Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network security

AB Mohammed, LC Fourati, AM Fakhrudeen - Computer Networks, 2023 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) have evolved into a pivotal component of
electronic devices deployed across a diverse array of sectors and industries in recent years …

[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection

R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …

Optimal deep learning neural network using ISSA for diagnosing the oral cancer

Q Huang, H Ding, N Razmjooy - Biomedical Signal Processing and Control, 2023 - Elsevier
Most cancers are not fatal if diagnosed early and treated with medication. But if cancer is not
diagnosed early and people do not start treatment, their lives may be in danger. Oral cancer …

[HTML][HTML] SqueezeNet for the forecasting of the energy demand using a combined version of the sewing training-based optimization algorithm

N Ghadimi, E Yasoubi, E Akbari, MH Sabzalian… - Heliyon, 2023 - cell.com
With the introduction of various loads and dispersed production units to the system in recent
years, the significance of precise forecasting for short, long, and medium loads have already …

Mixed local channel attention for object detection

D Wan, R Lu, S Shen, T Xu, X Lang, Z Ren - Engineering Applications of …, 2023 - Elsevier
Attention mechanism, one of the most extensively utilized components in computer vision,
can assist neural networks in emphasizing significant elements and suppressing irrelevant …

Hda-ids: A hybrid dos attacks intrusion detection system for iot by using semi-supervised cl-gan

S Li, Y Cao, S Liu, Y Lai, Y Zhu, N Ahmad - Expert Systems with …, 2024 - Elsevier
In recent years, the application of the internet of things (IoT) in areas such as intelligent
transportation, smart cities, and the industrial internet has become increasingly widespread …

Hybrid convolutional neural network and Flexible Dwarf Mongoose Optimization Algorithm for strong kidney stone diagnosis

H Liu, N Ghadimi - Biomedical Signal Processing and Control, 2024 - Elsevier
This study presents a novel approach to kidney stone diagnosis using convolutional neural
networks (CNN), applied to computed tomography (CT) images. The research addresses the …

Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation

Y Zhou, A Ji, L Zhang, X Xue - Engineering Applications of Artificial …, 2023 - Elsevier
Targeting the development of smart cities to facilitate the significant analysis of large-scale
urban for construction and update. This research develops a new method named transfer …

New bidirectional recurrent neural network optimized by improved Ebola search optimization algorithm for lung cancer diagnosis

MH Sabzalian, F Kharajinezhadian, AR Tajally… - … Signal Processing and …, 2023 - Elsevier
The early detection of cancerous and malignant lung cancer by medical imaging techniques,
CT-scan for example, which never needs to do sampling reduces the risk of cancer growth …

Breast cancer diagnosis based on hybrid SqueezeNet and improved chef-based optimizer

Q Huang, H Ding, M Effatparvar - Expert Systems with Applications, 2024 - Elsevier
The most frequent disease in women and the one that accounts for the majority of cancer-
related fatalities in females is breast cancer. An important milestone in breast cancer CAD …