Program at a Glance

Industry 1: 
Enhancing the Performance of Gas Turbines Predictive Emissions Monitoring System: A Stacked Ensemble Machine Learning Models

Unsupervised Hierarchical Denoising Guided Student-Teacher Framework for Battery Spot Welding Anomaly Detection

Classification of Analyte in Aqueous Solution via High-Frequency Transmission Spectroscopy

Health 1: 
An auto-Segmentation pipeline for Diffusion Tensor Imaging on spinal cord

Towards Automatic Computation of the SkullCode: A Novel Biometric Approach for Cranial Identification

Security 1: 
Analysis and Evaluation of Various Factors Affecting Deep Learning Systems Prediction Accuracy for Face Recognition

Speeding Up Real-time Digital Image Processing Algorithms at the Hardware Level with a Soft Flexible FPGA Processor: Centralized vs. Distributed Solutions

Industry 2: 
Optimizing Saas For Data-Driven IoT Applications In Smart Factory Communication

A Data-Driven Approach for Smart Electricity Management in Rural Energy Communities

Keynote

Keynote Speaker: Prof.  Ilias Maglogiannis, University of Piraeus, Piraeus, Greece 
Title: Computational Intelligence and Virtual Environments for Holistic Health Management 

Security 2: 
Deep Learning-Based Iris Quality Assessment for Images Sourced from Websites and Social Media

Health 2: 
MobileSpine: A Mobile-based 3D Reconstruction System for Remote Scoliosis Assessment

Methodologies: 
Deep Learning Based Student Engagement Detection: Comparison of Model Architectures and Computational Time Efficiency

Introducing Feature Importance Consistency (FIC) in XAI Models: A Comprehensive Evaluation using Rank Correlation Coefficients

Health 3: 
Automatic Pedicle Screw Placement Based On Simulated Annealing Algorithm

Health 4: 
A fiber grating human-robot interaction force sensor for lower limb rehabilitation exoskeleton

Enhancing Fall Risk Assessment with Deep Learning: A CNN-BiLSTM Approach Using Plantar Pressure Sensors

Sarcopenia risk levels recognition by gait kinetics using deep learning

Deep Learning Multi-Feature Analysis of Cough Audio Signal for Tuberculosis identification