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Free Download Artificial Intelligence in Accounting and Auditing: Accessing the Corporate Implications
English | 2024 | ISBN: 3031713702 | 348 Pages | PDF EPUB (True) | 10 MB
First, the authors review and discuss the literature to summarize and systematize extant research on digitalization in accounting. Second, case studies are included to illustrate the potential impact of AI in business contexts in terms of opportunities and challenges. Based on these, the book explores how digitalization is influencing the accounting practice and what the most important avenues are for future research on digitalization in accounting, and will be of interest to researchers, students, and practitioners of financial technology, accounting, and risk management.

Free Download Artificial Intelligence for Learning: Using AI and Generative AI to Support Learner Development by Donald Clark
English | May 28, 2024 | ISBN: 1398615668 | 312 pages | MOBI | 1.29 Mb
With Artificial Intelligence (AI) creating huge opportunities for learning and employee development, how can learning professionals best implement the use of AI into their environment?

Free Download Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer
English | 2024 | ISBN: 3031696654 | 158 Pages | PDF EPUB (True) | 9.4 MB
This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyze medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a comprehensive overview of cervical cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in cervical cells and tissue, enabling the detection of abnormal cells and precancerous changes that may indicate the presence of cervical cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for cervical cancer screening, including the analysis of Pap smear and liquid-based cytology images. This book is an essential read for healthcare professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.

Free Download Artificial Intelligence and Cyber Security in Industry 4.0 (Advanced Technologies and Societal Change) by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi
English | June 14, 2023 | ISBN: 9819921147 | 381 pages | MOBI | 14 Mb
This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.

Free Download Artificial Intelligence and Causal Inference
English | 2022 | ISBN: 0367859408 | 394 Pages | EPUB (True) | 4 MB
Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference. Despite significant progress in AI, a great challenge in AI development we are still facing is to understand mechanism underlying intelligence, including reasoning, planning and imagination. Understanding, transfer and generalization are major principles that give rise intelligence. One of a key component for understanding is causal inference. Causal inference includes intervention, domain shift learning, temporal structure and counterfactual thinking as major concepts to understand causation and reasoning. Unfortunately, these essential components of the causality are often overlooked by machine learning, which leads to some failure of the deep learning. AI and causal inference involve (1) using AI techniques as major tools for causal analysis and (2) applying the causal concepts and causal analysis methods to solving AI problems. The purpose of this book is to fill the gap between the AI and modern causal analysis for further facilitating the AI revolution. This book is ideal for graduate students and researchers in AI, data science, causal inference, statistics, genomics, bioinformatics and precision medicine.

Free Download Artificial Intelligence Techniques in Smart Agriculture
English | 2024 | ISBN: 9819758777 | 309 Pages | PDF EPUB (True) | 60 MB
This edited volume explores the integration of artificial intelligence to improve crop production. It addresses the critical need for intelligent crop management in light of the world's escalating population. Encompassing a spectrum of technologies, including computer vision, image processing, soft computing, machine learning, and deep learning, the book explores advancements in decision-making systems. It integrates data science methodologies, Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, timely, and cost-effective solutions to agricultural challenges, ultimately enhancing both the quality and quantity of crop yields. The book empowers its audience to direct their efforts towards designing models and prototypes that benefit society and the environment, making it an indispensable resource for those eager to shape the future of intelligent agriculture.

Free Download Artificial Intelligence Platform For Molecular Targeted Therapy: A Translational Science Approach
English | 2021 | ISBN: 981123230X | 469 Pages | PDF (True) | 54 MB
In the era of big biomedical data, there are many ways in which artificial intelligence (AI) is likely to broaden the technological base of the pharmaceutical industry. Cheminformatic applications of AI involving the parsing of chemical space are already being implemented to infer compound properties and activity. By contrast, dynamic aspects of the design of drug/target interfaces have received little attention due to the inherent difficulties in dealing with physical phenomena that often do not conform to simplifying views.This book focuses precisely on dynamic drug/target interfaces and argues that the true game change in pharmaceutical discovery will come as AI is enabled to solve core problems in molecular biophysics that are intimately related to rational drug design and drug discovery.Here are a few examples to convey the flavor of our quest: How do we therapeutically impair a dysfunctional protein with unknown structure or regulation but known to be a culprit of disease? In regards to SARS-CoV-2, what is the structural impact of a dominant mutation?, how does the structure change translate into a fitness advantage?, what new therapeutic opportunity arises? How do we extend molecular dynamics simulations to realistic timescales, to capture the rare events associated with drug targeting in vivo? How do we control specificity in drug design to selectively remove side effects? This is the type of problems, directly related to the understanding of drug/target interfaces, that the book squarely addresses by leveraging a comprehensive AI-empowered approach.

Free Download Artificial Intelligence: Machine Learning, Convolutional Neural Networks and Large Language Models (Intelligent Computing, 1) by Leonidas Deligiannidis, George Dimitoglou, Hamid Arabnia
English | August 6, 2024 | ISBN: 3111344002 | 444 pages | MOBI | 9.27 Mb
Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of computer science methods that incorporate AI across many domains. It covers techniques such as Machine Learning (ML), Convolutional Neural Networks (CNN), Deep Learning (DL), and Large Language Models (LLM) to tackle complex issues and overcome various challenges.

Free Download Thomas Ming Swi Chang, "Artificial Cells: Biotechnology, Nanomedicine, Regenerative Medicine, Blood Substitutes, Bioencapsulation, and Cell Stem Cell Therapy"
English | 2007 | pages: 482 | ISBN: 9812705767, 9812707786 | PDF | 4,7 mb
This is the first book that provides a comprehensive review of the entire area of artificial cells. The author, a pioneer of the field, invented the first artificial cells some 50 years ago and has continued to carry out active research in this field. Since then, there have been explosive research activities around the world on artificial cells, especially in fields related to biotechnology, nanomedicine, cell therapy, blood substitutes, drug delivery and others. However, instead of the term "artificial cells," many authors use other terminologies such as blood substitutes, bioencapsulation, liposomes, nanoparticles and so on. Furthermore, papers in this highly interdisciplinary area are published in numerous journals specializing in chemistry, medicine, surgery, bioengineering and others, while books in this area are mostly multi-authored, describing very specific and narrow areas. As a result, any meaningful literature search for a complete idea of the present status of the whole field of artificial cells is impossible.This monograph is written to fill this gap by including all those areas in artificial cells that are disguised under different terminologies. Each chapter begins with a detailed overview, followed by detailed examples of the author's own research and a full description of his methods and procedures. Readers interested in a detailed overview of the whole area can read from cover to cover, omitting the methods section at the end of each chapter; while those entering this area of research will find the detailed methods and procedures very useful.

Dl4All - Download free For All: software and educational resource.

Artificial Intelligence in Accounting and Auditing

Artificial Intelligence for Learning Using AI and Generative AI to Support Learner Development

Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer

Artificial Intelligence and Cyber Security in Industry 4.0 (Advanced Technologies and Societal Change)

Artificial Intelligence and Causal Inference

Artificial Intelligence Techniques in Smart Agriculture

Artificial Intelligence Platform For Molecular Targeted Therapy

Artificial Intelligence Machine Learning, Convolutional Neural Networks and Large Language Models

Artificial Cells

Artenvielfalt im naturbelassenen Garten, 2. Auflage