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This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2025) organized by Stamford International University, Bangkok, Thailand, during September 19–20, 2025. The...
Editeur :
Springer
Parution :
2026-01-16
PDF, ePub
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As cities evolve at unprecedented speed and scale, traditional digital twins—virtual models of physical urban systems—fall short in capturing the dynamic and complex nature of urban life. This book bridges the gap between digital urban representations and...
Editeur :
Springer
Parution :
2026-01-16
PDF, ePub
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This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI)...
Editeur :
Apress
Parution :
2023-08-16
PDF, ePub
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This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that...
Editeur :
Apress
Parution :
2020-10-13
PDF, ePub
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Use popular data mining techniques in Microsoft Excel to better understand machine learning methods.Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm...
Editeur :
Apress
Parution :
2020-06-13
PDF, ePub
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Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB...
Editeur :
Apress
Parution :
2019-12-13
PDF, ePub
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Learn the intricate workings of DAX and the mechanics that are necessary to solve advanced Power BI challenges. This book is all about DAX (Data Analysis Expressions), the formula language used in Power BI—Microsoft’s leading self-service business intelligence...
Editeur :
Apress
Parution :
2019-12-10
PDF, ePub
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Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move from your current expertise into one of the fastest growing areas of...
Editeur :
Apress
Parution :
2018-10-11
PDF, ePub
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An expert integration of digital twin technology and advanced simulation methods for the design and optimization of electronic packaging systems In Stochastic Finite Element Modeling in Electronic Packaging, distinguished researcher Liu Chu delivers an expert discussion...
Editeur :
Wiley-IEEE Press
Parution :
2026-01-06
PDF, ePub
Offre spéciale
-10%
105,00€
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This open access volume presents the select proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025). It bridges the gap between cutting-edge AI/ML technologies and the critical need for...
Editeur :
Atlantis Press
Parution :
2026-01-05
PDF
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This book discusses recent developments and contemporary research in artificial intelligence, machine learning, cryptography, network security, cyber security and blockchain technology. All contributing authors are eminent academicians, scientists, researchers, and...
Editeur :
Springer
Parution :
2026-01-01
PDF, ePub
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This monograph focuses on the development of diagnostic procedures for diseases related to retinal nerve conditions using features of waveforms of pupillary light reflex (PLR).
Eye pupil reflection of light pulses is a well-known phenomenon, but the response mechanism...
Editeur :
Springer
Parution :
2026-01-01
PDF, ePub
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This book aims to redefine how organizations view talent, skills, and workforce readiness in the 21st century. The rapid acceleration of artificial intelligence, machine learning, and digital transformation is reshaping the global workforce at an unprecedented pace. As...
Editeur :
Apress
Parution :
2026-01-01
PDF, ePub
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The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2023.The book covers research in the areas of artificial intelligence, machine learning, and...
Editeur :
Springer
Parution :
2026-01-01
PDF, ePub
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Diese Arbeit befasst sich mit Kundenrezensionen in der Telekommunikationsbranche, wobei moderne Machine Learning Methoden im Bereich Sentiment Analysis und Explainable AI angewendet werden.
Hierbei wird als empirische Studie eine große Mengen an Textdaten aus...
Editeur :
Springer Gabler
Parution :
2026-01-01
PDF, ePub
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In this book, the authors describe how designers evolve their designs through the Design Evolution Cycle. It identifies challenges associated with designing complex systems, such as dealing with multiple conflicting goals, evolving design preferences, nonlinear and...
Editeur :
Springer
Parution :
2026-01-01
PDF, ePub
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This book presents a collection of recent advances in stochastic numerical analysis and computational finance. Stochastic numerical methods have played a pivotal role in probability theory, statistics, and applied mathematics, particularly in the rapidly evolving fields...
Editeur :
Springer
Parution :
2026-01-01
PDF, ePub
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By integrating cutting-edge statistical research with diverse applications, this book serves as both a reference and an inspiration for those interested in advancing Bayesian methodologies. This volume brings together a collection of research contributions that...
Editeur :
Springer
Parution :
2026-01-01
PDF, ePub
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This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all.
This book,...
Editeur :
Springer
Parution :
2026-01-01
PDF, ePub
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This brief introduces the readers of predictive cheminformatics to the concept of cliffs in the structure-activity landscape, which may greatly affect the data set modelability and the quality of predictions, hence generating disappointment from the performance of...
Editeur :
Springer
Parution :
2026-01-01
PDF, ePub
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