Deep learning for time series forecasting: a survey
Time series forecasting has become a very intensive field of research, which is even
increasing in recent years. Deep neural networks have proved to be powerful and are …
increasing in recent years. Deep neural networks have proved to be powerful and are …
Real-time abnormal object detection for video surveillance in smart cities
With the adaptation of video surveillance in many areas for object detection, monitoring
abnormal behavior in several cameras requires constant human tracking for a single camera …
abnormal behavior in several cameras requires constant human tracking for a single camera …
Few-shot website fingerprinting attack with meta-bias learning
M Chen, Y Wang, X Zhu - Pattern Recognition, 2022 - Elsevier
Website fingerprinting (WF) attack aims to identify which website a user is visiting from the
traffic data patterns. Whilst existing methods assume many training samples, we investigate …
traffic data patterns. Whilst existing methods assume many training samples, we investigate …
Few-shot website fingerprinting attack
Website fingerprinting (WF) attack stands opposite against privacy protection in using the
Internet, even when the content details are encrypted, such as Tor networks. Whilst existing …
Internet, even when the content details are encrypted, such as Tor networks. Whilst existing …
TOP-ALCM: A novel video analysis method for violence detection in crowded scenes
Abstract Despite the Video Violence Detection (VVD) plays a critical role in video
surveillance, it is not trivial in crowded scenes due to the complexity and diversity of …
surveillance, it is not trivial in crowded scenes due to the complexity and diversity of …
Cultural and creative product design and image recognition based on the convolutional neural network model
S Han, Z Shi, Y Shi - Computational Intelligence and …, 2022 - Wiley Online Library
The development in technology has resulted in the utilization of artificial intelligence systems
in various fields. In this research, we are going to study cultural and creative product design …
in various fields. In this research, we are going to study cultural and creative product design …
Co-attention fusion based deep neural network for Chinese medical answer selection
Chinese selection is one of the most important subtasks in Chinese medical question-
answer system. To obtain the representations of question and answer, an attractive method …
answer system. To obtain the representations of question and answer, an attractive method …
Online deep learning based on auto-encoder
Online learning is an important technical means for sketching massive real-time and high-
speed data. Although this direction has attracted intensive attention, most of the literature in …
speed data. Although this direction has attracted intensive attention, most of the literature in …
Deep Convolutional Neural Network to improve the performances of screening process in LBVS
Drug design is a research process with a goal of creating a chemical drug to produce the
desired biological effect. Because of the long time and the high cost issues associated with …
desired biological effect. Because of the long time and the high cost issues associated with …
Hierarchical evolutionary classification framework for human action recognition using sparse dictionary optimization
Human action recognition using wearable sensors play a remarkable role in the province of
Human-centric Computing. This paper accords a novel sparse representation based …
Human-centric Computing. This paper accords a novel sparse representation based …