Applied Computer Vision And Soft Computing With Interpretable Ai
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Applied Computer Vision And Soft Computing With Interpretable Ai
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Author : Swati V. Shinde
language : en
Publisher: CRC Press
Release Date : 2023-10-05
Applied Computer Vision And Soft Computing With Interpretable Ai written by Swati V. Shinde and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-05 with Computers categories.
This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: Covers a variety of deep learning architectures useful for computer vision tasks Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem Addresses the different issues and further research opportunities in computer vision and soft computing Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain Considers recent real word problems and the prospective solutions to these problems This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.
Proceedings Of 4th International Conference On Machine Learning Advances In Computing Renewable Energy And Communication
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Author : Anuradha Tomar
language : en
Publisher: Springer Nature
Release Date : 2024-12-22
Proceedings Of 4th International Conference On Machine Learning Advances In Computing Renewable Energy And Communication written by Anuradha Tomar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-22 with Computers categories.
This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2023), held in Glocal University, Saharanpur, Uttar Pradesh, India, during 28–29 November 2023. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.
Artificial Intelligence
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Author : Leonidas Deligiannidis
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-08-05
Artificial Intelligence written by Leonidas Deligiannidis and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-05 with Computers categories.
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.
Harnessing Generative Ai
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Author : N. Gayathri
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-09
Harnessing Generative Ai written by N. Gayathri 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 2025-07-09 with Computers categories.
This book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration. Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. This volume provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, and audio, that closely mimics human creativity and intelligence. Readers will gain valuable insights into the fundamentals of generative AI, innovative applications, ethical and social considerations, interdisciplinary insights, and future directions of this invaluable emerging technology. Generative AI: Disruptive Technologies for Innovative Applications is an indispensable resource for researchers, practitioners, and anyone interested in the transformative potential of generative AI in revolutionizing industries, unleashing creativity, and pushing the boundaries of what’s possible in artificial intelligence. Audience AI researchers, industry professionals, data scientists, machine learning experts, students, policymakers, and entrepreneurs interested in the innovative field of generative AI.
Hypergraph And Superhypergraph Theory With Applications
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Author : Takaaki Fujita
language : en
Publisher: Infinite Study
Release Date : 2025-12-01
Hypergraph And Superhypergraph Theory With Applications written by Takaaki Fujita and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-01 with Mathematics categories.
Hypergraphs generalize this framework by allowing hyperedges that connect more than two vertices. Superhypergraphs further enrich the model through iterated powerset constructions, capturing hierarchical and self-referential structures among hyperedges. An (𝑚, 𝑛)-SuperHyperGraph is a mathematical structure in which each vertex corresponds to an (𝑚, 𝑛)-superhyperfunction defined on a base set, while the hyperedges group such functions together to represent higher-order relationships and contextual connections. Systematic research on SuperHyperGraphs is still relatively limited compared with the extensive literature on graphs and hypergraphs. To help bridge this gap, this book presents a survey of fundamental and advanced concepts related to SuperHy-perGraphs. Our aim is twofold: (i) to increase the visibility and accessibility of SuperHyperGraph theory and thereby stimulate further research, and (ii) to deepen the mathematical understanding of their structures among researchers and practitioners who work with graph- and hypergraph-based models.
Integrating Ai And Machine Learning In Advancing Patient Care Bridging Innovations In Mental Health And Cognitive Neuroscience
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Author : Salil Bharany
language : en
Publisher: Frontiers Media SA
Release Date : 2025-10-29
Integrating Ai And Machine Learning In Advancing Patient Care Bridging Innovations In Mental Health And Cognitive Neuroscience written by Salil Bharany and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-29 with Medical categories.
In the realm of healthcare, artificial intelligence (AI), machine learning (ML), and advanced sensor technologies which are spearheading the enhancement of patient management systems. These technologies facilitate precise diagnostics, tailor treatments to individual needs, and enable continuous health monitoring to advance patient care especially in mental health and cognitive neuroscience. Innovations like AI-enhanced clinical decision support systems aid healthcare professionals in refining decision-making processes. Meanwhile, machine learning models are increasingly used for their superior predictive accuracy in medical diagnostics, and smart healthcare devices permit ongoing observation, which is crucial for early disease intervention and chronic condition management. However, amidst these advancements, issues such as data privacy, ethical use of AI, and the implications of automated decisions form the core of ongoing debates. Mental health disorders, including anxiety, Alzheimer's, depression, Epilepsy, schizophrenia, and bipolar disorder, represent a significant portion of the global health burden, affecting millions of individuals worldwide. The complexity of these conditions often necessitates multi-faceted approaches for accurate diagnosis and effective treatment. Traditional mental health assessment methods are frequently subjective and may not capture the full range of symptoms experienced by patients. This gap creates a pressing need for innovative solutions that can provide more objective and nuanced insights into patient conditions and AI and ML offer transformative potential in this context. By harnessing vast amounts of data generated from clinical assessments, patient histories, and neuroimaging studies, AI can identify patterns that may elude human observers. Machine learning algorithms can be trained to recognize early signs of mental health disorders, potentially allowing for interventions before symptoms escalate. Furthermore, the integration of AI-driven technologies into therapeutic practices can lead to personalized treatment plans tailored to the unique needs of each patient. In parallel, cognitive neuroscience explores the biological underpinnings of mental health, focusing on the relationships between brain function, behavior, and mental processes. Advances in this field provide critical insights that can enhance the development of AI models, allowing for more accurate simulations of cognitive processes and better-informed therapeutic strategies. By integrating AI and ML and brain-computer interfaces with cognitive neuroscience, researchers and clinicians can develop tools that not only advance understanding but also translate findings into practical applications in mental health care. To further this field's expansion into everyday clinical practice, we welcome contributions that delve into: • AI and machine learning in enhancing clinical decision support systems (CDSS), • Healthcare sensors in personalized Mental Health Management and remote patient monitoring, • Deep Learning Applications in Neuroimaging and Mental Health Diagnostics: • The use of smart wearables in managing Mental Health • Addressing Ethical, Regulatory, and Practical Challenges in AI Implementation in Mental Health • AI in Predictive Analytics for Mental Health Interventions. •Cognitive Neuroscience and AI for Understanding Mental Health Disorders •Teletherapy and AI-Enhanced Virtual Mental Health Care •Natural Language Processing in Analyzing Mental Health Data •Training Mental Health Professionals on AI Utilization Submissions may include Original Research, Comprehensive Reviews and Case Studies, offering novel methodologies, showcasing real-world applications, or presenting critical insights into current challenges and future possibilities. Contributions that merge perspectives across healthcare, AI, data science, and ethics are particularly desirable to ensure a balanced advancement that prioritizes patient safety, data integrity, and equitable access to technological innovations in healthcare.
Next Generation Strategies For Crop Improvement
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Author : Yogesh Ahlawat
language : en
Publisher: Springer Nature
Release Date : 2025-09-30
Next Generation Strategies For Crop Improvement written by Yogesh Ahlawat and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Science categories.
This edited volume serves as a comprehensive collection of methodologies, paradigms, and case studies explaining novel approaches for crop improvement programs. It summarizes the collective knowledge of leading experts in agronomy, genetics, biotechnology, and related fields, offering a holistic perspective on the multifaceted aspects of modern crop enhancement. In an era of climate change, increasing population, and environmental degradation, the need for revolutionary advancements in agriculture has never been more urgent. This book delves into the transformative potential of emerging methodologies, from precision breeding and genetic engineering to computational biology and synthetic biology. Through compelling case studies and insightful analyses, readers discover how novel approaches are revolutionizing crop breeding, cultivation, and resilience. The central theme of the book is the promotion of sustainable agricultural practices and the development of resilient crop varieties capable of withstanding environmental stressors, pests, and diseases. The book fosters interdisciplinary collaboration crucial for tackling complex agricultural challenges by combining insights from diverse disciplines, including bioinformatics, computational biology, and ecological sciences. From disease-resistant crops to stress-tolerant varieties, the advanced strategies of crop improvement offer avenues for sustainable agriculture and global food security. This book is essential reading for students, academics, researchers, scientists, and policymakers interested in and working in the fields of agriculture or biotechnology.
Applied Computer Vision Through Artificial Intelligence
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Author : Jasminder Kaur Sandhu
language : en
Publisher: John Wiley & Sons
Release Date : 2025-10-13
Applied Computer Vision Through Artificial Intelligence written by Jasminder Kaur Sandhu 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 2025-10-13 with Computers categories.
Master the cutting-edge field of computer vision and artificial intelligence with this accessible guide to the applications of machine learning and deep learning for real-world solutions in robotics, healthcare, and autonomous systems. Applied Computer Vision through Artificial Intelligence provides a thorough and accessible exploration of how machine learning and deep learning are driving breakthroughs in computer vision. This book brings together contributions from leading experts to present state-of-the-art techniques, tools, and frameworks, while demonstrating this technology’s applications in healthcare, autonomous systems, surveillance, robotics, and other real-world domains. By blending theory with hands-on insights, this volume equips readers with the knowledge needed to understand, design, and implement AI-powered vision solutions. Structured to serve both academic and professional audiences, the book not only covers cutting-edge algorithms and methodologies but also addresses pressing challenges, ethical considerations, and future research directions. It serves as a comprehensive reference for researchers, engineers, practitioners, and graduate students, making it an indispensable resource for anyone looking to apply artificial intelligence to solve complex computer vision problems in today’s data-driven world.
World Of Computer Science
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Author : Brigham Narins
language : en
Publisher: Gale Cengage
Release Date : 2002
World Of Computer Science written by Brigham Narins and has been published by Gale Cengage this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Containing approximately 650 alphabetically arranged entries and 200 photographs, the "World of Computer Science meets the information need for a wide variety of computer studies. It is a subject-specific guide to pioneers, discoveries, theories, concepts, issues and ethics and gives attention to lesser-known scientists, minorities and women.
Computer Vision And Recognition Systems Using Machine And Deep Learning Approaches
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Author : Chiranji Lal Chowdhary
language : en
Publisher:
Release Date : 2021
Computer Vision And Recognition Systems Using Machine And Deep Learning Approaches written by Chiranji Lal Chowdhary and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Computers categories.
Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand digital images or videos using artificial intelligence based on neural networks, machine learning and deep learning methodologies. They are used in countless applications such as image retrieval and classification, driving and transport monitoring, medical diagnostics and aerial monitoring. Written by a team of international experts, this edited book covers the state-of-the-art of advanced research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real world applications including object detection, biometrics, Deepfake detection, sentiment and emotion analysis, traffic enforcement camera monitoring, vehicle control and aerial remote sensing imagery. The book will be useful for industry and academic researchers, scientists and engineers in the fields of computer vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research. puter vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research.puter vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research.puter vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research.