This paper provides a summary of recent investigations on the use of algorithms based on deep learning for detecting and classifying breast cancer, with the goal of improving timely diagnosis and treatment outcomes. Machine learning has an accuracy of 91% in identifying cancer, whereas human specialists have an accuracy of just 79%. In this study, we analyze and contrast the two most current machine learning algorithms for detecting and classifying breast cancer: RetinaNet and YOLO (You Only Look Once). This study adds support to the theory that machine learning-based technologies may be able to make more precise diagnoses of cancer than human doctors. When compared to other breast cancer screening and categorization systems using prominent public datasets, RetinaNet and YOLO fared the best.

In power system stability plays a very important role and necessary to maintain the stability of system when different contingency applied. The Power system is very complex and interconnected this resulting into lower frequency oscillations due to variation in load which creates stability problems. Stability enhance by various controller and optimization technique. To eliminate the stability problems proposed PID structured TCSC controller used in SMIB system. Proposed work implements with MATLAB/ Simulink environment and the performance of the PID structured TCSC controller is compared for without and with GWO algorithm. Observations and results tested on different loading conditions as nominal, light and heavy loading. Different types of fault consider in different loading conditions and various types of graphs presented as speed deviation, power angle deviation etc. All contingencies tabulated and compare results without and with GWO algorithm. The system evaluation is done by time domain simulation using MATLAB/Simulink software. It is detected that the out of all algorithms GWO algorithm found more compatible for parameters reduces settling time and provide superior performance of the power system. Different simulation results are also obtained for various loading & fault conditions.