Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
English | 2023 | ISBN: 3031196031 | 352 Pages | PDF EPUB (True) | 31 MB
This book presents scientific results of the 23rd ACIS International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer) which was held on July 4-6, 2022, at Kyoto City, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications, and tools) of computer and information science and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.

Power and Prediction: the Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, Avi Goldfarb
English | November 15th, 2022 | ISBN: 1647824192 | 288 pages | True EPUB | 5.68 MB
Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare.

Steland A Artificial Intelligence, Big Data and Data Science in Statistics 2022 | 11 MB
English | 378 Pages

Title: Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
Author: Nick Singh
Year: 2021

Artificial Neural Networks and Structural Equation Modeling: Marketing and Consumer Research Applications
English | 2022 | ISBN: 9811965080 | 350 Pages | PDF EPUB (True) | 7 MB
This book goes into a detailed investigation of adapting artificial neural network (ANN) and structural equation modeling (SEM) techniques in marketing and consumer research. The aim of using a dual-stage SEM and ANN approach is to obtain linear and non-compensated relationships because the ANN method captures non-compensated relationships based on the black box technology of artificial intelligence. Hence, the ANN approach validates the results of the SEM method. In addition, such the novel emerging approach increases the validity of the prediction by determining the importance of the variables. Consequently, the number of studies using SEM-ANN has increased, but the different types of study cases that show customization of different processes in ANNs method combination with SEM are still unknown, and this aspect will be affecting to the generation results. Thus, there is a need for further investigation in marketing and consumer research. This book bridges the significant gap in this research area.

Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges (Studies on the Semantic Web) By I, I. (editor)
2020 | 312 Pages | ISBN: 1643680803 | PDF | 12 MB
The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.

Rosdiazli Ibrahim, "International Conference on Artificial Intelligence for Smart Community: AISC 2020, 17-18 December, Universiti Teknologi"
English | ISBN: 9811621829 | 2022 | 1098 pages | PDF | 33 MB
This conference proceeding gather a selection of peer-reviewed papers presented at the 1st International Conference on Artificial Intelligence for Smart Community (AISC 2020), held as a virtual conference on 17-18 December 2020, with the theme Re-imagining Artificial Intelligence (AI) for Smart Community to apply computational intelligence for biomedical instruments, automation & control, and smart community to develop suitable solution for various real-world application. The conference virtually brought together researchers, scientists, engineers, industrial professionals, and students presenting important results in the related field of healthcare technology, soft computing technologies, IoT, evolutionary computations, automation and control, smart manufacturing and smart cities. Researchers and scientist working in the allied domain of Artificial Intelligence and others will find the book useful as it will contain some latest computational intelligence methodologies and applications.

Artificial Intelligence A Guide for Thinking Humans by Melanie Mitchell | 21.4 MB
English | 338 Pages

Title: Artificial Intelligence
Author: Melanie Mitchell
Year: 2019

Deep Medicine How Artificial Intelligence Can Make Healthcare Human Again by Eric Topol | 13.77 MB
English | 400 str. Pages

Title: Deep Medicine
Author: Eric Topol
Year: 2019

Human Compatible Artificial Intelligence and the Problem of Control by Stuart Russell | 9.72 MB
English | 349 Pages

Title: Human Compatible
Author: Stuart Russell
Year: 2019

English | 2023 | ISBN: 1032210281 | 334 pages | True EPUB | 30.1 MB
This book comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features • Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care • Discusses major issues in the field of the IoT such as scalable and secure issues, energy-efficient, and actuator devices • Highlights the importance of industrial and medical IoT • Illustrates applications of the internet of things in robotics, smart grid, and smart cities • Presents real-time examples for better understanding. The text comprehensively discusses design principles, modernization techniques, and advanced developments in artificial intelligence. This will be helpful for senior undergraduates, graduate students, and academic researchers in diverse engineering fields including electrical, electronics and communication, and computer science.