The application of artificial intelligence technology to 5G wireless communications is now appropriate to address the design of optimized physical layers, complicated decision-making, network management, and resource optimization tasks within networks. In exploring 5G wireless technologies and communication systems, artificial intelligence is a powerful tool and a research topic with numerous potential fields of application that require further study. Applications of Artificial Intelligence in Wireless Communication Systems explores the applications of artificial intelligence for the optimization of wireless communication systems, including channel models, channel state estimation, beamforming, codebook design, signal processing, and more. Covering key topics such as neural networks, deep learning, and wireless systems, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Did you know the power of crypto can redefine and change your life forever?

Have you heard of Altseason?

Bitcoin has reached a dizzying all-timed high, but Altcoin can be beven more insane.

Simply put, the altseason is the short term of altcoin season. The altcoin refers to any other cryptocurrency except for Bitcoin. The altseason is like Christmas in the crypto space and provides you with the best chance to make super substantial gains by either investing or trading in altcoins.

Crypto Spider, who has no background in trading or finance, has gained renown and made millions with altcoins in just over a few months thanks to the "$2k to $1M" challenge. As Crypto Spider put, "You will not ever see this kind of explosive growth if you don't trade in altcoins."

However, when you check the crypto ecosystem, you will find there are already over 10,000 kinds of altcoins on the market. Most of the information available is indecipherable. How can you trade or invest in altcoins efficiently and safely? How can you avoid those costly mistakes that most beginners and even those experienced investors make?

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How to do fundamental analysis & technical analysis for

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Altcoin Initial Coin Offering (ICO)

How to earn steady and passive income from Altcoin

cloud mining;

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Advances in Computers, Volume 124 presents updates on innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on Traffic-Load-Aware Virtual Channel Power-gating in Network-on-Chips, An Efficient DVS Scheme for On-chip Networks, A Power-Performance Balanced Network-on-Chip for Mixed CPU-GPU Systems, Routerless Networks-on-Chip, Routing Algorithm Design for Power- and Temperature-Aware NoCs, Approximate Communication for Energy-Efficient Network-on-Chip, Power-Efficient NoC Design by Partial Topology Reconfiguration, The Design of a Deflection-based Energy-efficient On-chip Network, and Power-Gating in Networks-on-Chip.

The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors' firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians. Connected vehicles will soon become a reality on our roads, bringing along new services and capabilities, but also technical challenges and security threats. To overcome these risks, the CARAMEL project has developed several anti-hacking solutions for the new generation of vehicles. CARAMEL (Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles), a research project co-funded by the European Union under the Horizon 2020 framework programme, is a project consortium with 15 organizations from 8 European countries together with 3 Korean partners. The project applies a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This approach has been addressed based on four fundamental pillars, namely: Autonomous Mobility, Connected Mobility, Electromobility, and Remote Control Vehicle. This book presents theory and results from each of these technical directions.

#1 Amazon.com Book of the Year8 * #1 TIME magazine Novel of the Year * GoodReads Winner for Best Fiction * APPLE Book of the Year * The 2022 book that everyone should read' PANDORA SYKES * This is not a romance, but it is about love. 'One of the best books I've ever read' JOHN GREEN Sam and Sadie meet in a hospital in 1987. Sadie is visiting her sister, Sam is recovering from a car crash. The days and months are long there, but playing together brings joy, escape, fierce competition -- and a special friendship. Then all too soon that time is over, and they must return to their normal lives. When the pair spot each other eight years later in a crowded train station, they are catapulted back to that moment. The spark is immediate, and together they get to work on what they love - creating virtual worlds to delight, challenge and immerse, finding an intimacy in the digital realm that eludes them in their real lives. Their collaborations make them superstars. This is the story of the perfect worlds Sadie and Sam build, the imperfect world they live in, and of everything that comes after success: Money. Fame. Duplicity. Tragedy. Tomorrow, and Tomorrow, and Tomorrow takes us on a dazzling imaginative quest, examining identity, creativity and our need to connect. 'A book that spawns great conversations' MAGGIE SHIPSTEAD, Guardian 'A must-read' NEIL DRUCKMANN, creator of The Last of Us 'Brilliant' KAREN JOY FOWLER, Guardian

Nowadays, Virtual Reality (VR) is commonly used in various applications including entertainment, education and training, manufacturing, medical and rehabilitation. VR not only provides immersive stereoscopic visualization of virtual environments and the visualization effect and computer graphics are critical to enhancing the engagement of participants and thus increases education and training effectiveness. Nevertheless, constructing realistic 3D models and scenarios for a specific application of VR simulation is not an easy task. There are many different tools for 3D modelling such as ZBrush, Blender, SketchUp, AutoCAD, SolidWorks, 3Ds Max, Maya, Rhino3D, CATIA, and more. Many of the modelling tools are very professional and used for manufacturing and product design application. The advanced features and functions may not be applicable to different levels of users and various specialization. This book explores the application of virtual reality in healthcare settings. This includes 3D modelling techniques, texturing, assigning material, and more. It allows for not only modelling and rendering techniques, but modelling, dressing, and animation in healthcare applications. The potential market of readers, including those from the engineering disciplines such as computer sciences/ computer engineering, product designers, and more. Other potential readers are those studying nursing and medicine, healthcare workers, and anyone interested in the development of VR applications for industry use. In addition, this is suitable for readers from other industries that may need to apply virtual reality in their field.

Want to learn the basics of swing trading? Have you been losing and would love to get some simple tips and tricks that will steer you to the winning side?

If you are like most of us and desire financial freedom as well as an extra income, then you need to know about swing trading.

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You identify a suitable stock market asset, determine the best time to buy through analysis, then sell it once the price goes up and make a profit.

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This book provides you with all the information that you need to get started.

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You will also learn how the stock market works and how to enter and exit trades and how to maximize profitability.

This book is perfect for those who have little time, little experience in this business, explains swing trading in simple and understandable words for beginners.

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The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives. Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.

Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware - to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.

In recent years, falsification and digital modification of video clips, images, as well as textual contents have become widespread and numerous, especially when deepfake technologies are adopted in many sources. Due to adopted deepfake techniques, a lot of content currently cannot be recognized from its original sources. As a result, the field of study previously devoted to general multimedia forensics has been revived. The Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications discusses the recent techniques and applications of illustration, generation, and detection of deepfake content in multimedia. It introduces the techniques and gives an overview of deepfake applications, types of deepfakes, the algorithms and applications used in deepfakes, recent challenges and problems, and practical applications to identify, generate, and detect deepfakes. Covering topics such as anomaly detection, intrusion detection, and security enhancement, this major reference work is a comprehensive resource for cyber security specialists, government officials, law enforcement, business leaders, students and faculty of higher education, librarians, researchers, and academicians.

Quantum computing is radically different from the conventional approach of transforming bits strings from one set of 0's and 1's to another. With quantum computing, everything changes. The physics that we use to understand bits of information and the devices that manipulate them are totally different. The way in which we build such devices is different, requiring new materials, new design rules and new processor architectures. Finally, the way we program these systems is entirely different. Quantum engineering is a revolutionary approach to quantum technology. It encompasses both fundamental physics and the broad engineering skill-set necessary to meet the practical challenges of the future. The proposed book will cover the high-quality reviewed book chapters on original research & innovations and compelling insights in Quantum Computing and Engineering. Data scientists, Engineers, Industry, researchers and students working in the field of quantum computing and its allied research will benefit greatly from this publication.