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Electronic Systems and Intelligent Computing
This book presents selected, high-quality research papers from the International Conference on Electronic Systems and Intelligent Computing (ESIC 2020), held at NIT Yupia, Arunachal Pradesh, India, on 2 – 4 March 2020. Discussing the latest challenges and solutions in the field of smart computing, cyber-physical systems and intelligent technologies, it includes papers based on original theoretical, practical and experimental simulations, developments, applications, measurements, and testing. The applications and solutions featured provide valuable reference material for future product development.
Advances in Information Communication Technology and Computing
The book is a collection of best selected research papers presented at the International Conference on Advances in Information Communication Technology and Computing (AICTC 2021), held in Government Engineering College Bikaner, Bikaner, India, during 20–21 December 2021. The book covers ICT-based approaches in the areas of ICT for energy efficiency, life cycle assessment of ICT, green IT, green information systems, environmental informatics, energy informatics, sustainable HCI or Artificial intelli computational sustainability.
Advanced Machine Intelligence and Signal Processing
This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Compu...
Pattern Recognition and Data Analysis with Applications
This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computatio...
Arunachal News
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The Advancing Apatanis of Arunachal Pradesh
Life and culture of Apatanis, indigenous tribe of Arunachal Pradesh.
Neural Network Methods for Natural Language Processing
Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Chichewa for English Speakers
This brand new Chichewa (Chinyanja) Grammar will help you master the heart language of Malawi and significant parts of the populations of Zambia, Mozambique and other Central African countries. Chichewa for English Speakers is written in a simple, easy-to-read style and takes you from the basics of pronunciation on into the noun class system and verb tenses.
Language in Zambia
Originally published in 1978, this volume is divided into 3 parts. Part 1 presents an overview of the linguistic situation in Zambia: who speaks which languages, where they are spoken, what these languages are like. Special emphasis is given to the extensive survey of the languages of the Kafue basin, where extensive changes and relocations have taken place. Part 2 is on language use: patterns of competence and of extension for certain languages in urban settings, configurations of comprehension across language boundaries, how selected groups of multilinguals employ each of their languages and for what purposes, what languages are used in radio and television broadcasting and how decisions to use or not use a language are made. Part 3 involves language and formal education: what languages, Zambian and foreign, are used at various levels int he schools, which are taught, with what curricula, methods, how teachers are trained, how issues such as adult literacy are approached and with what success.
