Academic literature on the topic 'AlgoRHYTHMS'

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Journal articles on the topic "AlgoRHYTHMS"

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GB. "Too live nurse presents: Rockin to the algorhythms." Journal of Emergency Nursing 22, no. 3 (1996): 222–23. http://dx.doi.org/10.1016/s0099-1767(96)80111-5.

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Stockinger, Zsolt, and Norman McSwain. "MINIMISING FUTILITY OF RESUSCITATIVE THORACOTOMY THROUGH USE OF ALGORHYTHMS." Critical Care Medicine 34 (December 2006): A52. http://dx.doi.org/10.1097/00003246-200612002-00183.

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Fetscher, Sebastian, Jan Schmielau, and Wolfgang Schulze-Seemann. "Five-Year, Disease-Free Survival after Repeat Palliative Multimodality Therapy in a Patient with Recurrent Metastastic Bladder Cancer." Scientific World JOURNAL 7 (2007): 1736–42. http://dx.doi.org/10.1100/tsw.2007.283.

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In appropriately selected cases, palliative therapeutic strategies can be adapted to those special features of cancer biographies that indicate an atypical course of disease. Elucidating these features, and adapting multimodal treatment strategies to them, can lead to significantly superior effects when compared to the routine application of conventional treatment algorhythms. A case of regionally metastactic bladder cancer is presented that documents the value of repeat debulking-surgery and repeat radiotherapy leading to unexpected short-term and long-term treatment results.
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Jinan, Abwabul, Manutur Siregar, Vicky Rolanda, Dede Fika Suryani, and Abdul Muis. "Comparing Neural Networks, Support Vector Machines, and Naïve Bayes Algorhythms for Classifying Banana Types." Journal of Computer Networks, Architecture and High Performance Computing 6, no. 1 (2023): 98–107. http://dx.doi.org/10.47709/cnahpc.v6i1.3381.

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One of the most significant fruits for human consumption is the banana. Fruit consumption not only promotes health but also lowers the risk of heart disease, stroke, digestive issues, hypertension, some cancers, cataracts in the eyes, skin ailments, cholesterol reduction, and, perhaps most importantly, boosts immunity.The study included secondary data, which is information gathered from online resources like Kaggle. Ten categories of bananas will be identified from the 531 total varieties of bananas used as a train dataset: Ambon bananas, Stone bananas, Cavendish bananas, Kepok bananas, Mas bananas, Red bananas, plantains, Milk bananas, Horn bananas, and Varigata bananas. The development of information technology for image object recognition has become a very intriguing topic along with the rapid advancement of society, and it is undoubtedly directly tied to information data. In order to examine Naive Bayes, Support Vector Machine, and Neural Network techniques for classifying banana types, researchers will use the SqueezeNet Deep Learning model to extract features from photos. The study's findings will provide empirical evidence for the distinctions between each algorithm's accuracy, recall, and precision. Based on the collected results, the Neural Network (NN) method is the best in terms of classification, with accuracy of 72.3%, precision of 72.1%, and recall of 72.3%.
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Ivanov, D. I. "METHODS OF IMAGE RECOGNITION IN A VIDEO STREAM." Applied Mathematics and Fundamental Informatics 8, no. 1 (2021): 042–49. http://dx.doi.org/10.25206/2311-4908-2021-8-1-42-49.

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The article examines the problem of automatic object recognition using a video stream as a digital image. Algorithms for recognizing and tracking objects in the video stream are considered, methods used in video processing are analyzed, and the use of machine learning tools in working with video is described.The main approaches to solving the problem of recognizing moving objects in a video stream are investigated: the detection-based approach and the tracking-based approach. Arguments are made in favor of the tracking-based approach, and, in addition, modern methods of tracking objects in the video stream are considered. In particular, the algorhythms: Online Boosting Tracker - one of the first object tracking algorithms with high tracking accuracy, MIL Tracker (Multiple Instance Learning Tracker), which is a development of the idea of learning with a teacher and the Online Boosting algorithm and the KCF Tracker algorithm (Kernelized Correlation Filters Tracker) - a method that uses the mathematical properties of overlapping areas of positive examples.As a result, the advantages and disadvantages of the considered methods and algorithms for recognizing and tracking objects for various applications are highlighted.
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Carrozzo, Marco, Stephen Porter, Valeria Mercadante, and Stefano Fedele. "Oral lichen planus: A disease or a spectrum of tissue reactions? Types, causes, diagnostic algorhythms, prognosis, management strategies." Periodontology 2000 80, no. 1 (2019): 105–25. http://dx.doi.org/10.1111/prd.12260.

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Joó, József Gábor, Mónika Csanád, Katalin Tóth, Szabolcs Máté, and Zsolt Nagy. "Risk assessment in familial breast cancer." Orvosi Hetilap 152, no. 19 (2011): 758–62. http://dx.doi.org/10.1556/oh.2011.29110.

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Women with a history of breast cancer are common at centers for cancer genetic risk all over Europe. Given limited health care resources, managing this demand, while achieving good value for money coming from health services, is generally a major challenge. This paper recapitulates and summarizes the available methods of the risk assessment of familial breast cancer. After a systematic review of the literature Gail-model, Claus-model and BOADICEA-model were selected, as well as softwares (LINKAGE software; MENDEL v3.3 software) available in the application of these algorhythms are also summarized. Comparisons were made between the models concerning their advantages and disadvantages. The really reliable methods of risk estimation of familial breast cancer are always based on the analysis of the pedigree structure and allow the estimation of the patient’s probability of carrying a susceptibility gene under a particular genetic model, given her family history. For this method the knowledge of BRCA mutation status is absolutely indispensable. The methods of BRCA mutation analysis as well as the main characteristics of the occurrence of BRCA mutation carrier condition are discussed in details. Orv. Hetil., 2011, 152, 758–762.
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Sunarto, Sunarto, and Addi Mardi Harnanto. "Analisis Model Simulasi Berbasis Algoritma Dalam Peningkatan Kompetensi Manajemen Kesiagaan Bencana Perawat Komunitas Kota Surakarta." (JKG) JURNAL KEPERAWATAN GLOBAL 4, no. 2 (2019): 102–8. http://dx.doi.org/10.37341/jkg.v4i2.78.

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Background: The Republic of Indonesia is a country that is vulnerable to disasters. Disaster preparedness is an important component in disaster management in order to reduce mortality or morbidity. One component of the community component that plays a role in disaster preparedness is health workers including nurses. The role and competence of disaster management must be considered and enhanced for community nurses to ensure the safety of the community in dealing with disasters starting from the prevention phase, the mitigation phase, the preparedness phase, the emergency response phase and the recovery phase. Algorhythms is an effective method in increasing understanding in a training or simulation.This study was conducted to analyze the effectiveness of the algorithm based algorithm can increase competency of disaster preparedness management in community nurses in the city of Surakarta. Methods: This type of research is a comparative experimental study with a pretest-post test with control group design. The population in this study were all community nurses in the city of Surakarta as many as 110 people. The sampling technique was a total sampling of 97 people (88%). Data is tested by Difference Test. Results: There was an increase in the value of roles and competencies in all groups. Difference in value improvement in the treatment group is (role = 2.56 and competence = 2.76). While the increase in value in the control group is (role = 2.05 and competence = 1.88). Value of P = 0.00. Conclusion: There are significant differences in the value of roles and competencies between the treatment and control groups. Increasing the value of the role and competence of the simulation group with algorithm learning is higher than the control group.
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Quirumbay Yagual, D., B. Soria Méndez, and V. Cruz Ruiz. "Efficient clustering of e-mails by applying supervised machine learning algorithms." Journal of Applied Research and Technology 22, no. 4 (2024): 560–66. http://dx.doi.org/10.22201/icat.24486736e.2024.22.4.2383.

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In today’s digital age, effective detection of unwanted emails, commonly known as ”spam”,has become a priority for individuals and organisations alike. As email inboxes fill up withunsolicited messages, it has become evident that the predefined rules and heuristics used bytraditional spam filters have lost their effectiveness. This persistent problem poses challengesat both the personal and business level.Despite efforts to protect email accounts with anti-virus, which in many cases come at a cost,spam remains a growing concern. For businesses, implementing costly firewalls can be an un-necessary burden. The problem of spam persists, and its impact on the efficiency and securityof email communication is indisputable.The primary objective of this paper is to investigate and evaluate machine learning algorithmsspecifically designed to address the challenge of automatic spam detection. This is achieved byusing text classification techniques applied to mail servers and personal computers. In particu-lar, three key algorithms are examined: Random Forest, Decision Tree and Naive Bayes, withthe intention of determining their applicability in both environments.This study relies on two essential research methodologies. First, feature selection, a crucialprocess that identifies the most relevant variables in mail classification, including keywordsand word frequencies, is carried out. In addition, performance evaluation, which uses metricssuch as accuracy, recall and F1-score, is employed to understand the performance of MachineLearning models in detecting spam and legitimate emails.The results of this study are presented in the form of comparative tables showing the hit andmiss rates of the three models evaluated. Notably, it is determined that the Random Forestmodel, when applied in conjunction with tokenisation techniques, exhibits superior efficiencycompared to the other two models.The choice of the right Machine Learning model is critical to ensure efficiency in email classifica-tion, and this study provides a solid basis for making informed decisions in the implementationof email security systems in real world business environments. Spam detection, supported bymachine learning algorhythms, remains an evolving field and offers a promising solution toaddress a persistent problem in the digital world.
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Bijlsma, Joost. "Slave to the algorhythm." Skipr 12, no. 2-3 (2019): 10–15. http://dx.doi.org/10.1007/s12654-019-0009-3.

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Dissertations / Theses on the topic "AlgoRHYTHMS"

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Forsse, Viktor, and Tobias Anderberg. "Osynliga Processer : En audiell utforskning av det osynliga." Thesis, Blekinge Tekniska Högskola, Institutionen för teknik och estetik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14554.

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Med detta kandidatarbete vill vi skapa en koppling mellan vårt lyssnande och de osynliga processer som omringar oss i den digitala teknik vi använder vardagligen. Med Salomé Voegelins okonventionella syn på hur vi lyssnar på vår omgivning samt teorin kring AlgoRHYTHMS som utgångspunkt har vi genomgått en djupgående utforskning av denna relation.Genom att tillämpa Critical Making i en experimentell skapandeprocess med ambitioner´ att hitta en materialitet i det subliminala hittade vi istället ett samspel mellan två osynliga medier som tillsammans bildar en digital materialitet.<br>With this bachelor thesis our aim to establish a connection between our listening and the invisible processes that surrounds us inside the digital technology we use on a daily basis. With the unconventional views of Salomé Voegelin on how we listen to our surroundings together with the theory of AlgoRHYTHMS as a starting point we have undergone a in-depth exploration of this relation.By applying Critical Making in an experimental creative process with the ambition to find a materiality in the subliminal we instead found an interaction between two invisible mediums which together forms a digital materiality.
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Chu, Pei Yue Liu. "Efficient and portable parallel algorithms for Cholesky decomposition /." Diss., 2003. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3086940.

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Sotoudehnia, Maral. "Rambunctious geographies: intimate encounters, algorhythmics, and making the blockchain real." Thesis, 2021. http://hdl.handle.net/1828/13119.

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Blockchains, like many “disruptive” digital media, continue to garner significant academic and popular attention about what they are. Recent critical provocations in geography and cognate disciplines shift lines of enquiry to interrogate the material realities of digital technologies, emphasizing instead how they are lived. Inspired by critical and feminist thinking, the primary task of this dissertation is to follow the latter mode of analysis and present a critical cartography of blockchains, loosely defined. The critical cartography presented in this study sketches a conceptual and methodological map of context-specific and intimate blockchains practices I participated in and experienced from 2013-2020, in a mostly Canadian context. I construct this cartography by using a variety of autobiographical and auto-ethnographic methods that are sometimes buttressed by more conventional qualitative methods. Research reveals that blockchains have the capacity to become economic in a diversity of ways, enacting multiple rowdy characteristics of capitalism, a phenomenon I term rambunctious capitalism. Rambunctious economic flows actualizing through blockchains rely on different situations of power to enact nomadic subject/ivities in a variety of spatial, temporal, and material contexts. Specifically, the blockchain practices addressed in this dissertation highlight the embodiment of joyful moments for a pregnant body working in Toronto’s crypto-economy, the algorhythmic impacts of blockchain hard fork events, where code participates in the instantiation of diverse temporalities that produce uneven geographies, and the materialization of Canadian policy discourses about blockchains that position and, in some cases, implement these media as smart solutions to civic service delivery. Findings presented throughout this study contribute to feminist and digital geographies by offering autobiographical, auto-ethnographic, and intimate accounts of blockchains, and how they are practiced as lived and multiple realities. In addition, this dissertation also adds ethnographic research to the now expansive multi-disciplinary scholarship on blockchains and cryptocurrencies to understand how these media operate in specific contexts.<br>Graduate
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El, Hajj Tracey M. "Tactical network sonification: a listening technique for science and technology studies." Thesis, 2020. http://hdl.handle.net/1828/12540.

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Networks are an integral part of everyday life. Today, public concern with the extent to which they influence people’s routines, and how much they affect cultures and societies, has grown substantially. People are thus now engaging in conversations and movements to evaluate and address the biases and discriminatory behaviours to which networks contribute. The media play an important part in this conversation, often directing the discourse towards fears of technology. Although such concerns are very real, the stories that media circulate typically rely on the “magical” nature of networks and therefore accentuate their figurative power. But, for people to participate meaningfully in the conversation, and for them to approach technologies responsibly, they need access to the complexities and technical intricacies of networks, not just their surfaces or metaphors. This dissertation argues that, by listening to networks, people can begin to apprehend, and even comprehend, the complex, ostensibly “magical” nature of their communications. One problem is that listening semantically to networks is incredibly difficult, if not impossible. Networks are very noisy, and they do not, for instance, use alphabetic language for internal or external communication. Yet there are other ways to hear and interpret them. I argue that Michel Chion’s techniques of reduced and causal listening are two such ways, and that they afford a “sensible” and timely method for approaching networks. Of course, network communications must first be rendered audible to hear them. For this purpose, I propose “tactical network sonification” (TNS) as a methodology for Science and Technology Studies (STS). As this dissertation’s primary contribution to the field of STS, TNS focuses on making the materiality of networks sensibly accessible to the general public, especially people who are not technology experts. In so doing, TNS builds on the scholarship of not only Chion but also Beth Coleman, Matthew Kirschenbaum, Henri Lefebvre, Shannon Mattern, Shintaro Miyazaki, Pauline Oliveros, Rita Raley, and Jonathan Sterne in particular. This project finds that TNS results in crowded sound clips that represent the complexity of network infrastructure, through the many overlapping rhythms and layers of sound that each clip contains. It explains that sonifications may assist in creating multimodal network stories, making networks sensible and apprehendable. Finally, this dissertation proposes that using TNS can help understand potential discriminatory distribution of network infrastructure across communities.<br>Graduate<br>2021-12-18
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Books on the topic "AlgoRHYTHMS"

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Jan-Frederik, Mai. Simulating Copulas: Stochastic Models, Sampling Algorhythms, and Applications. World Scientific Publishing Co Pte Ltd, 2012.

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Mayley, Giles. Explorations into the interactions between learning and evolution using genetic algorhythms. 2000.

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Phoenix, Michael. IRise: An Algorhythm of Freedom. Emergent Strategies LLC, 2018.

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Phoenix, Michael. Algorhythmic Insight: Poetic Analysis of the Journey. Emergent Strategies LLC, 2019.

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Cox, Geoff, and Morton Riis. (Micro)Politics of Algorithmic Music. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.22.

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The chapter explores a shift of emphasis from the macro to micro scale of algorithmic music, by making reference to Deleuze and Guattari’s notion of micropolitics, microtemporality in the work of Wolfgang Ernst, and Shintaro Miyazaki’s concept of algorhythmics. By drawing together tactical media and media archaeology to address the politics of algorithmic music, an argument is developed that ‘tactical media archaeology’ offers an analytical method for developing alternative compositions. By emphasizing more speculative approaches and broader ecologies of practice exemplified by the critical engineering of Martin Howse, the chapter claims that algorithms need to understood as part of temporal, relational, and contingent operations that are sensitive to their conditions and future trajectories.
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Book chapters on the topic "AlgoRHYTHMS"

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Miyazaki, Shintaro. "Algorhythmics." In The Routledge Companion to Media Studies and Digital Humanities. Routledge, 2018. http://dx.doi.org/10.4324/9781315730479-24.

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Cappelli, M., R. Molino Lova, S. Ermini, A. Turchi, and G. Bono. "Algorhythm for the Diagnosis of Sapheno-Femoral Junction Incompetence." In Phlebology ’95. Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3095-6_137.

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"AlgoRHYTHMS Everywhere: A Heuristic Approach to Everyday Technologies." In Off Beat. Brill | Rodopi, 2013. http://dx.doi.org/10.1163/9789401208871_010.

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Miyazaki, Shintaro. "En-countering AI as algorhythmic practice." In Handbook of Critical Studies of Artificial Intelligence. Edward Elgar Publishing, 2023. http://dx.doi.org/10.4337/9781803928562.00069.

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"Tinker, Tailor . . . Trial and Error: Experimental Design and the “Algorhythmic”." In The World According to Military Targeting. The MIT Press, 2025. https://doi.org/10.7551/mitpress/15695.003.0008.

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Conference papers on the topic "AlgoRHYTHMS"

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El Hajj, Tracey. "Network Sonification and the Algorhythmics of Everyday Life." In ICAD 2021: The 26th International Conference on Auditory Display. International Community for Auditory Display, 2021. http://dx.doi.org/10.21785/icad2021.027.

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Today, public concern with the extent to which they influence people’s routines, and how much they affect cultures and societies, has grown substantially. This paper argues that, by listening to networks, people can begin to apprehend, and even comprehend, the complex, ostensibly “magical” nature of network communications. One problem is that listening semantically to networks is incredibly difficult, if not impossible. Networks are very noisy, and they do not, for instance, use alphabetic language for internal or external communication. For the purpose of interpreting networks, I propose “tactical network sonification” (TNS), a technique that focuses on making the materiality of networks sensibly accessible to the general public, especially people who are not technology experts. Using an electromagnetic transduction device—Shintaro Miyazaki and Martin Howse’s Detektor—TNS results in crowded sound clips that represent the complexity of network infrastructure, through the many overlapping rhythms and layers of sound that each clip contains.
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Trivedi, Arpit, Kartikey Pandey, Vaibhav Gupta, and Mukesh Kumar Jha. "AlgoRhythm - A Sorting and Path-finding visualizer tool to improve existing algorithms teaching methodologies." In 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2023. http://dx.doi.org/10.1109/confluence56041.2023.10048793.

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