Nagendra Singh – författare

An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties.Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering.Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies.Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation

An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties.Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering.Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies.Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation

The text highlights the designing of efficient, wearable, and textile antennas for medical and wireless applications. It further discusses antenna design for the Internet of Things, biomedical, and 5G applications. The book presents machine learning and deep learning techniques for antenna design and analysis. It also covers radio frequency, micro-electromechanical systems, and nanoelectromechanical systems devices for smart antenna design.This book:Explores wearable reconfigurable antennas for wireless communication and provide the latest technique in term of its structure, defective ground plane, and fractal designFocuses on current and future technologies related to antenna design, and channel characterization for different communication links, and applicationsDiscusses machine learning techniques for antenna design and analysisDemonstrates how nano patch antenna resonates at multiple frequencies by varying the chemical potentialCovers the latest antenna technology for microwave sensors, and for fiber optical sensor communicationsIt is primarily for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering.

The text highlights the designing of efficient, wearable, and textile antennas for medical and wireless applications. It further discusses antenna design for the Internet of Things, biomedical, and 5G applications. The book presents machine learning and deep learning techniques for antenna design and analysis. It also covers radio frequency, micro-electromechanical systems, and nanoelectromechanical systems devices for smart antenna design.This book:Explores wearable reconfigurable antennas for wireless communication and provide the latest technique in term of its structure, defective ground plane, and fractal designFocuses on current and future technologies related to antenna design, and channel characterization for different communication links, and applicationsDiscusses machine learning techniques for antenna design and analysisDemonstrates how nano patch antenna resonates at multiple frequencies by varying the chemical potentialCovers the latest antenna technology for microwave sensors, and for fiber optical sensor communicationsIt is primarily for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering.

Power System Management demonstrates the effectiveness of emerging technologies in electrical systems compared to traditional operational systems. It showcases different operations of the electrical systems, presents the output results based on the latest techniques, and compares the results with classical methods.Highlights how to implement the modern automation system in the electrical transmission, and distribution systemsDiscusses the integration of distributed energy resources at both medium voltage (MV) and low voltage (LV) levels with modern automation systemsShowcases the problems associated with the AC transmission system and the required automation control systemCovers application of smart technologies including deep learning and artificial intelligence in fault detection, and grid optimizationPresents real-time monitoring and control of power system devices using the Internet of Things systems, and artificial intelligence-operated robotics system used for control of electrical distribution systemThe text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer science, and engineering.

This book explores the transformative potential of blockchain technology and shows how blockchain can promote equitable access to resources and bridge societal gaps. It examines blockchain's role in enhancing transparency, security, and decentralisation across various sectors and in society. The book addresses both the advancements and challenges of blockchain, providing practical use cases to understand the opportunities, limitations, and innovative applications of blockchain, envisioning a future where this technology drives significant societal change.Showcases practical use cases in healthcare, finance, governance, supply chain management, and humanitarian aidCovers decentralized finance (DeFi), financial inclusion, asset tokenization, and impact investingInvestigates blockchain's role in environmental conservation, charitable donations, and ethical considerationsExamines scalability, interoperability, security, and regulatory concerns and discusses self-sovereign identity and personal information control through blockchainOffers insights for policymakers on creating a conducive environment for blockchain while safeguarding public interestsThis is a reference for scholars and practitioners interested about the impact of blockchain.

This book comprehensively reviews structure, optimization strategies, and function of natural and synthetic peptides. The initial section presents foundational aspects of therapeutic peptides, examining the potential of bioactive peptides derived from natural sources, it provides insights into the structure-function relationship of therapeutic peptides. The book also covers the de novo design, synthesis, modification, and mechanistic evaluation of therapeutic peptides, along with the generation and screening of peptide libraries for cell binding peptides. The second section focuses on the practical applications of therapeutic peptides in combating cancer cells and their application in treating neurological disorders using natural and synthetic neuropeptides. The potential of peptides in addressing metabolic disorders and their role in cardiovascular diseases through natriuretic peptides are also covered. The final section addresses the regulatory and safety aspects critical to the pharmaceutical development of therapeutic peptides. It covers quality specifications, regulatory considerations, and future prospects for therapeutic peptides. The toxicity of biologically active peptides and safety aspects are also discussed. This book is invaluable source for researchers and students of pharmaceutical sciences, biotechnology, and biomedical sciences.Key features:· Reviews the structure, optimization strategies, and functions of both natural and synthetic peptides.· Explores de novo design, synthesis, modification, and mechanistic evaluation of therapeutic peptides.· Discusses the generation and screening of peptide libraries for cell-binding peptides.· Covers conventional and advanced peptide-based targeted delivery systems.· Examines the practical applications of therapeutic peptides in various diseases.· Presents regulatory considerations, quality specifications, and toxicity of therapeutic peptides.

Technical depth and ethical frameworks for AI visual media synthesis Generative AI models for visual media are transforming virtual reality and biomedical imaging while raising urgent questions about deepfakes and misinformation. AI-Generated Image and Video Synthesis addresses both dimensions. A team of researchers provide algorithmic foundations alongside detection strategies, authentication methods, and regulatory analysis. Coverage spans text-to-image generation, image-to-image translation, video synthesis, neural rendering, and 3D-aware generation. The book examines AI applications in CT, MRI synthetic data augmentation, and virtual staining for biomedical contexts. Case studies explore AI-assisted filmmaking, music videos, and style transfer. A dedicated chapter forecasts emerging trends including diffusion-transformer hybrids and autonomous generative agents. Readers will also find: Comparative analyses of generative models including GANs, diffusion models, and transformers with implementation guidance and code repositories for hands-on experimentationDeepfake detection strategies and digital content authentication techniques addressing misinformation, intellectual property rights, and emerging regulatory frameworks worldwideIndustry case studies demonstrating real-world deployments in creative industries, surveillance systems, education, and cultural preservation applicationsBiomedical imaging applications covering synthetic data generation for CT and MRI, virtual staining techniques, and data augmentation strategiesPractical toolkits and online resources supporting implementation and evaluation of AI synthesis techniques across professional and academic contextsDesigned for AI researchers, computer vision engineers, and graduate students studying deep learning and image processing, this book connects theoretical principles with practical deployment. The combination of technical depth, application coverage, and ethical analysis makes it a comprehensive resource for professionals navigating AI-generated visual media.