The two-volume set CCIS 2236 and 2237 constitutes the refereed proceedings of the 7th International Conference on Applied Informatics, ICAI 2024, held in Vina del Mar, Chile, during October 24-26, 2024. The 39 full papers presented in these proceedings were carefully reviewed and selected from 123 submissions. The papers were organized in the following topical sections: Part I - Artificial Intelligence; Bioinformatics; Cloud Computing; Data Analysis; Decision Systems; and Game Development. Part II - Health Care Information Systems; Interdisciplinary Information Studies; Learning…mehr
The two-volume set CCIS 2236 and 2237 constitutes the refereed proceedings of the 7th International Conference on Applied Informatics, ICAI 2024, held in Vina del Mar, Chile, during October 24-26, 2024.
The 39 full papers presented in these proceedings were carefully reviewed and selected from 123 submissions. The papers were organized in the following topical sections:
Part I - Artificial Intelligence; Bioinformatics; Cloud Computing; Data Analysis; Decision Systems; and Game Development.
Part II - Health Care Information Systems; Interdisciplinary Information Studies; Learning Management Systems; Natural Language Processing; Social and Behavioral Applications; Software and Systems Modeling; and Software Architectures.
Produktdetails
Produktdetails
Communications in Computer and Information Science 2236
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Inhaltsangabe
.- Artificial Intelligence. .- Artificial Intelligence-Based Quantification and Prognostic Assessment of CD3, CD8, CD146, and PDGF-Rbeta Biomarkers in Sporadic Colorectal Cancer. .- Automatic differentiation between coriander and parsley using MobileNetV2. .- Automatic identification of forest areas in the "Carolina" Park using ResNet50, EfficientNetB0 and VGG16: A case study. .- Deep Convolutional Neural Network for Autonomic Function Estimation in Intensive Care Patients. .- Deep Learning Techniques for Oral Cancer Detection: Enhancing Clinical Diagnosis by ResNet and DenseNet Performance. .- Machine Learning Operations Applied to Development and Model Provisioning. .- MultiMF: a Deep Multimodal Academic Resources Recommendation System. .- NetScribed: A deep learning approach for machine-based melody transcription of audio files. .- Safeguarding Patient Data: Advanced Security in Wireless Body Area Networks and AI-Driven Healthcare Systems. .- YOLO Convolutional Neural Network for Building Damage Detection in Hydrometeorological Disasters Using Satellite Imagery. .- Bioinformatics. .- Extraction and selection of multi-omic features for the breast cancer survival prediction. .- Cloud Computing. .- Migration from On-Premises to Cloud: Challenges and Opportunities. .- Data Analysis. .- Improvement of Acute and Chronic Nutritional Status by supplying a Metabolic Biostimulator to Children in High Risk of Malnutrition. Introducing a Technological Platform to Enable Automatic Analyses and Reporting. .- Relationship between demographic, geographical and access to health services factors. .- RGB Image Reconstruction for Precision Agriculture: A Systematic Literature Review. .- Decision Systems. .- Developing AI-Driven Cross-Platform Geolocation for Enhanced Strategic Decision-Making. .- From Data to Decisions: Performance Evaluation of Retail Recommender Systems. .- Optimizing Fraud Detection in Traffic Accident Insurance Claims through AI Models: Strategies and Challenges. .- Game Development. .- Code Legends: RPG Game as a Support Tool for Programming in High School. .- Development of mental agility mini-games in a video game for early detection of mild cognitive impairment: an innovative approach in mental health.
.- Artificial Intelligence. .- Artificial Intelligence-Based Quantification and Prognostic Assessment of CD3, CD8, CD146, and PDGF-Rbeta Biomarkers in Sporadic Colorectal Cancer. .- Automatic differentiation between coriander and parsley using MobileNetV2. .- Automatic identification of forest areas in the "Carolina" Park using ResNet50, EfficientNetB0 and VGG16: A case study. .- Deep Convolutional Neural Network for Autonomic Function Estimation in Intensive Care Patients. .- Deep Learning Techniques for Oral Cancer Detection: Enhancing Clinical Diagnosis by ResNet and DenseNet Performance. .- Machine Learning Operations Applied to Development and Model Provisioning. .- MultiMF: a Deep Multimodal Academic Resources Recommendation System. .- NetScribed: A deep learning approach for machine-based melody transcription of audio files. .- Safeguarding Patient Data: Advanced Security in Wireless Body Area Networks and AI-Driven Healthcare Systems. .- YOLO Convolutional Neural Network for Building Damage Detection in Hydrometeorological Disasters Using Satellite Imagery. .- Bioinformatics. .- Extraction and selection of multi-omic features for the breast cancer survival prediction. .- Cloud Computing. .- Migration from On-Premises to Cloud: Challenges and Opportunities. .- Data Analysis. .- Improvement of Acute and Chronic Nutritional Status by supplying a Metabolic Biostimulator to Children in High Risk of Malnutrition. Introducing a Technological Platform to Enable Automatic Analyses and Reporting. .- Relationship between demographic, geographical and access to health services factors. .- RGB Image Reconstruction for Precision Agriculture: A Systematic Literature Review. .- Decision Systems. .- Developing AI-Driven Cross-Platform Geolocation for Enhanced Strategic Decision-Making. .- From Data to Decisions: Performance Evaluation of Retail Recommender Systems. .- Optimizing Fraud Detection in Traffic Accident Insurance Claims through AI Models: Strategies and Challenges. .- Game Development. .- Code Legends: RPG Game as a Support Tool for Programming in High School. .- Development of mental agility mini-games in a video game for early detection of mild cognitive impairment: an innovative approach in mental health.
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