Books in Physical sciences and engineering

Unlocking the Secrets of Soil

1st Edition
March 1, 2025
David C. Weindorf + 2 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 2 9 8 7 9 - 0
eBook
9 7 8 - 0 - 4 4 3 - 2 9 8 8 0 - 6

Unlocking the Secrets of the Soil: Applying AI and Sensor Technologies for Sustainable Land Use is a comprehensive guide to the latest advances in soil characterization. This book explores the role of sensors and artificial intelligence in improving soil management practices and supporting sustainable land use. Through detailed descriptions of sensor and AI-based techniques for measuring physical, chemical, and biological soil properties, readers will gain a deep understanding of the tools and technologies available for soil characterization. The book also covers the latest machine learning algorithms and image processing for analyzing soil data and making informed decisions about land use. Unlocking the Secrets of the Soil is an essential resource for researchers, practitioners, and students interested in the intersection of AI and sensor technologies for soil management and sustainability.

Deep Learning in Action: Image and Video Processing for Practical Use

1st Edition
March 1, 2025
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 0 0 7 8 - 3
eBook
9 7 8 - 0 - 4 4 3 - 3 0 0 7 9 - 0

Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient. Deep Learning in Action: Image and Video Processing for Practical Use provides a comprehensive and accessible resource for both intermediate to advanced readers seeking to harness the power of deep learning in the domains of video and image processing. The book bridges the gap between theoretical concepts and practical implementation by emphasizing lightweight approaches, enabling readers to efficiently apply deep learning techniques to real-world scenarios. It focuses on resource-efficient methods, making it particularly relevant in contexts where computational constraints are a concern.

Advances in Heterocyclic Chemistry

1st Edition
Volume 145
March 1, 2025
Eric F.V. Scriven + 1 more
English
Hardback
9 7 8 - 0 - 4 4 3 - 3 1 6 6 0 - 9
eBook
9 7 8 - 0 - 4 4 3 - 3 1 6 6 1 - 6

Advances in Heterocyclic Chemistry series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

Microplastics in the Environment: Occurrence, Fate and Distribution

1st Edition
Volume 13
March 1, 2025
Javier González-Sálamo + 1 more
English
eBook
9 7 8 - 0 - 4 4 3 - 3 1 7 7 3 - 6

Microplastics in the Environment: Occurrence, Fate and Distribution, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

Advances in Bio-Based Materials for Construction and Energy Efficiency

1st Edition
March 1, 2025
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 2 8 0 0 - 8
eBook
9 7 8 - 0 - 4 4 3 - 3 2 8 0 1 - 5

Advances in Bio-Based Materials for Construction and Energy Efficiency fills a gap in the published literature, discussing bio-based materials and biotechnologies that are crucial for a more sustainable construction industry. With comprehensive coverage and contributions from leading experts in the field, the book includes sections on bio-based materials and biotechnologies for infrastructure applications, bio-based materials and biotechnologies for building energy efficiency, and other applications, such as using biotechnology to reduce indoor air pollution, for water treatment, and in soil decontamination. The book will be an essential reference resource for academic researchers, civil engineers, contractors working in construction works, postgraduate students and other professionals.

Generalized Quantum Calculus with Applications

1st Edition
March 1, 2025
English
Paperback
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eBook
9 7 8 - 0 - 4 4 3 - 3 2 8 0 5 - 3

Generalized Quantum Calculus with Applications is devoted to the qualitative theory of general quantum calculus and its applications to general quantum differential equations and inequalities. The book is aimed at upper-level undergraduate students and beginning graduate students in a range of interdisciplinary courses including physical sciences and engineering, from quantum mechanics to differential equations, with pedagogically organized chapters that each concludes with a section of practical problems. Generalized quantum calculus includes a generalization of the q-quantum calculus and the time scale calculus. There are many open problems and difficulties in q-quantum calculus and time-scale calculus, and this book explores how to use the generalized quantum operators to solve difficulties arising in q-quantum calculus and time-scale calculus, including but not limited to generalized quantum integration, generalized quantum chain rules, and generalized quantum Taylor formula.Since generalized quantum calculus includes the q-quantum and time-scale calculus, this book can be utilized by a wide audience of researchers and students. This text is one of few foundational books on generalized quantum calculus and can be used for future discoveries in the area of integral transforms, variational calculus, integral equations, and inequalities in the language of generalized quantum calculus. This book also offers detailed proofs, exercises, and examples to aid instructors, researchers, and users in their studies.

Artificial Neural Networks and Type-2 Fuzzy Set

1st Edition
March 1, 2025
Snehashish Chakraverty + 2 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 2 8 9 4 - 7
eBook
9 7 8 - 0 - 4 4 3 - 3 2 8 9 5 - 4

Soft computing is an emerging discipline which aims to exploit tolerance for imprecision, approximate reasoning, and uncertainty to achieve robustness, tractability, and cost effectiveness for building intelligent machines. Soft computing methodologies include neural networks, fuzzy sets, genetic algorithms, Bayesian networks, and rough sets, among others. In this regard, neural networks are widely used for modeling dynamic solvers, classification of data, and prediction of solutions, whereas fuzzy sets provide a natural framework for dealing with uncertainty. Artificial Neural Networks and Type-2 Fuzzy Set: Elements of Soft Computing and Its Applications covers the fundamental concepts and the latest research on variants of Artificial Neural Networks (ANN), including scientific machine learning and Type-2 Fuzzy Set (T2FS). In addition, the book also covers different applications for solving real-world problems along with various examples and case studies. It may be noted that quite a bit of research has been done on ANN and Fuzzy Set theory/ Fuzzy logic. However, Artificial Neural Networks and Type-2 Fuzzy Set is the first book to cover the use of ANN and fuzzy set theory with regards to Type-2 Fuzzy Set in static and dynamic problems in one place. Artificial Neural Networks and Type-2 Fuzzy Sets are two of the most widely used computational intelligence techniques for solving complex problems in various domains. Both ANN and T2FS have unique characteristics that make them suitable for different types of problems. This book provides the reader with in-depth understanding of how to apply these computational intelligence techniques in various fields of science and engineering in general and static and dynamic problems in particular. Further, for validation purposes of the ANN and fuzzy models, the obtained solutions of each model in the book is compared with already existing solutions that have been obtained with numerical or analytical methods.

Computational Automation for Water Security

1st Edition
March 1, 2025
Ashutosh Kumar Dubey + 4 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 3 3 2 1 - 7
eBook
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Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.

Computational Methods for Time-Series Analysis in Earth Sciences

1st Edition
March 1, 2025
Silvio José Gumiere + 1 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 3 6 3 1 - 7
eBook
9 7 8 - 0 - 4 4 3 - 3 3 6 3 2 - 4

Computational Methods for Time-Series Analysis in Earth Sciences bridges the gap between theoretical knowledge and practical application, offering a deep dive into the utilization of R programming for managing, analyzing, and forecasting time-series data within the Earth sciences. The book systematically unfolds the layers of data manipulation, graphical representation, and sampling to prepare the reader for complex analyses and predictive modeling, from the basics of signal processing to the nuances of machine learning. It presents cutting-edge techniques, such as neural networks, kernel-based methods, and evolutionary algorithms, specifically tailored to tackle challenges, and provides practical case studies to aid readers.This is a valuable resource for scientists, researchers, and students delving into the intricacies of Earth's environmental patterns and cycles through the lens of computational analysis. It guides readers through various computational approaches for deciphering spatial and temporal data.

Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis

1st Edition
March 1, 2025
Xueqian Fu
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 4 0 4 1 - 3
eBook
9 7 8 - 0 - 4 4 3 - 3 4 0 4 2 - 0

Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis addresses uncertainty issues in photovoltaic power generation and supports the collaborative enhancement of understanding and application of theory and methods through the integration of models, cases, and code. The book employs StaRAI to address uncertainty analysis and modeling issues at different time scales in photovoltaic power generation, including photovoltaic power prediction, probabilistic power flow, stochastic planning, and more. Chapters 2, 3, 4, and 5 cover uncertainty of PV power generation from short to long time scales, including day-ahead scheduling (24 hours in advance), intraday scheduling (minute to hour rolling), and grid planning (15 years). Chapters 6, 7, and 8 study the impact of photovoltaic uncertainty on the power grid, offering the most classic cases of probabilistic load flow and PV stochastic planning. The theoretical content of this book is not only systematic but supplemented with concrete examples and Matlab/Python codes. This is of interest to all those working on photovoltaic planning, power generation, power plants, and applications of AI, including researchers, advanced students, faculty engineers, R&D, and designers.

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