International Conference on Applied Technologies
Description
The three-volume proceedings set CCIS 2049, 2050 and 2051 constitutes the refereed proceedings of the 5th International Conference on Applied Technologies on International Conference on Applied Technologies, ICAT 2023, held in Samborondon, Ecuador, November 22-24, 2023.
The 66 papers included in these proceedings were carefully reviewed and selected from 250 submissions. They are organized in sections by topics as follows: Intelligent Systems, Communications, e-Commerce, e-Government, e-Learning, Electronics, Machine Vision, Security, Technology Trends, and Z AT for Engineering Aplications.
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Content
.- Intelligent Systems.
.- Neural network model to classify a tweet according to itssentiment,
.- Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector.
.- Physicochemical and microbiological characterization of drinking water from the Luz de América parish, Ecuador: Statistical approach.
.- Machine Learning Models for Identifying Patterns in GNSS Meteorological Data.
.- Development of animal morphology measurement tool with convolutional neural networks and single-view metrology algorithms.
.- Rose Plant Disease Detection Using Image Processing and Machine Learning.
.- A Fine-tuned Transfer Learning Approach for Parkinson's Disease Detection on New Hand PD Dataset.
.- SMART GUIDE FOR PEDESTRIAN TRAFFIC LIGHT STATUS IDENTIFICATION.
.- Conversion of MRI into CT Images Using Novel Dual Generative Adversarial Model.
.- Accurate and Fast Segmentation of MRI Images using Multibranch Residual Fusion Network.
.- Voice Pathology Detection Demonstrates the Integration of AI and IoT in Smart Healthcare.
.- Impact of AI Infused Leadership on Subordinate Employee's Job Satisfaction: A Study across Select Successful IT Projects in Bengaluru City.
.- Uncovering AI Potential Techniques for Infectious Disease: A Comprehensive Exploration of Surveying, Classifying, and Predicting Models.
.- A Survey: Detection of Heart-related Disorders using Machine Learning Approaches.
.- Technological and other Motivating Factors Behind Purchase Intention for Organic Processed Food.
.- Conversational AI-based Technological Solution for Intelligent Customer Service.
.- Detecting the use of safety helmets on construction sites.
.- Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance.
.- Attack Classification using Machine Learning Techniques in Software-Defined Networking.
.- CLASSIFICATION OF TOXIC COMMENTS ON SOCIAL NETWORKS USING MACHINE LEARNING.
