Bentham Science Publishers

Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due on advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies.

Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart solutions for urban and rural environments.

This book is divided into three sections to impart a better understanding of the topics to readers. These sections are: 1) Demystifying smart cities and villages: A traditional perspective, 2) Smart innovations for rural lifestyle management solutions, and 3) Case studies. Through this book, readers will be able to understand various advanced technologies that are vital to the development of smart cities and villages.

The book presents 15 chapters that present effective solutions to urban and rural challenges. Concepts highlighted in chapters include smart farms, indoor object classification systems, smart transportation, blockchains for medical information, humanoid robots for rural education, IoT devices for farming, and much more.

This book is intended for undergraduate and graduate engineering students across all disciplines, security providers in the IT and related fields, and trainees working for infrastructure management companies. Researchers and consultants at all levels working in the areas of artificial intelligence, machine learning, IoT, blockchain, network security, and cloud computing will also find the contents beneficial in planning projects involving smart environments.

Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies.

The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains.

Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management.

Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.

This e-book is a collection of chapters on practical and theoretical aspects of atmospheric flows over flat and complex terrain, with applications to air pollution and wind energy.

It is divided into two main sections: the first section deals with atmospheric dynamics, and the second section explains the planetary boundary-layer parameterization that is a key issue for the definition of initial wind flow fields in meteorological and prognostic estimation of turbulence - "Ensemble Nowcasting" for short term prediction.

The e-book is unique in that it features a combination of theoretical, analytical and numerical techniques, and tools where the techniques presented in the e-book are demonstrated and can be replicated by the reader. These practical tools can be used to easily test selected mathematical formulation or for performing a swift sensitivity analysis. The tools presented in this reference work focus primarily on mixing height evaluation, representative day identification and PBL characterization by elementary measurements evaluated at surface level.

This e-book should be a valuable reference for readers interested in the meteorology of atmospheric wind flows.

Bacterial Diseases provides readers an overview of a broad variety of bacterial infections. Chapters cover the description of specific disease and its causative agent, followed by information about symptoms, diagnosis and clinical management. This easy-to-read resource is a suitable introductory textbook for pharmacy, medical, and dental students, as well as M Phil, and Ph.D. candidates for Pharmacology, Botany, Zoology, Microbiology, Pharmacy, Biotechnology and allied health science programs. Readers interested in a simple clinical summary of bacterial diseases can also benefit from the information provided.

Key Features:

- Coverage of a broad spectrum of bacterial infections over 41 topical chapters

- Easy-to-read presentation which provides a basic description of diseases covered to clinical diagnosis and management

- Emphasis on the route of infection

- References for further reading

Basics of Python Programming: A Quick Guide for Beginners is an essential companion to mastering the Python programming language. The book presents information about Python in 12 structured chapters with a strong emphasis on fundamentals and practical information. Starting with basic operators, functions and expressions, contents explain file handling, exception handling and modules. The book concludes with advanced topics such as object oriented programming and machine learning. Key Features: Fundamental Focus: Covers the core concepts of Python programming to build a strong foundation in python programming in an easy-to-understand format. Practical Demonstrations: Learn by doing. This textbook includes hands-on practical demonstrations that reinforce your understanding of Python concepts. IDE Guidance: Includes programming and installation guidance for Python-supporting Integrated Development Environments (IDEs). Explores Python Frameworks: Introduces Python frameworks such as Matplotlib, TensorFlow, PyTorch, Scikit-Learn, and NLTK for complex projects. Python for Machine Learning: Gives a preliminary understanding of Python for machine learning tasks for data science and AI applications. Basics of Python Programming: A Quick Guide for Beginners is the perfect starting point for aspiring students, programmers and tech enthusiasts. Whether you're a student looking to build a solid foundation in Python or an industry professional venturing into machine learning and artificial intelligence, this textbook has you covered.

Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Working on HCI projects requires specific skill sets to implement IT solutions. Big Data Analytics for Human-Computer Interactions: A New Era of Computation is a comprehensive guide that discusses the evolution of Big Data in Human Computer Interaction from promise to reality. This book provides an introduction to Big Data and HCI, followed by an overview of the state-of-the-art algorithms for processing big data, Subsequent chapters also explain the characteristics, applications, opportunities and challenges of big data systems, by describing theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in designing HIC systems. The book also presents solutions for analyzing complex patterns in user data and improving productivity. Readers will be able to understand the technology that drives big data solutions in HCI projects and understand its capacity in transforming an organization.The book also helps the reader to understand HCI system design and explains how to evaluate an application portfolio that can be used when selecting pilot projects. This book is a resource for researchers, students, and professionals interested in the fields of HCI, artificial intelligence, data analytics, and computer engineering.

Bio-Inspired Nanotechnology focuses on the use of bio-inspired and biomimetic methods for the fabrication and activation of nanomaterials. It summarizes recent developments in biocompatible and biodegradable materials, including their properties, fabrication methods, synthesis protocols, and applications. This includes studies concerning the binding of the biomolecules to the surface of inorganic structures, structure/function relationships of the final materials, and unique applications of such biomimetic materials in harvesting/storage, biomedical diagnostics, and materials assembly. The book chapters also cover a range of available bio-based nanomaterials, including chitin, starch and nanocellulose. It serves as a detailed reference for learners and anyone interested in sustainable nanoscale materials, including materials scientists, biomedical engineers, environmental scientists, food and agriculture manufacturers and scientists.

Bioactive Phytochemicals from Himalayas: A Phytotherapeutic Approach covers herbal medicines from the Himalayan mountains. Chapters in this book detail molecular mechanisms and experimental tools and techniques for research on plants in this region. Phytochemical experts guide the readers through the role of Himalayan plants in therapy for metabolic diseases like cancer and diabetes, hepatic diseases, inflammatory diseases, and neurodegenerative diseases. Some chapters focus on diseases and how various plants from Himalayan origin are beneficial in these diseases. This compilation,with professional contributors, aims to inform a wide scientific community from various research fields about basic research on medicinal plants with a focus on Himalayan herbs. The book also serves as a handbook for pharmacologists working on the broad therapeutic aspects of these plants.

This book explores cutting-edge biocarbon polymer composites. The book brings together nine edited chapters that explore the development, properties, and applications of these eco-friendly materials, highlighting their potential to transform industries and reduce the environmental impact of traditional polymers. Spanning a range of critical topics, this book begins with an introduction to biocarbon and polymer materials, providing a solid foundation. It then progresses into the latest research on biocarbon sources, processing techniques, and characterization methods. Subsequent chapters cover the mechanical, thermal, and electrical properties of biocarbon polymer composites, along with their applications in diverse industries such as automotive, construction, and packaging. Contributors highlight real-world case studies and examples to showcase the practical relevance of these materials.

Readers will gain a comprehensive understanding of the science and technology behind biocarbon polymer composites, enabling them to make informed decisions in materials selection and development. In an era of increasing environmental consciousness, this book emphasizes the eco-friendly nature of biocarbon composites, offering sustainable alternatives to traditional plastics. Additionally, this book bridges the information gaps between different disciplines and it is intended for a wide range of readers, from materials scientists and engineers to environmentalists and industry policymakers.

Aluminium is a chemical element present in earth’s crust and it is a known environmental toxin which has been found to be associated with various neurological disorders. Aluminium has been found to be a very strong risk factor for the development of Alzheimer’s disease.

Biochemical Mechanisms of Aluminium Induced Neurological Disorders explains the association of aluminium with neurological disorders. The book introduces the reader to sources of aluminium exposure, followed by an explanation of pharmacokinetics of aluminium and the different biochemical pathways that cause neurological effects. Chapters cover the typical mechanisms associated with aluminium neurotoxicity such as synaptic impairment as well as recent topics of interest such as the role of aluminum in impairing blood-brain barrier functions. Separate chapters which cover clinical evidence of aluminium toxicity and its management are also included in the book.

Biochemical Mechanisms of Aluminium Induced Neurological Disorders is a concise, yet informative reference on the subject of aluminium neurotoxicity for all readers, whether they are students of biochemistry, pharmacology and toxicology, clinical neurologists, environmentalists interested in metal pollution or general readers who want to learn about the toxic effects of aluminium in humans.