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This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments.

Applied Computer Vision and Soft
Computing with Interpretable AI

Applied Computer Vision and Soft Computing with Interpretable AI

1. Improved Healthcare System using Artificial Intelligence: Technology and Challenges. 2. A brain MRI segmentation method using feature weighting and a combination of efficient visual features. 3. Vision Based Skin Cancer Detection: Various Approaches with Comparative study. 4. MentoCare: An Improved Mental Healthcare System for Public. 5. Employee Health monitoring system using WBANs and Machine Learning. 6. Monitoring operational parameters in manufacturing industry using web analytical dashboards. 7. Concurrent Line Perpendicular Distance Functions for Contour Points Analysis. 8. A Resemblance of Convolutional Neural Network Architectures for Classifying Ferrograph Images. 9. Role of AI and IoT in Smart Agriculture towards Green Engineering. 10. Intuitionistic Fuzzy Hyper Graph with their Operations. 11. Heterogeneous Multiple-mini-Graphs Neural Network based Spammer Detection. 12. Spam email classification using Meta-Heuristic Algorithm. 13. A Blockchain Model for Land Registration Properties in Metro Cities. 14. A review on sentiment analysis applications and challenges. 15. Handling Skewed Datasets in Computing Environments: The Classifier Ensemble Approach. 16. Diagnosis of Dementia Using MRI: A Machine Learning Approach. 17. Optimized Tolerance Based Student's Face Recognition and Identification Using Deep Learning. 18. Impact of Fake News on Society with Detection and Classification Techniques. 19. Neurological Disorder Detection Using Computer Vision and Machine Learning Technique. 20. Deep Learning for Tea Leaf Disease Classification: Challenges, Study Gaps, and Emerging Technologies.

Skin, Sensing, and Structures

Humanizing Artificial Touch

This book highlights the enduring synergy between information technology and decision-making tools, showcasing how advancements in one field drive progress in the other. Featuring the discoveries of esteemed researchers from the International Journal of Information Technology and Decision Making, it provides an insightful exploration of foundational concepts and cutting-edge techniques.This review volume opens with a broad overview of fundamental concepts like the Analytic Hierarchy Process (AHP) and Threat-Oriented Person Screening Integrated System, (TOPSIS) across the past decades. Subsequent chapters explore how theoretical advances find practical application in diverse fields.In this book, techniques from fuzzy logic find usage in uncertainty modelling, followed by the use of feature selection and recommendation in machine learning. The use of advanced optimization techniques for applications in price forecasting and the Internet of Things (IoT) are also covered. Additionally, the work presents novel methods under a neutrosophic environment as well as global and local importance used for multi-criteria decision-making. The prolific research presented helps to expand the repertoire of approaches to tackle problems in business strategy, healthcare and public policy.This comprehensive resource is an essential reference for practitioners and researchers seeking to expand their expertise in decision-making and technology-driven solutions.

Innovative Approaches To Decision Making: Bridging It And Decision Science

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies. The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

AI and Data Science in Medical Research

Malware detection is exceedingly challenging, requiring deeper expertise in two domains: machine learning (ML) and malware analysis.This comprehensive collection guides ML practitioners and researchers into the state-of-the-art and underlying insights needed to work in and research problems at the intersection of machine learning and cyber security, particularly around the problem of malware targeting the Windows platform.This useful volume's contributions come from a range of experts, representing large companies, major universities, and government labs, all working at the frontiers of malware detection and remediation research.

Applied Computer Vision and Soft Computing with Interpretable AI

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