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Books in Physical sciences and engineering

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241-250 of 25165 results in All results

Advances in Electrically Conductive Textiles

  • 1st Edition
  • November 1, 2024
  • Subhankar Maity + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 0 4 7 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 0 4 8 - 7
Nonmetallic electroconductive textiles, unlike metals, offer flexibility, durability, moldability, and lightweight attributes. A brilliant quality of these textiles is the capability to alter conductivity through various external stimuli (e.g., strain, torsion, pH, humidity) to suit a specific application such as sensors, heating garments, EMI shielding, energy harvesting devices, and wearable electronics.Based on these concepts, Advances in Electrically Conductive Textiles: Materials, Characterization, and Applications has been structured into three main sections. Section I contains chapters discussing the various preparation methods of electroconductive textiles, Section II contains chapters on their characteristics and features, and Section III details the end-use applications and sustainability of these textiles.

Machine Learning for Low-Latency Communications

  • 1st Edition
  • November 1, 2024
  • Yong Zhou + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 0 7 3 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 0 7 4 - 6
Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods via algorithm unrolling and multiarmed bandit for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission.Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge. Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency.

Machine Learning Models and Architectures for Biomedical Signal Processing

  • 1st Edition
  • November 1, 2024
  • Suman Lata Tripathi + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 1 5 8 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 1 5 7 - 6
Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques.

Practical Petrophysics

  • 2nd Edition
  • November 1, 2024
  • Martin Kennedy
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 3 0 3 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 3 0 2 - 0
Practical Petrophysics, Second Edition, Volume 62 provides a comprehensive overview of building a petrophysical model. All aspects from the principles of data acquisition through analysis to reporting are covered. This is not intended to be a review of specific tools and measurements, nor is it simply a recipe book. The book aims to teach the fundamental principles that underlie the commonly used tools and techniques but also to encourage pragmatism and avoid reading too much into what is always imperfect data.

Waste-to-Energy

  • 1st Edition
  • November 1, 2024
  • Pooja Sharma + 5 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 6 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 3 5 7 - 0
Waste-to-Energy: Sustainable Approaches for Emerging Economies presents the latest developments and applications for the conversion of waste into biofuels and other energy products. Divided into two parts, Section I reviews the major sources of solid waste and their management strategies in developing countries, and includes the collection, composition, segregation, and dispersal of various waste streams, as well as the generation of biogas and other value-added products. Section II examines the transformation of waste into biofuels and the management strategies required to efficiently implement waste-to-energy processes.Methods for the production of hydrogen, biomethane, biofuels, and bioenergy, as well as resource recovery are discussed in depth, and mathematical models are provided for anaerobic digestion techniques. The benefits and challenges of waste-to-energy as a waste management strategy are explored through dedicated chapters on the techno-economics, environmental and social regulation, and the operation of WtE plants. The final chapter of the book presents a lifecycle assessment and environmental impact analysis of the technologies and strategies discussed.

Artificial Intelligence for Subsurface Characterization and Monitoring

  • 1st Edition
  • November 1, 2024
  • Aria Abubakar
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 5 1 7 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 4 2 2 - 5
Artificial Intelligence for Subsurface Characterization and Monitoring provides an in-depth examination of how deep learning accelerates the process of subsurface characterization and monitoring and provides an end-to-end solution. In recent years, deep learning has been introduced to the geoscience community to overcome some longstanding technical challenges. This book explores some of the most important topics in this discipline to explain the unique capability of deep learning in subsurface characterization for hydrocarbon exploration and production and for energy transition. Readers will discover deep learning methods that can improve the quality and efficiency of many of the key steps in subsurface characterization and monitoring.The text is organized into five parts. The first two parts explore deep learning for data enrichment and well log data, including information extraction from unstructured well reports as well as log data QC and processing. Next is a review of deep learning applied to seismic data and data integration, which also covers intelligent processing for clearer seismic images and rock property inversion and validation. The closing section looks at deep learning in time lapse scenarios, including sparse data reconstruction for reducing the cost of 4D seismic data, time-lapse seismic data repeatability enforcement, and direct property prediction from pre-migration seismic data.

Data Analytics and Artificial Intelligence for Earth Resource Management

  • 1st Edition
  • November 1, 2024
  • Deepak Kumar + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 5 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 6 - 2
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.

Environmental Hazards of Plastic Wastes

  • 1st Edition
  • November 1, 2024
  • Jakub Zdarta + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 9 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 6 0 0 - 6
Environmental Hazards of Plastic Wastes: Bioremediation Approaches for Environmental Clean-up focuses on the exploitation of various biological treatment technologies, their use to treat plastic contaminants, and restoration of contaminated sites. The book also addresses the biological treatment of plastic waste and its management of sustainable technologies for its reuse for environmental protection. The book examines advanced technologies, updated information, and future directions for researchers and scientists working in the bioremediation and biodegradation of plastic contaminants and reutilization of plastic wastes in the production of construction materials for environmental safety.The treatment of plastic wastes with environmentally benign approaches will be assessed in this book and will also provide ways to protect our natural environment by managing hazardous plastic pollutants through various techno-based, eco-friendly strategies.

The Intersection of Blockchain and Energy Trading

  • 1st Edition
  • November 1, 2024
  • Sidique Gawusu + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 6 2 7 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 6 2 8 - 0
The Intersection of Blockchain and Energy Trading: Exploring Decentralized Solutions for Next-Generation Energy Markets equips readers with a practical understanding of the opportunities and challenges of this cutting-edge technology for the renewable energy markets of the future.Its multidisciplinary team of authors and editors provide a holistic guide to blockchain in energy markets, beginning with the fundamentals of energy trading and foundational principles of blockchain technology. Subsequent chapters demonstrate the applied opportunities for a variety of energy outcomes including renewable energy, decentralized energy, and electric vehicles.Essential use-cases such as demand response and ancillary services are covered, and the final chapters offer guidance on the impact of the technology for energy poverty and sustainability. Packed with models, case studies, and tools for implementation and practice, this book is an essential guide for researchers and professionals at the forefront of energy market innovation.

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