Adel Binbusayyis

Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM

Adel Binbusayyis, Thavavel Vaiyapuri · Applied Intelligence · 2021 · 170 citations

Convolutional Autoencoder, Convolutional Neural Network, Anomaly Detection +10

Identifying and Benchmarking Key Features for Cyber Intrusion Detection: An Ensemble Approach

Adel Binbusayyis, Thavavel Vaiyapuri · IEEE Access · 2019 · 101 citations · Full text

Anomaly Detection, Machine Learning, Ensemble Approach +19

An investigation and comparison of machine learning approaches for intrusion detection in IoMT network

Adel Binbusayyis, Haya Alaskar, Thavavel Vaiyapuri et al. · The Journal of Supercomputing · 2022 · 86 citations · Full text

Iot Data Analytics, Engineering, Machine Learning +11

Cucumber Leaf Diseases Recognition Using Multi Level Deep Entropy-ELM Feature Selection

Muhammad Attique Khan, Abdullah Alqahtani, Aimal Khan et al. · Applied Sciences · 2022 · 70 citations · Full text

Convolutional Neural Network, Precision Agriculture, Engineering +22

Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation

Thavavel Vaiyapuri, Adel Binbusayyis · PeerJ Computer Science · 2020 · 59 citations · Full text

Anomaly Detection, Machine Learning, Engineering +17