi.org/10.1088/1742-6596/1648/2/022042.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Chen, Mason. "STEAMS Methodology of Playing Strategic Empire Video Game." International Journal of Applied Physics and Mathematics 10, no. 4 (2020): 153–59. http://dx.doi.org/10.17706/ijapm.2020.10.4.153-159.

Full text

Abstract:

This paper would introduce a STEM+ Methodology STEAMS by adding Artificial Intelligence and Statistics. In modern Big Data World, Artificial Intelligence algorithm is powerful for engineering problem solving to discover the complicated science or/and mechanics. Separating Statistics from Math can draw practical decision and conduct risk assessment. To demonstrate the powerful STEAMS methodology, a case study of playing a strategic Empire Four Kingdoms video game is deployed. STEAMS is powerful for modern educator, teacher, and student to develop their critical thinking and time management. Integrating 6 STEAMS elements are powerful to understand more insight information efficiently and effectively.

APA, Harvard, Vancouver, ISO, and other styles

20

El Biely, Mona Mustafa. "SHORT AND LONG-TERM PREDICTION BASED ON COMPLEX STATISTICS AND ARTIFICIAL INTELLIGENCE TECHNIQUES." Advances and Applications in Statistics 52, no. 4 (2018): 267–80. http://dx.doi.org/10.17654/as052040267.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Lee, DongSeop, MyoungHee Kim, and IlKang Na. "Artificial intelligence based career matching." Journal of Intelligent & Fuzzy Systems 35, no. 6 (2018): 6061–70. http://dx.doi.org/10.3233/jifs-169846.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Davendralingam, Natasha, Neil J. Sebire, Owen J. Arthurs, and Susan C. Shelmerdine. "Artificial intelligence in paediatric radiology: Future opportunities." British Journal of Radiology 94, no. 1117 (2021): 20200975. http://dx.doi.org/10.1259/bjr.20200975.

Full text

Abstract:

Artificial intelligence (AI) has received widespread and growing interest in healthcare, as a method to save time, cost and improve efficiencies. The high-performance statistics and diagnostic accuracies reported by using AI algorithms (with respect to predefined reference standards), particularly from image pattern recognition studies, have resulted in extensive applications proposed for clinical radiology, especially for enhanced image interpretation. Whilst certain sub-speciality areas in radiology, such as those relating to cancer screening, have received wide-spread attention in the media and scientific community, children’s imaging has been hitherto neglected. In this article, we discuss a variety of possible ‘use cases’ in paediatric radiology from a patient pathway perspective where AI has either been implemented or shown early-stage feasibility, while also taking inspiration from the adult literature to propose potential areas for future development. We aim to demonstrate how a ‘future, enhanced paediatric radiology service’ could operate and to stimulate further discussion with avenues for research.

APA, Harvard, Vancouver, ISO, and other styles

23

Wang, Yanru. "Research on Big Data Integration Method for Investment Statistics Based on Artificial Intelligence Technology." Journal of Physics: Conference Series 1757, no. 1 (2021): 012109. http://dx.doi.org/10.1088/1742-6596/1757/1/012109.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Kiss, Gabor. "Manchurian artificial intelligence in autonomous vehicles." Journal of Intelligent & Fuzzy Systems 38, no. 5 (2020): 5841–45. http://dx.doi.org/10.3233/jifs-179671.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Gale, William A. "Statistical applications of artificial intelligence and knowledge engineering." Knowledge Engineering Review 2, no. 4 (1987): 227–47. http://dx.doi.org/10.1017/s0269888900004136.

Full text

Abstract:

AbstractKnowledge engineering (KE) has now provided some effective techniques for formalization of knowledge about goals and actions. These techniques could open new areas of research to statisticians. Experimental systems designed to assist users of statistics have been constructed in experiment design, data analysis, technique application, and technique selection. Knowledge formalization has also been used in experimental programs to assist statisticians in doing data analysis and in building consultation systems. The best-explored application of KE techniques is building consultation systems. It is now a promising area for development. Analogies with successful artificial intelligence AI applications in other fields suggest other statistical applications worth exploring. Opening new areas to research and providing new tools to users would make considerable changes in the use and production of statistical techniques. However, applying currently available KE techniques will lead to more work for statisticians, not less.

APA, Harvard, Vancouver, ISO, and other styles

26

Yu, Zhonggen. "Visualizing Artificial Intelligence Used in Education Over Two Decades." Journal of Information Technology Research 13, no. 4 (2020): 32–46. http://dx.doi.org/10.4018/jitr.2020100103.

Full text

Abstract:

With the rapid development of computer science, use of artificial intelligence (AI) in education has caught much attention across the world although it is still a young field with many under-explored research elements. Through visualizing study with bibliometric evaluation and taxonomy of the literature using both VOSviewer and CiteSpace, this study provided references for readers in terms of cluster mapping on the basis of keywords, bibliographic coupling of countries, cluster mapping on the basis of co-citations, citation counts, bursts, betweenness centrality, and sigma. Researchers could also take the findings of this study into serious consideration when they set about researching effectiveness, efficiency, or usefulness of AI in education. Future research into use of AI in education will most likely need interdisciplinary cooperation between computer science, statistics, education, cognition, and robotics.

APA, Harvard, Vancouver, ISO, and other styles

27

Matani, Abdelaziz, Taha Al-Jody, and David Benson. "Pilot investigating of Correlation between Attainment and Attendance using Statistics, Neural Networking and Artificial Intelligence." Journal of Assessment Learning and Teaching in International Education 1, no. 1 (2019): 33–43. http://dx.doi.org/10.34255/jaltie.v1i1.26.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Felten, Edward W., Manav Raj, and Robert Seamans. "A Method to Link Advances in Artificial Intelligence to Occupational Abilities." AEA Papers and Proceedings 108 (May 1, 2018): 54–57. http://dx.doi.org/10.1257/pandp.20181021.

Full text

Abstract:

Prior episodes of automation have led to economic growth and also to many changes in the workplace. We expect the same from artificial intelligence (AI). The link between AI and labor is complex, however. To assist researcher and policymakers, we provide a method that links advances in AI to occupational abilities, and then aggregates from these abilities to the occupation level. We demonstrate the method by estimating which occupational descriptions have changed the most due to advances in AI between 2010 and 2015, and check our estimates using the Bureau of Labor Statistics scheduled update to occupational descriptions in 2016.

APA, Harvard, Vancouver, ISO, and other styles

29

Miranda, Luis de. "Artificial intelligence and philosophical creativity: From analytics to crealectics." Human Affairs 30, no. 4 (2020): 597–607. http://dx.doi.org/10.1515/humaff-2020-0053.

Full text

Abstract:

AbstractThe tendency to idealise artificial intelligence as independent from human manipulators, combined with the growing ontological entanglement of humans and digital machines, has created an “anthrobotic” horizon, in which data analytics, statistics and probabilities throw our agential power into question. How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? It is here argued that the fantasised autonomy of automated intelligence presents a contradistinctive opportunity for philosophical consciousness to understand itself anew as holistic and co-creative, beyond the recent “analytic” moment of the history of philosophy. Here we introduce the concept of “crealectic intelligence”, a meta-analytic and meta-dialectic aspect of consciousness. Intelligent behaviour may consist in distinguishing discrete familiar parts or reproducible functions in the midst of noise via an analytic process of segmentation; intelligence may also manifest itself in the constitution of larger wholes and dynamic unities through a dialectic process of association or assemblage. But, by contrast, crealectic intelligence co-creates realities in the image of an ideal or truth, taking into account the desiring agent imbued with a sense of possibility, in a relationship not only with the Real but also with the creative sublime or “Creal”.

APA, Harvard, Vancouver, ISO, and other styles

30

Khan, Raihan Sayeed, and Md Abul Ehsan Bhuiyan. "Artificial Intelligence-Based Techniques for Rainfall Estimation Integrating Multisource Precipitation Datasets." Atmosphere 12, no. 10 (2021): 1239. http://dx.doi.org/10.3390/atmos12101239.

Full text

Abstract:

This study presents a comprehensive investigation of multiple Artificial Intelligence (AI) techniques—decision tree, random forest, gradient boosting, and neural network—to generate improved precipitation estimates over the Upper Blue Nile Basin. All the AI methods merged multiple satellite and atmospheric reanalysis precipitation datasets to generate error-corrected precipitation estimates. The accuracy of the model predictions was evaluated using 13 years (2000–2012) of ground-based precipitation data derived from local rain gauge networks in the Upper Blue Nile Basin region. The results indicate that merging multiple sources of precipitation substantially reduced the systematic and random error statistics in the Upper Blue Nile Basin. The proposed methods have great potential in predicting precipitation over the complex terrain region.

APA, Harvard, Vancouver, ISO, and other styles

31

Bin, Yi, and Durbadal Mandal. "English teaching practice based on artificial intelligence technology." Journal of Intelligent & Fuzzy Systems 37, no. 3 (2019): 3381–91. http://dx.doi.org/10.3233/jifs-179141.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Hua, Tao, and Laixiang Li. "Computer network security technology based on artificial intelligence." Journal of Intelligent & Fuzzy Systems 37, no. 5 (2019): 6021–28. http://dx.doi.org/10.3233/jifs-179184.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Sejnowski, Terrence J. "The unreasonable effectiveness of deep learning in artificial intelligence." Proceedings of the National Academy of Sciences 117, no. 48 (2020): 30033–38. http://dx.doi.org/10.1073/pnas.1907373117.

Full text

Abstract:

Deep learning networks have been trained to recognize speech, caption photographs, and translate text between languages at high levels of performance. Although applications of deep learning networks to real-world problems have become ubiquitous, our understanding of why they are so effective is lacking. These empirical results should not be possible according to sample complexity in statistics and nonconvex optimization theory. However, paradoxes in the training and effectiveness of deep learning networks are being investigated and insights are being found in the geometry of high-dimensional spaces. A mathematical theory of deep learning would illuminate how they function, allow us to assess the strengths and weaknesses of different network architectures, and lead to major improvements. Deep learning has provided natural ways for humans to communicate with digital devices and is foundational for building artificial general intelligence. Deep learning was inspired by the architecture of the cerebral cortex and insights into autonomy and general intelligence may be found in other brain regions that are essential for planning and survival, but major breakthroughs will be needed to achieve these goals.

APA, Harvard, Vancouver, ISO, and other styles

34

Khalid, Nadeem. "Artificial intelligence learning and entrepreneurial performance among university students: evidence from malaysian higher educational institutions." Journal of Intelligent & Fuzzy Systems 39, no. 4 (2020): 5417–35. http://dx.doi.org/10.3233/jifs-189026.

Full text

Abstract:

Artificial intelligence learning at higher educational institutions is one of the emerging concepts having vital importance to promote entrepreneurship activities among the university students. However, Malaysian Universities are lacking with the artificial intelligence learning activities. The objective of the study is to examine the role of artificial intelligence learning to promote entrepreneurship performance with the help of entrepreneurial orientation and strategic entrepreneurship. Moreover, the moderating role of government funding and attitude towards entrepreneurship is also examined. To achieve the objective of this study, a survey was carried out among the Malaysian universities. 500 questionnaires were distributed among the universities and data were collected from the teaching staff. After collection of data, it was analysed with the help of Partial Least Square (PLS)-Structural Equation Modeling (SEM). It is concluded that artificial intelligence learning is most significant to promote entrepreneurial performance among university students. Entrepreneurial orientation and strategic entrepreneurship play a key role to transfer the positive effect of artificial intelligence learning on entrepreneurial performance. Additionally, government funding and attitude towards entrepreneurship also has significant role.

APA, Harvard, Vancouver, ISO, and other styles

35

Chornous, Galyna, and Ganna Ursulenko. "RISK MANAGEMENT IN BANKS: NEW APPROACHES TO RISK ASSESSMENT AND INFORMATION SUPPORT." Ekonomika 92, no. 1 (2013): 120–32. http://dx.doi.org/10.15388/ekon.2013.0.1131.

Full text

Abstract:

Abstract. This study is devoted to the problems of improving the banking risk management, taking into account the new regulatory and technological requirements based on the use of modern technology and combining the latest achievements in artificial intelligence, numerical mathematics, statistics and information technology.The paper analyzes the characteristics of banking risks, the main methods of assessment used in practice. The authors propose new prospective approaches to assessment, based on the most modern methods of data analysis,identify prospective directions for banking information system improvement and suggest the possibility of their implementation.The example of Ukrainian banks shows the main problems of using new approaches to risk assessment and its information support. The article proposes the ways to overcome them.Key words: banking risk management, artificial intelligence, banking risks estimation, data analysis

APA, Harvard, Vancouver, ISO, and other styles

36

Harré, Michael S. "Information Theory for Agents in Artificial Intelligence, Psychology, and Economics." Entropy 23, no. 3 (2021): 310. http://dx.doi.org/10.3390/e23030310.

Full text

Abstract:

This review looks at some of the central relationships between artificial intelligence, psychology, and economics through the lens of information theory, specifically focusing on formal models of decision-theory. In doing so we look at a particular approach that each field has adopted and how information theory has informed the development of the ideas of each field. A key theme is expected utility theory, its connection to information theory, the Bayesian approach to decision-making and forms of (bounded) rationality. What emerges from this review is a broadly unified formal perspective derived from three very different starting points that reflect the unique principles of each field. Each of the three approaches reviewed can, in principle at least, be implemented in a computational model in such a way that, with sufficient computational power, they could be compared with human abilities in complex tasks. However, a central critique that can be applied to all three approaches was first put forward by Savage in The Foundations of Statistics and recently brought to the fore by the economist Binmore: Bayesian approaches to decision-making work in what Savage called ‘small worlds’ but cannot work in ‘large worlds’. This point, in various different guises, is central to some of the current debates about the power of artificial intelligence and its relationship to human-like learning and decision-making. Recent work on artificial intelligence has gone some way to bridging this gap but significant questions remain to be answered in all three fields in order to make progress in producing realistic models of human decision-making in the real world in which we live in.

APA, Harvard, Vancouver, ISO, and other styles

37

Nguyen, Ngoc Thanh, Edward Szczerbicki, Bogdan Trawiński, and Van Du Nguyen. "Collective intelligence in information systems." Journal of Intelligent & Fuzzy Systems 37, no. 6 (2019): 7113–15. http://dx.doi.org/10.3233/jifs-179324.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Sun, Yuan. "Artificial intelligence recognition system for cracking character authentication code." Journal of Intelligent & Fuzzy Systems 35, no. 4 (2018): 4411–20. http://dx.doi.org/10.3233/jifs-169760.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Zhao, Ling, Lijiao Chen, Qing Liu, Mingyao Zhang, and Henry Copland. "Artificial intelligence-based platform for online teaching management systems." Journal of Intelligent & Fuzzy Systems 37, no. 1 (2019): 45–51. http://dx.doi.org/10.3233/jifs-179062.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Irshad Hussain. "Attitude of University Students and Teachers towards Instructional Role of Artificial Intelligence." International Journal of Distance Education and E-Learning 5, no. 2 (2020): 158–77. http://dx.doi.org/10.36261/ijdeel.v5i2.1057.

Full text

Abstract:

The present study evaluated the attitude of university students and teachers towards instructional role of artificial intelligence. It was a descriptive study and the researcher used survey approach for data collection. The data was collected from 323 university students and 196 university teachers by using two questionnaires developed (one for students and one for teachers) on five point rating (Likert) scales. Descriptive statistics i.e. percentage was used for data analysis. This study demonstrated positive attitude of university students and teachers towards AI and its instructional role. It appeared to be encouraging for the respondents as well as for the administrators and policy makers. The study suggested higher education institutions to formulate a feasible policy to get benefits of instructional role of AI in higher education.

APA, Harvard, Vancouver, ISO, and other styles

41

Cao, Zhao Wei. "The Research on Tactics Application of Table Tennis Matches Based on Artificial Intelligence." Advanced Materials Research 926-930 (May 2014): 2755–58. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2755.

Full text

Abstract:

Table tennis technical and tactical game research has been achieved by the qualitative to quantitative research and then to the interact and change, methods have changed from the past rely solely on the development of statistics to rely on manual methods of modern computing and computer-assisted technology. Computer simulation analysis of ball games provides a new idea for the game of table tennis technical and tactical analysis, part of the study attempts to artificial neural networks and computer simulation of ball games. However, technical and tactical indicators restrict its general nature training and competition practice applications. As an advanced artificial intelligence, machine learning methods has been widely used in data mining, decision support and other areas. In the analysis of the technical and tactical aspects of the game, it has emerged recently, but few people have a comprehensive system analysis, assessment and prediction research. This paper intends to conduct in-depth discussion on this research in order to provide decision support for table tennis.

APA, Harvard, Vancouver, ISO, and other styles

42

Li, Shisen, Shenglu Huo, and Wei Ke. "Intelligent Decision-Making System for Martial Arts Competition Using Deep Learning." Mobile Information Systems 2021 (May 20, 2021): 1–8. http://dx.doi.org/10.1155/2021/9920751.

Full text

Abstract:

In the field of martial arts, athletes can win the initiative in the competition if they can correctly and timely acquire the field knowledge, evaluate the situation efficiently, and formulate a suitable strategy. In this paper, we use fuzzy mathematics, mathematical statistics, and artificial intelligence learning algorithms to carry out systematic and in-depth research on the selection of Wushu competition scene decision-making. The fuzzy mathematics theory is combined with the intelligent design theory for decision-making based on a multiagent, case-based reasoning selection, and adaptability evaluation analysis. The Wushu competition scene decision system is constructed based on artificial intelligence learning algorithms. Our approach outperforms the existing approaches in terms of accuracy, sensitivity, specificity, and Matthew’s correlation coefficient (MCC). The results of our proposed model can be anticipated to have the potential for better flexibility and scalability in martial arts competition.

APA, Harvard, Vancouver, ISO, and other styles

43

Feng, Jinchao, Joshua L. Lansford, Markos A. Katsoulakis, and Dionisios G. Vlachos. "Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences." Science Advances 6, no. 42 (2020): eabc3204. http://dx.doi.org/10.1126/sciadv.abc3204.

Full text

Abstract:

Data science has primarily focused on big data, but for many physics, chemistry, and engineering applications, data are often small, correlated and, thus, low dimensional, and sourced from both computations and experiments with various levels of noise. Typical statistics and machine learning methods do not work for these cases. Expert knowledge is essential, but a systematic framework for incorporating it into physics-based models under uncertainty is lacking. Here, we develop a mathematical and computational framework for probabilistic artificial intelligence (AI)–based predictive modeling combining data, expert knowledge, multiscale models, and information theory through uncertainty quantification and probabilistic graphical models (PGMs). We apply PGMs to chemistry specifically and develop predictive guarantees for PGMs generally. Our proposed framework, combining AI and uncertainty quantification, provides explainable results leading to correctable and, eventually, trustworthy models. The proposed framework is demonstrated on a microkinetic model of the oxygen reduction reaction.

APA, Harvard, Vancouver, ISO, and other styles

44

Lira Cortes, Ana Laura, and Carlos Fuentes Silva. "Artificial Intelligence Models for Crime Prediction in Urban Spaces." Machine Learning and Applications: An International Journal 8, no. 1 (2021): 1–13. http://dx.doi.org/10.5121/mlaij.2021.8101.

Full text

Abstract:

This work presents research based on evidence with neural networks for the development of predictive crime models, finding the data sets used are focused on historical crime data, crime classification, types of theft at different scales of space and time, counting crime and conflict points in urban areas. Among some results, 81% precision is observed in the prediction of the Neural Network algorithm and ranges in the prediction of crime occurrence at a space-time point between 75% and 90% using LSTM (Long-ShortSpace-Time). It is also observed in this review, that in the field of justice, systems based on intelligent technologies have been incorporated, to carry out activities such as legal advice, prediction and decisionmaking, national and international cooperation in the fight against crime, police and intelligence services, control systems with facial recognition, search and processing of legal information, predictive surveillance, the definition of criminal models under the criteria of criminal records, history of incidents in different regions of the city, location of the police force, established businesses, etc., that is, they make predictions in the urban context of public security and justice. Finally, the ethical considerations and principles related to predictive developments based on artificial intelligence are presented, which seek to guarantee aspects such as privacy, privacy and the impartiality of the algorithms, as well as avoid the processing of data under biases or distinctions. Therefore, it is concluded that the scenario for the development, research, and operation of predictive crime solutions with neural networks and artificial intelligence in urban contexts, is viable and necessary in Mexico, representing an innovative and effective alternative that contributes to the attention of insecurity, since according to the indices of intentional homicides, the crime rates of organized crime and violence with firearms, according to statistics from INEGI, the Global Peace Index and the Government of Mexico, remain in increase.

APA, Harvard, Vancouver, ISO, and other styles

45

Hildebrandt, Mireille. "Law as computation in the era of artificial legal intelligence: Speaking law to the power of statistics." University of Toronto Law Journal 68, supplement 1 (2018): 12–35. http://dx.doi.org/10.3138/utlj.2017-0044.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

E. El-Khamy, Said, and Hend A. Elsayed. "Classification of Multi-User Chirp Modulation Signals Using Wavelet Higher-Order-Statistics Features and Artificial Intelligence Techniques." International Journal of Communications, Network and System Sciences 05, no. 09 (2012): 520–33. http://dx.doi.org/10.4236/ijcns.2012.59063.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Grant, L., P. Joo, B. Eng, A. Carrington, M. Nemnom, and V. Thiruganasambandamoorthy. "LO22: Risk-stratification of emergency department syncope by artificial intelligence using machine learning: human, statistics or machine." CJEM 22, S1 (2020): S15. http://dx.doi.org/10.1017/cem.2020.78.

Full text

Abstract:

Introduction: The Canadian Syncope Risk Score (CSRS) is a validated risk tool developed using the best practices of conventional biostatistics, for predicting 30-day serious adverse events (SAE) after an Emergency Department (ED) visit for syncope. We sought to improve on the prediction ability of the CSRS and compared it to physician judgement using artificial intelligence (AI) research with modern machine learning (ML) methods. Methods: We used the prospective multicenter cohort data collected for the CSRS derivation and validation at 11 EDs across Canada over an 8-year period. The same 43 candidate variables considered for CSRS development were used to train and validate the four classes of ML models to predict 30-day SAE (death, arrhythmias, MI, structural heart disease, pulmonary embolism, hemorrhage) after ED disposition. Physician judgement was modeled using the two variables, referral for consultation and hospitalization. We compared the area under the curve (AUC) for the three models. Results: The proportion of patients who suffered 30-day SAE in the derivation cohort (N = 4030) was 3.6% and in validation phase (N = 2290) was 3.4%. Characteristics of the both cohorts were similar with no shift. The best performing ML model, a gradient boosting tree-based model used all 43 variables as predictors as opposed to the 9 final CSRS predictors. The AUC for the three models on the validation data were: best ML model 0.91 (95% CI 0.87–0.93), CSRS 0.87 (95% CI 0.83–0.90) and physician judgment 0.79 (95% CI 0.74 - 0.84). The most important predictors in the ML model were the same as the CSRS predictors. Conclusion: A ML model developed using AI method for risk-stratification of ED syncope performed with slightly better discrimination ability though not significantly different when compared to the CSRS. Both the ML model and the CSRS were better predictors of poor outcomes after syncope than physician judgement. ML models can perform with similar discrimination abilities when compared to traditional statistical models and outperform physician judgement given their ability to use all candidate variables.

APA, Harvard, Vancouver, ISO, and other styles

48

Carrillo Menéndez, Santiago, and Bertrand Kian Hassani. "Expected Shortfall Reliability—Added Value of Traditional Statistics and Advanced Artificial Intelligence for Market Risk Measurement Purposes." Mathematics 9, no. 17 (2021): 2142. http://dx.doi.org/10.3390/math9172142.

Full text

Abstract:

The Fundamental Review of the Trading Book is a market risk measurement and management regulation recently issued by the Basel Committee. This reform, often referred to as “Basel IV”, intends to strengthen the financial system. The newest capital standard relies on the use of the Expected Shortfall. This risk measure requires to get sufficient information in the tails to ensure its reliability, as this one has to be alimented by a sufficient quantity of relevant data (above the 97.5 percentile in the case of the regulation or interest). In this paper, after discussing the relevant features of Expected Shortfall for risk measurement purposes, we present and compare several methods allowing to ensure the reliability of the risk measure by generating information in the tails. We discuss these approaches with respect to their relevance considering the underlying situation when it comes to available data, allowing practitioners to select the most appropriate approach. We apply traditional statistical methodologies, for instance distribution fitting, kernel density estimation, Gaussian mixtures and conditional fitting by Expectation-Maximisation as well as AI related strategies, for instance a Synthetic Minority Over-sampling Technique implemented in a regression environment and Generative Adversarial Nets.

APA, Harvard, Vancouver, ISO, and other styles

49

Shi, Tianru, Danhui Hu, Xiang Ren, Zeqi Huang, Yaodong Zhang, and Jianlan Yang. "Investigation on the Lightning Location and Warning System Using Artificial Intelligence." Journal of Sensors 2021 (September 4, 2021): 1–11. http://dx.doi.org/10.1155/2021/6108223.

Full text

Abstract:

An in-depth study on a lighting location system is conducted in this paper. Firstly, the history and application of this system are summarized. The overall structure is detailed, including the detection principle of the lightning location, the orientation method, the detection circuit, the method of discriminating cloud flash and ground lightning signal, the error analysis, the guideline for station deployment, the preprocessing of the central station, and the function and structure of data server and user interface. The development of a lightning monitoring system in China is presented, and the construction of a new generation of a lightning location system in the Hubei Province power grid is introduced. Through the collection of measured data, the performance of the lightning location system in the lightning accident inspection rate, lightning location, and lightning situation statistics are analyzed. Artificial intelligence algorithms are applied in the lightning warning system. The new system has a high predicting accuracy.

APA, Harvard, Vancouver, ISO, and other styles

50

Üneş, Fatih, Mustafa Demirci, Martina Zelenakova, et al. "River Flow Estimation Using Artificial Intelligence and Fuzzy Techniques." Water 12, no. 9 (2020): 2427. http://dx.doi.org/10.3390/w12092427.

Full text

Abstract:

Accurate determination of river flows and variations is used for the efficient use of water resources, the planning of construction of water structures, and preventing flood disasters. However, accurate flow prediction is related to a good understanding of the hydrological and meteorological characteristics of the river basin. In this study, flow in the river was estimated using Multi Linear Regression (MLR), Artificial Neural Network (ANN), M5 Decision Tree (M5T), Adaptive Neuro-Fuzzy Inference System (ANFIS), Mamdani-Fuzzy Logic (M-FL) and Simple Membership Functions and Fuzzy Rules Generation Technique (SMRGT) models. The Stilwater River in the Sterling region of the USA was selected as the study area and the data obtained from this region were used. Daily rainfall, river flow, and water temperature data were used as input data in all models. In the paper, the performance of the methods is evaluated based on the statistical approach. The results obtained from the generated models were compared with the recorded values. The correlation coefficient (R), Mean Square Error (MSE), and Mean Absolute Error (MAE) statistics are computed separately for each model. According to the comparison criteria, as a final result, it is considered that Mamdani-Fuzzy Logic (M-FL) and Simple Membership Functions and Fuzzy Rules Generation Technique (SMRGT) model have better performance in river flow estimation than the other models.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Statistics|Artificial intelligence'

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