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Intelligent Adaptability


Intelligent Adaptability
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Intelligent Adaptability


Intelligent Adaptability
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Author : Sandy Kemsley
language : en
Publisher: Future Strategies Inc.
Release Date : 2019-10-24

Intelligent Adaptability written by Sandy Kemsley and has been published by Future Strategies Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-24 with Business & Economics categories.


Intelligent Adaptability describes how ACM is emerging in the era of machine intelligence and automation technologies, including Big Data, digitization, Internet of Things (IoT), artificial intelligence (AI), intelligent BPMS and BPM Everywhere. WfMC Chair, Keith Swenson states; “A platform for digital transformation brings a number of different capabilities together: processes, agents, integration, analytics, decisions, and—perhaps most important—case management.” In this book, you will learn how support of adaptive, data-driven processes empowers knowledge workers to know in real-time what is happening at the edge points, and to take actions through the combination of rule-driven guidance and their own know-how. It is not a traditionally-automated system but intelligent adaptability, where technology doesn’t replace human decision-making but extends the reach of the knowledge worker; making data actionable. In award-winning case studies covering industries as a diverse as law enforcement, public safety, transportation, insurance, banking, state services and healthcare, you will find instructive examples for how to transform your own organization. Leading industry analysts study the awards entries for emerging industry trends. Read the chapter, The Seven Trends Impacting The Case Management Landscape by Connie Moore, Digital Clarity Group. This important book follows these ground-breaking best-sellers on ACM; Best Practices for Knowledge Workers, Thriving on Adaptability, Empowering Knowledge Workers, Taming the Unpredictable, How Knowledge Workers Get Things Done, and Mastering the Unpredictable and provides important papers by thought-leaders in this field, together with practical examples.



Intelligent Adaptation And Personalization Techniques In Computer Supported Collaborative Learning


Intelligent Adaptation And Personalization Techniques In Computer Supported Collaborative Learning
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Author : Thanasis Daradoumis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-14

Intelligent Adaptation And Personalization Techniques In Computer Supported Collaborative Learning written by Thanasis Daradoumis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-14 with Computers categories.


Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems.



Adaptive Business Intelligence


Adaptive Business Intelligence
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Author : Zbigniew Michalewicz
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-02

Adaptive Business Intelligence written by Zbigniew Michalewicz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-02 with Computers categories.


In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools. Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? And what is the best decision right now? Adaptive Business Intelligence includes elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The authors have considerable academic research backgrounds in artificial intelligence and related fields, combined with years of practical consulting experience in businesses and industries worldwide. In this book they explain the science and application of numerous prediction and optimization techniques, as well as how these concepts can be used to develop adaptive systems. The techniques covered include linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling. This book is suitable for business and IT managers who make decisions in complex industrial and service environments, nonspecialists who want to understand the science behind better predictions and decisions, and students and researchers who need a quick introduction to this field.



Intelligent Adaptive Systems


Intelligent Adaptive Systems
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Author : Ming Hou
language : en
Publisher: CRC Press
Release Date : 2018-10-30

Intelligent Adaptive Systems written by Ming Hou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Computers categories.


As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned. Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.



Information Processing And Network Provisioning


Information Processing And Network Provisioning
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Author : Michel Kadoch
language : en
Publisher: Springer Nature
Release Date : 2025-07-21

Information Processing And Network Provisioning written by Michel Kadoch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-21 with Computers categories.


The four-volume set CCIS 2416, 2417, 2418 and 2419 constitutes the refereed post-conference proceedings of the Third International Conference on Information Processing and Network Provisioning, ICIPNP 2024 Spring, held in Beijing, China, during June 14–16, 2024. The 152 revised full papers presented in these proceedings were carefully reviewed and selected from 347 submissions. They focus on topics ranging from 5G/6G evolution and AI in network optimization to quantum communication and green computing.



Sustainability In Digital Transformation Era Driving Innovative Growth


Sustainability In Digital Transformation Era Driving Innovative Growth
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Author : Dr Rajeev Agrawal
language : en
Publisher: CRC Press
Release Date : 2024-08-29

Sustainability In Digital Transformation Era Driving Innovative Growth written by Dr Rajeev Agrawal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Computers categories.


In the past few weeks, OpenAI has released ChatGPT (Chat Generative Pre-trained Transformer). ChatGPT emerges as a formidable chatbot, surpassing various iterations of the GPT model, and plays a transformative role in user interactions with AI systems. In the dynamic realm of AI technologies, influential applications like ChatGPT, developed by OpenAI, mir□ror the transformative consideration of the simplicity on multiple facets of our daily lives. This potent technology holds the potential for significant positive changes, particularly in healthcare where the introduction of GPT and chatbot models opens promising avenues for disease treatment and technological innovation.



Principles And Applications Of Adaptive Artificial Intelligence


Principles And Applications Of Adaptive Artificial Intelligence
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Author : Lv, Zhihan
language : en
Publisher: IGI Global
Release Date : 2024-01-24

Principles And Applications Of Adaptive Artificial Intelligence written by Lv, Zhihan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-24 with Computers categories.


The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence, edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.



Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025


Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025
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Author : Author:1-Amit Ojha, Author:2-Mr. Kumar Pal Singh
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025 written by Author:1-Amit Ojha, Author:2-Mr. Kumar Pal Singh and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


PREFACE In an age where artificial intelligence is no longer a futuristic concept but a fundamental driver of digital transformation, the convergence of AI and platform architecture is redefining how we innovate, interact, and transact. The rise of AI-native digital platforms marks a profound shift in technological design, one that transcends traditional boundaries and paves the way for adaptive, intelligent, and autonomous systems capable of responding to evolving market demands in real time. This book, AI-Native Digital Platforms: Architecting the Next Wave of Commerce and Intelligence, is an exploration of the emerging paradigm in which artificial intelligence is embedded at the very core of digital platform design. It aims to offer a comprehensive framework for understanding how AI reshapes platform architecture—across data pipelines, microservices, edge computing, cloud orchestration, API ecosystems, and user experience personalization. From dynamic supply chains to intelligent customer engagement, AI-native platforms are becoming the backbone of future-ready enterprises. We begin with foundational concepts of digital platforms and AI technologies, then progress through architectural principles, design patterns, case studies, and strategic implementation models. The book addresses key challenges such as ethical AI governance, scalability, interoperability, security, and data sovereignty, all while emphasizing real-world applications across e-commerce, fintech, healthcare, smart cities, and industrial automation. Intending for technology leaders, architects, data scientists, product strategists, and academic researchers, this book bridges the gap between theoretical AI capabilities and practical platform engineering. It reflects a multi-disciplinary perspective shaped by innovations in machine learning, distributed systems, human-centered design, and business intelligence. As AI-native platforms become central to global digital economies, the decisions we make today will influence the societal, ethical, and economic fabric of tomorrow. This book is a guide and a call to action—for building platforms that are not only intelligent but also inclusive, sustainable, and resilient. Authors



Assessing Emotional Intelligence


Assessing Emotional Intelligence
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Author : Con Stough
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-15

Assessing Emotional Intelligence written by Con Stough and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-15 with Psychology categories.


Managing human emotions plays a critical role in everyday functioning. After years of lively debate on the significance and validity of its construct, emotional intelligence (EI) has generated a robust body of theories, research studies, and measures. Assessing Emotional Intelligence: Theory, Research, and Applications strengthens this theoretical and evidence base by addressing the most recent advances and emerging possibilities in EI assessment, research, and applications. This volume demonstrates the study and application of EI across disciplines, ranging from psychometrics and neurobiology to education and industry. Assessing Emotional Intelligence carefully critiques the key measurement issues in EI, and leading experts present EI as eminently practical and thoroughly contemporary as they offer the latest findings on: EI instruments, including the EQ-I, MSCEIT, TEIQue, Genos Emotional Intelligence Inventory, and the Assessing Emotions Scale. The role of EI across clinical disorders. Training professionals and staff to apply EI in the workplace. Relationships between EI and educational outcomes. Uses of EI in sports psychology. The cross-cultural relevance of EI. As the contributors to this volume in the Springer Series on Human Exceptionality make clear, these insights and methods hold rich potential for professionals in such fields as social and personality psychology, industrial and organizational psychology, psychiatry, business, and education.



Artificial Intelligence In Biomedical And Modern Healthcare Informatics


Artificial Intelligence In Biomedical And Modern Healthcare Informatics
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Author : M. A. Ansari
language : en
Publisher: Elsevier
Release Date : 2024-10-03

Artificial Intelligence In Biomedical And Modern Healthcare Informatics written by M. A. Ansari and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Science categories.


Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease.The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications.With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare. - Discusses fundamental and advanced approaches as well as optimization techniques used in AI for healthcare systems - Includes chapters on various established imaging methods as well as emerging methods for skin cancer, brain tumor, epileptic seizures, and kidney diseases - Adopts a bottom-up approach and proposes recent trends in simple manner with the help of real-world examples - Synthesizes the existing international evidence and expert opinions on implementing decommissioning in healthcare - Promotes research in the field of health and hospital management in order to improve the efficiency of healthcare delivery systems