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.

Artificial Intelligence: Models, Algorithms and Applications presents focused information about applications of artificial intelligence (AI) in different areas to solve complex problems. The book presents 8 chapters that demonstrate AI based systems for vessel tracking, mental health assessment, radiology, instrumentation, business intelligence, education and criminology. The book concludes with a chapter on mathematical models of neural networks.

The book serves as an introductory book about AI applications at undergraduate and graduate levels and as a reference for industry professionals working with AI based systems.

An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and other networks which are complementary to ANN systems.

The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others.

Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design.

This reference presents information about quality benchmarks of Indian higher education institute (HEI) accreditation bodies namely, the National Assessment and Accreditation Council (NAAC) and the National Institute Ranking Framework (NIRF). The objective of the book is to enlighten stakeholders working in Indian HEIs on the recently revised accreditation and ranking processes, which are crucial to the career prospects of students. The contributors of each chapter include experienced NAAC assessors and educationalists. The authors present their own experiences in the light of the accreditation process and suggestions for the improvement of rankings in their institutes. Topics such as the student feedback system, student perception on private and public universities, student mentoring system, usage of ICT methods in teaching learning process, and integration of life skills into curriculum are discussed in this book. The information is presented in a simple, structured manner and is an informative resource for personnel involved in administrative and policy making roles in higher educational settings, with a focus on the Indian higher education system.

Functional foods (foods with known bioactive properties) have shown potential for preventive and therapeutic treatments. However, this potential must be safely determined before they enter the commercial market. At the same time, nutrition research is transforming into a data driven field with reference to the identification and development of functional food products due to the large number of variables affecting food biochemistry in the human body. This volume presents reviews of recent advances in food chemistry, food technology and nutraceutical research (for diet therapy and cosmetics).

Chapters in this volume cover a broad spectrum of topics:

- drug discovery and development in the modern nutraceutical industry,

- recent developments in the extraction, identification and quantification of bioactive peptides in foods,

- concepts of bioavailability, bioaccessibility, bioactivity, bioefficiency and bioconversion of bioactive foods,

- synthetic routes for obtaining bioactive compounds,

- the role of nutrigenomics to identify key cellular functions by specific genetic and epigenetic interactions with a nutrient,

- anti-cancer properties of important bioactive components of medicinal plants,

- the effect of a diet based on different bioactive foods on prevention and treatment of diabetes,

- antioxidant effects on cardiovascular disease,

- beneficial effects of bioactive foods on metabolic syndrome,

- the potential of tauroursodeoxycholic acid on prevention and recovery of neurodegenerative diseases,

- the effects of natural phytochemicals in prostate cancer,

- the effects of methylxanthines (caffeine and others), and culinary methods on physiological and toxicological effects of the bioactive food constituents.

The volume is an ideal reference for pharmacy students, nutritionists, healthcare providers and nutraceutical R&D specialists interested in functional foods.

This comprehensive text describes the phenomenon of atomic coherence and the applications in several processes. Various sections have been written by eminent authors who have made extensive contributions in the field of quantum interference. Discussions are on microscopic nano-resolution techniques, lithography, photonic band gap control and much more. The Ebook is unique in its approach with experimental demonstrations and it should be a particularly useful reference for aspiring theoretical physicists, looking for a comprehensive review of applications in this active research field within a single book.

Autoimmune Disorders and Secondary Plant Metabolites provides a crisp overview of immune system dysfunction, then examines the therapeutic potential of medicinal plants in managing major autoimmune and immune-related disorders such as Type 1 Diabetes, Multiple Sclerosis, Psoriasis, Systemic Lupus, Vitiligo, and Hashimoto's Thyroiditis. Each chapter identifies disease-specific phytochemicals, explains mechanisms of action, and highlights emerging plant-based pharmacotherapy strategies, while linking traditional pharmacology with modern molecular and diagnostic advances.

Key Features

- Provides disease-wise phytochemical insights.

- Explains immunomodulatory mechanisms using plant bioactive compounds.

- Bridges traditional and molecular pharmacology concepts.

- Presents evidence through simplified tables and visuals for comparison.

Awake thoracic surgery is a new surgical field that is set to expand in the near future. Employing sole epidural or local anaesthesia in fully awake patients renders many thoracic surgical procedures doable with less invasiveness and general anaesthesia related adverse effects can be avoided. This, in turn, facilitates fast track surgery and improves cost-effectiveness of treatment procedures. The book explains issues relevant to awake thoracic surgery including postoperative immunologic and stress-hormone responses, lung volume reduction surgery, pulmonary resections and thymectomy. This Ebook should be useful to readers interested in a comprehensive reference work on this intriguing minimally invasive surgical option.

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