Search
Now showing items 1-5 of 5
SSH-Brute Force Attack Detection Model based on Deep Learning
(2021-01)
The rising number of malicious threats on computer networks and Internet services owing to a large number of attacks makes the network security be at incessant risk. One of the predominant network attacks that poses ...
A Survey of Deep Learning Solutions for Anomaly Detection in Surveillance Videos
(Asian Online Journals, 2021-10)
Deep learning has proven to be a landmark computing approach to the computer vision domain. Hence, it has been widely applied to solve complex cognitive tasks like the detection of anomalies in surveillance videos. Anomaly ...
Empirical Evaluation of Adaptive Optimization on the Generalization Performance of Convolutional Neural Networks
(2021-10)
Recently, deep learning based techniques have garnered significant interest and popularity in a variety of fields of research due to their effectiveness in search for an optimal solution given a finite amount of data. ...
Research Methods in Machine Learning: A Content Analysis
(2021-03)
Research methods in machine learning play a pivotal role since the accuracy and reliability of the results are influenced by the research methods used. The main aims of this paper were to explore current research methods ...
Using Feature Selection Methods to Discover Common Users’ Preferences for Online Recommender Systems
(2021-01)
Recommender systems have taken over user’s choice to choose the items/services they want from online markets, where lots of merchandise is traded. Collaborative filtering-based recommender systems uses user opinions and ...