A new deep boosted CNN and ensemble learning based IoT malware detection

A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

(2023) Asifullah Khan et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

MCTVD: A malware classification method based on three-channel visualization and deep learning

(2023) Huaxin Deng et al.   COMPUTERS & SECURITY

COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs

(2023) Saddam Hussain Khan et al.   EXPERT SYSTEMS WITH APPLICATIONS

An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks

(2022) Iman Almomani et al.   IEEE Access

Deep Learning based Cross Architecture Internet of Things malware Detection and Classification

(2022) Rajasekhar Chaganti et al.   COMPUTERS & SECURITY

A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI

(2022) Mirza Mumtaz Zahoor et al.   SENSORS

Malaria Parasite Classification Framework using a Novel Channel Squeezed and Boosted CNN

(2022) Saddam Hussain Khan et al.   Microscopy

An in-depth review of machine learning based Android malware detection

(2022) Ali Muzaffar et al.   COMPUTERS & SECURITY

IoT malware detection architecture using a novel channel boosted and squeezed CNN

(2022) Muhammad Asam et al.   Scientific Reports

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier

(2022) Umme Zahoora et al.   Scientific Reports

Attention guided multi-scale deep object detection framework for lymphocyte analysis in IHC histology images

(2022) Zunaira Rauf et al.   Microscopy

A comprehensive survey on deep learning based malware detection techniques

(2022) Gopinath M. et al.   Computer Science Review

Q-learning and LSTM based deep active learning strategy for malware defense in industrial IoT applications

(2021) Sunder Ali Khowaja et al.   MULTIMEDIA TOOLS AND APPLICATIONS

The evolution of IoT Malwares, from 2008 to 2019: Survey, taxonomy, process simulator and perspectives

(2021) Benjamin Vignau et al.   JOURNAL OF SYSTEMS ARCHITECTURE

Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning

(2021) Muhammad Asam et al.   Applied Sciences-Basel

Detection of tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN

(2021) Muhammad Mohsin Zafar et al.   Photodiagnosis and Photodynamic Therapy

End-to-end malware detection for android IoT devices using deep learning

(2020) Zhongru Ren et al.   Ad Hoc Networks

Malware detection in industrial internet of things based on hybrid image visualization and deep learning model

(2020) Hamad Naeem et al.   Ad Hoc Networks

CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

(2020) Muhammad Shafiq et al.   IEEE Internet of Things Journal

DL-Droid: Deep learning based android malware detection using real devices

(2019) Mohammed K. Alzaylaee et al.   COMPUTERS & SECURITY

Internet of underground things in precision agriculture: Architecture and technology aspects

(2018) Mehmet C. Vuran et al.   Ad Hoc Networks

The Internet of Things for Health Care: A Comprehensive Survey

(2015) S. M. Riazul Islam et al.   IEEE Access