Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you're an academic, researcher, or enthusiast, this concise volume offers a snapshot of the dynamic and collaborative spirit defining the Computing Conference 2024.

Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.

Essentials of RF Front-end Design and Testing Highly comprehensive text delivering the RF system essentials required to understand, develop, and evaluate the performance of RF wireless systems Essentials of RF Front-end Design and Testing: A Practical Guide for Wireless Systems is a system-oriented book which provides several wireless communication disciplines in one volume. The book covers a wide range of topics, including antenna fundamentals, phased array antenna and MIMOs that are crucial for the latest 5G mmWave and future 6G wireless systems, high-frequency transmission lines, RF building blocks that are necessary to understand how various RF subsystems are interrelated and implemented in wireless systems, and test setups for conducted and Over-The-Air (OTA) transmitter and receiver tests. The text enables readers to understand, develop, and evaluate the performance of RF wireless systems. The text focuses on RF system performance and testing rather than mathematical proofs, which are available in the provided references. Although the book is intended for testing and building RF system prototypes, it has the sufficient theoretical background needed for RF systems design and testing. Each chapter includes learning objectives, review questions, and references. Sample topics covered in the book include: An overview of cellular phone systems, 5G NR wireless technology, MIMO technology, terahertz communications for 6G wireless technology, and modulation and multiplexing Analog and digital modulation techniques, including AM, SSB, FM, FSK, PSK, QAM, SSFH, DSSS, and OFDM High-frequency transmission lines, S-parameters, low-noise amplifier, RF mixers, filters, power amplifiers, frequency synthesizers, circulators/isolators, directional couplers, RF switches, and RF phase shifters Antenna basics, including antenna gain, radiation pattern, input impedance, polarization, and antenna noise temperature; microstrip antenna, antenna array, propagation path loss, compact antenna test range (CATR), and test setups for antenna measurements. Basics of MIMO and beamforming technology, including analog, digital, and hybrid beamforming Test setups for characterizing the key RF performance parameters of 5G New Radio base station transmitters and receivers. Essentials of RF Front-end Design and Testing: A Practical Guide for Wireless Systems is a highly comprehensive resource on the subject and is intended for graduate engineers and technologists involved in designing, developing, and testing wireless systems, along with undergraduate/graduate students, enhancing their learning experience of RF subsystems/systems characterization.

Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.