Neural Network (ANN), Boosting, k-Nearest Neighbours (k-NN), and so forth. All of them are popular machine learning …

, this paper presents the malicious application detection and classification system using machine learning techniques by … applications with machine learning algorithms. They have achieved the malicious application detection and classification accuracy … of 98.2% and 87.3%, respectively with machine learning techniques. …

behind the verbal behavior. The current work is based on previous work on machine learning for individual performance … that are evident and stereotyped. The works of Leo Kanner and Ángel Riviere are also considered here. Using machine … learning and neural nets with certain set of parameters, it is possible to automatically detect patterns in audio and video …

about all aspects of surgical patient management. Many machine learning models were developed after pre-processing and …