Tao Gong
YOU?
Author Swipe
View article: WindDefNet: A Multi-Scale Attention-Enhanced ViT-Inception-ResNet Model for Real-Time Wind Turbine Blade Defect Detection
WindDefNet: A Multi-Scale Attention-Enhanced ViT-Inception-ResNet Model for Real-Time Wind Turbine Blade Defect Detection Open
Real-time non-intrusive monitoring of wind turbines, blades, and defect surfaces poses a set of complex challenges related to accuracy, safety, cost, and computational efficiency. This work introduces an enhanced deep learning-based framew…
View article: Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning
Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Open
PAD and FFD are proposed to protect face data from physical media-based Presentation Attacks and digital editing-based DeepFakes, respectively. However, isolated training of these two models significantly increases vulnerability towards un…
View article: FTLNet: federated deep learning model for multi-horizon wind power forecasting
FTLNet: federated deep learning model for multi-horizon wind power forecasting Open
In the competitive market of wind power forecasting, ensuring data security while enhancing forecasting accuracy is crucial. Federated learning emerges as a key solution to these challenges, offering a way to preserve data privacy and secu…
View article: Feature fusion temporal convolution: Wind power forecasting with light hyperparameter optimization
Feature fusion temporal convolution: Wind power forecasting with light hyperparameter optimization Open
View article: When Allies Turn Foes: Exploring Group Characteristics of LLM-Based Multi-Agent Collaborative Systems Under Adversarial Attacks
When Allies Turn Foes: Exploring Group Characteristics of LLM-Based Multi-Agent Collaborative Systems Under Adversarial Attacks Open
View article: FTDGT: Federated Temporal Dense Granular Transformer‐Based Wind Power Forecasting in Medium and Long Term
FTDGT: Federated Temporal Dense Granular Transformer‐Based Wind Power Forecasting in Medium and Long Term Open
Power forecasting is pivotal for ensuring the stability and efficiency of electrical systems. With the rapid advancements in deep learning techniques, their application to power forecasting has gained considerable momentum. This paper intr…
View article: Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization
Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localization Open
With the advancement of face manipulation technology, forgery images in multi-face scenarios are gradually becoming a more complex and realistic challenge. Despite this, detection and localization methods for such multi-face manipulations …
View article: Crop HTP Technologies: Applications and Prospects
Crop HTP Technologies: Applications and Prospects Open
In order to rapidly breed high-quality varieties, an increasing number of plant researchers have identified the functions of a large number of genes, but there is a serious lack of research on plants’ phenotypic traits. This severely hampe…
View article: An Analysis and Improvement Scheme for the Weakness of Kerberos V5 Authentication
An Analysis and Improvement Scheme for the Weakness of Kerberos V5 Authentication Open
The security protocol of network system can ensure the reliability of network communication. Kerberos protocol is a kind of security verification mechanism based on shared key, which has been adopted for a long time on the Internet. This t…
View article: A Transit Tilt and Offset Errors Calibration Method for Improving Laser Tracker Measurement Accuracy Based on the Telecentric Measurement System
A Transit Tilt and Offset Errors Calibration Method for Improving Laser Tracker Measurement Accuracy Based on the Telecentric Measurement System Open
Laser trackers are instruments used to measure the three-dimensional coordinates of objects with high precision. It is necessary to study calibration methods to identify geometric errors of laser trackers so as to compensate for errors and…
View article: Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues
Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues Open
How to effectively interact audio with vision has garnered considerable interest within the multi-modality research field. Recently, a novel audio-visual segmentation (AVS) task has been proposed, aiming to segment the sounding objects in …
View article: Anticipating for Smart Healthcare System by Deep Ensemble Model Using Multi-Layer Perceptron in Early Human Facial Emotion Recognition
Anticipating for Smart Healthcare System by Deep Ensemble Model Using Multi-Layer Perceptron in Early Human Facial Emotion Recognition Open
View article: Similarity Distribution Density: An Optimized Approach to Outlier Detection
Similarity Distribution Density: An Optimized Approach to Outlier Detection Open
When dealing with uncertain data, traditional model construction methods often ignore or filter out noise data to improve model performance. However, this simple approach can lead to insufficient data utilization, model bias, reduced detec…
View article: Denying Evolution Resampling: An Improved Method for Feature Selection on Imbalanced Data
Denying Evolution Resampling: An Improved Method for Feature Selection on Imbalanced Data Open
Imbalanced data classification is an important problem in the field of computer science. Traditional classification algorithms often experience a decrease in accuracy when the data distribution is uneven. Therefore, measures need to be tak…
View article: Hydraulic Rock Drill Fault Classification Using X−Vectors
Hydraulic Rock Drill Fault Classification Using X−Vectors Open
Hydraulic rock drills are widely used in drilling, mining, construction, and engineering applications. They typically operate in harsh environments with high humidity, large temperature differences, and vibration. Under the influence of en…
View article: Current status and research trends of textile wastewater treatments—A bibliometric-based study
Current status and research trends of textile wastewater treatments—A bibliometric-based study Open
While introducing new technology has completely transformed the textile production process, the rapid pace of massive industrialization has increased the volume of wastewater, which is highly hazardous. Even though the textile industry is …
View article: A Bibliometric Analysis of Antibacterial Textiles
A Bibliometric Analysis of Antibacterial Textiles Open
Scientists worldwide are always interested in making new discoveries; thus, the scientific literature has been growing exponentially. Keeping abreast of the body of literature at a rapidly advancing pace poses significant challenges to act…
View article: Bibliometric Analysis of Artificial Intelligence in Textiles
Bibliometric Analysis of Artificial Intelligence in Textiles Open
Generally, comprehensive documents are needed to provide the research community with relevant details of any research direction. This study conducted the first descriptive bibliometric analysis to examine the most influential journals, ins…
View article: Temporal RoI Align for Video Object Recognition
Temporal RoI Align for Video Object Recognition Open
Video object detection is challenging in the presence of appearance deterioration in certain video frames. Therefore, it is a natural choice to aggregate temporal information from other frames of the same video into the current frame. Howe…
View article: Mining Contextual Information Beyond Image for Semantic Segmentation
Mining Contextual Information Beyond Image for Semantic Segmentation Open
This paper studies the context aggregation problem in semantic image segmentation. The existing researches focus on improving the pixel representations by aggregating the contextual information within individual images. Though impressive, …
View article: Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature
Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature Open
Over the past several years, in order to solve the problem of malicious abuse of facial manipulation technology, face manipulation detection technology has obtained considerable attention and achieved remarkable progress. However, most exi…
View article: Seesaw Loss for Long-Tailed Instance Segmentation
Seesaw Loss for Long-Tailed Instance Segmentation Open
Instance segmentation has witnessed a remarkable progress on class-balanced benchmarks. However, they fail to perform as accurately in real-world scenarios, where the category distribution of objects naturally comes with a long tail. Insta…
View article: Real-Time Quality Assessment of Neppy Mélange Yarn Manufacturing Using Macropixel Analysis
Real-Time Quality Assessment of Neppy Mélange Yarn Manufacturing Using Macropixel Analysis Open
The aim of this paper is to provide a simple MATLAB-based model to determine the real-time homogeneity of neppy mélange yarn fabrics. Currently, the mélange yarn industry relies solely on visual assessment and experience. This algorithm, h…
View article: A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis
A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis Open
Multiple-object tracking and behavior analysis have been the essential parts of surveillance video analysis for public security and urban management. With billions of surveillance video captured all over the world, multiple-object tracking…
View article: The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016)
The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016) Open