Titlebook: Intelligent Systems; Proceedings of 3rd I Siba K. Udgata,Srinivas Sethi,Xiao-Zhi Gao Conference proceedings 2024 The Editor(s) (if applicab

tenosynovitis

ELUC

An Automatic Traffic Sign Recognition and Classification Model Using Neural Networks, to verify the proposed model for an implanted application because of its softness and reduced number of boundaries (0.38 million) based on the improved LeNet-5 structure. The outcomes are advantageous, demonstrating the effectiveness of the discussed strategy.

florid

RLS898

SoundMind: A Machine Learning and Web-Based Application for Depression Detection and Cure,ied out based on the classification result implemented using Logistic Regression. The model predicts the results with 91.85% test accuracy, 93% precision, 99% recall, and 96% f1 score. The above-mentioned models are deployed on the web application. The web application not only helps in predicting me

現(xiàn)實

Japanese Encephalitis Symptom Prediction Using Machine Learning Algorithm,m, Tamil Nadu, Bihar, Goa and Manipur. The impacting factors include Climate, Rice Distribution, Livestock Distribution, Population Density, Specific Age Group Density, Urban/Rural Category and Elevation. Impacting Factors may change with the location. Here we have used Machine learning algorithms l

sundowning

Smart Skin-Proto: A Mobile Skin Disorders Recognizer Model, called ‘Smart Skin-Proto’ is developed. Then its usage in skin cancer assessment is also highlighted and upon implementation, the model records optimal performance which records an accuracy of 96.2% with 15 decision trees count. Also the overall latency of this application is less than other existi

IOTA

代替

Solar Powered Smart Home Automation and Smart Health Monitoring with IoT,cted condition which may occur when the owner is not present in home and it also notify the owner about the problem that has occurred. All the power requirements of smart homes are met by a self-generated solar power.

召集

Foreshadow

2367-3370 ing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques..978-981-99-3931-2978-981-99-3932-9Series ISSN 2367-3370 Series E-ISSN 2367-3389