Bentham Science Publishers

Designing and developing new drugs is an expensive and time-consuming process, and there is a need to discover new tools or approaches that can optimize this process. Applied Computer-Aided Drug Design: Models and Methods compiles information about the main advances in computational tools for discovering new drugs in a simple and accessible language for academic students to early career researchers. The book aims to help readers understand how to discover molecules with therapeutic potential by bringing essential information about the subject into one volume. Key Features . Presents the concepts and evolution of classical techniques, up to the use of modern methods based on computational chemistry in accessible format. . Gives a primer on structure- and ligand-based drug design and their predictive capacity to discover new drugs. . Explains theoretical fundamentals and applications of computer-aided drug design. . Focuses on a range of applications of the computations tools, such as molecular docking; molecular dynamics simulations; homology modeling, pharmacophore modeling, quantitative structure-activity relationships (QSAR), density functional theory (DFT), fragment-based drug design (FBDD), and free energy perturbation (FEP). . Includes scientific reference for advanced readers

This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis).

Key Features:

- Introduces readers to the basics of AI and ML in expert systems for healthcare

- Focuses on a problem solving approach to the topic

- Provides information on relevant decision-making theory and data science used in the healthcare industry

- Includes practical applications of AI and ML for advanced readers

- Includes bibliographic references for further reading

The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.

Architecture in Contemporary Literature artfully weaves the tapestry of architecture with the eloquence of modern literary masterpieces. In this follow up to their earlier work on architecture in fictional literature, the editors have carefully selected 31 significant works from contemporary world literature, offering a fresh educational approach to literary critique and architecture. This exploration allows readers to perceive life through the lens of architectural backgrounds. Nature, society, humans, and cities come to life through these chosen literary gems. Extensive collaboration with architects, intellectuals, academics, writers, and thinkers culminates in the selection of influential works that guide present-day architectural perspectives and aspirations.

The book promises to be a valuable reference for undergraduate and graduate students in architecture, interior architecture, urban planning, fine arts, humanities, social sciences, and various design disciplines. Yet, its appeal also extends to anyone with an appreciation for urban life and a desire for a broader understanding of the intricacies of architecture. Whether you're an expert in design, culture, art, sociology, or literature, or simply an avid learner, Architecture in Contemporary Literature is a compelling exploration that deserves a prominent place on your bookshelf. Engage with its pages and immerse yourself in the fusion of architectural insight and literary artistry.

This book provides a single platform for beginners in systems engineering to start Arduino interface projects with MATLAB®. It covers the basics of the programming with Arduino and Arduino interfacing with MATLAB® (with and without the use or I/O packages) in 3 sections, respectively.

Key features:

-introduces readers to Arduino IDE, Proteus simulation modeling, Arduino interfaces with display devices, sensor interfaces (both digital and analog), actuators, MATLAB® GUIs, digital read/write systems with I/O interfaces and automation systems.

-organized layout for a reader friendly experience

-provides detailed circuit diagrams

-provides relevant simulation modeling instructions

This is an ideal book for engineering students and system designers for learning the basic programming and simulation of Arduino and MATLAB® based real time project prototypes.

Arid and Semi-Arid Zones of Mexico: A Comprehensive Exploration of Biodiversity, Ecology, and Conservation is an in-depth, multidisciplinary examination of one of Mexico's most ecologically distinctive and biologically rich landscapes. Comprising 14 chapters authored by subject-matter experts, this reference work investigates the climatic, physical, and biological characteristics of Mexico's principal arid and semi-arid regions.

The volume presents detailed assessments of emblematic plant and animal species, while also exploring the ecological roles of nursery processes and the consequences of human activity on fragile desert ecosystems. Conservation priorities are addressed through evaluations of protected natural areas and the safeguarding of native germplasm resources. Additionally, the contributors document the medicinal and biologically active products derived from arid-zone flora, highlighting their ecological and cultural significance.

Each chapter integrates case studies and findings from Mexico's key arid regions — the Baja California Peninsula, Chihuahuan Desert, Sonoran Desert, and Tehuacán-Cuicatlán Valley.

Key Features

Comprehensive ecological, biological, and conservation analysis of Mexico's arid and semi-arid regions

In-depth focus on emblematic fauna and flora

Examination of ecological processes, human impacts, and conservation strategies

Assessment of protected areas and germplasm conservation efforts using cacti as umbrella taxa

Documentation of natural products with medicinal and biological applications

Integrative analyses across four major arid regions, highlighting ecological patterns and biodiversity trends

This book is a personal, political and philosophical exploration of doing both therapy and research: an enquiry into how the process of therapy shapes the therapist as well as the client, and how the researcher is shaped by her research. A guiding theme is the proposal, following Foucault and Nikolas Rose, that psychotherapy is constituted, through forms of modern power, as a crucial contemporary site of both governance and resistance. As well as giving an account of the author's clinical and research practices as an art psychotherapist and narrative therapist, the book offers a highly readable introduction to poststructural theory and innovative social sciences methodologies, while expanding the understanding and practice of these theories and methodologies. The book embodies and performs what it describes, engaging readers far more strongly in complex theoretical material than is possible in an expository text. The poststructural, autoethnographic approach taken in this book is unique in the field of the arts therapies.

Artificial Intelligence Development in Sensors and Computer Vision for Health Care and Automation Application explores the power of artificial intelligence (AI) in advancing sensor technologies and computer vision for healthcare and automation. Covering both machine learning (ML) and deep learning (DL) techniques, the book demonstrates how AI optimizes prediction, classification, and data visualization through sensors like IMU, Lidar, and Radar. Early chapters examine AI applications in object detection, self-driving vehicles, human activity recognition, and robot automation, featuring reinforcement learning and simultaneous localization and mapping (SLAM) for autonomous systems. The book also addresses computer vision techniques in healthcare and automotive fields, including human pose estimation for rehabilitation and ML in augmented reality (AR) for automotive design. This comprehensive guide provides essential insights for researchers, engineers, and professionals in AI, robotics, and sensor technology.

Key Features:

- In-depth coverage of AI-driven sensor innovations for healthcare and automation.

- Applications of SLAM and reinforcement learning in autonomous systems.

- Use of computer vision in rehabilitation and vehicle automation.

- Techniques for managing prediction uncertainty in AI models.

Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications captures the state of the art in usage of artificial intelligence in different types of recommendation systems and predictive analysis. The book provides guidelines and case studies for application of artificial intelligence in recommendation from expert researchers and practitioners. A detailed analysis of the relevant theoretical and practical aspects, current trends and future directions is presented.

The book highlights many use cases for recommendation systems:

- Basic application of machine learning and deep learning in recommendation process and the evaluation metrics

- Machine learning techniques for text mining and spam email filtering considering the perspective of Industry 4.0

- Tensor factorization in different types of recommendation system

- Ranking framework and topic modeling to recommend author specialization based on content

- Movie recommendation systems - Point of interest recommendations

- Mobile tourism recommendation systems for visually disabled persons

- Automation of fashion retail outlets

- Human resource management (employee assessment and interview screening)

This reference is essential reading for students, faculty members, researchers and industry professionals seeking insight into the working and design of recommendation systems.

This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries. The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems. Key features: - A concise yet diverse range of AI applications for multimedia data engineering - Covers both supervised and unsupervised machine learning techniques - Summarizes emerging AI trends in data engineering - Simple structured chapters for quick reference and easy understanding - References for advanced readers This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications.

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.