Автор: Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya Название: Big Data Security ISBN: 3110605880 ISBN-13(EAN): 9783110605884 Издательство: Walter de Gruyter Цена: 123910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.
Автор: Bhattacharyya Dev Название: Cause Divine: Brahma Sutra, Veda and Early Vedanta ISBN: 1497422221 ISBN-13(EAN): 9781497422223 Издательство: Неизвестно Цена: 11490.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kalyan B Bhattacharyya Название: Pocket Dictionary Neurology Defined: Eponyms in Neurosciences ISBN: 9352709977 ISBN-13(EAN): 9789352709977 Издательство: JayPee Brothers India Рейтинг: Цена: 15890.00 T Наличие на складе: Нет в наличии. Описание: Klezmer Tunes for Clarinet• Traditional Klezmer tunes• Notes on performance and style• Complete with play-along CDRudolf Mauz presents a wide-ranging collection of Klezmer tunes and Jewish melodies for clarinet. The collection features pieces for clarinet and keyboard accompaniment, as well as a selection of clarinet duets including well-known traditional pieces and original numbers by Rudolf Mauz. The music has been carefully edited to create stylistic, authentic arrangements. The volume is accompanied by a CD with demonstration recordings of all tunes as well as play-along versions. Besetzung:clarinet and piano
Автор: Forkert, Kirsten Bhattacharyya, Gargi Oliveri, Federico Graham, Janna Название: How media and conflicts make migrants ISBN: 1526138115 ISBN-13(EAN): 9781526138118 Издательство: NBN International Рейтинг: Цена: 110350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Based on interviews and workshops with refugees in both countries, the book develops the concept of "migrantification" - in which people are made into migrants by the state, the media and members of society. -- .
Автор: Bhattacharyya Uday Название: Dada Thakurer Kobita (দাদা ঠাকুরের কবিতা) ISBN: 1714587576 ISBN-13(EAN): 9781714587575 Издательство: Неизвестно Рейтинг: Цена: 9190.00 T Наличие на складе: Невозможна поставка. Описание: "Dada Thakurer Kobita" A Collection of Bengali Humorous Parody of Dada Thakur (Sarat Chandra Pandit) Edited and Compiled by Uday Bhattacharyya, "দাদা ঠাকুরের কবিতা", দাদা ঠাকুরের লেখা হেঁয়ালী, হাস্য কৌতুক, প্যারডি গান / ছড়া / কবিতার সংকলন। সম্পাদনা উদয় ভট্টাচার্য ।
Автор: Forkert Kirsten, Bhattacharyya Gargi, Oliveri Federico Название: How Media and Conflicts Make Migrants: How Media and Conflicts Make Migrants ISBN: 1526138131 ISBN-13(EAN): 9781526138132 Издательство: NBN International Рейтинг: Цена: 19790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Based on interviews and workshops with refugees in both countries, the book develops the concept of "migrantification" - in which people are made into migrants by the state, the media and members of society. -- .
Автор: Surekha Borra, Nilanjan Dey, Siddhartha Bhattacharyya, Mohamed Salim Bouhlel Название: Intelligent Decision Support Systems: Applications in Signal Processing ISBN: 3110618680 ISBN-13(EAN): 9783110618686 Издательство: Walter de Gruyter Цена: 161100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Intelligent prediction and decision support systems? are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and ?include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).
Автор: Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy Название: Deep Learning: Research and Applications ISBN: 3110670798 ISBN-13(EAN): 9783110670790 Издательство: Walter de Gruyter Цена: 136310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will focus on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it would provide an insight of deep neural networks in action with illustrative coding examples. Moreover, the book will also provide video demonstrations on each chapter. Deep learning is a new area of machine learning research, which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non immediately related fields, for example between air pressure recordings and english words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g., classification) and/or unsupervised (e.g., pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition. The unique features of this book include: • tutorials on deep learning framework with focus on tensor flow, keras etc. • video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. • a score of worked out examples on real life applications. • illustrative diagrams • coding examples
Автор: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti Название: Quantum Machine Learning ISBN: 311067064X ISBN-13(EAN): 9783110670646 Издательство: Walter de Gruyter Цена: 136310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples
Автор: Siddhartha Bhattacharyya, Indrajit Pan, Abhijit Da Название: Intelligent Multimedia Data Analysis ISBN: 3110550318 ISBN-13(EAN): 9783110550313 Издательство: Walter de Gruyter Цена: 123910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.
Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy Название: Machine Learning Applications: Emerging Trends ISBN: 3110608537 ISBN-13(EAN): 9783110608533 Издательство: Walter de Gruyter Цена: 123910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
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