Prashant Kumar Verma (104 results)

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Hardcover. Condition: New. 1st Edition. Since emergence of the recent economic and financial crisis, the world over, explanatory power of social sciences and their methods of analysis are being questioned more vigourously. Even the validity of water tight compartmentalisation of social science into various disciplines is being questioned. Consensus appears to be emerging that political economy approach to teaching and research may be encouraged where in interaction of economic, political and social processes are not lost sight of while analysing various social issues. The task is challenging as traditional mode of analysis in various disciplines which assumes that the factors assigned to the domains of other disciplines remaining unchanged, how dominant factors which constitute a discipline will interact and to subject those outcomes to empirical verification. This mode of thinking and research need to be replaced by dialectical method whereby interaction of economic, political and social factors is taken into consideration in formulation of various research questions and attempting possible explanations. This volume seeks to encourage such an approach to social analysis. It examines various emerging issues in the society in the era of globalization. This volume has been arranged in four sections: State, Market, Industry and Globalization; Rural Society and Agrarian Change; Participatory Democracy and Governance; and Gender, Development and Disparities. It is expected that issues raised and approach to the analysis will benefit scholars to comprehend social reality with a new perspective and approach. It will help policy makers to look at more realistic conclusions for policy making.…

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Paperback. Condition: Brand New. 388 pages. 8.50x5.43x8.50 inches. In Stock.

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Paperback. Condition: New. The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.This book:Discusses the embedded system software and hardware methodologies for system-on-chip and FPGAIllustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware designHighlights the integration of advanced 5G communication technologies with embedded systemsExplains weather prediction modeling, embedded machine learning, and RTOSHighlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologiesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.…

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Paperback. Condition: Brand New. 344 pages. 6.14x0.75x9.21 inches. In Stock.

Condition: New. Adesh Kumar is a Professor with the Department of Electrical &amp Electronics, Engineering, School of Advanced Engineering, UPES, Dehradun, India. He earned a BTech in electronics and communication engineering from Uttar Pradesh Technic.

Condition: very good. edition 2021. Le livre peut montrer des signes d'usure dus a une utilisation constante, etre marque, porter des marques d'identification ou presenter plusieurs dommages esthetiques mineurs. vendeur professionnel; envoi soigne en 24/48h.

Taschenbuch. Condition: Neu. Neuware - The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.This book: - Discusses the embedded system software and hardware methodologies for system-on-chip and FPGA - Illustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware design - Highlights the integration of advanced 5G communication technologies with embedded systems - Explains weather prediction modeling, embedded machine learning, and RTOS - Highlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologies It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.…

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Paperback. Condition: New. The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.This book:Discusses the embedded system software and hardware methodologies for system-on-chip and FPGAIllustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware designHighlights the integration of advanced 5G communication technologies with embedded systemsExplains weather prediction modeling, embedded machine learning, and RTOSHighlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologiesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.…

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