Deep Dive on Oversampling and Under Sampling Techniques in Machine Learning

K Vijay, J Manikandan, B Rajendiran… - Recent Trends in …, 2023 - taylorfrancis.com
Data imbalance is a term used in Computer Vision to refer to an unbalanced distribution
between classes throughout a dataset. In classification tasks, where the dispersion of …

Analysis on Mental Stress of Professionals and Pregnant Women Using Machine Learning Techniques

S Ravikumar, E Kannan - International Journal of Image and …, 2023 - World Scientific
Stress is the way that everyone can respond actually, intellectually and sincerely to different
conditions, changes and requests in our lives. Stress problems are a typical issue among …

Insights into Diabetes Prediction: A Multi-Algorithm Machine Learning Analysis

V Usha, NR Rajalakshmi - 2023 4th International Conference …, 2023 - ieeexplore.ieee.org
Diabetes mellitus is a long-term metabolic disorder marked by sustained high levels of
glucose in the blood. It is brought on by a confluence of genetic and environmental variables …

Deep Learning Techniques Advancements in Apple Leaf Disease Detection

E Kannan, CMB MJ, A Begum, D Hemalatha - Procedia Computer …, 2024 - Elsevier
An exhaustive and comprehensive investigation was undertaken to address the critical issue
of disease detection on apple leaves using cutting-edge deep learning techniques. The …

Enhanced Brain Tumor Diagnosis through Multimodal Fusion and 3D Convolutional Neural Networks

CMB MJ, E Kannan, G Thangarasu… - … Conference On Smart …, 2023 - ieeexplore.ieee.org
Brain tumor detection has enhanced using a Multi-CNNs with Multimodal Information Fusion
method has been proposed in this work. The proposed method leverages multiple …

[图书][B] The role of artificial intelligence in sexual and reproductive health and rights: technical brief

World Health Organization - 2024 - books.google.com
This technical brief provides an overview of the landscape surrounding the use of artificial
intelligence (AI) in sexual and reproductive health and rights (SRHR), and highlights the …

An Elderly Fall Detection System Using Enhanced Random Forest in Machine Learning

R Subburam, E Chandralekha, V Kandasamy - Engineering Proceedings, 2024 - mdpi.com
Fall detection systems play a key role in addressing the health risks faced by elderly
individuals. This work implements a fall detection system using machine learning …

Machine learning approaches to diabetes prediction: A comprehensive evaluation

A Begum, SA David, D Hemalatha… - Artificial Intelligence …, 2024 - taylorfrancis.com
Diabetes, especially Type 2 diabetes, is a major global health concern since it can cause
serious side effects like heart disease, kidney failure, and blindness. For the detection and …

Ingenious Concepts of Machine Learning Towards Furtherance

M Bhavani, M Durgadevi - Recent Trends in Computational …, 2023 - taylorfrancis.com
Image process is a very helpful technology and in recent times it's experienced dramatic
steady growth. It relates to multiple and wide variety of platforms from medicine to statistics of …