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Engineering Intelligence: Advancement in Data Analytics and Management: Taylor and Francis Proceedings in Computer Science and Engineering

Editat de Tanweer Ali, Ram Kumar Solanki, Nithesh Naik
en Limba Engleză Paperback – 25 ian 2027
Engineering Intelligence: Advancement in Data Analytics and Management is the proceedings of the 2nd International Conference on Engineering Data Analytics and Management (EAMCON 2026) held at Shinawatra University, Bangkok, Thailand from 8-10 July 2026. The volume examines the transformative role of data, artificial intelligence, and advanced analytics in shaping the future of engineering and technology.
The book explores how the integration of data analytics, intelligent computing, machine learning, and modern data management is enabling engineers and organizations to address complex challenges, enhance operational efficiency, optimize decision-making, and accelerate innovation. Bringing together emerging concepts, methodologies, and applications, it provides a comprehensive perspective on how engineering intelligence can transform data into actionable knowledge and support smarter, more adaptive, and sustainable engineering solutions. The volume covers data acquisition, processing and management; exploratory and predictive analytics; machine learning and intelligent systems; data visualization; automation; optimization; and data-driven decision-making. Emphasis is placed on emerging technologies, practical engineering applications, real-world challenges, and future research directions.
The book is aimed at a broad academic and professional audience, including undergraduate and postgraduate students, researchers, academicians, engineers, data scientists, technology professionals, and industry practitioners. It will be particularly valuable to readers working in engineering, computer science, information technology, artificial intelligence, data science, and related interdisciplinary fields.
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Specificații

ISBN-13: 9781041535218
ISBN-10: 104153521X
Pagini: 619
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Taylor and Francis Proceedings in Computer Science and Engineering


Public țintă

Academic and General

Cuprins

Cloud-Integrated Digital Twin for Predictive Healthcare and Disease Progression Modeling. Design and Analysis of a Multi-Technology Fusion-Based Indoor Navigation System. Alignment vs. Capability: Does Safety Removal Improve Cybersecurity Performance in LLMs? Solar Integrated Dynamic Wireless Charging for Smart Electric Mobility. HAC-IDS: A Hierarchical Adaptive Framework for Robust Industrial IoT Intrusion Detection. AutoSpareX: An Intelligent Platform for Vehicle Spare Parts Price Comparison. MindPulse: AI-Based Multimodal Stress and Emotion Detection Framework. FedMed-Guard: Privacy-Preserving CKD Prediction via Adaptive Federated Learning. AI-Based Mental Health Assistance System Using BiGRU, BiLSTM Techniques. Density-Adaptive Hybrid Physics-ML Queue Predictor For Indian Traffic. Agentic AI Risk Management: Governance Protocols for Autonomous Multi-Agent Systems in Financial Services. Integrating Generative AI and Machine Learning into Enterprise Data Platforms for Measurable Business Outcomes. Risk-Aware AI Deployment Architecture for Secure and Regulated Banking Environments. Smart Visual Recognition For Finding Missing People. Development of a Low-Cost Camera-Based Automated Beach Sand Grain Size Mapping System. Automated PCOS Diagnosis using a Comparative Deep Learning Framework with Grad-CAM Explainability. A Dual-Path Framework for DVB-S2X Modulation Recognition: Integrating Adaptive Fusion-Residual Networks (AFR-Net) and Statistical Gradient Boosting (S-GBC). SG-TransNIBS: A Spatio-Temporal Graph Transformer for Personalized Non-Invasive Brain Stimulation Response Prediction via Multimodal EEG Functional Connectivity Fusion. Drive Shield- AI Based Smart Driver Assistant System. Smart Synapse: An AI-Powered Assistant for Automated Managerial Tasks Using Natural Language Processing. Large Language Models for Postpartum Mental Well-Being in LMICs: Capabilities, Risks, and a Safety Framework. Evaluating On-Device Large Language Models for Maternal Health Queries in Bangla and English. Bias Amplification in AI-AI Chains: How Errors Compound in Multi-Agent Pipelines. Reconstruction of Corrupted MRI Images Using U-Net-Based Deep Neural Network. Augmenting Financial Data Interpretation with 3D Stock Heat-maps. Necessity-Driven E-Government Adoption in Morocco: An Exploratory UTAUT-GAM Analysis of the Passeport.ma Digital Service. Data Migration Strategies for Large-Scale SAP S/4HANA Greenfield Implementations: A Comparative Analysis of Data Migration Cockpit, LSMW, Winshuttle, and GUI Scripts. Quantum Sketch Sentinel: Real-Time Forensic Face Synthesis and Surveillance Fusion Using Deep Learning. Implementing a Rule-Based Decision Support System for Dynamic Store Tier Transition Management in Multi-Tier Retail. Speech to Speech Model for Social Engineering Attack Detection in Audio Conversations. EDULEDGER: Blockchain-Based Feedback Management System for Educational Institutions. Dynamics of Food Insecurity: Explorations through the FIES and Economic Indicators. Evolving Cryptographic Identity with Lightweight Event-Driven State Transitions and Anchored Verification for Secure Supply Chains. Dynamic Temporal Graph Neural Network with Contrastive Self-Supervised Learning for Multidimensional Learner Evolution Modelling. Linking Green Entrepreneurial Orientation to Sustainable Business Performance: A mediation model of Supply Chain Resilience and Green Innovation. AI-Based Driver Behavior Profiling and Accident Prevention Using IoT Sensors. Integrating Artificial Intelligence and Machine Learning with DevOps: Enhancing Agility through Intelligent Defect Prediction. AQInsight: Framework for Pollution Source Attribution and Health Risk Forecasting. Qualitative Evaluation of Gaussian Splatting AI generated VR environments versus Procedural Environments for VR indoor Cycling: a Pilot Study Approach. Ensemble Multi-Pattern Learning (EMPL) Model for Phishing Attacks Detection. Toward a multidimensional framework for tax audit performance assessment in Morocco. Developing Sustainable Entrepreneurial Ecosystems Through Digital Competence and Self-Efficacy: Evidence from Vietnam. Machine learning-based bug severity prediction for software testing and quality assurance using hybrid feature engineering. Consumer Behaviour Using AI-Driven Personalized Marketing. Impact of AI-Based Demand Forecasting on Supply Chain Efficiency: An Experimental Study. Deep Learning-Based Topology Optimization: Experimental Validation and Performance Analysis. Social Commerce and Influencer Strategy: A Data-Driven Analysis of Consumer Response. The Influence of AI Personalization on Customer Experience and Buying Decisions in Online Retail. Blockchain Technology in Financial Management: Opportunities and Risks. AI-Based Credit Risk Assessment Models in Digital Finance. Framework for Predictive Disruption Management: Developing Foundational ML Models for Industrial Supply Chain. Winning Elections with Algorithms: The Rise of Big Data and Artificial Intelligence in Indian Politics Post-2024 polls. Explainable AI for Compliance-Driven Fraud Flagging in Payment Systems. Governed Retrieval Augmented Generation for Enterprise Compliance and Auditability. Student Attendance and Discipline Management System Using RFID and Facial Recognition. Stacking Ensemble Learning for Accurate pH Prediction in ISFET Devices. Secure Cryptographic Key Management in Embedded IoT Devices Using Trusted Execution Environments. Designing a User-Centered Intelligent Warehouse Interface with RFID, IoT, and Real-Time Decision Support. Real-Time Quality Control Systems Using Edge AI and IoT Sensors. Influencer Marketing Effectiveness in The Age of Social Commerce: An Experimental Study. Big Data Analytics Capabilities and Power System Performance: A Resource-Based Perspective. Innovation Ecosystems and Knowledge Spillover Effects in Emerging Markets: A Network Analysis Approach. Change Management Frameworks for Artificial Intelligence Adoption in Complex Organizational Systems. Neuromarketing Applications in Understanding Consumer Decision-Making in Digital platforms. Hyper-Personalization Using AI: Implications for Consumer Engagement and Retention. Business Policy Adaptation in the Age of Industry 5.0: Challenges and Strategic Responses. A Machine Learning–Based Framework for Cybersecure Real-Time Data Processing in IoT Engineering Systems. When Authenticity Fails, Legitimacy Collapses: A PRISMA 2020 Systematic Review of Consumer Rejection in Brand Activism (2015-2025). AI-Based Demand Forecasting Models and Their Impact on Inventory Management. Cryptocurrency Volatility and Its Implications for Corporate Investment Decision-Making. Diversity, Equity, and Inclusion Practices in Global Organizations and Their Impact on Performance. Machine Learning Applications in Business Forecasting and Demand Prediction. AI-Driven Personalized Learning Pathways for Engineering Education Systems. Lightweight Authentication Framework for Cloud Integration Using DNA Cryptography. A Structured Review and Comparative Analysis of Mutual Coupling Reduction Techniques in Compact MIMO Antennas. X-Agent Reinforcement Learning for Data Security and Sharing in Cloud Environments. Machine Learning-Driven Business Model Innovation in Digital Platform Economies. Strategic Innovation in Platform Businesses Using Machine Learning Techniques. Artificial Intelligence for Autonomous Monitoring and Safety in Next-Generation Nuclear Reactors. Empirical Evaluation of Real-Time Learning Analytics Using Big Data in Engineering Classrooms. Financial Risk Management Using Predictive Analytics in Volatile Economic Environments. Adaptive Data Preprocessing for Time-Series Forecasting: Optimizing Deep Neural Networks for Financial and Non-Financial Applications. A Multimodal Data Analytics Fabric for Intelligent Data Management. A Relevance-Redundancy Feature Weighting Framework for Imbalanced Network Intrusion Detection. AI-Enabled Sustainable E-Commerce: Examining Consumer Purchasing Behavior and Engagement. Workforce Analytics for Talent Retention and Organizational Growth. Organizational Support, Work-Life Equilibrium and Employee Psychological Well-Being: An Integrative SEM Investigation. Machine Learning and SEM Integration for Sustainable Trust-Based Consumer Segmentation in Social Commerce. Ensemble Machine Learning Model for Crop Recommendation in Precision Agriculture: A Comprehensive Survey. Digital Talent Development and Adoption of AI among Higher Education Faculty. Assessing HR Readiness for AI-Driven Talent Acquisition: A Framework for Embedding AI in HR Workflows. Effectiveness of Performance Management System – A Study on Selected Cement Manufacturing Units in Kalyan-Karnataka Region. FinTech as a Catalyst for Women's Financial Inclusion: An Interdisciplinary Framework Integrating Business, Technology, and Social Systems in Emerging Economies. Detecting Silent Behavioral Drift in Enterprise LLM Agents: A Runtime Framework. Sustainable Marketing Transformation and SDG Alignment: A Case Study of Hindustan Unilever Limited in India. Data-Driven Financial Technologies and Financial Discipline: The Role of Business Intelligence and AI Among Working Professionals in India. FarmSense: A Multimodal AI Agent for Inclusive Agricultural Advisory with Multilingual Voice Interaction, Real-Time Weather Integration, and Hyperlocal Store Discovery. Data Analytics And Managerial Decision Support. Application of Artificial Intelligence in Human Resource Management in the Modern Scenario. Information and Communication Technology (ICT) in Organizational Planning and Decision-Making. Context-Aware Workforce Analytics For Enhancing Creativity And Innovation In Hybrid Teams: A Talent Management Perspective. AI-Driven Financial Analytics and Behavioral Investment Decisions Among Individual Investors. A Hybrid Edge AI Framework with Federated Learning and Quantum-Resistant Encryption for Real-Time Intrusion Detection in 5G Networks. Entrepreneurship and Artificial Intelligence: Case Studies on Innovation-Driven Business Models. Empirical Assessment of mutual funds in leveraging ROI: An Analysis of selected retail investors. Digital Transformation and Strategic Management: An Integrated Perspective. Impact of Open Finance Data Sharing on Credit Access for Unbanked and Underbanked Populations: A Systematic Review. Global Research Trends in Generative Artificial Intelligence for Education: A Bibliometric Analysis. Green Consumer Behaviour and Sustainable Product Selection: An Experiential Approach to Customer Satisfaction. Women's Participation in Transportation Services under Globalization: A Systematic Review of Workforce Dynamics. Leveraging the trade-off between discretionary & systematic Investing: The cause of breadth and Depth of Investment. GeoAI-Driven Prediction and Mitigation of Human–Elephant Conflict (HEC). Digital Innovation, Sustainable Financial Practices and Digital Well-Being in the Era of Data Driven Business Transformation. Macroeconomic Drivers of Sectoral Volatility in India: Evidence from GARCH, Deep Learning, and Explainable AI. A Multi-Agent Retrieval-Augmented Generation Approach for Enterprise Knowledge Management: A Comprehensive Survey. Digitalization in GST Administration: Assessing the impact of Digital GST Mechanisms (E Way Bill) on Revenue collection in India. Stock Market Behaviour and Volatility: An Analytical Study of Influencing Factors. AI Applications in Education for Sustainable and Inclusive Growth. Option Hedging Strategies: Learnings from Empirical Evidence of selected stocks in BSE syndicating effective Investment syndrome. A Conceptual Study on the Transition of ESG Risks and the Resilience of Renewable Energy towards Sustainability. Views of Bank Employees on E-HRM Practices in Mysore District. Effect of Work-Life Balance Practices on Employee Performance in Modern Digital Work Environment. The Knowledge–Action Gap in Sustainable Personal Finance: An Empirical Investigation. Detection of Fraudulent Recruitment Using Transformer-Based Deep Learning. Spotsavvy: An AI-Driven Monolithic System for Assisted Urban Parking. Algorithm Trading Strategies in Capital Market Investment: An Empirical Study. Digital Dynamics and Data-Driven Gifting: Analysing Consumer Behaviour in India's Youth Gifting Market. AI-Enhanced Dynamic Intrusion Detection System with Resistance to Adversarial Attacks in Cloud Infrastructures. Artificial Intelligence Driven Workforce Discipline Management: Empirical Evidence from the Banking Sector. Workplace 5.0 And Beyond: Rethinking Technostress Among IT Employees. Behavioural Responses to GST Reduction: Examining the Determinants of Health Insurance Purchase Intention. Predictive People Analytics Using Machine Learning-Based HR Metrics for Strategic Workforce Planning in Industry 5.0. Automated Financial-to-Productivity Feedback System for Employee Efficiency Optimization in SMEs (AFPFS). Agent JailBreak Tester: A Framework for Probing and Evaluating LLM Agent Vulnerabilities. A Majority Logic-Based Reformulation for Low-Complexity Parallel Prefix Adders. A Hybrid Logarithmic and Piecewise Linear Approximate Multiplier for Energy-Efficient VLSI Systems. Design and analysis of dual-port MIMO antenna for wearable application.

Notă biografică

Tanweer Ali (Senior Member, IEEE) is currently working as a Professor with the Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India. He is an active researcher in the field of Computational Intelligence, Microwave Imaging, MIMO, DRA, UWB, millimeter wave and Tera-hertz antennas, and wireless communication. He has been listed in the top 2% scientists across the world for the year 2021, 2022, 2023 and 2024 by the prestigious list published by Stanford University, USA, indexed by Scopus. He is currently heading Advanced Antenna and Microwave Research Lab at MIT, Manipal. He has published more than 300 papers in reputed web of science (SCI) and Scopus indexed journals and conferences and has filed fifteen Indian patents, of which three have been granted and six have been published. He is serving as Associate Editor of the journal IEEE Transaction on Antenna and Propagation, IEEE ACCESS, Scientific Reports, Frontiers in Antennas and Propagation, Frontier Publisher, Journal of High Frequency Technologies, Journal of Studies in Science and Engineering, Guest Editor in Discover Sustainability, and Micromachines Journal.
Ram Kumar Solanki is a distinguished academician, researcher, and administrator, holding the dual roles of Associate Professor in the MIT School of Computing and Chief Coordinator of the International Affairs Cell at MIT Art, Design and Technology University, Pune Maharashtra, India. With a career span of 19 years, he has demonstrated a steadfast commitment to imparting knowledge at both undergraduate and postgraduate levels. A prolific researcher, he has authored 25 Scopus/Web of Science-indexed publications, five SCI publications, and 15 UGC Care publications. His academic contributions include authoring three books and securing 12 Indian patents, a Canadian copyright, an Indian copyright, and one design patent. Dr. Solanki has been recognized internationally, receiving prestigious awards such as the “Eminent Researcher” award by Birla Institute of Technology, Offshore Campus - Ras-al-Khaimah, UAE (2015), the “Young Scientist” Award at the 3rd International Conference on Science and Technology for Society (ICSTS-2017), Singapore, and the Excellence in Research Award by The Progress Global Award 2023, presented by the Chief Minister of Chhattisgarh. Additionally, he was honored with the Best Paper Award in Cambodia in 2023. He serves as an editor for esteemed international journals and is an active reviewer for prominent publishers.
Nithesh Naik is an entrepreneur, distinguished academician, and accomplished researcher, widely recognized in the field of Materials Science and interdisciplinary engineering innovations. A prolific scholar, Prof. Naik has authored 275+ publications in leading Scopus and SCI-indexed journals, with an H-index of 45 and over 9,500 citations. His outstanding global impact is reflected in his consistent recognition among the Top 2% Highly Cited Scientists by Stanford University for the past four consecutive years. He is working at the Faculty of Engineering at Manipal Institute of Technology, Manipal Academy of Higher Education, Institute of Eminence by MHRD, India. He serves as Chief Technical Officer at Curiouz Tech Labs, a Department of Biotechnology (DBT) funded MedTech Startup. He is Secretary of the International Training and Research in Uro-oncology and Endourology (iTRUE). He is a Fellow of the Engineered Science Society, USA, and leads the Intel Unnati Artificial Intelligence Data Centric labs, MIT, Manipal. Prof. Naik’s international collaborations span leading institutions globally. With his unwavering pursuit of excellence and innovation, Prof. Naik continues to inspire the academic, medical, and industrial communities, leaving a legacy in engineering, healthcare, and translational research.

Descriere

Engineering Intelligence: Advancement in Data Analytics and Management is the proceedings of the 2nd International Conference on Engineering Data Analytics and Management (EAMCON 2026) held at Shinawatra University, Bangkok, Thailand from 8-10 July 2026.