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"Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images"--

Machine learning. --- Artificial intelligence. --- Neural networks (Computer science) --- Generative programming (Computer science) --- Computer programming --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Learning, Machine --- Design and construction.

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"In recent years, drones have been integrated with the Internet of Things to offer a variety of exciting new applications in different sectors. This volume provides a detailed exploration of adapting and implementing Internet of Drones (IoD) technologies into real-world applications, with the emphasis on solutions to architectural challenges, providing a clear overview of standardization and regulation, implementation plans, and privacy concerns. The Internet of Drones : AI Applications for Smart Solutions discusses the architectures and protocols for drone communications, implementing and deploying of 5G-drone setups, security issues with drone technology, deep learning techniques applied on real-time footage, and more. It also explores some of the varied applications of IoD, such as for use in monitoring and analysis of troposphere pollutants, providing services and communications in smart cities (such as for weather forecasting, healthcare, communications, transport, agriculture, safety and protection, environmental reduction, service delivery, and e-disposal), for disaster relief management (such as for scanning the affected areas for radiation intensity in cases of nuclear disaster, gathering the location of hotspots, looking for the victims, assessing damage), and more. The authors cover package delivery, movement of traffic, crop monitoring, and mass detection. The problems and challenges associated with IoD in air traffic monitoring, communication between drones, optimum route discovery, and security are also addressed. This detailed exploration of adapting and implementing IoD technologies into real-world applications in this volume will be valuable for graduate students in computer science and especially drone technology, as well as researchers and professionals"--

Internet of things. --- Drone aircraft. --- Cooperating objects (Computer systems)

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Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens. The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: Physical layer design considerations that underpin smart city infrastructureEnabling technologies for intelligent systems within the context of smart computing environmentsSmart sensors and actuators, their applications, challenges, and future trends in IoE-based smart citiesApplications, enabling technologies, challenges, and future trends of IoE for smart cities.The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiencesmachine learning-based intrusion detection techniques for countering attacks on the Internet of VehiclesSmartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystemsIoT, blockchain, and cloud-based technology for secure frameworks and data analyticsBlockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence IoT, intelligent systems and urban studies into smart city planning and design. Audience Researchers, professionals, and students interested in the convergence of IoT, intelligent systems and urban studies into smart city planning and design.

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Telecommunication technology --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics

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"This book explores opportunities and challenges in the field of IoE security and privacy under the umbrella of distributed ledger technologies and blockchain technology including distributed consensus mechanisms, crypto-sensors, encryption algorithms, and fault tolerance mechanisms for devices and systems. It focusses on the applicability of blockchain technology including architectures and platforms for blockchain and IoE, authentication and encryption algorithms for IoE, malicious transactions detection, blockchain for forensics and so forth. This book is aimed at researchers and graduate students in computing, cryptography, IoT, computer engineering, and networks"--

Blockchains (Databases) --- Internet --- Internet of things. --- Security measures.