Table of Contents:
“…Track 1: Emerging Applications of AI and Informatics -- A hybrid speed and radial distance feature descriptor using optical flow approach in HAR -- Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates -- An Indirect Approach to Forecast Produced Power on Photovoltaic Plants under Uneven Shading Conditions -- An FPGA-based Hardware Accelerator for the k-Nearest Neighbor Algorithm Implementation in Wearable Embedded Systems -- Designing Low-Power and High-Speed FPGA-based Binary Decision Tree Hardware Accelerators -- MEMS and AI for the Recognition of Human Activities on IoT Platforms -- Tackling the Linear Sum Assignment Problem with Graph Neural Networks -- A Non-Parametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process -- Optimized Layout: A Genetic Algorithm for Industrial and
Business Application -- Track 2: Application of AI and Informatics in Healthcare -- Explainable Deep Learning for Alzheimer Disease Classification and Localisation -- ML-based Radiomics analysis for Breast Cancer classification in DCE-MRI -- Decoding motor preparation through a deep learning approach based on EEG time-frequency maps -- A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC) -- The Effect of Drug on Neonatal-ICU Length of Stay: A Machine Learning Approach to Analyze -- iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence -- Ensemble Classifiers for a 4-way Classification of Alzheimers Disease -- Identification of
Crown and Rump in First-Trimester Ultrasound Images using Deep Convolutional Neural Network -- A Pyramidal Approach for Emotion Recognition from EEG Signals -- Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition -- Track 3: Application of AI and Informatics in Pattern Recognition -- A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images -- Television programs classification via Deep Learning using SSMI-CCN -- A Hybrid Deep Learning System to detect face-mask and monitor social distance -- Handwriting and Drawing for Depression Detection: A Preliminary Study -- Identifying synthetic voices qualities for conversational agents -- Identifying Colluding Actors in Social Communities by Reputation Measures -- Weakly Supervised Transfer Learning for Multi-label Appliance Classification -- Toward an Interoperable Catalogue of Multimodal Depression-related Data -- Explainable deep learning classification of respiratory sound for telemedicine applications -- Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks -- Applied Enhanced Q-NAS for COVID-19 Detection in CT Images -- Track 4: Application of AI and Informatics in Network, Security, and Analytics -- Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars -- Indoor Positioning and Navigation using Bluetooth Low Energy and Cloud Service in Healthcare Perspective -- Science Parks externalities on financial performance of small firms through
business intelligence tools -- A novel approach to identifying DDoS traffic in the Smart Home network via Exploratory Data Analysis -- A Novel Framework to Detect Anomalous Nodes to Secure Wireless Sensor Networks -- A graph-based approach to detect anomalies based on shared attribute values.…”
Call Number: Q342
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