E-grāmata: Proceedings of International Conference on Recent Innovations in Computing: ICRIC 2023, Volume 2

Part I - Artificial Intelligence & Digital India.- Federated Learning
for Enhanced Deep Learning Integration: A Practical Approach.- A Systematic
Review of RDHEI with Consistent Experimental Evaluation.- Predictive
Modelling of Rice Yield Using Environmental Factors and Machine Learning.-
Artificial Intelligence and Cognitive Information Systems: Revolutionizing
Business with Generative Artificial Intelligence and Robotic Process
Automation.- Anomaly Detection for Power Consumption: A Comprehensive
Multi-Technique Approach.- Exploring Computational Thinking through the Lens
of Algebraic Thinking.- Securing The Internet of Things: AI-powered Threat
Detection and Safety Measures.- An Avenue Study of Convolutional Neural
Network for Image Stratification.- Performance Exploration on Some Neoteric
Metaheuristic Based Approaches for Problem Solving in Optimization.-
Transforming Business Approaches with an Integrated Machine Learning and
Algorithmic System, Guided by Visual Data Dashboards.- Mental Illness
Identification through EEG Feature Segregation and Machine learning.- A
Comprehensive Exploration of Convolutional Neural Network Architectures in
Deep Learning.- Human Generated vs AI Generated Text: A Comparative Study.-
Improving Disaster Response With U-Net And Attention Mechanism In Earthquake
Damage Assessment Using Remote Sensing Data.- AI-driven HR practices: Recent
trends in digital HR tools and their perceived benefits.- Detecting Brain
Tumor using Deep Learning through CNN model.- The Societal Implications Of
False Positives Using Machine Learning.- Unraveling Autoimmunity: Exploring
Etiological Factors and Machine Learning Applications in Varied Autoimmune
Disease.- Advancing Marine Plastic Detection with CLAHE-Enhanced YOLOv8: A
Comparative Study with YOLOv7 and YOLOv6.- Comparative Study on Different
Approaches Used in  Word Sense Disambiguation-NLP.- Explainable AI in
Healthcare: Methods, Concepts and Challenges.- Bidirectional Short-Term
Memory with Osprey Optimization Algorithm for Automatic Recommendation
System.- Cardiovascular Predictive Analysis with Machine Learning Fusion.-
Ayurvedic Plant Leaf Detection Using Hog  Feature Descriptor and Svm
Classifier.- A Hybrid Deep Learning Approach for Android Malware Detection.-
Part II - Cyber Security and Cyber Physical Systems.- Crypto currency Price
Prediction model using deep learning for Financial Institutions.- Practical
implementation of model classic mceleice cryptosystem.- Fake Profile
Detection on Social Networks - A Survey.- Proof Of Computational Power: An
Innovative Consensus Algorithm for Blockchain Systems.- Part III -
E-Learning, Cloud and Big Data.- Feature Selection using Particle Swarm.-
Optimization for Microarray Data Classification.- Revolutionary Dehazing
Advances: A Comparative Study.- Implementation challenges of
industry-specific ERP System solutions by utilizing Best Practices.-
Empowering Real-Time Insights through LLM, LangChain, and SAP HANA
Integration.- Fine-tuning CodeLlama to Fix Bugs.- Graphics Shader program
development in C# using Source Generators.- Smart Viewing: Redefining Value
in Over The Top Streaming Experiences.- Enhancing Performance and Scalability
of a Flutter-Based Food Ordering Application through Microservices on AWS.-
System problems to develop systems thinking in computer science education.-
Deconstructing Big Data for Carbon Emission and Carbon Footprint Detection.-
A Review: YOLO and its advancements.- Decoding Ethics: Proficiency of LLMs in
Addressing Moral Dilemmas.- Evolution of Financial Question Answering:
Themes, Challenges, and Advances.- Adoption of Industry 4.0 in the Automotive
Industry Contributes to Reduction in Energy Consumption During the Production
Process.- Copernicus Satellite Data: Terrain Modelling with Python.-
Application of the method of representation of decision rules in a
hierarchical structure for forecasting and data analysis.- Using machine
learning to find dependencies in data to improve working conditions.-
Applying data analytics to effectively expand banking service offerings.-
Part IV - Image Processing & Computer Vision.- Detection and classification
of plant diseases using a textural feature analysis and classification
system.- Optimal Sensor Data Resampling for Anomaly Detection in Industrial
Control Systems.- ReviewRanker: A Semi-Supervised Learning Based Approach for
Code Review Quality Estimation.- Optimizing System Performance in Punjabi
Language Processing: Revealing Linguistic Nuances and Advancing Computational
Solutions.- BrMEPS:Review on 3D Body Reconstruction and Measurement
Estimation for Personalized Clothing.- A Review on Exploration of EEG-Based
Mental Illness Detection Tools and Techniques.- A Novel Handwritten
Prescription Recognition with Stochastic Gradient Descent using Adaptive
Momentum Learning.- Enhancing Automatic Speech Recognition in Air Traffic
Communication through Semantic Analysis and Error Correction.- Part V - IoT
and  Networking.- Energy Efficient Water Purification Plant Design
Techniques.- IOT-Based 5G Healthcare Systems With Blockchain For Improving
the Security of Healthcare Monitoring System.- Intrusion Detection System in
the Industrial Internet of Things (IIoT) using Deep Learning.- Authentication
and Data Access Challenges in Safeguarding Industrial IoT.- Exploring
Application Deployment on Edge Solutions: A Focus on Mobile Edge Computing,
Akraino Eliot, Edgex, and Openvino for Healthcare Applications.- Eyes in the
Sky: Safeguarding Borders Security with AI-Powered Aerial Monitoring and IoT
Integration.- Crop-Health Monitoring for Precision Agriculture Using
IoT-Based Sensors in Drones.- Revolutionizing Scene Text Recognition:
Unleashing the Power of Dual Step Attention Mechanism in the Encoder.-
Anomaly Detection in IoT Networks using Differential Evolution and XGBoost.-
Miniaturized UWB (C2F4)n-Based Antenna Array for Future CubeSat Swarms.

Dr. Illés Zoltįn, Ph.D., Habil. has started higher education studies in subjects Mathematics and Physics at Eötvös Lorįnd University. He later took up the Computer Science supplementary course, which was started at that time. He got a Hungarians Republic scholarship based on his outstanding academic achievements during his university studies. He graduated in 1985, after which he started working at the Department of Computer Science of Eötvös Lorįnd University. He completed his Ph.D. dissertation entitled Implementation of Real-Time Measurements for High-Energy Ion Radiations in 2001. In 2004, at the request of Jedlik Publisher, he also wrote a textbook on the C# programming language. This book has a second, expanded edition in 2008. In 2007, he was awarded a scholarship by the Slovak Academy of Sciences, where he spent six months researching and teaching at the Constantine the Philosopher University in Nitra.





Dr. Chaman Verma is an Assistant Professor at the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Lorįnd University, Hungary. He has completed his Ph.D. Informatics from Doctoral School of Informatics, Eötvös Lorįnd University, Hungary, with Stipendium Hungaricum scholarship funded by Tempus Public Foundation, Government of Hungary. During his Ph.D., he won the EFOP Scholarship, co-founded by the European Union Social Fund and the Government of Hungary, as a professional research assistant in a Real-Time System for 20182021. He also received the Stipendium Hungaricum Dissertation Scholarship of Tempus Public Foundation, Government of Hungary, in 202122. He has been awarded several Erasmus scholarships for conducting international research and academic collaboration with European and non-European universities. His research interests include data analytics, IoT, feature engineering, real-time systems, and educational informatics. He is a member of the Editorial Board and a reviewer of various international journals and scientific conferences.





Dr. Paulo J. Sequeira Gonēalves 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 presented more than 100 paper in renowned journal and conferences in robotics, vision and computational intelligence. 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. 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, 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. His recently published book titled Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenarios from Springer has reached more than 27000 downloads in last few months. He has been nominated as Section Editor for Discover IoT, a Springer Journal.