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Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation
by Dusit Niyato Ekram Hossain Dinh Thai Hoang Nguyen Van Huynh Diep N. NguyenDeep Reinforcement Learning for Wireless Communications and Networking Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design. Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as: Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association Network layer applications, covering traffic routing, network classification, and network slicing With comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.
Deep Reinforcement Learning for Wireless Networks (SpringerBriefs in Electrical and Computer Engineering)
by Ying He F. Richard YuThis Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.
Deep Reinforcement Learning with Guaranteed Performance: A Lyapunov-Based Approach (Studies in Systems, Decision and Control #265)
by Shuai Li Yinyan Zhang Xuefeng ZhouThis book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding theoretical analysis and simulative examples, and presents two innovative methods for the redundancy resolution of redundant manipulators with consideration of parameter uncertainty and periodic disturbances.It also reports on a series of systematic investigations on a near-optimal adaptive control method based on the Taylor expansion, neural networks, estimator design approaches, and the idea of sliding mode control, focusing on the tracking control problem of nonlinear systems under different scenarios. The book culminates with a presentation of two new redundancy resolution methods; one addresses adaptive kinematic control of redundant manipulators, and the other centers on the effect of periodic input disturbance on redundancy resolution.Each self-contained chapter is clearly written, making the book accessible to graduate students as well as academic and industrial researchers in the fields of adaptive and optimal control, robotics, and dynamic neural networks.
Deep Reinforcement Learning: Fundamentals, Research and Applications
by Hao Dong Zihan Ding Shanghang ZhangDeep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailed explanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.
Deep Rock Mechanics: Proceedings of the International Conference on Geo-Mechanics, Geo-Energy and Geo-Resources (IC3G 2018), September 21-24, 2018, Chengdu, P.R. China
by Heping Xie Jian Zhao Pathegama Gamage RanjithAt present, deep earth resources remain poorly understood and entirely under-utilised. There is a growing appreciation of the important role deep earth will play in future sustainability, particularly in opportunities for new and sustainable large-scale energy alternatives, and extraction of resources through mining and greenhouse mitigation. Deep Rock Mechanics: From Research to Engineering is a collection of papers on the effective development of deep earth resources, which were presented at the International Conference on Geo-mechanics, Geo-Energy and Geo-Resources 2018 (Chengdu, P.R. China, 22-24 September 2018). The contributions aim at breaking beyond existing patterns of discovery, to advance research on geomechanical and geophysical processes in deep earth resources and energy development, enhancing deep earth energy and mineral extraction and mitigating harmful atmospheric emissions.Deep Rock Mechanics: From Research to Engineering covers a wide range of topics:1. Deep rock mechanics and mining theory2. Water resources development and protection3. Unconventional oil and gas extractions4. CO2 sequestrations technologies and nuclear waste disposal5. Geothermal energy6. Mining engineering7. Petroleum engineering8. Geo-environmental engineering9. Civil geotechnical engineeringDeep Rock Mechanics: From Research to Engineering promotes safer and greener ways for energy and resource production at great depth, and will serve as a must-have reference for academics and professionals involved or interested in geo-mechanics, geo-energy, and geo-resources.
Deep Sciences for Computing and Communications: First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers (Communications in Computer and Information Science #1719)
by Utku Kose Ali Kashif Bashir Kottilingam Kottursamy Annie UthraThis book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022.The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge.
Deep Sciences for Computing and Communications: Second International Conference, IconDeepCom 2023, Chennai, India, April 20–22, 2023, Proceedings, Part I (Communications in Computer and Information Science #2176)
by Utku Kose Ali Kashif Bashir Kottilingam Kottursamy Annie Uthra R. Gunasekaran Raja Revathi Appavoo Vimaladevi MadhivananThis two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Applications of Block chain for Digital Landscape; Deep Learning approaches for Multipotent Application; Machine Learning Techniques for Intelligent Applications; Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications. Part II: Optimized Wireless Sensor Network Protocols; Cryptography Applications for Enhanced Security; Implications of Networking on Society; Deep Learning Model for Health informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models.
Deep Sciences for Computing and Communications: Second International Conference, IconDeepCom 2023, Chennai, India, April 20–22, 2023, Proceedings, Part II (Communications in Computer and Information Science #2177)
by Utku Kose Ali Kashif Bashir Kottilingam Kottursamy Annie Uthra R. Gunasekaran Raja Revathi Appavoo Vimaladevi MadhivananThis two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Applications of Block chain for Digital Landscape; Deep Learning approaches for Multipotent Application; Machine Learning Techniques for Intelligent Applications; Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications. Part II: Optimized Wireless Sensor Network Protocols; Cryptography Applications for Enhanced Security; Implications of Networking on Society; Deep Learning Model for Health informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models.
Deep Space Communications
by Jim TaylorA collection of some of the Jet Propulsion Laboratory's space missions selected to represent the planetary communications designs for a progression of various types of missions The text uses a case study approach to show the communications link performance resulting from the planetary communications design developed by the Jet Propulsion Laboratory (JPL). This is accomplished through the description of the design and performance of six representative planetary missions. These six cases illustrate progression through time of the communications system's capabilities and performance from 1970s technology to the most recent missions. The six missions discussed in this book span the Voyager for fly-bys in the 1970s, Galileo for orbiters in the 1980s, Deep Space 1 for the 1990s, Mars Reconnaissance Orbiter (MRO) for planetary orbiters, Mars Exploration Rover (MER) for planetary rovers in the 2000s, and the MSL rover in the 2010s. Deep Space Communications: Provides an overview of the Deep Space Network and its capabilities Examines case studies to illustrate the progression of system design and performance from mission to mission and provides a broad overview of the missions systems described Discusses actual flight mission telecom performance of each system Deep Space Communications serves as a reference for scientists and engineers interested in communications systems for deep-space telecommunications link analysis and design control. Jim Taylor is a principal engineer at JPL, working on telecommunications analysis, ground-system implementation, and flight operations for deep-space and Earth-orbiting projects. He was the founding telecommunications member of JPL's Spaceflight Significant Events Group, now called Lessons Learned. He received the NASA Exceptional Achievement Medal in 2000 for innovative use of the DS1 communications systems and the NASA Exceptional Service Medal in 2006 for operational development and support on Deep Impact.
Deep Space Propulsion
by K. F. LongThe technology of the next few decades could possibly allow us to explore with robotic probes the closest stars outside our Solar System, and maybe even observe some of the recently discovered planets circling these stars. This book looks at the reasons for exploring our stellar neighbors and at the technologies we are developing to build space probes that can traverse the enormous distances between the stars. In order to reach the nearest stars, we must first develop a propulsion technology that would take our robotic probes there in a reasonable time. Such propulsion technology has radically different requirements from conventional chemical rockets, because of the enormous distances that must be crossed. Surprisingly, many propulsion schemes for interstellar travel have been suggested and await only practical engineering solutions and the political will to make them a reality. This is a result of the tremendous advances in astrophysics that have been made in recent decades and the perseverance and imagination of tenacious theoretical physicists. This book explores these different propulsion schemes - all based on current physics - and the challenges they present to physicists, engineers, and space exploration entrepreneurs. This book will be helpful to anyone who really wants to understand the principles behind and likely future course of interstellar travel and who wants to recognizes the distinctions between pure fantasy (such as Star Trek's 'warp drive') and methods that are grounded in real physics and offer practical technological solutions for exploring the stars in the decades to come.
Deep State
by Walter Jon WilliamsBy day Dagmar Shaw orchestrates vast games with millions of players spanning continents. By night, she tries to forget the sound of a city collapsing in flames around her. She tries to forget the faces of her friends as they died in front of her. She tries to forget the blood on her own hands. But then an old friend approaches Dagmar with a project. The project he pitches is so insane and so ambitious, she can't possibly say no. But this new venture will lead her from the world of alternate-reality gaming to one even more complex. A world in which the players are soldiers and spies and the name of the game is survival.
Deep Strike: A Novel (Trident Deception Series #6)
by Rick CampbellIn Rick Campbell's next action-packed thriller Deep Strike, the U.S. Atlantic fleet is in a race to stop a rogue Russian submarine—funded by ISIS—en route to launch a missile attack against the east coast of the U.S.A shoulder-launched missile attack on a convoy of vehicles leaving the U.N. headquarters in New York kills several diplomats, including the American ambassador. Security footage reveals that the killer behind the attack is a disgraced former special forces operative, Mark Alperi. But before U.S. intelligence operatives can catch up with him, Alperi is already onto the next phase of his plan.With funding from the nearly shattered ISIS, Alperi plans an attack on the U.S. that will be more devastating than 9/11. He bribes a desperate Russian submarine commander with access to an expensive experimental drug for his daughter who is suffering from a rare disease. In exchange, the Russian commander will take his submarine to the Atlantic Ocean and launch a salvo of missiles at various targets along the East Coast of the United States. The commander lies to his crew that it's a secret mission, with dummy missiles, for a training exercise. At the same time, unbeknownst to the commander, Alperi has arranged for four of the missile warheads to be replaced with four surplus nuclear warheads and arms them. When the Russian submarine sinks the U.S. sub that is tracking it, the U.S. military is alarmed. When Intelligence uncovers Alperi's plot, though, it becomes a race against time—find the Russian sub and sink it before it can launch a devastating nuclear attack.
Deep Swarm and Evolution for Generative Artificial Intelligence
by Hitoshi IbaThis book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the “emergence” concept can contribute to the improvement of AI.The book aims to model human cognitive f unction in terms of “emergence” and to explain the feasibility of AI. To this end, it focuses on human perceptions of “utility.” It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs. Such studies are important when applying LLMs to real-world tasks that involve human cognition, e.g., financial engineering and market issues.The book describes the intelligent behaviour of living organisms. This is to clarify how to achieve AI in the direction of artificial life. It describes sexual selection, which is a well-known natural phenomenon that troubled Darwin, i.e., why evolutionarily useless items evolved such as peacock feathers and moose antlers etc. The book shows how sexual selection is extended as “novelty search” for the application of generative AI, i.e., the image generation with diffusion model. Real-world applications are emphasised. Empirical examples from real-world data show how the concept of deep swarm and evolution is successfully applied when addressing tasks from such recent fields as robotics, e-commerce Web Shop and image generation etc.
Deep Time Reckoning: How Future Thinking Can Help Earth Now (One Planet)
by Vincent IalentiA guide to long-term thinking: how to envision the far future of Earth.We live on a planet careening toward environmental collapse that will be largely brought about by our own actions. And yet we struggle to grasp the scale of the crisis, barely able to imagine the effects of climate change just ten years from now, let alone the multi-millennial timescales of Earth's past and future life span. In this book, Vincent Ialenti offers a guide for envisioning the planet's far future--to become, as he terms it, more skilled deep time reckoners. The challenge, he says, is to learn to inhabit a longer now.
Deep Ultraviolet LEDs: Understanding the Low External Quantum Efficiency (SpringerBriefs in Applied Sciences and Technology)
by Zi-Hui Zhang Chunshuang Chu Kangkai Tian Yonghui ZhangThis book highlights the origin of low external quantum efficiency for deep ultraviolet light-emitting diodes (DUV LEDs). In addition, it puts forward solutions for increasing the internal quantum efficiency and the light extraction efficiency of DUV LEDs. The book chiefly concentrates on approaches that can be used to improve the crystalline quality, increase carrier injection, reduce the polarization-induced electric field within multiple quantum wells, suppress the TM polarization emission, and enhance the light escape from the semiconductor layer. It also demonstrates insightful device physics for DUV LEDs, which will greatly benefit the optoelectronic community.
Deep time: How Humanity Communicates Across Millennia
by Gregory BenfordHumanity's attempts to communicate with itself across ages and to communicate with other spieces across space
Deep web: La parte oscura y peligrosa de internet
by Pablo AllegrittiHace tiempo que el mundo digital llegó para quedarse y ser parte esencial de nuestras vidas, siendo Internet, la red de redes, el lugar desde donde se controlarán, hacia el futuro, casi todas nuestras acciones materiales. <P><P> Para una enorme mayoría de los seres humanos, Internet es solo aquel sector en el que navegan diariamente. Muchos no saben que esa parte es solo la punta de un iceberg comunicacional en el cual su mole sumergida multiplica muchas veces la red de acceso natural. Este sector es el llamado Deep Web (Internet Profunda) que contiene a su vez a la DarkNet (la Red Oscura), organizada en varios círculos, cada vez más profundos y con mayor dificultad de acceso, y donde solo se puede navegar con motores especiales de búsqueda. En ella se libran luchas planetarias de todo tipo entre imperios, terroristas y rebeldes, comercios ilegales, sórdidos vídeos y se replican amenazas constantes hacia la seguridad y el bienestar de la gente. <P> Entender esta parte de la existencia que se ha instalado entre nosotros es de capital importancia para proteger nuestras vidas. Nadie puede quedar al margen de estos conocimientos. La amenaza de Internet Profunda está entre nosotros y nos involucra a todos. Solo conociéndola en sus más recónditos espacios nos podrá prevenir, única manera de salvarnos de los peligros que encierra. Si usted quiere iniciar un viaje a las profundidades de la red, Deep Web es un libro imprescindible
Deep-Buried Large Hydrocarbon Fields Onshore China: Formation and Distribution
by Suyun Hu Tongshan WangThis book analyzes the formation and evolution of the giant hydrocarbon reservoirs based on major basins onshore China. It discusses exploration and research advantages of major basins in China, such as Sichuan, Tarim, and Ordos Basins and also systematically analyzes and summarizes the formation conditions, distribution rules, and main controlling factors of deep oil and gas fields. On this basis, it forecasts the exploration prospect of China's onshore deep oil and gas, providing theoretical guidance and technical support for deep oil and gas exploration breakthrough and large-scale reserves growth. This book focuses on the analysis and discussion of hydrocarbon generation mechanism of deep-paleo source rocks, discusses the accumulation rules of cross-structural reservoir formation and oil-gas enrichment in ancient strata, the combination of gypsum-salt rocks and carbonate rocks, the potential of oil and gas accumulation under salt, the main controlling factors and distribution rules of deep oil and gas fields, and preliminarily grasps the geological understanding of the formation and distribution of deep-large oil and gas fields, namely ①abundant hydrocarbon supplied by two types of source kitchens, ②three large-scale lithologic reservoir rocks, ③hydrocarbon accumulation controlled by three paleoes (paleouplift, paleoplatform margin, and paleofaults), and ④reservoir formation across major tectonic periods. The book serves as a guidance for both researchers and students majoring in petroleum geology and other related fields.
Deep-Level Gold and Platinum Mining: The Application of Geophysics in South Africa
by Michael van Schoor Zamaswazi Nkosi Fleckson Magweregwede Thabang KgarumeThis book provides the basic know-how and guidance to effectively exploit non-destructive geophysical technologies and apply them in the underground mining environment to optimise mineral extraction and to contribute to safer mining. The effective application of these technologies can enable a better understanding of the unseen orebody and the surrounding rock mass ahead of the mining face; the potential benefits of applying in-mine geophysics is demonstrated through a selection of case studies conducted in deep-level hard rock mines in South Africa. This book also offers valuable insight and training material for students in a variety of relevant mining disciplines like geology, rock engineering, mining engineering, mine planning and mineral resource management.
Deep-Rooted Wisdom: Skills and Stories from Generations of Gardeners
by Augustus Jenkins FarmerWe have begun to lose some of the most important skills used by everyday gardeners to create beautiful, productive gardens. With a personality-driven, engaging narrative, Deep Rooted Wisdom teaches accessible, commonsense skills to a new generation of gardeners. Soulful gardener, Augustus Jenkins Farmer, profiles experienced and up-and-coming gardeners who use these skills in their own gardens. Enjoy this chance to get planting, propagation, and fertilizing knowledge handed down directly from the experts in the field.
Deep-Sea Mining and the Water Column: Advances, Monitoring and Related Issues
by Rahul SharmaThis book focuses on general issues of deep-sea mining for seafloor mineral deposits, as well as the scientific, technical, legal and policy issues related to impacts on the water column. The topic is a growing area of significance due to the ongoing conversations on this issue in the world community, in view of the large-scale consequences resulting from operations of different components of deep-sea mining systems. The chapters are divided in five sections, and are contributed by highly acclaimed scientists, technologists, lawyers and administrators who have decades of experience working on these topics. The information compiled in the book is expected to serve as an important reference for all stakeholders including researchers, contractors, mining companies, regulators and NGOs involved in deep-sea mining and marine environmental conservation. Section 1 provides an overall view of the current status of deep-sea mining and issues related to the water column. Section 2 looks at the engineering considerations for technology related to mining, handling of bulk solids in the marine environment, transporting the ores from seabed to shore as well as processing of deep-sea minerals. Section 3 discusses various approaches for assessment of impacts of deep-sea mining on the water column. Section 4 assesses the chemical, physical and biological characteristics of the water column in different oceans of the world. Finally, section 5 deals with legal, policy and economic aspects of deep-sea mining.
Deep-Sea Mining: Resource Potential, Technical and Environmental Considerations
by Rahul SharmaThis comprehensive book contains contributions from specialists who provide a complete status update along with outstanding issues encompassing different topics related to deep-sea mining. Interest in exploration and exploitation of deep-sea minerals is seeing a revival due to diminishing grades and increasing costs of processing of terrestrial minerals as well as availability of several strategic metals in seabed mineral resources; it therefore becomes imperative to take stock of various issues related to deep-sea mining. The authors are experienced scientists and engineers from around the globe developing advanced technologies for mining and metallurgical extraction as well as performing deep sea exploration for several decades. They invite readers to learn about the resource potential of different deep-sea minerals, design considerations and development of mining systems, and the potential environmental impacts of mining in international waters.
Deep-sea Fishing (Cool Adventure Careers)
by William David ThomasThe first group of titles in an ongoing series introduces students to six amazing adventure careers. Geared for reluctant readers in upper elementary school and above, each high-interest title combines easy-to-follow text with engaging on-the-job photos to spark students' interest in reading and career exploration. Each book is filled with descriptive information about the career, along with the skills and requirements needed to pursue a job in the profiled field.
DeepAesthetics: Computational Experience in a Time of Machine Learning (Thought in the Act)
by Anna MunsterComputation has now been reconfigured by machine learning: those technical processes and operations that yoke together statistics and computer science to create artificial intelligence (AI) by furnishing vast datasets to learn tasks and predict outcomes. In DeepAesthetics, Anna Munster examines the range of more-than-human experiences this transformation has engendered and considers how those experiences can be qualitative as well as quantitative. Drawing on process philosophy, Munster approaches computational experience through its relations and operations. She combines deep learning—the subfield of machine learning that uses neural network architectures—and aesthetics to offer a way to understand the insensible and frequently imperceptible forms of nonlinear and continuously modulating statistical function. Attending to the domains and operations of image production, statistical racialization, AI conversational agents, and critical AI art, Munster analyzes how machine learning is operationally entangled with racialized, neurotypical, and cognitivist modes of producing knowledge and experience. She approaches machine learning as events through which a different sensibility registers, one in which AI is populated by oddness, disjunctions, and surprises, and where artful engagement with machine learning fosters indeterminate futures.
DeepFakes: Creation, Detection, and Impact
by Loveleen GaurDeepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth. Provides a technical introduction to DeepFakes, its benefits, and the potential harms Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications Discusses future research directions with emergence of DeepFakes technology This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.