5,917 Result(s)
within
**u Tao
Computer Science
-
Article
M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices
Railway signaling electromechanical devices (RSEDs) play a pivotal role in the railway industry. Normal wear and tear of these devices occur during day-and-night operation and even progressively develop into f...
-
Article
A new virtual interpolation technology with range as object
Virtual interpolation technology can be applied to direction-of-arrival (DOA) estimation as a preprocessing technique to achieve the DOA estimation for any array. In order to solve the angle-sensitive problem ...
-
Article
SPD-YOLOv8: an small-size object detection model of UAV imagery in complex scene
Traditional camera sensors rely on human observation. However, in complex scenes, people often experience fatigue when observing objects of various sizes. Moreover, human cognitive abilities have inherent limi...
-
Article
Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers
Unsupervised cross-modal hashing (UCMH) has been commonly explored to support large-scale cross-modal retrieval of unlabeled data. Despite promising progress, most existing approaches are developed on convolut...
-
Article
Softmax-Free Linear Transformers
Vision transformers (ViTs) have pushed the state-of-the-art for visual perception tasks. The self-attention mechanism underpinning the strength of ViTs has a quadratic complexity in both computation and memory...
-
Article
Does Confusion Really Hurt Novel Class Discovery?
When sampling data of specific classes (i.e., known classes) for a scientific task, collectors may encounter unknown classes (i.e., novel classes). Since these novel classes might be valuable for future research,...
-
Article
Graph neural ordinary differential equations for epidemic forecasting
Develo** a practical model for predicting the dynamics of epidemic spread is critical, the results of which can be used to evaluate the effectiveness of prevention and control measures as well as the allocat...
-
Article
Open AccessThreshold ring signature: generic construction and logarithmic size instantiation
A ring signature is a variant of normal digital signature and protects the privacy of a specific signer in the sense that a ring signature can be verified, but the signer’s identity can only be traced to a lim...
-
Article
A full-detection association tracker with confidence optimization for real-time multi-object tracking
Multi-object tracking (MOT) aims to obtain trajectories with unique identifiers for multiple objects in a video stream. In current approaches, confidence thresholds were frequently used to perform multi-stage ...
-
Article
DML-YOLOv8-SAR image object detection algorithm
Given the challenges posed by noise and varying target scales in SAR images, conventional convolutional neural networks often underperform in SAR image detection. To address this, this paper introduces a novel...
-
Article
FEF-Net: feature enhanced fusion network with crossmodal attention for multimodal humor prediction
Humor segment prediction in video involves the comprehension and analysis of humor. Traditional humor prediction has been text-based; however, with the evolution of multimedia, the focus has shifted to multimo...
-
Article
A comparative study of software defect binomial classification prediction models based on machine learning
As information technology continues to advance, software applications are becoming increasingly critical. However, the growing size and complexity of software development can lead to serious flaws resulting in...
-
Article
Using improved YOLO V5s to recognize tomatoes in a continuous working environment
In the continuous working environment of the picking robots, factors such as illumination change, camera hardware, the movement of the picking robots, and image background interference have a great impact on t...
-
Article
Multi-scale deep echo state network for time series prediction
Echo state network (ESN) has widely attracted many researchers due to its training process without backpropagation. However, it is hard for single ESN to fit those complex and polytrophic situations. Under thi...
-
Article
REDQT: a method for automated mobile application GUI testing based on deep reinforcement learning algorithms
As mobile applications become increasingly prevalent in daily life, the demand for their functionality and reliability continues to grow. Traditional mobile application testing methods, particularly graphical ...
-
Article
Quasisynchronization of reaction-diffusion neural networks with time-varying delays by static/dynamic event-triggered control and its application to secure communication
This paper studies the quasisynchronization problems of reaction-diffusion neural networks (RDNNs) with time-varying delays via event-triggered control. Firstly, a static event-triggered mechanism and a dynami...
-
Article
Preference detection of the humanoid robot face based on EEG and eye movement
The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection belongs to a branch of emotion recognition that has received mu...
-
Article
A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions
Bicycle sharing systems are becoming highly popular and there have accumulated a large volume of users’ trajectory data. In a bicycle sharing system, most users’ borrowing and returning behaviors are arbitrary...
-
Article
A depression detection model based on multimodal graph neural network
Depression is a prevalent mental illness, especially major depression, which has a negative impact on individuals and society. In clinical practice, doctors diagnose depression primarily based on self-reported...
-
Article
FARLut: a two-stage tobacco foreign body detection model incorporating color information and attention mechanism
Accurate detection and rejection of debris in tobacco products play an essential part in ensuring the quality of tobacco products. In recent years, the detection of detritus in the production process has been ...
