图书简介

​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 Alzheimer’s 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.

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