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Deep learning approaches for detecting DDoS attacks: A systematic review
In today's world, technology has become an inevitable part of human life. In fact, during the
Covid-19 pandemic, everything from the corporate world to educational institutes has shifted …
Covid-19 pandemic, everything from the corporate world to educational institutes has shifted …
A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services
The advent of cloud computing has made a global impact by providing on-demand services,
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding
Research on depth-based human activity analysis achieved outstanding performance and
demonstrated the effectiveness of 3D representation for action recognition. The existing …
demonstrated the effectiveness of 3D representation for action recognition. The existing …
Understanding of convolutional neural network (cnn): A review
In recent years, deep learning technology has been used in various sectors. Deep learning
has developed human-like abilities, such as knowledge learning, problem-solving, and …
has developed human-like abilities, such as knowledge learning, problem-solving, and …
Skeleton-based online action prediction using scale selection network
Action prediction is to recognize the class label of an ongoing activity when only a part of it is
observed. In this paper, we focus on online action prediction in streaming 3D skeleton …
observed. In this paper, we focus on online action prediction in streaming 3D skeleton …
High‐accuracy dynamic gesture recognition: A universal and self‐adaptive deep‐learning‐assisted system leveraging high‐performance ionogels‐based strain …
Y Sun, J Huang, Y Cheng, J Zhang, Y Shi, L Pan - SmartMat, 2024 - Wiley Online Library
Gesture recognition utilizing flexible strain sensors is a highly valuable technology widely
applied in human–machine interfaces. However, achieving rapid detection of subtle motions …
applied in human–machine interfaces. However, achieving rapid detection of subtle motions …
A survey of methods for brain tumor segmentation-based MRI images
Brain imaging techniques play an important role in determining the causes of brain cell
injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge …
injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge …
[HTML][HTML] Weather and surface condition detection based on road-side webcams: Application of pre-trained convolutional neural network
Adverse weather has long been recognized as one of the major causes of motor vehicle
crashes due to its negative impact on visibility and road surface. Providing drivers with real …
crashes due to its negative impact on visibility and road surface. Providing drivers with real …
A survey on yogic posture recognition
Yoga has been a great form of physical activity and one of the promising applications in
personal health care. Several studies prove that yoga is used as one of the physical …
personal health care. Several studies prove that yoga is used as one of the physical …
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode
Computer vision has witnessed several advances in recent years, with unprecedented
performance provided by deep representation learning research. Image formats thus appear …
performance provided by deep representation learning research. Image formats thus appear …