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A review of convolutional neural networks in computer vision
In computer vision, a series of exemplary advances have been made in several areas
involving image classification, semantic segmentation, object detection, and image super …
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
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 …
presumed grade dictating treatment. Hence, a non-invasive assessment of tumor grade is of …
Explainable artificial intelligence in cybersecurity: A survey
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 …
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
The volume, type, and sophistication of malware is increasing. Deep convolutional neural
networks (CNNs) have lately proven their effectiveness in malware binary detection through …
networks (CNNs) have lately proven their effectiveness in malware binary detection through …
Image-Based malware classification using ensemble of CNN architectures (IMCEC)
Both researchers and malware authors have demonstrated that malware scanners are
unfortunately limited and are easily evaded by simple obfuscation techniques. This paper …
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
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 …
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 …
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
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …
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 …
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
The rapid expansion of AI-enabled Internet of Things (IoT) devices presents significant
security challenges, impacting both privacy and organizational resources. The dynamic …
security challenges, impacting both privacy and organizational resources. The dynamic …