Bentham Science Publishers

Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses.

Key Features:

- Comprehensive coverage of advanced mathematical concepts and techniques in data science

- Contributions from established scientists, researchers, and academicians

- Real-world case studies and practical applications of mathematical methods

- Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis

- In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence

- Scholarly references for each chapter - Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.

High air pollution levels pose a significant threat to plants, animals and human beings. Efforts by researchers are directed towards keeping air pollution levels below well defined ‘critical‘ levels in order to maintain a sustainable atmosphere and environmental system. The application of advanced mathematical models is important for researchers to achieve this goal as efficiently as possible. Mathematical models can be used to predict answers to many important questions about the environment. This application comes with several complex theoretical and practical obstacles which need to be resolved. A successfully applicable mathematical model needs to enable researchers to

Mathematically describe all important physical and chemical processes.

Apply fast and sufficiently accurate numerical methods.

Ensure that the model runs efficiently on modern high speed computers.

Use high quality input data, both meteorological data and emission inventories, in the runs.

Verify the model results by comparing them with reliable measurements taken in different parts of the spatial domain of the model.

Carry out long series of sensitivity experiments to check the response of the model to changes of different key parameters.

Visualize and animate the output results in order to make them easily understandable even to non-specialists.

This monograph thoroughly describes mathematical methods useful for various situations in environmental modeling including finite difference methods, splitting methods, parallel computation, etc. and provides a framework for resolving problems posed in relation to the points listed above. Chapters are written by well-known specialists making this book a handy reference for researchers, university teachers and students working and studying in the areas of air pollution, meteorology, applied mathematics and computer science.

This 2-part reference informs readers about the application of drug delivery technologies to herbal medicines. Chapters cover a broad range of major topics on the subject of targeted drug delivery systems. These topics include the application of drug delivery systems for herbal nanomedicines, drug development issues, emerging technologies, adaptations for clinical use, market prospects and challenges of industrial commercialization. Chapters have been contributed by several experts in pharmaceutical chemistry and blend theoretical knowledge with practical aspects of drug delivery.

Part II covers the following topics:

- Pharmaceutical nanosciences and their application in the delivery of various phytoconstituents

- Design of cosmeceutical drug delivery systems: the role of nanotechnology in cosmeceuticals

- Transfersomes: a novel vesicular transdermal delivery system

- Self-nano/micro emulsified drug delivery systems

- Phytosomes

- The role of nanomedicines in ocular drug delivery systems

- Colloidosomes as an efficient novel drug delivery system: an update

- Herbal nanoscience: challenges and regulatory perspectives

- Vitamins based nanomedicine approach

- Dendrimers: a versatile nanoplatform for advanced targeting and bioactive(s) delivery

- Targeted drug delivery systems for cells and cell organelles

- Liposomes for herbal drug delivery

- AI in pharmacy, herbal medicine and drug delivery: sci-fi or reality?

Advanced Physical Chemistry Practical Guide aims to improve the student's understanding of theory through practical experience and by facilitating experimental exercises. The book covers a wide range of areas from basic to advanced experiments including the calibration of instruments as well as the use of software for accurate computational quantum chemical calculations.

This book is divided into four sections:

part I - general introduction, calibration of glassware, instruments and precautions

part II - experiments that have a simple theoretical background and classical methods

part III - experiments that are associated with more advanced theory, and technique that require a greater degree of experimental skill and instrumentation

part IV - investigative experiments relying on computers

Covering all aspects of classical, advanced and computational chemistry experiments, Advanced Physical Chemistry Practical Guide will enable students to gain confidence in their ability to perform a physical chemistry experiment and to appreciate the value of an experimental approach towards the subject. Advanced Physical Chemistry Practical Guide is an essential handbook for students and teachers at advanced levels who seek to learn practical knowledge about important aspects of physical chemistry.

Contemporary Endoscopic Spine Surgery brings the reader the most up-to-date information on the endoscopy of the spine. Key opinion leaders from around the world have come together to present the clinical evidence behind their competitive endoscopic spinal surgery protocols. Chapters in the series cover a range of aspects of spine surgery including spinal pain generators, preoperative workup with modern independent predictors of favorable clinical outcomes with endoscopy, anesthesia in an outpatient setting, management of complications, and a fresh look at technology advances in a historical context. The reader will have a first-row seat during the illustrative discussions of expanded surgical indications from herniated disc to more complex clinical problems, including stenosis, instability, and deformity in patients with advanced degenerative disease of the human spine. Contemporary Endoscopic Spine Surgery is divided into three volumes: Cervical Spine, Lumbar Spine, and Advanced Technologies to capture an accurate snapshot in time of this fast-moving field. It is intended as a comprehensive go-to reference text for surgeons in graduate residency and postgraduate fellowship training programs and for practicing spine surgeons interested in looking for the scientific foundation for expanding their clinical practice towards endoscopic surgery.

This volume (Advanced Technologies) covers the following endoscopic spine surgery topics in 19 detailed chapters: endoscopic intradiscal therapy and foraminoplasty, evidence based medicine in spine surgery, artificial intelligence for spine surgery, postoperative management, transforaminal lumbar endoscopy and associated complications, laser applications in full endoscopy of the spine, high frequency surgery for the treatment of herniated discs, lumbar MRI, cost and maintenance management of endoscopic spine systems, regenerative medicine, interbody fusion, endoscopic intravertebral canal decompression after spinal fracture, treatment of lumbar tuberculosis, treatment of degenerative scoliosis, treatment of thoracic meningioma with spinal canal decompression, and cervical endoscopic unilateral laminotomy for bilateral decompression (CE-ULBD).

This volume covers a wide array of topics related to research, technology and sustainability for technology researchers and educators. Chapter 1 explores the detection of fake news in a distributed environment. Material science is covered in Chapter 2, which explains the influence of MOS2, B4C, and graphite on the mechanical and dry sliding wear behavior of aluminum 7075 hybrid matrix composites. Chapter 3 focuses on sensors and antennas for smart sensor networks. Chapters 4 to 8 delve into various aspects of electrical and computer engineering, including induction motor condition monitoring, automatic conversion of building plans to graphs for robot navigation, and analysis of defects in microscopic and electroluminescent images using AI and image processing algorithms.

Chapters 9 to 16 cover topics such as missing data prediction techniques, breast cancer diagnosis on mammography, groundwater contamination, biofertilizers, organic farming, and remediation using organisms. Sustainable development is a key theme in Chapters 17 to 26, addressing issues like sensor-based vehicle fuel theft detection, waste management techniques, bioremediation of soil contaminated with heavy metals, sustainable agriculture practices, and novel approaches in bioplastics and nanoremediation. Finally, Chapters 27 to 29 touch upon renewable energy and Industrial IoT, discussing research challenges in renewable energy sources, recent trends, and the transformation brought about by the Industrial Internet of Things.

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries, reshaping the way we interact with technology, and driving innovation across multiple disciplines. Advancements in Artificial Intelligence and Machine Learning is a comprehensive exploration of the latest developments, applications, and challenges in AI and ML, offering insights into cutting-edge research and real-world implementations.

This book is a collection of twelve chapters, each exploring a distinct application of Artificial Intelligence (AI) and Machine Learning (ML). It begins with an overview of AI's transformative role in Next-Gen Mechatronics, followed by a comprehensive review of key advancements and trends in the field. The book then examines AI's impact across diverse sectors, including energy, digital communication, and security, with topics such as AI-based aging analysis of power transformer oil, AI in social media management, and AI-driven human detection systems.

Further chapters address sentiment analysis, visual analysis for image processing, and the integration of AI in smart grid networks. The volume also covers AI applications in hardware security for wireless sensor networks, drone robotics, and crime prevention systems. The final set of chapters highlight AI's role in healthcare and automation, including an AI-assisted system for women's safety in India and the use of EfficientNet B0 CNN architecture for brain tumor detection and classification. Together, these chapters showcase the versatility and growing influence of AI and ML across critical modern industries.

Key features

A multidisciplinary approach covering AI applications in robotics, cybersecurity, healthcare, and digital transformation in 12 organized chapters.

A focus on contemporary challenges and solutions in AI and ML across industries.

Research-driven insights from experts and practitioners in the field.

Practical discussions on AI-driven automation, security, and intelligent decision-making systems.

This reference summarizes recent advancements in knowledge about cardiovascular disease and pharmacology. The goal of the book is to inform readers about recent findings on cardiovascular therapeutics and how to conduct experiments to evaluate natural products. It presents 10 chapters that cover basic clinical research on cardiovascular diseases and therapeutic agents derived from natural sources. The book concludes with a series of experiments that demonstrate the methods to test the ameliorative effects of 3 phytochemicals: Biochanin A (red clover), Zingiberene (ginger oil) and Betaine (sugar beet).

Key Features

- 10 chapters that highlight recent research cardiovascular medicine and pharmacology

- Covers knowledge about basic cardiovascular physiology, congestive heart failure treatment and the treatment of heart inflammation.

- Covers uses, benefits, and drawbacks of numerous rodent and non-rodent animal models for studying CVD

- Updates readers about 21st-century CRISPR-cas9 technology and its uses in CVD.

- Covers the significance of Indian Ayurvedic techniques on the cardiovascular system,

- Covers information about nutraceuticals for CVD therapy

- Includes experiments to evaluate 3 phytochemicals for the treatment of different heart diseases such as hypertension, obesity-cardiomyopathy and the mitigation of inflammatory cytokines in myocardial infarction.

This book is an informative resource for cardiologists, and researchers working in the field of cardiovascular pharmacology. It also helps readers to understand the benefits of herbal medications that are commonly available for consumption in homes.

Additive manufacturing or 3D printing is the construction of an object using CAD models. The technology for additive manufacturing s gaining traction in recent times due to its accessibility for both personal and industrial use, as well as its usefulness in quick prototyping (either of a whole object or its components) and meeting the needs of small commercial workloads.

Advances in Additive Manufacturing Processes informs readers about the breadth of 3D printing processes. Chapters cover the basic knowledge of additive techniques and their industrial applications with relevant examples. The improvements in each method and their recent technical achievements with practical experimental data are highlighted. The book presents eight types of 3D printing processes, covering a diverse range of technologies which represent the industry.

The contents also cover selected topics of relevance to additive manufacturing which include the formation of defects and factors that affect the mechanical properties of the additively manufactured components. Chapters also provide recent guidelines for adapting additive manufacturing processes to increase productivity and reduce manufacturing cost.

Advances in Additive Manufacturing Processes is a handy reference for scholars and professionals involved in manufacturing industries and process engineering as well as hobbyists who are interested in the current state-of-the-art in 3D printing.