List of Accepted Papers:


Trade or no trade: A link prediction approach for crude oil exporting countries
Ritu Singh
IoT Based Drainage Cleaning System and Hydroelectricity Generation: A Case Study for Chattogram Metropolitan Area
Md Sanjid Alvi, Mohammed Shakhawat Hossen, Mohammad Golam Mortuza, Hassan Jaki and Mohammad Sanaullah Chowdhury
Development of UWB NLOS model aided by IMU in Indoor Positioning Systems
Ang Liu, Xiaoying Kong and Sanjeeb Shrestha
Ensemble Stacking for Enhancing an LSTM and ARIMA-Based Hybrid Model for Time Series
Alexander Okhuese Victor and Mohammed Inizar Ali
Enhancing Adaptive Traffic Control Systems with Deep Reinforcement Learning and Graph Models
Ali Reza Sattarzadeh and Pubudu N. Pathirana
Data-Driven Machine Learning HAZMAT Incident Duration Prediction with Random Forest
Deo Chimba
Assessing the Impact of Secondary Tasks on Heart Rate Variability and Mental Workload in Driving
Mary Grace Lubay, Johnson Ihyeh Agbinya, Mohsin Murtaza, Abdulmajeed Alenezi and Chi-Tsun Cheng
An Ensemble of Machine Learning Algorithms for Detecting Fake News
Chayan Paul, Nandan Banerji, Bikash Debnath and Baisakhi Chakraborty
Unified Embedding Based Personalized Retrieval in Etsy Search
Rishikesh Jha, Siddharth Subramaniyam, Ethan Benjamin and Thrivikrama Taula
AI Technologies in Reducing Hospital Readmission for Chronic Diseases: A Recommended Framework
Farnaz Farid, Abubakar Bello, Farhad Ahamed, Fahima Hossain, Fariza Sabrina and Shaleeza Sohail
Automated Financial Report Detection, Classification and Structure Recognition Using YOLO and SLANet
Muhammad Azmain Mahtab and Jannatim Maisha
Foundation Models in Medical Image Analysis: Overview and Prospects
Essam Rashed and Mahmoud Bekhit
Enhanced Stratified Sampling: A Method for Privacy Preserving Big Data Publishing
Vikas Thammanna Gowda, Mason Lee and Vanessa Campagna
Image Separation Using Transformer Attention Models
Aditya Ranganath, Jocelyn Ornelas Munoz, Robert Smith, Mukesh Singhal and Roummel Marcia
Consensus Control of Micro Multi-agent Reinforcement Learning Systems for Tumor Treatment
Neshat Elhami Fard, Behnaz Merikhi, Rastko R. Selmic and Rhonda McEwen
GN2DI: A Scalable Graph Neural Network Framework for Spatial Missing Data Imputation in Sensor Networks
Amir Eskandari, Saeed Jamshidiha and Vahid Pourahmadi
SliceInsightNet: Advanced Hybrid Image Segmentation for Spine Annotation in MRI
Mina Atef Yousef and Essam Rashed
Deep Learning for Early Lung Cancer Detection from CT Scans: A Data Science Bowl Approach
Krishnaveni Katta
Movie Recommendation System Based on Facial Emotion Recognition
Teh-Lu Liao, Yi-You Hou and Yun-Han Tseng
A Survey on Stochastic Modeling and Advanced Machine Learning Techniques for Optimizing Internet of Medical Things (IoMT) Systems
Alexander Okhuese Victor and Mohammed Ali Intizar
Optimizing Real-Time Data Processing in Resource-Constrained Environments: A Spark and GPU-Driven Workflow for Large Language Models
Mina Yousef, Tamer Arafa and Ghada Khoriba
Developing a novel 3D Graphormer++ model for screening and predicting potential oxide electrocatalysts with greater accuracy and computational efficiency
Stanley Chen
Semantic Plagiarism Detection of Figures in Scholarly Documents: A Conceptual Framework
Hafsa Batool, Syed Ms Islam and Naeem Janjua
Early Screening of Breast Cancer Using Machine Learning Algorithms: A Comparative Study
Md Aminul Haque, Moname Majumder and Syed Mohammed Shamsul Islam
Intrusion Classifier Architecture Generation with Zero Prior Knowledge employing Generative Adversarial Networks
Bipraneel Roy, Hon Cheung and Chun Ruan
Application of Machine Learning Algorithms for Predicting Employee Attrition
Mohammad Dabbagh, Kashif Saleem, Adel Al-Jumaily, Mohammad Tahir and Angela Amphawan
Clustering based Flood Area Segmentation Benchmarking in Different Colour Spaces
Salwa Al Garea, Saptarshi Das and Mark Callaway
Leveraging Time Sequence Deep Learning Models: Impact of Hidden Layers on AI Model Performance in Credit Scoring
Adaleta Gicic and Dzenana Donko
A Symbolic AI Framework for Enhanced Diabetes Prognosis Accuracy and Explainability
Iram Wajahat, Amritpal Singh, Fazel Keshtkar and Syed Ahmad Chan Bukhari
NTCP Modeling for The Soviet Union Luna Program With Innovative Modifications
Cyrus Nejat
GenAI Empowered Script to Storyboard Generator
Govind A, Rohith Syam, Aiswarya Anil Nair and Ahad Anzar
Leveraging Sentiment Analysis and Emotion Detection for Mental Health insights
Joysh Jose
Multi-Crop Multi-Disease Classifier Using Hybrid Model
Nagamani Thanuboddi and Usha Rani Nelakuditi
Facial Emotion Detection Using CNN: Comparative Analysis with VGG16 and InceptionV3 Models and Application in Emotion-Based Music Recommendation
Varesh Patel and Khyati Mehta
Enhancing Sign Language Interpretation with Multi- headed CNN,Hand Landmarks and Large Language Model(LLM)
Chaitanya Kakade, Nidhi Kadam, Vishal Kaira and Rishi Kewalya
Retinal Arteries and Veins Semantic Segmentation Using Modified U-Net Architecture
Heidi Holiel, Aya El-Beheiry and Essam Rashed
Promoting Equity: Assessing Algorithmic Fairness in Machine Learning Approaches for Predicting Alzheimer's Disease
Kenna Zhang
Atmospheric Temperature Prediction Using SVR Models
Artem Abdikov and Bernardo Flores
Detection of Black Holes from Stellar Datasets Using Machine Learning
Habibur Rahaman Fahim, Mahmudul Hasan and K.M.A. Salam
Probabilistic Guarantees for Abductive Inference
Kerria Pang-Naylor, Ian Li, Kishore Rajesh and George Montanez
General algorithm of assigning raster features to vector maps at any resolution, size or scale
Nan Xu, Mark Stevenson and Kerry Nice
Comparing Machine Learning Techniques for Breast Cancer Prediction: A Comprehensive Study
Tonmoy Roy and Zsolt Ugray
Quantum Communication-AI Interface for Real-Time Translation and Secure Transmission in Multilingual IoT Networks
Raj Kashikar
Promoting a Three-Dimensional Warranty Policy using Social Media data Analytics to Optimise Warranty Costs (Product-Service Approach)
Zahra Sarmast Hasan Kiadeh, Sajjad Shokouhyar, Melika Motaghian and Anna Levchenko
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting
Rui Cao and Qiao Wang
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach
Priyam Ganguly and Akhilbaran Ghosh
Clustering Optimization via Centroid Neural Network Ensemble
Chung Tran, Le-Anh Tran, Ngoc-Phu Le, Jordi Carrabina, David Castells-Rufas, Minh Son Nguyen and Nhan Cach Dang
Impact of P300 Speller Training on Focus and Attention: An EEG Topography Analysis
Komalpreet Kaur and Manish Wadhwa
Differential Diagnosis of Prostate Volume Images by Transfer Learning
Saba Ansari and Peter Riley
Predicting College Admission Results with Machine Learning on Unstructured Online Data
Yourui Shao and John Tian
A Comparative Study of Deep Learning Models for Image Super-Resolution Across Various Magnification Levels
Jayesh Soni, Subhash Gurappa and Himanshu Upadhyay
Generating Scalable and Labelled IoT Intrusion Dataset using Leaky GANs
Bipraneel Roy, Hon Cheung and Chun Ruan
Learning Hyper-Parameters of Image Transformations for Time Series Classification
Almiqdad Elzein and Mohammad Hassanzadeh
SentiMetry: A Development of Emotional Wellness Web Application Using AI-Driven Sentiment Analysis
Darius Vincent Ardales, Samantha Nicole Caasi, Jose Romulo Latosa, John Patrick Marcellana, Alroy Leon Reyes and Norshuhani Zamin
Correctness Comparison of Open-weight and Proprietary LLMs for Spatial Tasks
Luca Morandini, Stephan Winter and Richard Sinnott
Early Detection and Severity Classification of Diabetic Retinopathy Through Image Processing and Deep Learning
Nelson Nishio, Jason Nishio and Alexander Nishio
Image Retrieval with Hard Negative Centers and Quadruplet Center Loss in Deep Hashing
Nikolaos Konstantinou, Theodoros Semertzidis, Anastasios Dimou and Petros Daras
3D Object Detection Based on Spatially Adaptive Sparse Convolution
Jing Jing Hu, Yu Ling Fan, Ping Zhang, Chang Duan, Chao Zhang and Si Yu Chen
Remarks on a Quaternion-Valued Neural Network-Based Direct Controller for Discrete-Time Nonlinear Systems
Kazuhiko Takahashi
Bioacoustic Data Augmentation Techniques for Data-Driven Apiculture
Iman Ardekani, Soheil Varastehpour, Abdolhossein Sarrafzadeh and Kartikeye Dangwal
BDAPS: Blockchain Decentralized Approach for Privacy-Preserving and Security in IoT Framework.
Md Kamran Hussin Chowdhury
On the Challenges and Perspectives of Stroke Segmentation using AI
Mohamed Mabrok, Yalda Zafari, Mostafa Mabrok and Essam Rashed
Can GPT Price Options?
Ashish Anil Pawar and Divya Chaudhary
Advancing Predictive Maintenance Research Trends: Using Artificial Intelligence for Enhanced Industrial Reliability
Shiyi Xie
Enhanced Feature Selection for Superior Ensemble DDoS Detection in Software-Defined Networks
Abdussalam Alashhab, Aisha Edrah and Maythem Abbas
Magnification Independent Multi-Classification of Breast Cancer in Histopathology Images Using Deep Learning
Jason Nishio, Nelson Nishio and Alexander Nishio
Advanced Deep Learning Models for Groundwater Contaminant Dynamics at the Savannah River Site
Jayesh Soni, Himanshu Upadhyay, Haruko Wainwright, Zexuan Xu and Leonel Lagos
Multivariate Analysis of Urban Air Pollution: Clustering and Patterns Across Major Asian Cities
Anika Rahman and Mst. Taskia Khatun
Enhancing Carcass Yield Prediction in Angus Cattle Feedlots: A Comparative Analysis of Machine Learning Models
Ricardo Garro, Cara Wilson, David Swain, Anibal Pordomingo and Santoso Wibowo
Comprehensive Analysis of Structural Defects in Various Structures Using TLS Data and Machine Learning
Surjo Dey, Ankit Sharma, Hritu Raj and Susham Biswas
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
A.A.G. Yogi Pramana, Faiz Ihza Permana, Muhammad Fazil Maulana and Dzikri Rahadian Fudholi
Rethinking MedSAM: Performance Discrepancies in Clinical Applications
Muhammad Nouman, Ghada Khoriba and Essam Rashed
Addressing Modality Mismatch in Real Estate Recommendation using Image Captioning
Srinivasan M, Siddharth Kothari, Kalyan Ram Munagala, Sankalp Kothari and Raghuram Bharadwaj Diddigi
Personalised Diet Recommendation System using Bandits
Arjun Subhedar, Pranav Bhutada, Ansh Avi Khanna, Ritik Kumar Gupta and Raghuram Bharadwaj Diddigi
An Empirical Study on Enhancing Explainability through Quantum Machine Learning for Credit Risk Analysis
Aadrian Routh, Rubell Marion Lincy G and Parvathy Gopakumar
General Population Projection Models with Census Data
Takenori Tsuruga and Haiyan Qiao
Improving LogP Prediction of Chemical Compounds for Drug Development by a Novel Graph CNN Design
Angela Rao and Lei Xing
AI-Driven Weight Control System for Optimizing Feed Speed in Cutting Machines
Ari Aharari and Farhad Mehdipour
Real-time Detection of Diverse Bangladeshi Traffic Signs Using YOLOv8
Md. Habib Ehsanul Hoque, Mrittika Mahbub, Mohd Razali Bin Md Tomari, Rezaul Bashar, Dipankar Das and Md. Golam Rashed
Defect Classification and Localization in Material Extrusion with Multi-Modal Large Language Models
George Wu, Chi-Tsun Cheng and Toh Yen Pang
DoS Attack Detection enhancement in Autonomous Vehicle Systems with Explainable AI
Muhammad Nadeem Ali, Muhammad Imran, Ghulam Bahoo and Byung-Seo Kim
Privacy-Preserving Federated Incremental Learning for Spatial Crowdsourcing: A Survey of Challenges and Methods
Md Mujibur Rahman and Quazi Mamun
Mitigating Cybersecurity Risk of Threat Actors Through Dark Web Browser Fingerprinting
Hürol Türen, Rafiqul Islam, Ken Eustace and Geoff Fellows
Neural Network-Based Analysis of Mammography Images for Identifying Breast Cancer Histological Subtypes
Muhammad Alqaaf, Ahmad Kamal Nasution, Retno Supriyanti, Abu Asaduzzaman, Md. Altaf-Ul-Amin, Naoaki Ono and Shigehiko Kanaya
Enriching Active Inference with Diffusion Models for Free Energy Computation
Elias Aoun Durand, Mateus Joffily and Mehdi Khamassi
Distillation-based Model Compression Framework for Swin Transformer
Mazen Amria, Aziz M. Qaroush, Mohammad Jubran, Alaa Zuhd and Ahmad Khatib
Comparative Analysis of Genetic Algorithm, Ant Colony Optimisation and Particle Swarm Optimisation on the Travelling Salesman Problem and the 0/1 Knapsack Problem
Imran Rahman, Luke Mathieson and Farhad Ahamed
Efficient Website Classification: Using Small-Scale Machine Learning Models for a Broad Range of Categories
Maxime Sobrier
GAN-SLAM: Dynamic Visual SLAM Powered by GANs
Samira Taghavi, Abbas Razavi and Farshad Fotouhi
Deep Reinforcement Learning for Automated Stock Trading using Different Reward Schemes
Sahil Ramkaran Lawton and Asad Jeewa
XAI based Cattle Identification with YOLO and SIFT Technique
Aashu Katharria, Millie Pant and Kusum Deep
A comparative study on permissioned based blockchain implementation on healthcare data: from Security and Privacy perspective
Md Delowar Hossain, Quazi Mamun and Rafiqul Islam




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