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This book presents a groundbreaking compilation of cutting-edge research at the forefront of innovation, where artificial intelligence, machine learning, and advanced technologies converge to address real-world challenges with realistic solutions. This comprehensive book bridges theory and practice, offering transformative insights across diverse domains—from healthcare and cybersecurity to smart cities and language processing. Dive into pioneering advancements in Technology such as Arabic text-to-gloss machine translation, transformer-based image captioning, and GAN-enhanced privacy policies for constrained environments. Learn how deep learning revolutionizes cancer detection in medical i...
S-Cube’s Foundations for the Internet of Services Today’s Internet is standing at a crossroads. The Internet has evolved from a source of information to a critical infrastructure which underpins our lives and economies. The demand for more multimedia content, more interconnected devices, more users, a richer user experience, services available any time and anywhere increases the pressure on existing networks and service platforms. The Internet needs a fundamental rearrangement to be ready to meet future needs. One of the areas of research for the Future Internet is the Internet of S- vices, a vision of the Internet where everything (e. g. , information, software, platforms and infrastruc...
This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.
This book constitutes refereed proceedings of the 14th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 43 full papers and 15 short papers were thoroughly reviewed and selected from 421 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; natural language processing; deep learning; computational intelligence for multimedia understanding; computational intelligence in medical applications; applications for industry 4.0; experience enhanced intelligence to IoT and sensors; cooperative strategies for decision making and optimization; machine learning methods.
This book presents the papers included in the proceedings of the 2nd International Conference of Advanced Computing and Informatics (ICACIn’21) that was held in Casablanca, Morocco, on May 24–25, 2021. The main theme of the book is “Advances on Smart and Soft Computing.” A total of 71 papers were submitted to the conference, but only 44 papers were accepted and published in this book. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT), information security, cloud computing, networking and computational informatics.
This dynamic survey comprehensively examines numerous generalized set-theoretic frameworks designed to model and capture real-world uncertainty, which frequently involves vagueness, partial truth, and incomplete information. The work traces the evolution of these mathematical concepts, starting with classical models like Fuzzy Sets and Intuitionistic Fuzzy Sets. The survey then extends to more sophisticated and recent models, including Neutrosophic Sets, Plithogenic Sets, and Extensional Sets. Additionally, it covers related concepts such as Vague Sets, Hesitant Fuzzy Sets, Picture Fuzzy Sets, and Quadripartitioned Neutrosophic Sets. The aim is to provide a unified and up-to-date analysis of these diverse theories, highlighting their foundational principles and their capacity for rigorous mathematical modeling of complex uncertainty in various scientific domains.
Includes abstracts of papers of various symposia.
This book contains contemporary research that outlines and addresses security, privacy challenges and decision-making in IoT environments. The authors provide a variety of subjects related to the following Keywords: IoT, security, AI, deep learning, federated learning, intrusion detection systems, and distributed computing paradigms. This book also offers a collection of the most up-to-date research, providing a complete overview of security and privacy-preserving in IoT environments. It introduces new approaches based on machine learning that tackles security challenges and provides the field with new research material that’s not covered in the primary literature. The Internet of Things (...