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Mobile Computing, 2E
Mobile Computing technology addresses challenges that enable the realization of the global village concept where people can seamlessly access any information from anywhere through any device, while stationary or even at a state of mobility. This book covers all the communication technologies starting from First Generation to Third Generation cellular technology, wireless LAN(WiFi), and wireless broadband(WiMax). It covers intelligent networks (IN) and emerging technologies like mobile IP, IPv6, and VoIP (Voice over IP). Written by a professional who has worked on several technologies, the book is replete with illustrations, examples, programs, interesting asides and much more! A storehouse o...
Convergence Through All-IP Networks
The convergence of two powerful technologies—wireless and the Internet—through IPv4/v6 protocol has led to emergence of next-generation networks (NGNs). NGN is no more a network of mere computers but a connected conglomeration of varied networks with diverse physical properties, with a plethora of network elements, along with a variety of real-time multimedia applications. This book covers the entire gamut of technology challenges from physical layer to application layer including security from both academic and industrial perspectives.
Mobile Computing
The user in a mobile computing environment is able to access data from any device in a network while on the move, spread across wired and wireless media. The technology to deliver on this promise now exists, and is one of the key drivers for growth across the telecommunications industry. This book provides a detailed survery of the technologies delivering true mobile computing – on both the service creation and device fronts. This book guides communications professionals and students through the complex web of acronyms, standards that wireless data runs on. It also details hot button security issues and new emerging technologies.
Systems Biology in Animal Production and Health, Vol. 1
This two-volume work provides an overview on various state of the art experimental and statistical methods, modeling approaches and software tools that are available to generate, integrate and analyze multi-omics datasets in order to detect biomarkers, genetic markers and potential causal genes for improved animal production and health. The book will contain online resources where additional data and programs can be accessed. Some chapters also come with computer programming codes and example datasets to provide readers hands-on (computer) exercises. This first volume presents the basic principles and concepts of systems biology with theoretical foundations including genetic, co-expression and metabolic networks. It will introduce to multi omics components of systems biology from genomics, through transcriptomics, proteomics to metabolomics. In addition it will highlight statistical methods and (bioinformatic) tools available to model and analyse these data sets along with phenotypes in animal production and health. This book is suitable for both students and teachers in animal sciences and veterinary medicine as well as to researchers in this discipline.
Knowledge Mining Using Intelligent Agents
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.
Big Data Analytics
This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.
Big Data Analytics
This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.
Intelligent Computing and Information and Communication
The volume presents high quality research papers presented at Second International Conference on Information and Communication Technology for Intelligent Systems (ICICC 2017). The conference was held during 2–4 August 2017, Pune, India and organized communally by Dr. Vishwanath Karad MIT World Peace University, Pune, India at MIT College of Engineering, Pune and supported by All India Council for Technical Education (AICTE) and Council of Scientific and Industrial Research (CSIR). The volume contains research papers focused on ICT for intelligent computation, communications and audio, and video data processing.
Big Data Analytics
This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022. The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical sections: Big Data Analytics: Vision and Perspectives; Data Science: Architectures; Data Science: Applications; Graph Analytics; Pattern Mining; Predictive Analytics in Agriculture.
IEEE TENCON 2003
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