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Results 1051-1060 of 1529 (Search time: 0.119 seconds).
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  • Sách/Book


  • Authors: Girardina, Charles R (2024)

  • Many-Sorted Algebras for Deep Learning and Quantum Technology presents a precise and rigorous description of basic concepts in Quantum technologies and how they relate to Deep Learning and Quantum Theory. Current merging of Quantum Theory and Deep Learning techniques provides a need for a text that can give readers insight into the algebraic underpinnings of these disciplines. Although analytical, topological, probabilistic, as well as geometrical concepts are employed in many of these areas, algebra exhibits the principal thread.

  • Sách/Book


  • Authors: - (2022)

  • Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing.

  • Sách/Book


  • Authors: Massou, Luc (2024)

  • Analyzing Websites presents epistemological and methodological contributions from researchers in Information and Communication Sciences exploring websites as sociotechnical, semi-discursive and communicational devices. This study covers website design as well as their integration into the digital strategies of organizations in the public, associative and private sectors.

  • Sách/Book


  • Authors: - (2023)

  • Covering a broad range of topics in wireless communication security and its solutions, this outstanding new volume is of great interest to engineers, scientists, and students from a variety of backgrounds and interests. Focusing on providing the theory of wireless communication within the framework of its practical applications.

  • Sách/Book


  • Authors: Fortino, Andres (2023)

  • "Data mining is a recent development in the area of data analysis (within the last 20 years). With many recent advances in data science, we now have many more tools and techniques available for data analysts to extract information from data sets. This book helps data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Data mining is a sophisticated and organized activity with a well-defined process encoded in the CRISP-DM standard. In this book, we develop an understanding of the tools and techniques to assist the individual data analyst, but not necessarily a data science team

  • Sách/Book


  • Authors: Chinnathambi, Kirupa (2024)

  • Absolute Beginner's Guide to Algorithms is a hands-on, easy-to-comprehend guide that is perfect for anyone who needs to understand algorithms. This is an introduction to algorithms that is friendly enough for both beginners and experienced programmers. Many programmers avoid learning data structures and algorithms because it's complicated and they think that they will not use it in their day-to-day life. However, they soon learn that algorithms are tools of developing programming-solving skill and coding sense, and that they would greatly benefit from the knowledge. All of the topics in this book include working JavaScript implementations and tangible code to be used as a reference"-

  • Sách/Book


  • Authors: Bannour, Fetia (2022)

  • This book reviews the concept of Software-Defined Networking (SDN) by studying the SDN architecture. It provides a detailed analysis of state-of-the-art distributed SDN controller platforms by assessing their advantages and drawbacks and classifying them in novel ways according to various criteria. Additionally, a thorough examination of the major challenges of existing distributed SDN controllers is provided along with insights into emerging and future trends in that area.

  • Sách/Book


  • Authors: Hughes, Chris (2023)

  • Discover the new cybersecurity landscape of the interconnected software supply chain In Software Transparency: Supply Chain Security in an Era of a Software-Driven Society, a team of veteran information security professionals delivers an expert treatment of software supply chain security. In the book, you'll explore real-world examples and guidance on how to defend your own organization against internal and external attacks

  • Sách/Book


  • Authors: Hurley, William (2024)

  • With a Dummies guide by your side, you'll get a primer on the inner workings and practical applications of quantum computers. Learn the difference binary and quantum computers ; Discover which industries will be most influenced by quantum computing ; See how quantum improves encryption and enables business ; Take a look at how quantum is applied in big data and AI ; For technologists and IT pros interested in getting on board the quantum train--plus anyone who's quantum-curious--this Dummies guide is a must-have

  • Sách/Book


  • Authors: Kaswan, Kuldeep Singh (2023)

  • Quantum mechanics emerged as a branch of physics in the early 1900s to explain nature on the scale of atoms and led to advances such as transistors, lasers, and magnetic resonance imaging. The idea to merge quantum mechanics and information theory arose in the 1970s but garnered little attention until 1982, when physicist Richard Feynman gave a talk in which he reasoned that computing based on classical logic could not tractably process calculations describing quantum phenomena. Quantum computing is the study of how to use phenomena in quantum physics to create new ways of computing. Quantum computing is made up of qubits. Unlike a normal computer bit, which can be 0 or 1, a qubit can be either of those, or a superposition of both 0 and 1"--