Swaroop / Virdee / Correia Data Processing and Networking

Proceedings of ICDPN 2024, Volume 2
1. Auflage 2025
ISBN: 978-981-965535-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 805 Seiten

Reihe: Lecture Notes in Networks and Systems

This book includes selected papers presented at the International Conference on Data-Processing and Networking (ICDPN 2024), organized by the Institute of Technology and Business in Ceské Budejovice, Near Prague, Czech Republic, during October 25–26, 2024. It covers up-to-date cutting-edge research on big data-processing and analytics, data mining and machine learning, artificial intelligence and deep learning, wireless, mobile, and ad hoc networks, network security and privacy, Internet of things (IoT) and sensor networks, data communication, and computer vision and image processing.

Zielgruppe

Research

Autoren/Hrsg.

Swaroop, Abhishek

Virdee, Bal

Correia, Sérgio Duarte

Valicek, Jan

Inhaltsverzeichnis

Utilizing Random Forest to Predict Chronic Obstructive Pulmonary Disease (COPD) Exacerbations.- Advanced 3D Reconstruction of Urban Structures in Samarra Using UAV and Multi-View Stereo Techniques.- Tourism Chatbot Quality in High vs. Low Digital Literacy Contexts.- An Advanced Coral Reef Based Optimization for Economic and Energy Management of Micro grid for Sustainable Environment.- AI powered Human Resource Management: Redefining the future of work and workforce.- StreamAI: Unleashing Next-Gen Gaming with Artificial Intelligence and Cloud Streaming.- GliomaAI: Advanced Detection and Classification of Brain Tumor with Image Classification and Deep Learning.- Vulnerability and Security Analysis of E-Commerce Websites.- Exploring Semi-Supervised and Unsupervised Learning for Enhanced Lung Tumor Identification.- Building Cyber Resilience: Artificial Intelligence to Predict Threats and Adapt Responses.- Examining Load-Balancing Methods for Cloud Computing: Advantages, Disadvantages, and New Developments.- IPE-DEEP: Identification of Portable Executable Malware through Deep Learning Models.- Transfer Learning-Based Pre-Trained Model for Classification and Detection of Rice Leaf Disease.- A Comprehensive Survey on Integrating Blockchain and Zero Knowledge Proof Authentication in Cloud Computing for Enhanced Security.- Ultra-Thin Metamaterial Absorber: Designed for Exceptional Performance In X-Band Applications, Offering Breakthrough Broadband Capabilities.- Dynamics of Emotional Brand Attachment in Higher Education Marketing: A Narrative Review.- Approaching Water Crisis through Nexus-Thinking, Governance, Cooperation and Technology: A Bibliometric Review.- Enhancing Crop Health: Identification and Classification of Disease in potatoes.- Innovative Robotic Systems: Advancing Vehicle Automation through Voice Command Integration.- Real-Time Air Quality Monitoring System:Comprehensive Detection and Analysis of Common Pollutants and Hazardous Gases.- Two Port Circular Patch MIMO Antenna with H-shape Defected Ground Structure for WiMAX Application.- Comparison of Accuracy Processing UAV Imagery from Different Software.- Advancements in Deep Learning for Liver Cancer Classification from Medical Imagery.- Memoization-based Smart Gateways for Medical IoT.- Deep Learning-Based Approaches for Enhancing Image Compression Efficiency and Visual Quality.- Alternative Medical Cures using Leaf Image Identification: An Indian Perspective.- Next-Generation Cloud Security: AI-Powered Adaptive Security Models for Dynamic Threat Landscapes.- Analysis of data reliability in information system for continuous production processes.- Human Activity Detection Using Improved Structure of ResNet101 Deep Learning Model.- Breast Cancer Diagnosis Via Deep Transfer Learning.- A Comprehensive Review of Deepfake Detection Technologies.- AI-Powered Autonomous Driving System.- Enhancing Security and Privacy-Preserving Technique for Edge based Outsourcing Data in Edge Computing.- Proposed framework based on Cluster Routing Protocol for Emergency Message Dissemination in VANET.- Diagnosis of Autism Spectrum Disorder: A Survey.- Unveiling the Essence of Writer Identification: A Hyperspectral Imaging Approach to Dimension Reduction Analysis.- A Multiprotocol Gateway for IoT-Based Monitoring/Control System.- Smart Wearable IoT Health Tracker with Artificial Intelligence and Web Connectivity.- Accurate and Interpretable Machine Learning Models based on ensemble learning for heart disease predictions.- A Novel Text Summarization Framework Using Neural Networks.- Traffic Classification in Dark Web using Machine Learning Models.- Comparative Study of the Performance of Deep Learning Methods for Corn Seed Image Classification.- Heart Stroke Prediction using Machine Learning Techniques.- An Optimized Deep Learning Framework for Early Identification of Alzheimer's Disease.- Automated Multi-class Brain Tumor Classification Using Deep Learning-based Network for MRI Dataset.- Analysis of simulation in internet of things.- Deep Learning Algorithms are Being Used to Diagnose Osteo Fractures.- An Effective Blockchain-Ml Based Framework for Ensuring Vaccine Safety and Traceability.- Fire Heat Release Rate Prediction using Multi-Measurement Inversion Models.- Advanced Analytical Modeling Techniques for Enhancing Single Image Super Resolution.- Comprehensive Review of Optimizing Battery Efficiency in Wearable Sensors through Superframe Structures and Optical Wireless Communication Strategies.- A Comprehensive Review of Advancements and Challenges in Fake News Detection.- An IOT- Dl Based Framework for Intrusion Detection in Cloud.- Moving Towards Sustainable Agriculture by Forecasting Crop Yield Using Ml Algorithms.- Revolutionizing Agriculture (Agri Guru): Crop Prediction System Using Machine Learning.

Über Autor(innen)

Prof. (Dr.) Abhishek Swaroopcompleted his B.Tech. (CSE) from GBP University of Agriculture & Technology, M.Tech. from Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has industrial experience of eight years in organizations like Usha Rectifier Corporations and Envirotech Instruments Pvt. Limited. He has 22 years of teaching experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater, Noida, and Galgotias University Greater, Noida. He has served at various administrative positions such as the head of the Department, division chair, NBA coordinator for the university, and head training and placements. Currently, he is serving as a professor and HoD of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, and Delhi. He is actively engaged in research. He has more than 70 quality publications out of which 10 are SCI and 25 are Scopus indexed. 

Prof. Bal Virdee graduated with a B.Sc. (Engineering) Honors in Communication Engineering and M.Phil. from Leeds University, UK. He obtained his Ph.D. from the University of North London, UK. He was worked as an academic at Open University and Leeds University. Prior to this, he was a research and development Electronic Engineer in the Future Products Dept. at Teledyne Defence (formerly Filtronic Components Ltd., Shipley, West Yorkshire), and at PYE TVT (Philips) in Cambridge. He has held numerous duties and responsibilities at the university, i.e.: health and safety officer, postgraduate tutor, examination’s officer, admission’s tutor, short course organizer, course leader for M.Sc./M.Eng. satellite communications, B.Sc. communications systems, and B.Sc. electronics. In 2010, he was appointed as an academic leader (UG Recruitment). He is a member of ethical committee, member of the school's research committee, and research degrees committee.

Prof. Sérgio Duarte Correia received his Diploma in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2000, the Master's Degree in Industrial Control and Maintenance Systems from Beira Interior University, Covilhã, Portugal, in 2010, and the Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2020. Currently, he is an associate professor at the Portalegre Polytechnic University, Portugal. He is also a researcher at COPELABS—Cognitive and People-centric Computing Research Center, Lusofona University of Humanities and Technologies, Lisbon, Portugal, and VALORIZA—Research Center for Endogenous Resource Valorization, Portalegre Polytechnic University, Portalegre, Portugal, and has worked with several private companies for more than 20 years.

Prof. Jan Valícek is currently a professor at the Institute of Technology and Business in Ceské Budejovice, Czech Republic, since 2018. His previous roles include serving as the dean of the Faculty of Mining and Geology at VŠB-TU Ostrava (2017–2018), heading the Institute of Physics at VŠB-TU Ostrava (2015–2016), and being the dean for Science, Research, and Foreign Relations at the same institution (2014–2016). He has also been a researcher at the Institute of Geonics as CR in Ostrava (2008–2014), an associate professor (2008–2018), and a lecturer (2003–2008) at the Institute of Physics, VŠB-TU Ostrava. Valícek holds a Ph.D. in Mechanical Engineering (2004) and an Ing. (M.Sc.) in Mining and Geology (2002), both from VŠB-TU Ostrava. His applied research includes developing contactless surface topography measurement methods and methodologies for determining mechanical equivalents of materials.