The Artificial Intelligence And Machine Learning Blueprint Foundations Frameworks And Real World Applications

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The Artificial Intelligence And Machine Learning Blueprint Foundations Frameworks And Real World Applications
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Author : Priyambada Swain
language : en
Publisher: Deep Science Publishing
Release Date : 2025-08-06
The Artificial Intelligence And Machine Learning Blueprint Foundations Frameworks And Real World Applications written by Priyambada Swain 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 2025-08-06 with Computers categories.
In the current era of data-centric transformation, Artificial Intelligence (AI) and Machine Learning (ML) are influencing organizational strategies and operations. The AI and Machine Learning Blueprint serves as a guide connecting academic concepts with industry applications. It is intended for both students seeking basic knowledge and professionals interested in deploying scalable AI systems. The book covers core mathematical principles relevant to AI, including linear algebra, probability, statistics, and optimization, and provides an overview of classical machine learning algorithms, neural networks, and reinforcement learning. Concepts are illustrated with practical examples, Python code, and case studies from sectors such as healthcare, finance, cybersecurity, natural language processing, and computer vision. Operational considerations are also addressed, with chapters on MLOps, model deployment, explainable AI (XAI), and ethics. The text concludes with information on emerging topics including generative AI, federated learning, and artificial general intelligence (AGI). With a blend of theoretical depth and practical relevance, this book is an essential blueprint for mastering AI and ML in today’s intelligent systems landscape.
Emerging Science And Technology For Human Well Being
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Author : Syafiqah Saidin
language : en
Publisher: Springer Nature
Release Date : 2025-08-05
Emerging Science And Technology For Human Well Being written by Syafiqah Saidin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-05 with Technology & Engineering categories.
This book covers advances in science and technologies promoting human health and/or enhancing everyday life. It discusses new methods to improve monitoring, therapy or rehabilitation, advances in telemedicine, machine learning applications in image processing, advanced materials for drug delivery, and a wide range of issues related to human-computer interaction, AI applications, sport technologies and technology safety. Based on the International Human-Centered Conference 2024 (iHumEnTech 2024), held on November 28 - 29, 2024, in Senai, Johor, Malaysia, this book offers a timely reference for both academics and professionals in the broad field of biomedical engineering, health technology and human-technology interaction.
Artificial Intelligence Empowered Bio Medical Applications
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Author : Dimitrios P. Panagoulias
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
Artificial Intelligence Empowered Bio Medical Applications written by Dimitrios P. Panagoulias and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.
The book delves into advancements in personalized medicine, highlighting the transition from generalized treatments to tailored strategies through AI and machine learning. It first emphasizes the role of biomarkers in training predictive models and neural networks, enhancing disease diagnosis and patient management. It then explores AI-driven healthcare systems, particularly the use of microservices to improve scalability and management. Additionally, it examines regulatory challenges, the need for AI explainability, and the PINXEL framework, which defines explainability requirements using the technology acceptance model (TAM) and the diffusion of innovation theory (DOI). Furthermore, the book evaluates the capabilities of large language models, including ChatGPT and GPT-4V, in medical applications, with a focus on diagnosis and structured assessments in general pathology. Lastly, it introduces an AI-powered system for primary care diagnosis that integrates language models, machine learning, and rule-based systems. The interactive AI assistants “Med|Primary AI assistant” and “Dermacen Analytica” leverage natural language processing, image analysis, and multi-modal AI to enhance patient interactions and provide healthcare professionals with high-accuracy, personalized diagnostic support. By taking a holistic approach, the book underscores the integration of AI into healthcare, aiming to support medical professionals in patient diagnosis and management with precision and adaptability.
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing
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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-15
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing written by Amit Kumar Tyagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Computational Neuropharmacology
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Author : Bhupendra Prajapati
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-18
Computational Neuropharmacology written by Bhupendra Prajapati and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Science categories.
The book gives comprehensive insights into the cutting-edge intersection of computational methods and neuropharmacology, making it an essential resource for understanding and advancing medication for neurological and psychiatric disorders. Computational Neuropharmacology is an in-depth exploration of the convergence of computational methods with neuropharmacology, a science concerned with understanding pharmacological effects on the nervous system. This volume explores the most recent breakthroughs and potential advances in computational neuropharmacology, providing an extensive overview of the computational tools that are transforming medication discovery and development for neurological and psychiatric illnesses. Fundamental principles of computational neuropharmacology, descriptions of molecular-level interactions and their consequences for modern neuropharmacology, and an introduction to theoretical neuroscience are highlighted throughout this resource. Additionally, this study addresses computational attitudes in counseling psychology to improve therapeutic procedures through data-driven insights. Computational psychiatry uses computational technologies to bridge the gap between the molecular basis and clinical symptoms of psychiatric diseases. This volume covers computational approaches to drug discovery in neurohumoral transmission and signal transduction, Parkinson’s disease, epilepsy, and Alzheimer’s disease, and the use of molecular docking and machine learning in drug development for neurological disorders. It also discusses the use of computational methods to uncover potential treatments for autism spectrum disorder, depression, and anxiety. Audience This book is a valuable resource for computer scientists, engineers, researchers, clinicians, and students, providing a detailed understanding of the computational tools that are changing the developing field of neuropharmacology, leading the future of medication discovery and development for neurological and psychiatric illnesses by combining modern computational approaches with neuropharmacological research.
The Ai Shield Defending Against Zero Day Threats With Intelligent Ids
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Author : Mr. Amit Banwari Gupta, Mr. Mohammad Majharul Islam Jabed
language : en
Publisher: QUILL TECH PUBLICATIONS
Release Date : 2025-05-15
The Ai Shield Defending Against Zero Day Threats With Intelligent Ids written by Mr. Amit Banwari Gupta, Mr. Mohammad Majharul Islam Jabed and has been published by QUILL TECH PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with categories.
"The AI Shield: Defending Against Zero-Day Threats with Intelligent IDS" is a comprehensive guide that explores the integration of artificial intelligence into cybersecurity systems, specifically focusing on the detection and prevention of zero-day threats using intelligent intrusion detection systems (IDS). The book begins by establishing the foundational concepts of AI, machine learning, and cybersecurity, then progresses to discuss various IDS architectures and their limitations in handling modern, sophisticated cyberattacks. It delves deeply into the role of machine learning and deep learning models in enhancing threat detection capabilities, offering practical insights into model development, data handling, and evaluation techniques. Central to the book is the concept of "The AI Shield," a multi-layered, adaptive, and autonomous defense framework that leverages real-time analytics and self-learning mechanisms to identify and respond to emerging threats. Concluding with case studies, deployment strategies, and a discussion on ethical challenges and future trends, the book serves as both a technical reference and strategic roadmap for researchers, developers, and cybersecurity professionals aiming to build next-generation defense systems.
The Smart Iot Blueprint Engineering A Connected Future
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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2024-08-13
The Smart Iot Blueprint Engineering A Connected Future written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Computers categories.
This book offers a comprehensive exploration of the Smart Internet of Things (IoT) and its profound impact on our interconnected world. From its foundational principles to cutting-edge applications, "Innovative Integration: Crafting the World with Smart IoT" is a definitive guide to understanding and harnessing the power of IoT technologies. In this era of digital transformation, IoT has emerged as a transformative force, revolutionizing industries, urban landscapes, and our daily lives. This book dives deep into the core concepts of IoT, unraveling the intricate web of sensors, networks, and protocols that underpin this technology. Readers will gain a clear understanding of how data intelligence drives IoT, making it a driving force behind automation, efficiency, and sustainability. One of the critical aspects addressed is security and privacy in the IoT ecosystem—a concern that resonates with individuals, businesses, and policy-makers alike. We delve into the ethical dimensions of IoT, exploring the responsible use of data in an increasingly connected world. Through a series of real-world case studies, we showcase the practical applications of IoT, from smart homes and cities to industrial settings and healthcare. The book equips readers with the knowledge needed to navigate this transformative landscape, empowering them to make informed decisions in their professional and personal endeavors. "IoT and the Horizon of Integration" provides a glimpse into the future, offering insights into emerging trends and predictions in the world of IoT. It is a must-read for academics, researchers, and industry professionals in computer science, engineering, and data analytics. Additionally, it serves as a valuable resource for policy-makers, urban planners, and graduate-level students seeking to grasp the potential and challenges of IoT.
Multi Omics Technology In Human Health And Diseases
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Author : Muzafar A Macha
language : en
Publisher: Elsevier
Release Date : 2025-03-17
Multi Omics Technology In Human Health And Diseases written by Muzafar A Macha and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Science categories.
Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic provides a way forward in understanding complete disease etiology and prognosis. This unique book gives a comprehensive understanding of multi-omics technology and its applications in understanding complex human health and disease and not only introduces the technology, but also its use for biomarker identification, drug discovery, and disease prognostication. A comprehensive understanding of human health and diseases, particularly cancer, requires knowledge of molecular biomarkers at a multi-omics level, including genome, epigenome, transcriptome, proteome, and metabolome, which is meagerly available or highly lacking among the students and scientific researchers. This book covers all the aspects of multi-omics technology and how this technology can be implemented into scientific research and discovery.Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic is the first resource to present the latest information on currently utilized multi-omics technology for big data interpretation and their applications in understanding the complex human pathobiology. This is the perfect resource for researchers, academia, students, as well as the industrial audience. - Presents the most recent advancements in multiomics technology for elucidating complex human pathobiology. - Offers comprehensive insights into understanding disease etiology and prognosis. - Introduces the principles of multiomics technology and its applications in biomarker identification, drug discovery, and disease prognostication. - Explores the tools and methodologies for integrating and interpreting multiomics data sets. - Introduces multiomics databases and visualization web portals. - Provides up-to-date information on the role of multiomics technology in understanding intricate human pathobiology.
Harnessing Ai And Machine Learning For Precision Wellness
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Author : Ghosh, Joyeta
language : en
Publisher: IGI Global
Release Date : 2025-03-05
Harnessing Ai And Machine Learning For Precision Wellness written by Ghosh, Joyeta and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.
Advancements in artificial intelligence and machine learning are reshaping healthcare by enabling highly personalized wellness strategies tailored to individual needs. By analyzing vast datasets, including genetic, biometric, and lifestyle information, these technologies can predict disease risks, optimize treatment plans, and recommend proactive health interventions. Precision wellness moves beyond traditional healthcare models, offering dynamic, adaptive solutions that evolve with new scientific discoveries. This shift has the potential to reduce healthcare costs, alleviate the burden on medical systems, and improve overall health outcomes. However, ethical considerations, data privacy, and equitable access remain crucial challenges in realizing the full benefits of AI-driven healthcare. Harnessing AI and Machine Learning for Precision Wellness demystifies the complex world of AI and machine learning in healthcare, exploring how these technologies are being applied across various aspects of wellness. It delves into the mathematical foundations that underpin these technologies, examines real-world case studies, and discusses the ethical considerations that must guide their implementation. This book covers topics such as mathematics, mental health, and preventive care, and is a useful resource for medical and healthcare professionals, computer engineers, data scientists, psychologists, academicians, and researchers.
Donald Knuth Father Of Algorithm Analysis
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Author : Sebastian Hale
language : en
Publisher: Shubham
Release Date :
Donald Knuth Father Of Algorithm Analysis written by Sebastian Hale and has been published by Shubham this book supported file pdf, txt, epub, kindle and other format this book has been release on with Biography & Autobiography categories.
Author of The Art of Computer Programming, Knuth systematized algorithm analysis. His precision and innovations continue to guide computer science education and theory.