El. knyga: Proceedings of Second International Conference on Intelligent System: ICIS 2023

Deep Convolutional Neural Networks for Brain Tumor Image Segmentation.-
A Comparison and Evaluation of Handwritten Digit Recognition (HDR)
Algorithms.- An Analysis of Machine Learning Algorithms for AQI Prediction.-
Application of The Harmonic Runge-Kutta with Forward-Backward Technique by
Parallelism.- A preconditioned conjugate gradient multigrid method for
multi-material topology optimization.- Generated Graph for Text Encryption
Algorithm Based on BRHC Curve .- Issues and Challenges of Digital Banking
System .- Impact of COVID-19 Pandemic on  Assessment Process of Technical
Education System-Analysis and Critical Review .- Ensuring Energy Efficiency
using AI and Nudge Theory to Reach Sustainable Development Goals: A Research
Framework .- Configuration and Evaluation of Models for Ecological Systems
the case of distribution of Koala.- Design and Experiments of a Manta-Ray
Robot for STEM Education.- Price forecast for Imbalanced Label Data by Meta
Heuristic model.- Unmanned Aerial Vehicles(UAVs): Performance Analysis of
Routing Protocols for Optimized Operations.- Processing the missing value
based on the linear regression approach.- Comparative Analysis for Test Case
Prioritization using Particle Swarm Optimization Firefly Algorithm.-
Improving object detection versatility with 6G in VANETS.- Analysis of Human
Behavior on Movie Review.- Artificial Intelligence () in Education-Current
Trends.- The Study of Randomness Properties Exhibited by LAO-3D Lightweight
Block Cipher Algorithm.- Association Rule Mining Based Food Preferences
Analysis Using FP-Growth Method .- Studies on potential conflicts of network
densification in 6G.- Machine Learning Framework for Detecting Fake News over
Social Media Platforms.- Analysis and Detection of Political Fake News Using
Deep Learning With High-Performance Hybrid-Model.- Wasserstein barycenters
over Heisenberg group.- BlockChain Technology with High Performance Via
Parallel Processing.- Customer Churn Prediction Model using Deep Learning.-
Artificial Intelligence Use in Maritime And Ports Industry as Smart
Multimodal Hubs - Emerging Trends.- On-line wear measurement for micro
turning round tip tool based on  machine vision.- Logistic Regression based
Legal Prediction Model.- A Comprehensive Approach for Predicting Different
Types of Retinal Detachment with ML algorithms.- Diabetic Retinopathy
Automatic Detection and Classification in fundus Images using Modified
Residual Convolutional neural networks (CNN) with improved accuracy.-
Properties of Idealization Graph over a Ring.- Research Arima Model Forecasts
Student's Graduation Rate.- A Home LPM System Based on WSN .- Privacy
Preservation Using Network Coding Against Traffic Analysis in Wireless
Network.- Optimized Back Propagation based Deep residual Learning Network
Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus images.-
Use Data Augmentation Model in Image Segmentation.- A prototype for Lung
Cancer Forecasting Using Convolution Neural Network Method .- Utilizing
Blockchain Technology for Farmer Identity Management and Land Registry
Systems in Agriculture.- IoT and Big Data Analytics for Smart Healthcare 4.0
Applications.- 5G Networks with Mm Wave Communications For Enhanced
Communication Range..- Dynamic Load Balancing Schemes for Software Defined
Networking (SDN).- Symmetric Encryption Scheme Based on Fuzzy Graph.- MED-H:
Smart Healthcare System Based on IoT and Rule Set.- Landscape View of
Hyperparameter Optimization Cybersecurity by Using Bio-inspired Algorithm.- A
Multi-hop routing with energy efficient using agglometrive hierarchical
clustering using wireless sensor networks in SIOT .- A Study in Understanding
the Role of Key Measures in Applying Machine Learning Models for Effective
Risk Management in Banking Industry With Focus on Private Banks In India..- A
Converter Tool to Transform the Android Mobile Application into Java Codes
for Software Testing.- Genetic Algorithm based Neural Network for Vegetable
Price Forecasting on E-Commerce Platform: A Case Study in Malaysia.- A System
for Biomedical Image Processing of Brain Tumor via Segmentation and Pattern
Recognition.

Dr. Joćo Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal, in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001 and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciźncia e Inovaēćo em Engenharia Mecānica e Engenharia Industrial (INEGI) and an associate professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). Joćo Tavares is a co-editor of more than 60 books and co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents.

Dr. Souvik Pal is an associate professor in the Department of Computer Science and Engineering, Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, he was associated with Brainware University, Kolkata, India; JIS College of Engineering, Nadia; Elite College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his B.Tech., M.Tech., and Ph.D. degrees in the field of Computer Science and Engineering. He has more than a decade of academic experience. He is an author or co-editor of 14 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley. He is serving as a series editor for Advances in Learning Analytics for Intelligent Cloud-IoT Systems, published by Scrivener Publishing (Scopus-indexed) and Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication, published CRC Press, Taylor & Francis Group, USA. Dr. Pal has published a number of research papers in Scopus / SCI-indexed international journals and conferences.







Dr. Vassilis C. Gerogiannis holds a Diploma in Computer Engineering and Informatics, as well as a Ph.D. in Software Engineering from the University of Patras, Greece. He is a full-time professor and head of the Department of Digital Systems at the University of Thessaly in Greece. His academic subject is Analysis and Design of Systems and Projects with emphasis on Decision Making. In the recent past, he was a full-time professor in the Department of Business Administration at the Technological Educational Institute of Thessaly, Greece He is also a visiting professor at foreign Higher Education Institutes/Universities. He acts as a guest editor, member of the editorial board and reviewer in international journals. He serves as program chair, member of the organization/technical committee and invited speaker in international conferences. He has received the best paper award in two international conferences. His research interests include Software Engineering, Project Management and Decision Making.

Dr. Bui Thanh Hung received his M.S. degree and Ph.D. degree from Japan Advanced Institute of Science and Technology (JAIST) in 2010 and in 2013. He is currently a researcher at Data Science Laboratory, Faculty of Information Technology, Industrial University of Ho Chi Minh City, Vietnam. He has completed 2 projects and published 16 journals, 19 book chapters, 36 International conference papers and 16 domestic conference papers.  He had four best paper awards of FICTA 2018, RICE 2020, ICAIAA 2021, and CIEMA 2022. He was selected as Excellent Scientific Researcher of Thu Dau Mot University in 2019, 2020, and 2021 and got CIEMA Research Excellence Awards 2022. He is a reviewer of many reputed journals and conferences. He is also a keynote speaker of many domestic and international conferences. His main research interests are natural language processing, machine learning, machine translation, text processing, data analytics, computer vision, and artificial intelligence.