Adesh Kumar – författare

Fungal Biodeterioration and Biodegradation: Insights into Fungal Behaviour, Mechanisms, and Applications offers a comprehensive, interdisciplinary overview of fungi’s dual roles in environmental processes and material deterioration. Fungi are Earth's main recyclers, capable of breaking down complex substances like lignin, plastics, and pollutants. However, they also cause biodeterioration of food, artworks, textiles, and infrastructure, posing challenges across industries and conservation efforts. This book bridges molecular mechanisms with practical applications, providing researchers, conservators, and industry professionals with essential knowledge on how fungi interact with materials, pollutants, and microbial communities. It covers foundational topics such as fungal biology, enzymatic pathways, and colonization processes. The volume explores fungi’s role in degrading natural and synthetic polymers, petroleum products, and environmental contaminants, supported by case studies on cultural heritage preservation, bioremediation, and industrial waste management. Cutting-edge omics, enzyme engineering, and scalable biotech solutions are highlighted, along with future directions in fungal biotechnology and genetic engineering.Fungal Biodeterioration and Biodegradation equips professionals with scientific insights and practical strategies to harness fungi’s power for environmental cleanup, sustainable industry practices, and cultural conservation.

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.

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.

CLEAN and RENEWABLE ENERGY PRODUCTIONAccording to the World Renewable Energy Council (WREC), by the year 2100, the world's population will increase to 12 billion and the worldwide energy demand will increase steeply to about five times the present scenario. Researchers are striving to find alternative forms of energy, and this quest is strongly forced by the increasing worry over climate change and planetary heating. Among the diverse varieties of alternative energy sources, biomass has the singular advantage of being carbon neutral. The carbon that is discharged to the atmosphere during its exercise is read back during the utilization of biomass resources for energy output. Currently, biomass provides approximately 13% of the world's primary energy supply and more than 75% of global renewable energy. Indeed, it is estimated that bioenergy could contribute 25–33% of the global energy supply by 2050. Continued adoption of biomass will require efficient conversion rates and avoidance of competition with food and fibers.This book focuses on the recent practices in clean energy and renewable energy. The contributors highlight how newer technologies are reducing the dependency on non-renewable resources, benefiting the researchers who are working in the area of clean and renewable energy production. This new volume will also benefit mechanical engineers, electrical engineers, and bioengineers as they will be updated with the recent work progressing all over the globe. It will benefit the professionals working in the renewable energy sector such as solar, wind, hydrothermal, hydrogen, and bioenergy, including professors, research scholars, industry professionals, and students working in this field.

Digital Twins and ESG provides essential insight on how integrating cutting-edge Digital Twin technology with ESG practices can transform the understanding of sustainability and propel businesses towards a more transparent, accountable, and responsible future. Digital Twins and ESG introduces the dynamic world of ESG practices, emphasizing the pivotal role technology plays in shaping and advancing sustainability goals. It introduces readers to the multifaceted world of Digital Twin technology, offering a comprehensive understanding of its historical development and diverse applications across industries. This volume will intricately examine the integration of Digital Twins in ESG metrics and reporting frameworks. Artificial intelligence, machine learning, and blockchain technologies are also discussed as key enablers for achieving ESG goals, providing readers with a glimpse into the potential advancements and breakthroughs that lie ahead. Through detailed analyses and case studies, readers will gain insights into how Digital Twins enhance data collection, monitoring, and reporting, elevating transparency and accountability. Digital Twins and ESG serves as a rallying call, urging businesses to embrace Digital Twins as an integral component of their ESG strategies, ultimately paving the way for a more sustainable and responsible future.

The book focuses on the integration of intelligent communication systems, control systems, and devices related to all aspects of engineering and sciences. It includes high-quality research papers from the 3rd international conference, ICICCD 2018, organized by the Department of Electronics, Instrumentation and Control Engineering at the University of Petroleum and Energy Studies, Dehradun on 21–22 December 2018. Covering a range of recent advances in intelligent communication, intelligent control and intelligent devices., the book presents original research and findings as well as researchers’ and industrial practitioners’ practical development experiences of.