Probing The Past With Data Analytics And AI


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English | 2025 | ISBN: 9819807360 | 260 Pages | PDF (True) | 11 MB
This comprehensive compendium explains the technical challenges and opportunities behind the most recent and successful applications in artificial intelligence [AI] and data analytics. It focuses on applications that have the power to be adapted to many different fields and explains how AI can be implemented as an assistant in digital humanities. It also introduces new methods and applications in classification trees, networks, and Bayesian learning.
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Intelligent Data Engineering and Analytics Proceedings of the 12th International Conference on Frontiers in Intelligent


Free Download Vikrant Bhateja, "Intelligent Data Engineering and Analytics: Proceedings of the 12th International Conference on Frontiers in Intelligent"
English | ISBN: 981960138X | 2025 | 639 pages | EPUB | 95 MB
The book presents the proceedings of the 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2024), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, during June 6-7, 2024. Researchers, scientists, engineers and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into four volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
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Intelligent Data Analytics for Power and Energy Systems


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English | ISBN: 9811660808 | 2022 | 663 pages | EPUB | 102 MB
This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.
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Data Science e Machine Learning Dai dati alla conoscenza (Italian Edition)


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Italian | January 3, 2025 | ISBN: N/A | ASIN: B0DS6PLPCK | 521 pages | EPUB | 6.61 Mb
In un’era in cui i dati sono considerati il nuovo petrolio, capire come estrarre valore da essi è diventato essenziale per qualsiasi professionista o azienda che voglia rimanere competitiva. "Data Science e Machine Learning" di Michele di Nuzzo è la guida definitiva per chi desidera immergersi nel mondo della scienza dei dati, apprendere le tecniche di machine learning più avanzate e scoprire come applicarle ai problemi reali.
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Data Fusion Mathematics Theory and Practice


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English | 2025 | ISBN: 1032904364 | 665 Pages | PDF (True) | 38 MB
This new edition offers updated chapters alongside four new chapters that are based on recent research carried out by the authors, including topics on machine learning techniques, target localization using a network of 2D ground radar, thermal imaging sensors for multi‑target angle‑only tracking, and multi‑sensor data fusion for a single platform and team platforms. This book also covers major mathematical expressions, formulae and equations, and, where feasible, their derivations. It discusses signed distance function concepts, DF models and architectures, aspects and methods of types 1 and 2 fuzzy logics, and related practical applications. In addition, the authors cover soft computing paradigms that are finding increasing applications in multi-sensory DF approaches and applications.
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Cyber-Physical Systems Data Science, Modelling and Software Optimization


Free Download Cyber-Physical Systems: Data Science, Modelling and Software Optimization by Alla G. Kravets, Alexander A. Bolshakov
English | September 24, 2024 | ISBN: 303167684X | 239 pages | MOBI | 18 Mb
This book is devoted to new approaches to modeling and design of cyber-physical systems. Nowadays, cyber-physical systems become widely used in different domains. Scientific society suggests new approaches to engineering and optimization of cyber-physical systems, however, there are still open questions that need to be covered by research and development.
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Advances on Intelligent Computing and Data Science II, Volume 2


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English | 2025 | ISBN: 3031913531 | 521 Pages | PDF EPUB (True) | 59 MB
This book presents the proceedings of the 4th International Conference on Advanced Computing and Informatics (ICACIn’24). The conference, held on December 16-17, 2024, at STEAMhouse, Birmingham City University (UK), with a parallel session at Hassan II University (Morocco), attracted submissions by researchers in 20 countries. Out of 91 submissions, 46 high-quality papers were selected, presenting the latest advancements and cutting-edge developments in computing and informatics. The book covers a wide range of advanced computing topics, including data science, big data analytics, the Internet of Things (IoT), smart computing, artificial intelligence, machine learning, cybersecurity, intelligent communication systems, health informatics, and information systems. Designed for researchers, practitioners, and graduate students, this book serves as a valuable resource for exploring advanced intelligent computing techniques and their real-world applications.
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