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Дариуш Емельняк

Брандт Легг

Гарвард Бизнесс Ревью

Мохамед Абдель-Бассет

Скотт Бурк

Оскар Кастильо

Патриция Мелин

Йон-Арильд Йоханнесен

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Lecture Notes in Computer Science

SpringerBriefs in Applied Sciences and Technology

Chapman & Hall/CRC Artificial Intelligence and Robotics Series

AI for Everything

Communications in Computer and Information Science

Lecture Notes in Networks and Systems

Synthesis Lectures on Artificial Intelligence and Machine Learning

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Synthesis Lectures on Human Language Technologies

Chapman & Hall/CRC Data Science Series

Chase Malone Thriller

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Smart Innovation, Systems and Technologies

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Sybex Study Guide

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Internet of Everything IoE

Analytics and AI for Healthcare

Advances in Metaheuristics

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Wireless Networks

Computational Intelligence Techniques

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Innovations in Big Data and Machine Learning

Advances in Computational Collective Intelligence

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The Morgan Kaufmann Series in Artificial Intelligence

Springer Theses

Lecture Notes in Intelligent Transportation and Infrastructure

Chapman & Hall/CRC Computational Intelligence and Its Applications

What Every Engineer Should Know

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Future Generation Information Systems

Explainable AI XAI for Engineering Applications

HBR Insights Series

Natural Computing Series

What Everyone Needs To Know®

Studies in Computational Intelligence

Elgar Advanced Introductions series

Cognitive Technologies

Undergraduate Topics in Computer Science

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Springer Series in Statistics

Synthesis Lectures on Games and Computational Intelligence

Signals and Communication Technology

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Systems Innovation Book Series

Chapman & Hall/CRC Machine Learning & Pattern Recognition

AK Peters Visualization Series

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Artificial Intelligence in Smart Healthcare Systems

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Edge AI in Future Computing

Big Data for Industry 4.0

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Machine Learning: Foundations, Methodologies, and Applications

Perspectives in Formal Induction, Revision and Evolution

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Taylor and Francis Proceedings in Computer Science and Engineering

HBR's 10 Must Reads

Für Dummies

Management for Professionals

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Future of Business and Finance

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Synthesis Lectures on Computer Science

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Data, Semantics and Cloud Computing

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Automation and Control Engineering

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Elements in Generative AI in Education

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Tech Today

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Graphic Science: Max Axiom and the Society of Super Scientists

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Human Factors in Design, Engineering, and Computing

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Springer Handbooks

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Exploring with LOGO

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Relational Economics and Organization Governance

Reintroducing...

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Medical Imaging in Practice

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The Human Element in Smart and Intelligent Systems

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Elsevier Series in Electromagnetism

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River Publishers Series in Digital Security and Forensics

Smart Cities

Routledge Research in the Sociology of Education

Emerging Topics in Computer Science and Applied Computing

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Palgrave Studies in Teaching and Learning Chinese

Chapman & Hall/CRC Blockchain for Smart and Green Society

The Little Black Books

Digital Privacy and Security

Sterling Illustrated Histories

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10 Things You Should Know

Lecture Notes on Numerical Methods in Engineering and Sciences

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AI for Risks

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Elements in Evolutionary Economics

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Elements in the Problems of God

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European Health Management in Transition

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Organizational Response to Climate Change: Businesses, Governments

Elements in Construction Grammar

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What Do We Know and What Should We Do About:

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AI Advantage

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Union Square & Co. Illustrated Histories

SVA Masters in Branding

Assessment of Educational Technology

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AI Essentials for Leaders

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Intelligent Systems Reference Library

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Enhancing Reflective Teaching in Higher Education

Psychoanalysis, Technology, and the Future

Challenges and Advances in Computational Chemistry and Physics

Pearson AI Signature Series

Business Innovation Strategies, Governance and Sustainability

Digital Sovereignty and Human-Centric AI

Emerging Trends in Science, Innovation and Business

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Technology for Smart Environments and Sustainable Futures

Intelligent Systems of Computing and Informatics

New Methodologies of Research for PhD and Beyond

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