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An Efficient DenseNet-Based Deep Learning Model for Malware Detection

Entropy (Basel, Switzerland), 2021-03, Vol.23 (3), p.344

2021

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A comprehensive survey of tools and techniques mitigating computer and mobile malware attacks

Computers & electrical engineering, 2021-06, Vol.92, p.107143, Article 107143

2021

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Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest Paradigm

IEEE access, 2020, Vol.8, p.206303-206324

2020

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Android Malware Detection and Classification using LOFO Feature Selection and Tree-based Models

Journal of physics. Conference series, 2021-05, Vol.1911 (1), p.12031

2021

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Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique

2019 International Carnahan Conference on Security Technology (ICCST), 2019, p.1-6

2019

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Radial basis function networks-based resource-aware offloading video analytics in mobile edge computing

Wireless networks, 2023-06

2023

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MalViT: An Approach to Enhancing Malware Detection

2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), 2024, p.1-8

2024

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Vision-Based Malware Detection and Classification Using Lightweight Deep Learning Paradigm

Computer Vision and Image Processing, p.62-73

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Exploring Tree-Based Machine Learning for Multi-Illness Prediction

2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 2024, Vol.1, p.1-6

2024

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Intelligent Human Anomaly Detection using LSTM Autoencoders

2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), 2024, p.1-7

2024

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Deep Learning-Based Fire and Smoke Detection System

2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE), 2024, p.1-6

2024

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Intelligent Malware Detection using Oblique Random Forest Paradigm

2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018, p.330-336

2018

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Intelligent Malware Detection and Classification using Boosted Tree Learning Paradigm

Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence, 2022, p.195-210

1, 2022

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An Efficient DenseNet-Based Deep Learning Model for Malware Detection

A comprehensive survey of tools and techniques mitigating computer and mobile malware attacks

Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest Paradigm

Android Malware Detection and Classification using LOFO Feature Selection and Tree-based Models

Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique

Radial basis function networks-based resource-aware offloading video analytics in mobile edge computing

MalViT: An Approach to Enhancing Malware Detection

Vision-Based Malware Detection and Classification Using Lightweight Deep Learning Paradigm

Exploring Tree-Based Machine Learning for Multi-Illness Prediction

Intelligent Human Anomaly Detection using LSTM Autoencoders

Deep Learning-Based Fire and Smoke Detection System

Intelligent Malware Detection using Oblique Random Forest Paradigm

Intelligent Malware Detection and Classification using Boosted Tree Learning Paradigm

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