Bentham Science Publishers

Machine learning is a subfield of artificial intelligence, broadly defined as a machine's capability to imitate intelligent human behavior. Like humans, machines become capable of making intelligent decisions by learning from their past experiences. Machine learning is being employed in many applications, including fraud detection and prevention, self-driving cars, recommendation systems, facial recognition technology, and intelligent computing. This book helps beginners learn the art and science of machine learning. It presens real-world examples that leverage the popular Python machine learning ecosystem,

The topics covered in this book include machine learning basics: supervised and unsupervised learning, linear regression and logistic regression, Support Vector Machines (SVMs). It also delves into special topics such as neural networks, theory of generalisation, and bias and fairness in machine learning. After reading this book, computer science and engineering students - at college and university levels - will receive a complete understanding of machine learning fundamentals and will be able to implement neural network solutions in information systems, and also extend them to their advantage.

The definition of occupational health hazards is constantly changing over time as technology advances and as the awareness of work place safety issues continues to grow. Introduction to Occupational Health Hazards focuses on work-related hazards which have evolved with the advent of more recent professions. The book introduces readers to the basic concept of occupational hazards. From this starting point, readers are introduced to the types of medical disorders that can occur as a result of occupational hazards, such as cancer and neurological disorders. The next section explains health hazards to medical and laboratory staff. The book concludes with a chapter that explains mental health issues (stress and psychosocial factors) that are related to occupational health – which is a recent addition to the spectrum of health risks in the working environment. As a handbook, the book provides information about occupational health risks for science and medical students along with professionals working in the health care and laboratory industries, respectively.

How do neurons work in processes that guide thought and action? This eBook answers this question by presenting an accurate analysis of all the physico-chemical phenomena occurring between interconnected neurons. Once researchers have this information, they can then build a functional catalog of neurons and understand the working behind the simplest physiological elements and these can hopefully be replicated into devices. Microscopic and macroscopic experimental results can assist in the study of sensorial analysis, instincts and motor control of skeletal muscles. The book also presents a description of memory at the cellular level and gives insights about the learning process in living systems. Such research has increased our understanding of the mechanisms of animal behaviors from the honeybee to the dog. In human beings, the efficiency of the same neural mechanisms overtakes a threshold when language allows building new abstract signals from previous abstract signals. Introduction to the Neural Basis of Action and Thought demonstrates to readers how physiological processes allow us to recall words and generate sentences and how these processes support abstract thought, action and self awareness. This book is a useful primer for anyone interested in cognitive sciences and related research.

This textbook is a primer for students on statistics. It covers basic statistical operations, an introduction to probability, distributions and regression. The book is divided into a series of 10 chapters covering a basic introduction to common topics for beginners. The goal of the book is to provide a sufficient understanding of how to organize and summarize datasets through descriptive and inferential statistics for good decision-making. A chapter on ethics also informs readers about best practices for using statistics in research and analysis. Topics covered: 1. Introduction to Statistics 2. Summarizing and Graphing 3. Basic Concepts of Probability 4. Discrete Random Variables 5. Continuous Random Variables 6. Sampling Distributions 7. Estimation 8. Hypothesis Testing 9. Correlation and Regression 10. Ethics

Ion Implantation and Activation presents the derivation process of related models in a comprehensive step by step manner starting from the fundamental processes and moving up into the more advanced theories.

Ion implantation can be expressed theoretically as a binary collision, and, experimentally using various mathematical functions. Readers can understand how to establish an ion implantation database by combining theory and experimental data. The models described in this ebook can be directly related to practical experimental data with various approaches: physical, empirical or experimental. Readers can also understand the approximations, and assumptions to reach these models. The redistribution and activation of implanted impurities during subsequent thermal processes are also important subjects and they are described in a broad manner with the combination of theory and experiment, even though many of the models are not well established. Chapters in the book explain, in depth, various topics such as Pearson functions, LSS theory, Monte Carlo simulations, Edgeworth Polynomials and much more.

This book provides advanced engineering and physics students and researchers with complete and coherent coverage of modern semiconductor process modeling. Readers can also benefit from this volume by acquiring the necessary information to improve contemporary process models by themselves.

Ion Implantation and Activation presents the derivation process of related models in a comprehensive step by step manner starting from the fundamental processes and moving up into the more advanced theories.

Ion implantation can be expressed theoretically as a binary collision, and, experimentally using various mathematical functions. Readers can understand how to establish an ion implantation database by combining theory and experimental data. The models described in this ebook can be directly related to practical experimental data with various approaches: physical, empirical or experimental. Readers can also understand the approximations, and assumptions to reach these models. The redistribution and activation of implanted impurities during subsequent thermal processes are also important subjects and they are described in a broad manner with the combination of theory and experiment, even though many of the models are not well established. Chapters in the book explain, in depth, various topics such as Pearson functions, LSS theory, Monte Carlo simulations, Edgeworth Polynomials and much more.

This book provides advanced engineering and physics students and researchers with complete and coherent coverage of modern semiconductor process modeling. Readers can also benefit from this volume by acquiring the necessary information to improve contemporary process models by themselves.

Ionic Liquids: Eco-friendly Substitutes for Surface and Interface Applications explores the growing interest in utilizing ionic liquids as sustainable alternatives for various industrial and biological applications. With their unique properties and environmentally friendly nature, ionic liquids have emerged as promising substitutes for toxic and volatile solvents, offering significant advantages in surface and interface chemistry.

This book is divided into two parts: Part 1 covers the basics of ionic liquids, their surface/interface properties, and interactions with metallic surfaces. Part 2 focuses on the wide range of surface and interface applications of ionic liquids, including wastewater treatment, corrosion protection, catalysis, separation processes, medical devices, and sensing applications.

Key Features:

A complete book fully dedicated to the surface and interface chemistry of ionic liquids with seventeen chapters

Covers fundamentals, recent progress, and applications in surface/interface chemistry

Presents up-to-date research and interdisciplinary insights

Includes relevant references and resources for further exploration

This is a valuable reference for scientists and engineers who want to learn about ionic liquids' chemistry and applications

The story of the unidentified serial killer in London's Whitechapel district - known as Jack The Ripper – has been the subject of interest to researchers for over 120 years. The name ascribed to the individual was from a letter sent to the Central News Agency in London on 27 September 1888. Initially thought to be a hoax, the letter gained much publicity when the writer's promise of clipping a lady's ears off manifested after the discovery of the body of Catherine Eddowes with an ear lobe severed, 3 days after the letter was received. Several letters followed this and borrowed elements from the earlier correspondences. Jack the Writer: A Verbal & Visual Analysis of the Ripper Correspondence is a different approach to the subject of 'Ripperology'. In this book, the author, Dirk Gibson, provides a quantitative content analysis of the letters. Gibson first grounds this study of the Jack the Ripper letters in an analysis of the legitimacy of the documents. The dialectic method is used to carefully consider the authenticity of these letters. The largest extant collection of Jack the Ripper letters is provided in this book, approximately 250 in number.

The most significant part of this book is a trio of content analyses quantifying the themes, subjects, people and linguistic mannerisms mentioned in the Ripper letters; the analyses describe precisely what was and was not in these missives. The letters are described and presented in the context of their content, with the valid letters presented in chronological order. Jack the Writer: A Verbal & Visual Analysis of the Ripper Correspondence will give readers, whether generally interested in the ripper correspondence or undertaking courses in criminology or abnormal psychology, a glimpse of the cultural context of a serial murderer's communication with the public and the press in Victorian times.

• Computing with Words and Granular Computing
• Extensions of fuzzy sets: intuitionistic fuzzy sets, hesitant fuzzy sets, neutrosophic sets, spherical fuzzy sets.
• Fuzzy Clustering
• Fuzzy Control
• Fuzzy Data Analysis, Fuzzy Clustering, Classification and Pattern Recognition
• Fuzzy Database
• Fuzzy Decision Making and Decision Support Systems
• Fuzzy Expert System
• Fuzzy Logic Systems
• Fuzzy Logic Techniques and Algorithms
• Fuzzy Mathematical Programming
• Fuzzy Mathematics
• Fuzzy Measure and integral
• Fuzzy Neural Systems, Neuro-Fuzzy Systems
• Fuzzy Pattern Recognition
• Fuzzy Process Control
• Fuzzy Reasoning System
• Fuzzy Sets in Bioinformatics
• Fuzzy System Applications in Computer Vision
• Fuzzy System Applications in E-commerce
• Fuzzy System Applications in Human-Machine Interface
• Fuzzy System Applications in Robotics, Sensors, Fuzzy Hardware and Architectures
• Fuzzy System in Multimedia and Web-Based Applications
• Fuzzy Systems Design and Optimization
• Fuzzy Systems Modeling and Identification
• Fuzzy Systems with Big Data and Cloud Computing, Fuzzy Analytics and Visualization
• Fuzzy-Rule Based System
• Hybrid Fuzzy Systems (fuzzy-neuro-evolutionary-rough)
• Possibility Theory and Imprecise Probabilit