GABRIEL AMAIZU
Title 1: Hybrid Deep Neural Network for Malicious DNS Infiltration Detection System (Co-worked with Dani)
Target: Haedong Award (Submitted)
Title 2: A Composite and Efficient DDoS Attack Detection Framework for B5G
Target: Computer Networks (Accepted)
Title 3: A Hybrid Filter-wrapper-based Feature Selection Approach for Cost-Efficient DDoS Attack Detection
Target: IEEE Internet of Things (Submitted)
Title 4: A Two-Stage Classification Technique for Malicious DNS Identification
Target: ICAIIC (Submitted)
Title 5: Thesis (Title not fixed yet)
Title 2:
[1] Responded to publication queries.
Title 3:
[1] Made some English corrections
[2] resubmitted to IEEE IoT
Title 5:
[1] Paper survey
Title 2:
[1] Upload final draft for publication
Title 5:
[1] I will look to fixing the title and scope of my thesis
Machine Vision based 3D printer Inspector in Large-Scale Manufacturing Environment
[1] Generated a new dataset as the old one had some drawbacks
[1] Analyze the generated dataset then run various machine learning algorithm to ascertain the best performing model
[1] Getting my feet wet with the various NSL tools/apparatus.
[2] Review/subsequent upgrade of my skill set.
[3] Deep dive into Machine Learning
[1] Writing and submitting at the very least three international papers (conference and journal)