This book comprises select proceedings of the International Conference on Advances in Electrical and Computer Technologies 2020 (ICAECT 2020). The papers presented in this book are peer-reviewed and cover latest research in electrical, electronics, communication and computer eng…
This book investigates the architectures and characteristics of OUSNs, the mobility models of OUSN nodes, the challenges of message dissemination, and some evaluation indexes of message dissemination. Then, this book provides some message dissemination techniques in OUSNs from t…
This book investigates the architectures and characteristics of OUSNs, the mobility models of OUSN nodes, the challenges of message dissemination, and some evaluation indexes of message dissemination. Then, this book provides some message dissemination techniques in OUSNs from t…
This book covers wide areas, including the fundamentals of Machine Learning, Understanding and optimizing Hyperparameters, Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN). --
"Though an analysis of five objects that have shaped the history of computer graphics, this book explores what historical technologies shaped and limited the development of simulated images"--
"Though an analysis of five objects that have shaped the history of computer graphics, this book explores what historical technologies shaped and limited the development of simulated images"--
"Though an analysis of five objects that have shaped the history of computer graphics, this book explores what historical technologies shaped and limited the development of simulated images"--
This book studies the link between differential beamforming and differential equations which in turn enables the study of fundamental theory and methods of beamforming from a different perspective, leading to new insights into the problem and new methods to solve the problem. Th…
This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noi…
This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noi…
Machine Learning-Based Virus Type Classification Using Transmission Electron Microscopy Virus Images / Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Chittaranjan Mallick -- Capsule Networks for Character Recognition in Low Resource Languages / C Abeysinghe, I Perera…
This book systematically summarizes China Internet development over the past 25 years, highlighting its strong impact on China's economy and society, and discussing the Chinese people's transition from beneficiaries and participants to builders, contributors and joint maintainer…
This book systematically summarizes China Internet development over the past 25 years, highlighting its strong impact on China's economy and society, and discussing the Chinese people's transition from beneficiaries and participants to builders, contributors and joint maintainer…
This book systematically summarizes China Internet development over the past 25 years, highlighting its strong impact on China's economy and society, and discussing the Chinese people's transition from beneficiaries and participants to builders, contributors and joint maintainer…
