Advances in Intelligent Networking and Collaborative Systems: The 9th International Conference on Intelligent Networking and Collaborative Systems (In

Książki

Sklep: KrainaKsiazek.pl

Collaborative Intelligent Educational Systems

Książki Obcojęzyczne>Angielskie>Computing & information technology>Business applications

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Sklep: Gigant.pl

Recommender Systems Springer International Publishing AG

Książki / Literatura obcojęzyczna

This§book comprehensively covers the topic of recommender systems, which provide§personalized recommendations of products or services to users based on their§previous searches or purchases. Recommender system methods have been adapted to§diverse applications including query log mining, social networking, news§recommendations, and computational advertising. This book synthesizes both§fundamental and advanced topics of a research area that has now reached§maturity. The chapters of this book are organized into three categories:§§- Algorithms and evaluation: These§chapters discuss the fundamental algorithms in recommender systems, including§collaborative filtering methods, content-based methods, knowledge-based§methods, ensemble-based methods, and evaluation.§§- Recommendations in specific domains and contexts: the context of a recommendation§can be viewed as important side information that affects the recommendation§goals. Different types of context such as temporal data, spatial data, social§data, tagging data, and trustworthiness are explored.§§- Advanced topics and applications:§Various robustness aspects of recommender systems, such as shilling§systems, attack models, and their defenses are discussed.§§In§addition, recent topics, such as learning to rank, multi-armed bandits, group§systems, multi-criteria systems, and active learning systems, are introduced§together with applications.§§Although this book primarily serves as a§textbook, it will also appeal to industrial practitioners and researchers due§to its focus on applications and references. Numerous examples and exercises§have been provided, and a solution manual is available for instructors.

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6G Enabled Fog Computing in IoT Springer, Berlin

Książki / Literatura obcojęzyczna

Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow's communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications.  The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network.This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed edited book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.

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Big Data Analytics for Sensor-Network Collected Intelligence Elsevier Science Publishing Co Inc

Książki / Literatura obcojęzyczna

Collecting sensory data about people and the environment is now achievable using the latest advances of sensor and networking technologies such as environmental sensors, wearable sensors and social networks, but the challenge is properly utilizing such huge amounts of data. Big Data Analytics for Sensor Network Collected Intelligence addresses this concern by exploring the state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, examine people

Sklep: Libristo.pl