Hemant Kumar Saini (54 results)

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Document from the year 2014 in the subject Computer Science - IT-Security, grade: 1, -, language: English, abstract: Today in the growing era of communication everyone wants to update with the new functionality so that they would survive with the best. Since the only way to access Internet is the browser, so it is vital to configure them securely. With the growing demands to ease the work in one click many engine tools, supportive plug-ins have been developed for web-browser. And the users also without knowing its causes quickly installed such extensible plug-ins in their browsers which gives the chances to intruders to get control their computer without their knowledge. Such plug-ins becomes victim for the vulnerabilities of the computer which are due to the manufacturer coding fault.

Taschenbuch. Condition: Neu. Neuware -Today with the tremendous series of undocumented or poorly documented protocols how an incident responder on the network can can present the packet by capturing a binary executable file. The contents of such files can be parsed by conventional static and dynamic techniques. In many situations one can¿t detect even the binary file for analysis. So a new process of Protocol Reverse Engineering (PRE) leveraging multiple sources of information to accelerate incident response detection. It is a pseudo-formal survey of the tools, techniques, and methodologies that I've experienced or observed to be effective that is deliberately proscriptive, rather than prescriptive. It is not an exhaustive study, and only designed to cover common needs of analysts - particularly engaged in incident response.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

paperback. Condition: New. New. book.

Hardcover. Condition: new. Hardcover. This book is intended for a technical audience with advanced learning and in-depth analysis of the latest real-world developments in the field of quantum computing. The book is focused on modeling emerging drone-based applications. The methods of developing faster drive with the new trending technology of quantum genetic heuristics, artificial intelligence, and machine-based applications are discussed. Researchers will find novel ways to secure the data and Quantum drone networks. The book examines the most promising exploratory quantum-computed drone that optimizes, secures, and dynamically analyses various sectors, including healthcare, the educational industry, finance, transportation, and manufacturing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. pp. 310.

Condition: New.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 750.

Condition: New.

Condition: New. SUPER FAST SHIPPING.

Condition: New. In.

Condition: New. pp. 310 1st edition NO-PA16APR2015-KAP.

Hardcover. Condition: new. Hardcover. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book:Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem.The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book:Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem.The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. pp. 310.

Condition: As New. Unread book in perfect condition.

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Hardcover. Condition: new. Hardcover. This reference text presents industrial and real-case scenarios of the various businesses from the edge points to the interior manufacturing units where the data is smartly generated using the Internet of Things and processed. It further discusses topics such as virtual data security, protocols for next-generation transactions, the framework of Web 4.0, and the Internet of Things in cloud grids and eco-energy.This book:Discusses automatic segregated application of enhancing the sizing of sustainable eco-energy management in cloud gridsCovers intelligent blockchain-based Internet of Things framework for sustainable secure transportation, and resdesign of blockchain with Web 4.0 architectureIllustrates non-fungible token methods for the unique identification with blockchain, and principles of confidentiality in Internet of Things eco-energyExplains the scope of intelligent and secure channels in manufacturing and logistics business sectorsIncludes the practical implications of blockchain paradigms which drive the interoperability features in end-to-end mode that aids in reducing the energy in inter-data-driven businessIt is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communication engineering, computer science and engineering, information technology, and business management. This reference text presents industrial and real-case scenarios of the various businesses from the edge points to the interior manufacturing units where the data is smartly generated using the Internet of Things and processed. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New.

Condition: New.

Condition: New.

Condition: New. SUPER FAST SHIPPING.

Hardcover. Condition: new. Hardcover. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book:Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem.The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: Brand New. 336 pages. 9.18x6.12x9.21 inches. In Stock.

Condition: New.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer s, Parkinson s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.

Hardcover. Condition: new. Hardcover. This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimers, Parkinsons, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation. mso-bidi-language: AR-SA;">This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.