Practical Applications Of Machine Learning And Ai Medicine Environmental Science Transportation And Education
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Practical Applications Of Machine Learning And Ai Medicine Environmental Science Transportation And Education
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Author : Mzili, Toufik
language : en
Publisher: IGI Global
Release Date : 2025-02-24
Practical Applications Of Machine Learning And Ai Medicine Environmental Science Transportation And Education written by Mzili, Toufik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Computers categories.
Optimization, machine learning, and artificial intelligence are revolutionizing society, medicine, environmental science, transportation, and education. In medicine, AI-driven diagnostics and personalized treatments improve patient outcomes, while optimization streamlines resource allocation. Environmental science benefits from machine learning's ability to analyze complex datasets, enabling sustainable practices and climate predictions. In transportation, optimization enhances logistics and traffic flow, with AI powering autonomous vehicles and predictive maintenance. Across all areas, these technologies drive efficiency, innovation, and smarter decision-making. Practical Applications of Machine Learning and AI: Medicine, Environmental Science, Transportation, and Education provides deeper understanding of the complexities of optimization, machine learning and AI, examining their theoretical foundations. Furthermore, it contributes to the ongoing advancement of these fields, practical applications, and transformative potentials. Covering topics including Medical Image Segmentation, student performance prediction, and pothole detection, this book is an excellent resource for computer scientists, researchers, scholars, academicians, professionals, and more.
Optimization Machine Learning And Fuzzy Logic Theory Algorithms And Applications
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Author : Mzili, Toufik
language : en
Publisher: IGI Global
Release Date : 2025-02-20
Optimization Machine Learning And Fuzzy Logic Theory Algorithms And Applications written by Mzili, Toufik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
Optimization, machine learning, and fuzzy logic are fundamental in the field of computational intelligence, each contributing to solving complex problems across various domains. Optimization techniques focus on finding the best solutions to problems by improving efficiency and minimizing resources. Machine learning enables systems to learn from data, making predictions or decisions without being programmed. Fuzzy logic deals with uncertainty and imprecision, allowing for flexible decision-making processes. Together, these theories, algorithms, and applications solve challenges in fields such as engineering, finance, and healthcare, where traditional methods often fall short. The continued application and exploration of these disciplines may unveil new possibilities for advanced problem-solving and intelligent systems. Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications explores optimization techniques, fuzzy logic, and their integration with machine learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic understanding of these domains. This book covers topics such as disease detection, deep learning, and text analysis, and is a useful resource for engineers, data scientists, medical professionals, academicians, and researchers.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.
Industry 4 0 Key Technological Advances And Design Principles In Engineering Education Business And Social Applications
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Author : Sagaya Aurelia
language : en
Publisher: CRC Press
Release Date : 2024-08-21
Industry 4 0 Key Technological Advances And Design Principles In Engineering Education Business And Social Applications written by Sagaya Aurelia and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-21 with Technology & Engineering categories.
This book offers an in-depth look at Industry 4.0’s applications and provides a conceptual framework for design principles and easy implementation. The book touches on the impact of Industry 4.0 and also examines the key technological advances and potential economic and technical benefits through case studies featuring real-world implementations. Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications discusses the impact of Industry 4.0 and workforce transformation. The book examines the key technological advances that support Industry 4.0 and examines their potential economic and technical benefits through case studies. It covers the connection Industrial 4.0 has with IT and communication technologies and demonstrates the technological advancements and how to use their benefits towards and through examples of real-world applications. This book offers a conceptual framework and road map for those making decisions as they go through the next stage of transformation. This book mainly targets academicians, professionals, business professionals, start-up companies, and researchers at undergraduate, postgraduate, and doctoral levels.
Explainable Artificial Intelligence Xai In Healthcare
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Author : Utku Kose
language : en
Publisher: CRC Press
Release Date : 2024-04-23
Explainable Artificial Intelligence Xai In Healthcare written by Utku Kose and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Medical categories.
This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications. Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable and reliable from the end user's perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of healthcare field. The authors offer different types of solutions, evaluation methods and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine and even drug discovery. They also point out the importance of user perspectives and value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare. This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.
Deep And Reinforcement Learning Models And Algorithm
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Author : Dr.R.Jayakarthik
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-04-02
Deep And Reinforcement Learning Models And Algorithm written by Dr.R.Jayakarthik and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Computers categories.
Dr.R.Jayakarthik, Associate Professor and Head, Department of Computational Intelligence, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. Dr.S.Rukmani Devi, Assistant Professor, Senior Grade, Department of Computer Science, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Deemed to be University, Chennai, Tamil Nadu, India. Dr.B.Geetha, Associate Professor, Department of Computer Science, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. Dr.Krishna Priya, Professor, Department of Computer Science, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Real World Applications Of Ai Innovation
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Author : Mallik, Saurav
language : en
Publisher: IGI Global
Release Date : 2024-12-02
Real World Applications Of Ai Innovation written by Mallik, Saurav and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.
Artificial intelligence (AI) innovation works to transform various sectors, driving efficiency, enhancing decision-making, and creating new opportunities for growth. From healthcare and finance to agriculture and entertainment, real-world applications of AI are demonstrating its potential to solve complex problems and improve everyday life. As these technologies continue to evolve, further exploration into the integration of AI into different fields may allow for a more efficient, sustainable, and innovative future. Real-World Applications of AI Innovation explores the latest advancements and practical applications of artificial intelligence across various domains. It delves into cutting-edge AI methodologies, algorithms, and technologies, providing readers with a deep understanding of the current landscape and future trends in AI research and development. This book covers topics such as smart farming, machine learning, and deep neural networks, and is a useful resource for computer engineers, scientists, medical professionals, agriculturalists, educators, researchers, academicians, and business owners.
Harnessing High Performance Computing And Ai For Environmental Sustainability
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Author : Naim, Arshi
language : en
Publisher: IGI Global
Release Date : 2024-05-15
Harnessing High Performance Computing And Ai For Environmental Sustainability written by Naim, Arshi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Technology & Engineering categories.
The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.