Bøger udgivet af Arcler Press

The generative AI is especially powerful in several areas, such as text generation (product description, article writing), image and video generation (AI-generated pictures and videos for marketing industry), and voice and sound generation (for film industry). This book edition covers different topics of generative AI models, including: image generation techniques, video generation techniques, speech / voice generation techniques, and societal and ethical issues of these models.

Organic compounds are, at the most basic level, compounds that contain carbon and hydrogen. These compounds are called organic because they were once believed to have been derived from living things, but that is not necessarily the case. The organic compound is a large class of chemical compounds in which one or more carbon atoms are covalently linked to atoms of other elements, most commonly hydrogen, oxygen, or nitrogen. Some examples of organic compounds are carbohydrates, fats (lipids), proteins, and nucleic acids, which are the basis for the molecules of life. "Classification & Analysis of Organic Compounds" is a comprehensive book that describes basic concepts about the classification of organic compounds and how to do analysis of an organic compound. The book includes crystallization techniques, concepts of photochemistry, the chemistry of volatile organic compounds, electrochemistry, medicinal organic chemistry, enzymes, and their action. This book includes concepts about intermolecular interactions and their significance in detail.

Data structure and algorithms are two of the most important aspects of computer science. Data structure and algorithms help in understanding the nature of the problem at a deeper level and thereby a better understanding of the world. Learning data structure and algorithms will help you become a better programmer. This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, which makes their design and analysis accessible to all levels of readers. This book provides with an enjoyable introduction to the field of algorithms.

Biochemistry is the foundation for solving the complexity of life on earth. All living organisms on earth contains nucleic acids, lipids, carbohydrates, proteins, enzymes and hormones that are crucial for survival. Biochemistry plays essential role in understanding the mechanism, action and regulation of biomolecules in different metabolic pathways. Several analytical techniques are reported to characterize, analyse and quantify the biomolecules present in living organism. This book covers the diversity of biomolecules present in living organisms, their characterization techniques, clinical biochemistry and genetic information transfer process. This book has been designed to suit the knowledge and pursuit of the researcher and scholars and to empower them with various aspects of biochemistry so that they are updated with the information.

"The Use of Abstraction and Logic in Mathematics" is an edited book consisting of 16 contemporaneous open-access articles that are essentially devoted to mathematical logic research, from classical to non-classical logical systems, from algebraic logic to fuzzy logic. The book addresses the following mathematical logic topics: first-order and higher-order logic; as well as infinitary, description, modal; fixed-point, algebraic and fuzzy logic. This book also includes examples of practical applications of logical systems in link prediction and image processing tasks, as well as in the training of neural networks and artificial intelligence. The intended audience of this book is undergraduate and graduate students, as well as junior researchers. Familiarity with first-order and higher-order logics, as well as set theory, and algebra is essential to grasp the concepts and methods described in this book.

The introduction to engineering, and engineering as a profession has been illustrated in this book. It throws light on the basics of mechanical engineering, engineering materials and their applications. It also discusses the engineering communications and ethics, along with the various applications of engineering across various fields.

This book focuses on the creative elements of algorithmic design by delving into the phases involved in algorithm creation. The conceptual underpinnings of this creative process are analogous to the invention and development of mathematical theorems that result in the induction of combinatorial algorithms. Numerous issue examples are included in the book. It is intended to enhance readers' problem-solving abilities by imparting a grasp of the fundamental ideas behind algorithmic design. This book summarizes the most widely used computer algorithms and provides a comprehensive overview of algorithms and data structures for searching, sorting, and graph processing. The algorithms presented in this book represent a body of knowledge that has developed over the previous five decades and has become critical not just for professional programmers and computer scientists, but also for all students interested in mathematics, data science, and engineering. The reader of this book is meant to get knowledge about known ways for successfully resolving difficulties. They will become acquainted with various cutting-edge data structures and novel methods for utilizing data structures to improve the efficacy of algorithms. Because the book is virtually self-contained, it may be used as a course book, reference book, or self-study resource.

The needs of different drivers can be accommodated in the plug-in electric vehicles (EVs or electric cars) currently available in the market in a manner similar to the conventional vehicles which had varied kinds of technology available to them. This book takes the readers through various aspects and various types of electric vehicles. This book sheds light on the several characteristics of electric vehicles, battery, flywheels, capacitors, electric fuel, electric vehicle modeling and design considerations. This book has been designed to suit the knowledge and pursuit of the researcher and scholars and to empower them with various aspects, application, future, and trends of electric vehicles, so that they are updated with the information.

This book covers some introductory steps in using R programming language as a data science tool. The data science field has evolved so much recently with incredible quantities of generated data. To extract value from those data, one needs to be trained in the proper data science skills like statistical analysis, data cleaning, data visualization, and machine learning. R is now considered the centerpiece language for doing all these data science skills because it has many useful packages that not only can perform all the previous skills, but also, has additional packages that was developed by different scientists in diverse fields. These fields include, but are not limited to, business, marketing, microbiology, social science, geography, genomics, environmental science, etc. Furthermore, R is free software and can run on all major platforms: Windows, Mac Os, and UNIX/Linux. The first two chapters involve installing and using R and RStudio. RStudio is an IDE (integrated development environment) that makes R easier to use and is more similar to SPSS or Stata. Chapters 38 covers the different R objects and how to manipulate them including the very popular one, dataframes. Chapter 9 is about importing different files into your R working session like text or excel files. Chapters 10 and 11 are dealing with different tidyverse packages that can do interesting summaries of different dataframes including different types of data visualizations. In the last chapter, it introduces how functions are created in R along with some control structures and useful functions. In all these chapters, many examples along with different codes and outputs are given to help your understanding of this powerful programming language. I hope this book will be great addition to your future data analysis projects.