Proceedings of International Conference on Recent Innovations in Computing

ICRIC 2023, Volume 1
Herausgegeben:Singh, Yashwant; Singh, Pradeep Kumar; Gonçalves, Paulo J. Sequeira; Kar, Arpan Kumar

• Gebundenes Buch

Produktbeschreibung

This book features selected papers presented at the 6th International Conference on Recent Innovations in Computing (ICRIC 2023), held on 26-27 October 2023 at the Central University of Jammu, India, and organized by the university's Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

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Produktdetails

• Lecture Notes in Electrical Engineering 1194
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-2838-1
• 2024
• Seitenzahl: 732
• Erscheinungstermin: 13. Juli 2024
• Englisch
• Abmessung: 241mm x 160mm x 42mm
• Gewicht: 1383g
• ISBN-13: 9789819728381
• ISBN-10: 981972838X
• Artikelnr.: 70263077

Autorenporträt

Dr. Yashwant Singh is Professor and Head of the Department of Computer Science and Information Technology at the Central University of Jammu where he has been a faculty member since 2017. Prior to this, he was at the Jaypee University of Information Technology for 10 Years. He completed his Ph.D. from Himachal Pradesh University Shimla, his post-graduate study from Punjab Engineering College Chandigarh, and his undergraduate studies from SLIET Longowal. His research interests lie in the area of Internet of Things, Vulnerability Assessment of IoT and Embedded Devices, Wireless Sensor Networks, Secure and Energy Efficient Routing, ICS/SCADA Cyber Security, ranging from theory to design to implementation. He has collaborated actively with researchers in several other disciplines of computer science, particularly Machine Learning, Electrical Engineering. He has served on Thirty International Conference and Workshop Program Committees and served as the General Chair for PDGC-2014, ICRIC-2018, ICRIC-2019, ICRIC-2020, and ICRIC-2021. Dr. Pradeep Kumar Singh is currently working as Associate Professor of Computer Science and Engineering at Central University of Jammu, J&K, India. He is Senior Member of Computer Society of India (CSI), IEEE, ACM and Life Member. He is Associate Editor of the International Journal of Information System Modeling and Design (IJISMD), Indexed by Scopus and Web of Science. He is also Associate Editor of International Journal of Applied Evolutionary Computation (IJAEC), IGI Global USA, Security and Privacy, Wiley. He has received three sponsored research projects grant from Govt. of India and Govt. of HP worth Rs 25 Lakhs. He has edited a total 24 books from Springer and Elsevier. He has Google Scholar citations 3100, H-index 30 and i-10 Index 70. His recently published book titled Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's from Springer has reached more than 27000 downloads in last few months. Dr. Paulo J. Sequeira Gonçalves is Professor of Electrotechnical and Industrial Engineering with the School of Technology in the Polytechnic Institute of Castelo Branco, Portugal. He is also Senior Researcher at IDMEC, Instituto Superior Técnico, University of Lisbon, Portugal. He was trained in Mechanical Engineering, achieving the M.Sc. and Ph.D. degrees from Instituto Superior Técnico, University of Lisbon, 1998 and 2005, respectively. He served as Chair of the IEEE-CIS (computational Intelligence) Portuguese chapter, was officer of the IEEE RAS working group who developed the first RAS standard and one of the first ontology-based IEEE standards. He received several scientific awards both national and international. He organized and chaired several international conferences, and edited its proceedings. He received funding for his research projects, in Principal Investigator and/or Researcher, from the EU, IEEE, private companies and the Portuguese National Research Funding Agency. Dr. Arpan Kumar Kar is Professor of the Information Systems area in DMS, Indian Institute of Technology Delhi. He has extensive experience in teaching, training, consultancy, and research. He has published over 120 high impact articles, 6 books and has over a thousand citations for his research. He is Member in multiple Advisory Committees of Central Government Ministries and Universities. Before joining IIT Delhi, he has earlier taught in IIM Rohtak as Assistant Professor(v). Prior to joining academics, he has worked in IBM Research Lab and Cognizant Business Consulting. He has provided research driven advisory services to leading MNCs and Government Departments/Ministries in India and globally through funded projects and consultancies of around 5 Crores INR. He has received multiple awards and recognitions from reputed organizations like Elsevier, IFIP, I3E, IIT Delhi, IIM Rohtak, PMI, AIMS, TCS, Jadavpur University, etc.

Inhaltsangabe

Deep Learning Based Summarized Notes Generation from Document.- Text Summarization Techniques for the Bengali Language: Survey.- Bibliometric Analysis of Internet of Things (IoT) In Green Healthcare.- AI and patient convenience: Usage of AI based medical chatbots for medical diagnosis via smartphones.- Learning Device for Dyslexia.- Artificial Intelligence (AI) -Powered Intelligent Systems for Disease Prognosis: A Bibliometric Study.- Unleashing the Potential: Study on Artificial Intelligence Effect in Education Sector.- Analysis and Performance of Text Summarization Tools Applied on Indian Languages.- A Review of Privacy Preserving Decentralized Learning.- AI-Powered Traffic Orchestration: Reinforcement Learning at Traffic Intersections.- A Novel Melanoma Diagnosing System Using Multi-Directional Pattern Extraction Based Distributed Deep Learning Model.- An Element Gathering Optimization based Probabilistic Multi-Model Neural Network Classification Algorithm for Stock Market Prediction.- Enhancing Text Classification with Modular Deep Encoder-Decoder Networks for Multimodal Data.- Design and Development of Deep Learning Based Framework to Detect Disease in Tomato Leaf.- Leveraging Data Mining Optimization for Enhancing Safety Management in Public Security Prevention and Control Application.- A Review of Artificial Intelligence and Machine Learning for Vaccine Research.- Forecasting Criminal Activity: An Empirical Approach for Crime Rate Prediction.- Autonomous Self Driving Car Model Using Deep Learning.- Forecasting the Incidence of Neglected Tropical Diseases and Vector-Borne Diseases.- Machine Learning techniques for detection and classification of crop (Solanum lycopersicum) plant diseases due to pests: A Review.- Review and Challenges: Identify Malnutrition Among Children Under 5 Age.- A review of Crypto-ransomware pre-encryption detection.- Are We Ready To Investigate Robots? Issues and Challenges Involved in Robotic Forensics.- Unmasking the Vulnerabilities: A Deep Dive into the Security Threat Landscape of Humanoid Robots.- An Ensemble-based Extra Feature Selection Approach for predicting Heart Disease.- A Comprehensive Review on Machine Learning in Breast Cancer Analysis.- Fake News Detection using Machine Learning Algorithms.- Review of Cyber Physical System Based Security Datasets for Learning Based Intrusion Detection Systems.- Deep Learning Model based approach for DDoS Detection and Classification.- Machine Learning-Based Text Categorization with Bag of Words.- Implementation of pretrained models to classify Osteosarcoma from histopathological images.- Data Analysis on Dynamic Flow Characteristics of Variable Delivery Hydraulic Axial Piston Pump.- Impacts Of Website Design Attributes and Functional Benefits on Consumer-Instrumental Value in Electronic Commerce Apparel Websites.- Survey and Analysis of Intrusion Detection Frameworks for Cyber-Physical Systems: A Comprehensive Study.- Exploring Explainable Machine Learning in Healthcare: Closing the Predictive Accuracy and Clinical Interpretability gap.- Enhancing IoT Security through Deep Learning: A Comprehensive Study.- A Novel Distributed Tree Based One Hot Encoding (DTOHE) Technique for Intrusion Detection.- An Enhanced Neural Network Collaborative Filtering (ENNCF) for Personalized Recommender System.- MIMO Based VLC Link for Smart City Applications.- A Detailed Study of Advancements in Digital Forensics.- Diagnosis of Behavioural Disorders using Swarm Intelligent Metaheuristic Techniques.- Development of Arduino based Surveillance Drone for Enhanced Campus Security.- A Naïve Performance Metric Parameter for an Intrusion Detection System Model.- Is Artificial Intelligence based Automation for Cyber Crime Investigation the Need of the Hour? An Exploratory Study.- Traffic Sign Board Recognition and Voice Alert System using Deep Convolutional Neural Network.- Analysis of Intrusion Detection System by Applying Machine Learning using KNIME tool.- Motion-Aware Deep Feature-Based Scalable Video Summarization for Wireless Capsule Endoscopy Videos.- Empowering Smart Cities with Edge Computing-Based Iot Systems: A Focus On Data Analytics And Machine Learning Techniques.- Using Meta-LSTM to Predict Personality Traits from Blog User Behaviors.- A Review and Analysis of Privacy-Preserving Federated Learning based Applications and Services in IoT Networks.