Scientific Research Publishing

Saied, M., Guirguis, S. and Madbouly, M. (2023) A Comparative Study of Using Boosting-Based Machine Learning Algorithms for IoT Network Intrusion Detection. International ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Scientific Research Publishing

Performance Evaluation of Soft Computing Techniques in Blast-Induced Predictions: The Case of Backbreak ()

1 Department of Mining Engineering, Faculty of Mining and Minerals Technology, University of Mines and Technology (UMaT), Tarkwa, Ghana. 2 Department of Mining Systems and Rock Engineering, Division ...
IEEE

Bi-PIL: Bidirectional Gradient-Free Learning Scheme for Multilayer Neural Networks

Abstract: Training deep neural networks typically relies on gradient descent learning schemes, which is usually time-consuming, and the design of complex network architectures is often intractable. In ...
insideHPC

RMSprop Optimization Algorithm for Gradient Descent with Neural Networks

A big part of AI and Deep Learning these days is the tuning/optimizing of the algorithms for speed and accuracy. Much of today’s deep learning algorithms involve the use of the gradient descent ...