The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

This book gathers outstanding research papers presented at the International Joint Conference on Computational Intelligence (IJCCI 2019), held at the University of Liberal Arts Bangladesh (ULAB), Dhaka, on 25–26 October 2019 and jointly organized by the University of Liberal Arts Bangladesh (ULAB), Bangladesh; Jahangirnagar University (JU), Bangladesh; and South Asian University (SAU), India. These proceedings present novel contributions in the areas of computational intelligence, and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

This book provides a comprehensive perspective over the landscape of super-resolution techniques developed for and applied to remotely-sensed images. The chapters tackle the most important problems that professionals face when dealing with super-resolution in the context of remote sensing. These are: evaluation procedures to assess the super-resolution quality; benchmark datasets (simulated and real-life); super-resolution for specific data modalities (e.g., panchromatic, multispectral, and hyperspectral images); single-image super-resolution, including generative adversarial networks; multi-image fusion (temporal and/or spectral); real-world super-resolution; and task-driven super-resolution. The book presents the results of several recent surveys on super-resolution specifically for the remote sensing community.

This book gathers selected papers from the 13th International Conference on Green Intelligent Transportation Systems and Safety, held in Qinghuadao, China, on September 16-18, 2022. It presents cutting-edge studies on Green Intelligent Mobility Systems, with the guiding motto being to achieve "green, intelligent, and safe transportation systems". The book presented here helps promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility, and efficiency. Given its scope, the book benefits researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike. Readers will be able to learn about the advances in green intelligent transportation systems and safety.

This book, through its various chapters presenting recent advances in Modern Artificial Intelligence and Data Science as well as their applications, aims to set up lasting and real applications necessary for both academics and professionals.

Sustainable agricultural systems are crucial for ensuring food security, conserving natural resources and mitigating climate change. Innovations in this field play a crucial role in improving agricultural practices to make them more environmentally friendly, economically viable and socially responsible. By implementing the innovative approaches and technologies, sustainable agricultural systems can help address the challenges facing agriculture in the 21st century and build a more resilient and sustainable food system for the future. This multidisciplinary book focuses on the best practices in a range of areas, such as: I. Intelligent agricultural techniques, tools and systems; II. Sustainability in veterinary practice; III. Economic, ecological and social systems for human development; IV. Sustainable development of agricultural production. This book is a truly interdisciplinary publication, useful to scholars, social movements, practitioners and members of governmental agencies and private companies.

This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simulate the behavior of the cognitive functions of the brain is presented. This model focuses on the study of intelligent hybrid neural systems and their use in time series analysis and decision support systems. Therefore, through the development of eight case studies, multiple time series related to the following problems are analyzed: traffic accidents, air quality and multiple global indicators (energy consumption, birth rate, mortality rate, population growth, inflation, unemployment, sustainable development, and quality of life). The main contribution consists of a Generalized Type-2 fuzzy integration of multiple indicators (time series) using both supervised and unsupervised neural networks and a set of Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. The obtained results show the advantages of the proposed model of Generalized Type-2 fuzzy integration of multiple time series attributes. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic techniques for solving problems in classification and prediction. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.

This book publishes the reviewed and revised texts of the papers delivered at the Eleventh International Conference on Design Computing – DCC’24 held at Concordia University in Montreal, Canada. These papers span the range of design research from artificial intelligence, cognitive science, cognitive neuroscience to computational theories applies to design.

The intelligent diagnosis and maintenance of the machine mainly includes condition monitoring, fault diagnosis, performance degradation assessment and remaining useful life prediction, which plays an important role in protecting people's lives and property. In actual engineering scenarios, machine users always hope to use an automatic method to shorten the maintenance cycle and improve the accuracy of fault diagnosis and prognosis. In the past decade, Artificial Intelligence applications have flourished in many different fields, which also provide powerful tools for intelligent diagnosis and maintenance.

The book is devoted to exploring the organizational dimensions of the general space of problem-solution dualities within epistemic fields to examine the diversity and unity of knowing and information-knowledge production in science and non-science and how to account for and explain the forces of variety transformations, as induced by decision-choice actions in creating the functor space and the space of categorial converters as well as to integrate decision-choice qualities of curiosity, creativity, hope, despair, success, failure, and their relationships with epistemic anomalies in the production of intellectual investment flows and capital stocks, and the rise and fall of institutions in response to the dynamics of the open space of problem-solution dualities with open algorithms under the principle of non-satiation.

This book showcases an endeavor to delve into the fusion of artificial intelligence (AI) and the Internet of Things (IoT) within the healthcare domain. The healthcare sector is currently experiencing a shift fueled by technological advancements and a heightened focus on providing tailored, efficient and impactful care to individuals. AI and IoT have emerged as facilitators of this evolution presenting opportunities to elevate patient results streamline operations and enhance decision-making within healthcare environments.

The book includes original unpublished contributions presented in First International Conference on Recent Advances in Artificial Intelligence and Smart Applications (RAAISA 2023), organized by Department of CSE, University of Engineering and Management, Kolkata, India during 14 – 15 December 2023. The topics covered are progression of artificial intelligence techniques like smart agent-based systems, human-computer interaction technologies, reinforcement learning, sentiment analysis, recurrent neural networks and its applications, genetic algorithm, and neural networks.

This book presents the advances in the concept, model, method, and tools for the global supply chain management. The conference took place in Marrakesh from May 2 to May 4, 2024. The 7th edition of this conference focused on Smart Sustainable and Green Logistics. The papers included in the book's proceedings cover various themes, such as:

This book delves into the intersection of Knowledge Management (KM) and Artificial Intelligence (AI). It explores their applications, challenges, and opportunities across various industries and regions. The approach is comprehensive, drawing insights from experts worldwide.
The book offers fresh perspectives on using KM and AI as powerful tools for driving business success. It covers research opportunities, real-world case studies, and empirical investigations. Notably, it emphasizes the unique context of knowledge management in the southern hemisphere.