the diagnosis and prediction of cardiovascular illness are critical medical responsibilities that assist cardiologists correctly classify patients and treat them *** ML algorithms are here to identify a similar patter...
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Wearable emotion recognition using physiological signals gains attention due to its non-intrusive nature, yet effectively using physiological data remains a challenge. In our study, we crafted machinelearning models ...
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Breast Cancer is the major cancer among all other type of cancer in women around the world and it is increasing day by day in most of the developing countries and the cases are diagnosed in the last stage in most case...
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Distributed Denial of Service (DDoS) attacks are one of the several issues disrupting the Internet at present. Cloud environments must have robust security mechanisms in place to ensure continuous service availability...
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the proceedings contain 45 papers. the special focus in this conference is on data and Information Sciences. the topics include: bSafe: A Framework for Hazardous Situation Monitoring in Industries;comparative Review o...
ISBN:
(纸本)9789819969050
the proceedings contain 45 papers. the special focus in this conference is on data and Information Sciences. the topics include: bSafe: A Framework for Hazardous Situation Monitoring in Industries;comparative Review of Different Techniques for Predictive Analytics in Crime data Over Online Social Media;An Approach Towards Modification of Playfair Cipher Using 16 $$\times $$ 16 Matrix;Real and Fake Job Classification Using NLP and machinelearning Techniques;an Improved Privacy-Preserving Multi-factor Authentication Protocol for Wireless Sensor Networks;blockchain-Powered Crowdfunding: Assessing the Viability, Benefits, and Risks of a Decentralized Approach;geospatial Project: Landslide Prediction;yoga Pose Identification Using Deep learning;predicting Size and Fit in Fashion E-Commerce;A Novel Image Captioning Approach Using CNN and MLP;Multimodal Authentication Token through Automatic Part of Speech (POS) Tagged Word Embedding;sensitive Content Classification;online Social Networks: An Efficient Framework for Fake Profiles Detection Using Optimizable Bagged Tree;Exploring Risk Factors for Cardiovascular Disease: Insights from NHANES database Analysis;Review of Local Binary pattern Histograms for Intelligent CCTV Detection;Enhancing machinelearning Model Using Explainable AI;ioT-Assisted Mushroom Cultivation in Agile Environment;a Comprehensive Survey of machinelearning Techniques for Brain Tumor Detection;current Advances in Locality-Based and Feature-Based Transformers: A Review;a Systematic Review on Detection of Gastric Cancer in Endoscopic Imaging System in Artificial Intelligence Applications;route Optimizations Using Genetic Algorithms for Wireless Body Area Networks;propchain: Decentralized Property Management System;criminal Prevision with Weapon Identification and Forewarning Software in Military Base;advanced Cyber Security Helpdesk Using machinelearning Techniques.
In order to recognize patterns in images, this study tests the performance of many 'machinelearning algorithms' and feature extraction methods. Here, synthetic photographs of handwritten digits are used to co...
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Artificial Intelligence (AI)-based emotion recognition using various kinds of data has attracted vast attention in recent years. Impressive results have been achieved, but only recently the influence of the training d...
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ISBN:
(数字)9781665490627
ISBN:
(纸本)9781665490627
Artificial Intelligence (AI)-based emotion recognition using various kinds of data has attracted vast attention in recent years. Impressive results have been achieved, but only recently the influence of the training data with its potential biases and variations in annotation quality are discussed. Still, the majority of the research literature focuses on improving machinelearning techniques and model performance using single data sets. Literature on the impact of training data remains scarce. therefore, in this paper we investigate the influence of the training data on the accuracy of recognizing emotional states in facial expressions by a comparative evaluation, using multiple established facial image databases. Results reveal inconsistencies in the data annotations as well as ambiguities in the emotional states expressed. thus, they allow to critically discuss data quality of the training data, contributing to a more in-depth understanding of previous emotion recognition approaches, and improving the design of more transparent AI solutions.
Semiconductor manufacturing process involves various steps: fabrication of Wafers, testing of wafers, assembly of each single die and package level final test. Out of which, testing of wafer for defect detection and c...
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the proceedings contain 66 papers. the special focus in this conference is on Recent Innovations in Computing. the topics include: the Importance of Selected LMS Logs Pre-processing Tasks on the Performance Metrics of...
ISBN:
(纸本)9789819906000
the proceedings contain 66 papers. the special focus in this conference is on Recent Innovations in Computing. the topics include: the Importance of Selected LMS Logs Pre-processing Tasks on the Performance Metrics of Classification Models;analysis of Deep Pre-trained Models for Computer Vision Applications: Dog Breed Classification;an Efficient recognition and Classification System for Paddy Leaf Disease Using Naïve Bayes with Optimization Algorithm;development of Decision-Making Prediction Model for Loan Eligibility Using Supervised machinelearning;prediction of Osteoporosis Using Artificial Intelligence Techniques: A Review;analyzing Stock Market withmachinelearning Techniques;machinelearning Techniques for Image Manipulation Detection: A Review and Analysis;improving Real-Time Intelligent Transportation Systems in Predicting Road Accident;Consumer Buying Behavior Analysis During COVID-19 Phase Using Statistical datamining and Multi-verse Stochastic Algorithm;clinical Named Entity recognition Using U-Net Classification Model;addressing Role of Ambient Intelligence and Pervasive Computing in Today’s World;Improving the AODV Routing Protocol Against Network Layer Attacks Using AntNet Algorithm in VANETs;a Comparative Study of IoT-Based Automated Hydroponic Smart Farms: An Urban Farming Perspective;Smart Healthcare System Based on AIoT Emerging Technologies: A Brief Review;Intelligent Communication for Internet of things (IoRT);energy-Efficient Priority-Based Routing Model for Smart Health Care;An Internet of things-Based mining Worker Safety Helmet Using ESP32 and Blynk App;Time Series-Based IDS for Detecting Botnet Attacks in IoT and Embedded Devices;swarm Intelligence-Based Energy-Efficient Framework in IoT;Performance Analysis of MADM Techniques in Cognitive Radio for Proximity Services;neural machine Translation from English to Marathi Using Various Techniques.
the proceedings contain 148 papers. the topics discussed include: research on the application of multi-intelligence collaborative method based on imitation learning;application of deep reinforcement learning based gra...
ISBN:
(纸本)9798400716485
the proceedings contain 148 papers. the topics discussed include: research on the application of multi-intelligence collaborative method based on imitation learning;application of deep reinforcement learning based graph convolutional neural network for sugarcane leaf disease identification;analysis of active decision model based on big data and patternrecognition;national flags recognition based on image processing;research on fault tolerant mechanisms in wireless sensor networks;quality prediction of brewing Koji based on multitask learning;research on the implementation strategy of civic teaching in higher vocational English courses for digital resource construction;task offloading strategy algorithm for realistic Internet of vehicles scenarios;and Tibetan college students’ acquisition of English back vowels based on information technology.
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