[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things

S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …

[HTML][HTML] Research on Adaptive 1DCNN Network Intrusion Detection Technology Based on BSGM Mixed Sampling

W Ma, C Gou, Y Hou - Sensors, 2023 - mdpi.com
The development of internet technology has brought us benefits, but at the same time, there
has been a surge in network attack incidents, posing a serious threat to network security. In …

A Novel Machine Learning Model for Efficacy Prediction of Immunotherapy-Chemotherapy in NSCLC Based on CT Radiomics

C Li, Z Zhou, L Hou, K Hu, Z Wu, Y Xie… - Computers in Biology …, 2024 - Elsevier
Lung cancer is categorized into two main types: non-small cell lung cancer (NSCLC) and
small cell lung cancer. Of these, NSCLC accounts for approximately 85% of all cases and …

Predictive modeling of deep vein thrombosis risk in hospitalized patients: A Q-learning enhanced feature selection model

R Li, S Chen, J Xia, H Zhou, Q Shen, Q Li… - Computers in Biology and …, 2024 - Elsevier
Deep vein thrombosis (DVT) represents a critical health concern due to its potential to lead
to pulmonary embolism, a life-threatening complication. Early identification and prediction of …

Predictive modeling for early detection of biliary atresia in infants with cholestasis: Insights from a machine learning study

X Chen, D Zhao, H Ji, Y Chen, Y Li, Z Zuo - Computers in Biology and …, 2024 - Elsevier
Cholestasis, characterized by the obstruction of bile flow, poses a significant concern in
neonates and infants. It can result in jaundice, inadequate weight gain, and liver dysfunction …

ResNet50-1D-CNN: A new lightweight resNet50-One-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in …

YK Saheed, OH Abdulganiyu, KU Majikumna… - International Journal of …, 2024 - Elsevier
The cyber-physical system (CPS) plays a crucial role in supporting critical infrastructure like
water treatment facilities, gas stations, air conditioning components, and smart grids, which …

A new machine learning model to predict the prognosis of cardiogenic brain infarction

X Yang, W Quan, J Zhou, O Zhang, X Wang… - Computers in Biology and …, 2024 - Elsevier
Cardiogenic cerebral infarction (CCI) is a disease in which the blood supply to the blood
vessels in the brain is insufficient due to atherosclerosis or stenosis of the coronary arteries …

AMSA-CAFF Net: Counting and high-quality density map estimation from X-ray images of electronic components

Z Zhang, L Zhang, H Zhang, Y Guo, H Wang… - Expert Systems with …, 2024 - Elsevier
Accurately estimating object numbers plays a crucial role in industrial applications.
However, object counting in computer vision poses a formidable challenge, particularly …

Hybrid rat swarm hunter prey optimization trained deep learning for network intrusion detection using CNN features

A Parameswari, R Ganeshan, V Ragavi… - Computers & …, 2024 - Elsevier
In recent years, the emerging growth of various network technologies, namely the cloud
computing, 5 G networks, Internet of Things (IoT), and so on resulted in the createion of huge …

Deep Learning based Network based Intrusion Detection System in Industrial Internet of Things

JAB Angelin, C Priyadharsini - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is the result of integrating the Internet of Things (IoT)
into critical industries, especially in industrial and production settings. The industrial Internet …