[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient Intrusion …
security of interconnected devices and networks. This necessitates the use of efficient Intrusion …
An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
Introduction Recently, plant disease detection and diagnosis procedures have become a
primary agricultural concern. Early detection of plant diseases enables farmers to take …
primary agricultural concern. Early detection of plant diseases enables farmers to take …
[HTML][HTML] TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks
The Internet of Things (IoT) is a global network that connects a large number of smart
devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to-machine …
devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to-machine …
[PDF][PDF] A hybrid deep learning-based intrusion detection system for IoT networks
NW Khan, MS Alshehri, MA Khan, S Almakdi… - Math. Biosci …, 2023 - aimspress.com
The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential
applications, but the security of IoT networks remains a major concern. The existing system …
applications, but the security of IoT networks remains a major concern. The existing system …
Privacy-enhanced pneumonia diagnosis: IoT-enabled federated multi-party computation in industry 5.0
Pneumonia is a significant global health concern that can lead to severe and sometimes
fatal consequences. Timely identification and classification of pneumonia can substantially …
fatal consequences. Timely identification and classification of pneumonia can substantially …
[PDF][PDF] Automatic neonatal sleep stage classification: A comparative study
Sleep is an essential feature of living beings. For neonates, it is vital for their mental and
physical development. Sleep stage cycling is an important parameter to assess neonatal brain …
physical development. Sleep stage cycling is an important parameter to assess neonatal brain …
FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices
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 …
biodiverse ecosystems. Due to climate change, these essential habitats are endangered by …
[HTML][HTML] Returning to sport after anterior cruciate ligament reconstruction in physically active individuals
…, A Alshibely, AA Dabroom, HM Algarni, MS Alshehri - Cureus, 2020 - ncbi.nlm.nih.gov
Background Physically active individuals are susceptible to sports injuries, one of which is
anterior cruciate ligament (ACL) injury. ACL injury can be managed conservatively or by …
anterior cruciate ligament (ACL) injury. ACL injury can be managed conservatively or by …
An efficient secure system for fetching data from the outsourced encrypted databases
Recently, database users have begun to use cloud database services to outsource their
databases. The reason for this is the high computation speed and the huge storage capacity that …
databases. The reason for this is the high computation speed and the huge storage capacity that …
An Intelligent Load Balancing Technique for Software Defined Networking based 5G using Macine Learning models
The emergence of two new technologies, namely software defined networking (SDN) and
5G networks, has greatly changed the development of network functions and network …
5G networks, has greatly changed the development of network functions and network …