[HTML][HTML] A survey of malware detection using deep learning

A Bensaoud, J Kalita, M Bensaoud - Machine Learning With Applications, 2024 - Elsevier
The problem of malicious software (malware) detection and classification is a complex task,
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …

Malware detection using deep learning techniques

A Bensaoud - 2023 - search.proquest.com
Abstract Recently, millions of Social Security Numbers have been compromised, credit card
numbers stolen, drones hijacked, and nuclear centrifuges hacked. These cyber-attacks and …

DOD-CNN: Doubly-injecting object information for event recognition

H Lee, S Eum, H Kwon - ICASSP 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Recognizing an event in an image can be enhanced by detecting relevant objects in two
ways: 1) indirectly utilizing object detection information within the unified architecture or 2) …

S-DOD-CNN: Doubly injecting spatially-preserved object information for event recognition

H Lee, S Eum, H Kwon - ICASSP 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
We present a novel event recognition approach called Spatially-preserved Doubly-injected
Object Detection CNN (S-DOD-CNN), which incorporates the spatially preserved object …

Identify seismically vulnerable unreinforced masonry buildings using deep learning

S Khan, A Lang, C Salvaggio - Applications of Machine …, 2021 - spiedigitallibrary.org
Every year, 60,000 lives are lost worldwide from disasters. 1 Building collapse during
earthquakes account for the majority of these deaths. 2 Unreinforced masonry (URM) …

[图书][B] The Use of Deep Learning Methods to Assist in the Classification of Seismically Vulnerable Dwellings

S Khan - 2020 - search.proquest.com
Exciting research is being conducted using Google's Street View imagery. Researchers can
have access to training data that allows CNN training for topics ranging from assessing …

An optimal end-to-end training strategy for multi-expert-based neural architecture

H Lee, H Kwon - … Intelligence and Machine Learning for Multi …, 2020 - spiedigitallibrary.org
Recently, we introduced a state-of-the-art object detection approach referred to as Multi-
Expert R-CNN (ME R-CNN) that featured multiple expert classifiers, each being responsible …