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A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering
(MDPI, 2022)
The Internet of Things (IoT) is a widely used technology in automated network systems across the world. The impact of the IoT on different industries has occurred in recent years. Many IoT nodes collect, store, and process ...
Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring
(NLM (Medline), 2022)
With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, ...
FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices
(Springer Science and Business Media Deutschland GmbH, 2023)
Background: Forests cover nearly one-third of the Earth’s land and are some of our most biodiverse ecosystems. Due to climate change, these essential habitats are endangered by increasing wildfires. Wildfires are not just ...
An efficient deep learning model for brain tumour detection with privacy preservation
(John Wiley and Sons Inc, 2023)
Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems ...
A Novel Parallel Computing Confidentiality Scheme Based on Hindmarsh-Rose Model
(Tech Science Press, 2023-08-30)
Due to the inherent insecure nature of the Internet, it is crucial to ensure the secure transmission of image data over this network. Additionally, given the limitations of computers, it becomes even more important to ...