Advancements in Intelligent Systems for Communication, Energy, and Big Data

1. Auflage 2026
ISBN: 978-1-041-44916-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 640 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Taylor and Francis Proceedings in Computer Science and Engineering

Advancements in Intelligent Systems for Communication, Energy, and Big Data presents a comprehensive overview of the latest breakthroughs in interdisciplinary research, serving as a vital platform for the dissemination of innovative ideas across interconnected technological frontiers. This volume captures the official proceedings of The International Conference on Advanced Communication, Energy and Big Data (ICACEBD-25), highlighting the critical synergy between theoretical research and practical applications to address pressing global, industrial, and societal needs.

The volume delves into a diverse range of technical domains, providing in-depth coverage of next-generation communication systems, sustainable energy frameworks, intelligent computing, and big data analytics. Key findings emphasize the pivotal role of emerging technologies in fostering digital transformation, optimizing resource utilization, and bridging the gap between academic theory and industrial practice. Through a curated collection of peer-reviewed papers, the volume explores groundbreaking advancements in high-speed wireless networks, renewable energy solutions, predictive modeling, and data-driven decision-making architectures. It illustrates how cross-disciplinary collaboration can lead to pioneering solutions for complex infrastructure and technological challenges, offering readers a roadmap of current trends and future directions in the global scientific landscape.

This volume is intended for a broad audience of researchers, academicians, and industry professionals seeking to update their knowledge of modern engineering trends and data-centric technologies. It is equally valuable for postgraduate students, data scientists, and policy-makers interested in the practical translation of advanced communication and sustainable energy research into scalable, real-world innovations.

Zielgruppe

Academic and Undergraduate Core

Autoren/Hrsg.

Kumar, Anil

Tayal, Madhuri A.

Ridhorkar, Sonali

Khetani, Vinit

Goyal, Dinesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Customer service call grading using Emotion Detection by Machine learning based techniques. AI-Driven Dynamic Difficulty Adjustment in Educational Games: Enhancing Engagement and Learning Outcomes. Dynamics of Institutional Investors and Commodity Markets in India. Investment Decision Making: Assessing Alignment Between Investors' Stated Risk Preferences And Actual Risk. Implementation of Intelligent IoT-Enabled Vehicle Parking System for Urban Efficiency. Usage of Synthetic Data Generation in Training AI Models: Benefits, Challenges, and Applications. The Role of Artificial Intelligence in Enhancing Predictive Maintenance in Smart Industrial Robotics. Employee Perception on the Sustainable Business Practices of Indian Companies. The Relationship Between Purchase Intention, Brand Image, Customer Engagement And Digital Marketing On Music Streaming Platforms. Adaptive Cache Management via MDP and Value Iteration for Efficient Content Delivery in NDN. Adult Content Detection with Machine Learning Techniques. Precision-Controlled Coir Fibre Drying and Groundwater Seepage Prevention System. Consumer Behavior Insights on Emerging Technology on Ecommerce Platforms in India. Connecting the Dots: A Digital Solution for Alumni Networking and Engagement. A Real-Time Smart Bus Tracking System Using IoT and GPS for Public Transportation Optimization. Offline Machine based Proctored Examination. Enhancing Hand Gestures for Sign Language Recognition using Deep Learning and Transfer Learning. An Integrated AI System for Pneumonia Detection and Personalized Treatment Recommendations: Leveraging CNNs and Large Language Models. Performance Enhancement of PV Panels Using Copper Pipe and Steel Wool-Based Cooling System. Advances in Hand Gesture Recognition and Conversion to Speech/Text: A Comprehensive Review. Intelligent Car Headlight Control with Bluetooth for Automatic Switching and Dynamic Intensity Adjustment. Traffic Flow Prediction and Optimization. Design and Development of an Arduino based Overcurrent Relay. Enhancing Cyber Defense with Decoys and Machine Learning: A MITRE ATT&CK Approach. An Open-Source ASIC Design: A Low-Power RISC-V Core Case Study with SKY130PDK. A Machine Learning-Based Predictive Model for Early Detection of Breast Cancer. Brahmand: An Gateway to Divine Realms of Indian Mythology. Deep Learning based Detection of Freezing of Gait Events in Parkinson's Patients Using 3D Accelerometer Data. Gender and Age Detection System Using CNNs on Real-Time Video. IHMACRA: An Integrated Hybrid Model for Adaptive Cloud Resource Allocation. Research And Implementation of IOT Based Underground Cable Fault Detection System. Infrared Optical Wireless Communication for Underwater and Open-Air Environments: Design, Implementation, and Performance Analysis. Innovating FMCG Strategies through Neuromarketing for Traditional & Digital Consumer Engagement. Creation Of An Internet Of Things Flood Monitoring And Alerting System Using Raspberry Pi. Analyzing Dual Occupational Engagement: An Empirical Investigation into Sole Employment versus Side Hustles among Indian Workforces. AI-Based Basketball Shot Analysis Using R-CNN for Player Performance Optimization. Developing a Machine Learning Model based solution to refine CAPTCHA. A Real-Time Emotion Recognition System Based on Conventional Neural Network Architecture for Facial Expression. Implementation of Three Port Multi-Input DC-DC Bidirectional Boost Converter Utilizing Single Inductor. Sustainable Leadership: Integrating Ethics and Corporate Social Responsibility. Automatic Lung Cancer Classification for CT Scan Images based on Improved EffNet Model. PseudoFusion: Pseudocode to Python Code with Flowchart Precision. ESP-NOW Enabled IOT Weather Station for Distributed Environmental Sensing and Forecasting. Assessing the Integration of Industry 4.0 On Business Process Management: A Comparative Study of Traditional and Digitally Transformed Shop Floors. A Predictive Analytics Framework for Cryptocurrency Price Forecasting and Smart Investment Recommendations. Stock Price Prediction Using Machine Learning: A Cross-Market Study of Selected Stocks on NYSE and NSE. EV Integration in Power Systems: Impact and Smart Grid Enhancement. Leave Management System. A Voice Assisted PDF System with RAG: A Comprehensive Technique to Interact with PDF's. Exploring the Influence of Escapist Environments on Customer Experience: A Literature Review. Design of an Improved Model for Smart Agriculture SCM Optimization Using RT-QSCS and FIARO Methods. Smart Learning Recommendation System. MAINTAINING BMI AND NUTRITIONAL INTAKE USING AI: A REVIEW OF CHALLENGES, PROPOSED SOLUTION AND FUTURE SCOPE. Machine Learning Approaches for Breast Cancer Recurrence. Empowering Women Leadership through Farmer-Producer Organizations in Maharashtra, India. Blockchain based Integrated E-commerce Framework for Export Global Trading. Quick Bill – Remuneration Bill Generation Management. Deep Learning Models for Diabetic Retinopathy: A Comprehensive Review of Detection and Classification Approaches. Predicting Future Trends and Values Using Generative AI-Based Time Series Techniques. Solar PV-Thermal Electric Power System Frequency Normalisation Using ANFIS Controllers. Automated Exam Paper Checking System for Calculating Grades and Generating Feedback using SBERT. Artificial Intelligence in Multimodal Voice Assistant: Automation, Entertainment and Communication. Mental Health Assessment Web App. Advancing Renewable Energy Infrastructure with Intelligent Soft Computing Techniques. Enhancing Telecommunication Video Compression with a Hybrid Block Matching Motion Estimation Technique. ML-Powered Handwriting Analysis for Early Detection of Alzheimer's Disease. A Comparative Analysis of Human Activity Recognition Models Using Deep Learning, STGCN, and Secure Sense Frameworks. A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environment. Automated Parking Guidance System. Intelligent Real-Time Infusion Monitoring with Smart Syringe Pump for Clinical Application. Ensemble TabNet Method for Enhanced Phishing URLs Detection. Advanced Transformer-Based Model for Phishing Attack Detection using Tokenization and Fine-Tuning. Raspberry Pi-Based Mobile Robot for Night Surveillance. IoT-Enabled Embedded System for Real-Time Cutting Tool Monitoring and Machine Efficiency Optimization. Implementation of Vehicular Ad-Hoc Network (VANET) for Vehicle-to-Vehicle Communication and AI Used in ADAS. Smart Home Control via BCI for Physical Challenged Persons. Design and Simulation of X-Band Low Noise Amplifier for Enhanced Signal Integrity in Radar & Satellite Communication. Design and Simulation of Low-Voltage Low-Power CMOS OTA Using Body-Driven Topology for Biomedical Applications. Enhancing SAP Predictive Maintenance and Industrial Analytics with LLM-Driven Automation. PV Cell Paramters Optimization Using Nature Inspired Algorithm. Noise Pollution Monitoring System. Prediction of Dementia Variants Using Machine Learning. FEA and ML-Based Assessment of PLA-Coated WE43 Magnesium Alloy Implants. Design and Simulation of Graphene-enhanced Triboelectric Nanogenerators for Biomedical Energy Harvesting: A Comprehensive Analysis. Comparative Analysis of AI Algorithms for Detecting Tomato Crop Diseases.

Über Autor(innen)

Anil Kumar is a distinguished academician and visionary leader with 19 years of experience in Computer Science and Engineering. As the Professor and Head of the Department at Poornima Institute of Engineering & Technology, Jaipur, he specializes in Cybersecurity, Penetration Testing, Information Security, Cryptography, AR, and VR.

Madhuri A. Tayal is an Associate Professor and Head of Data Science Department, G.H Raisoni College of Engineering and Management, Nagpur. She received her Ph.D. Degree in Computer Science & Engineering Department from Nagpur University in 2017. She has rich teaching and research experience of around twenty years. She has worked at Shri Ramdeobaba College of Engineering and Management, Nagpur, for 14 years. Her research interests include NLP, Machine Translation, Computation Linguistics, Machine Learning and Deep Learning Applications.

Sonali Ridhorkar is working as a Head & Associate Professor in the Department of Computer Science & Engineering at G H Raisoni College of Engineering and Management, Nagpur. She has about 22 years of teaching experience. She received her PhD. Degree from Computer Science & Engineering Department, G.H.Raisoni College of Engineering, Nagpur, RTMNU, Nagpur University and M.Tech (CSE) and B.E (Computer Technology) degree from RTMNU, Nagpur. She has authored many papers in International and national journals/conferences in Cyber Security, Machine Learning, Pattern Recognition, Blockchain Technology Network Security.

Vinit Khetani is a highly skilled and passionate professional with over 14 years of experience in IT and research. He is the Founder and CEO of the Mathematical Research Institute of India (MRI India) and serves as the Director of Cybrix Technologies. His expertise lies in the application of Artificial Intelligence (AI) across diverse domains, particularly in healthcare and security. He holds both his Bachelor's and Master's degrees in Computer Science and Engineering from MATS University, Raipur, Chhattisgarh. Vinit Khetani continues to contribute significantly to the fields of AI, IT innovation, and research, driving impactful technological advancements and industry solutions

Dinesh Goyal, having B.E, M.Tech & PhD in Computer Science & Engineering, is working as Professor in Computer Science and Engineering and Principal at Poornima Institute of Engineering & Technology. Under his leadership the Institute has become 1st Institution across India to offer Engineering Education in Regional Language under “New Education Policy”. Acquiring an experience of more than 24 years in teaching and perceive keen interest in research area relating Cloud Security, Image Processing, Data Analytic and Information Security he has been pivotal in many turnkey projects & research and development activities.