Breast cancer detection using Resnet50

 Breast cancer is one of the leading causes of death in women. Early detection through breast ultrasound images is important and can be improved using machine learning models, which are more accurate and faster than manual methods. Previous research has shown that the use of the logistic regression, svm and random forest algorithms in breast can...

Breast cancer Breast cancer detection Resnet50 InceptionresnetV2 ResNet50-Based Effective Model for Breast Cancer

Breast cancer detection using Adaboost classifier

 Breast cancer is a deadly disease; an accurate and early diagnosis of breast cancer is the most efficient method to decrease the death rate. But, in the early detection and diagnosis of breast cancer, differentiating abnormal tissues is a challenging task. In this paper, a weight-based AdaBoost algorithm is proposed for an effective detection a...

Regression Neural Network (GRNN) Probabilistic Neural Network (PNN) Ada Booster Breast cancer convolutional neural network (CNN)

EARTHQUAKE PREDICTION ANALYSIS USING NEURAL NETWORK

 The recent scientific advances in understanding the hierarchical nature of the lithosphere and its dynamics based on systematic monitoring and evidence of its space-energy similarity at global, regional, and local scales did result the design of reproducible inter mediate term middle-range earthquake prediction technique. The real-time experimental...