A review of convolutional neural networks in computer vision

X Zhao, L Wang, Y Zhang, X Han, M Deveci… - Artificial Intelligence …, 2024 - Springer
In computer vision, a series of exemplary advances have been made in several areas
involving image classification, semantic segmentation, object detection, and image super …

[HTML][HTML] Brain tumor diagnosis using machine learning, convolutional neural networks, capsule neural networks and vision transformers, applied to MRI: a survey

AA Akinyelu, F Zaccagna, JT Grist, M Castelli… - Journal of …, 2022 - mdpi.com
Management of brain tumors is based on clinical and radiological information with
presumed grade dictating treatment. Hence, a non-invasive assessment of tumor grade is of …

Explainable artificial intelligence in cybersecurity: A survey

N Capuano, G Fenza, V Loia, C Stanzione - Ieee Access, 2022 - ieeexplore.ieee.org
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture

D Vasan, M Alazab, S Wassan, H Naeem, B Safaei… - Computer Networks, 2020 - Elsevier
The volume, type, and sophistication of malware is increasing. Deep convolutional neural
networks (CNNs) have lately proven their effectiveness in malware binary detection through …

Image-Based malware classification using ensemble of CNN architectures (IMCEC)

D Vasan, M Alazab, S Wassan, B Safaei, Q Zheng - Computers & Security, 2020 - Elsevier
Both researchers and malware authors have demonstrated that malware scanners are
unfortunately limited and are easily evaded by simple obfuscation techniques. This paper …

Brain tumor classification using fine-tuned GoogLeNet features and machine learning algorithms: IoMT enabled CAD system

A Sekhar, S Biswas, R Hazra… - IEEE journal of …, 2021 - ieeexplore.ieee.org
In the healthcare research community, Internet of Medical Things (IoMT) is transforming the
healthcare system into the world of the future internet. In IoMT enabled Computer aided …

Artificial intelligence image recognition method based on convolutional neural network algorithm

Y Tian - Ieee Access, 2020 - ieeexplore.ieee.org
As an algorithm with excellent performance, convolutional neural network has been widely
used in the field of image processing and achieved good results by relying on its own local …

Image-based malware classification using VGG19 network and spatial convolutional attention

MJ Awan, OA Masood, MA Mohammed, A Yasin… - Electronics, 2021 - mdpi.com
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …

MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things

S Kumar - Future Generation Computer Systems, 2021 - Elsevier
With ever-increasing, internet-connected devices provide an opportunity to fulfil the
attacker's malicious intention. They use malicious programs to compromise the devices and …

Deep learning hybridization for improved malware detection in smart Internet of Things

AA Almazroi, N Ayub - Scientific reports, 2024 - nature.com
The rapid expansion of AI-enabled Internet of Things (IoT) devices presents significant
security challenges, impacting both privacy and organizational resources. The dynamic …