Huaping Zhou
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View article: Enhanced pulmonary nodule detection using a transformer framework with dual fusion and gated mechanism
Enhanced pulmonary nodule detection using a transformer framework with dual fusion and gated mechanism Open
Pulmonary nodule detection is essential for the early diagnosis and prevention of lung cancer. Existing studies have proposed various enhancement algorithms tailored to pulmonary nodules, but small-sized nodules are still prone to false de…
View article: Small Object Detection in Remote Sensing Based on Contextual Information and Attention
Small Object Detection in Remote Sensing Based on Contextual Information and Attention Open
Many small objects, for instance vehicles and small ships, are encountered in remotely sensed images. However, small object detection has been a challenging task in remote sensing because of the problem that small objects are easily missed…
View article: Neighbor interaction-based personalised transfer for cross-domain recommendation
Neighbor interaction-based personalised transfer for cross-domain recommendation Open
Mapping-based cross-domain recommendation (CDR) can effectively tackle the cold-start problem in traditional recommender systems. However, existing mapping-based CDR methods ignore data-sparse users in the source domain, which may impact t…
View article: Traffic Sign Detection Based on Improved YOLOv5
Traffic Sign Detection Based on Improved YOLOv5 Open
As a popular research direction in the field of intelligent transportation, various scholars have widely concerned themselves with traffic sign detection However, there are still some key issues that need to be further solved in order to t…
View article: Collie: Finding Performance Anomalies in RDMA Subsystems
Collie: Finding Performance Anomalies in RDMA Subsystems Open
High-speed RDMA networks are getting rapidly adopted in the industry for their low latency and reduced CPU overheads. To verify that RDMA can be used in production, system administrators need to understand the set of application workloads …
View article: An Anchor-Free Network for Increasing Attention to Small Objects in High Resolution Remote Sensing Images
An Anchor-Free Network for Increasing Attention to Small Objects in High Resolution Remote Sensing Images Open
Aimed at the problems of small object detection in high resolution remote sensing images, such as difficult detection, diverse scales, and dense distribution, this study proposes a new method, DCE_YOLOX, which is more focused on small obje…
View article: D2-Net: Dilated Contextual Transformer and Depth-wise Separable Deconvolution for Remote Sensing Imagery Detection
D2-Net: Dilated Contextual Transformer and Depth-wise Separable Deconvolution for Remote Sensing Imagery Detection Open
Remote sensing-based object detection faces chal-lenges in arbitrary orientations, complex backgrounds, dense distributions, and large aspect ratios. Considering these issues, this paper introduces a novel method called D2-Net, which incor…
View article: A Full-Scale Feature Fusion Siamese Network for Remote Sensing Change Detection
A Full-Scale Feature Fusion Siamese Network for Remote Sensing Change Detection Open
Change detection (CD) is an essential and challenging task in remote sensing image processing. Its performance relies heavily on the exploitation of spatial image information and the extraction of change semantic information. Although some…
View article: Towards High Accuracy Pedestrian Detection on Edge GPUs
Towards High Accuracy Pedestrian Detection on Edge GPUs Open
Despite the rapid development of pedestrian detection algorithms, the balance between detection accuracy and efficiency is still far from being achieved due to edge GPUs (low computing power) limiting the parameters of the model. To addres…
View article: Ganster R-CNN: Occluded Object Detection Network Based on Generative Adversarial Nets and Faster R-CNN
Ganster R-CNN: Occluded Object Detection Network Based on Generative Adversarial Nets and Faster R-CNN Open
Object detection has shown noticeably rapid improvement, despite most existing methods still scrabbling in occluded object detection. In response to this problem, this paper proposes a method for occluded object detection called Ganster R-…
View article: Black-Box Based Limited Query Membership Inference Attack
Black-Box Based Limited Query Membership Inference Attack Open
Conventional membership inference attacks usually require a large number of queries of the target model when training shadow models, and this task becomes extremely difficult when the number of queries is limited. Aiming at the problem of …
View article: Pencil Drawing Generation Algorithm Based on GMED
Pencil Drawing Generation Algorithm Based on GMED Open
The automatic generation of pencil drawings from natural images has been a hot spot in the field of nonphotorealistic rendering in recent years and has attracted the attention of many scholars. Aiming at the characteristics of single line …
View article: Diabetes prediction model based on an enhanced deep neural network
Diabetes prediction model based on an enhanced deep neural network Open
Today, diabetes is one of the most common, chronic, and, due to some complications, deadliest diseases in the world. The early detection of diabetes is very important for its timely treatment since it can stop the progression of the diseas…
View article: AI based systems for diabetes treatment: a brief overview of the past and plans for the future
AI based systems for diabetes treatment: a brief overview of the past and plans for the future Open
Humanity continues to suffer from deadly diseases. Successes of science are great, but diseases that cannot be treated still exist. The only solution is to continue research in the search for drugs, as well as in methods of treating and pr…
View article: Parameters Optimization of SVM using the Dual Population ACO
Parameters Optimization of SVM using the Dual Population ACO Open
The support vector machine (SVM) parameters optimization of previous lacks of theoretical guidance. The algorithm is easy to fall into local optimum. The dual population ant colony algorithm is helpful to SVM parameters optimization in abi…
View article: A strategy to load balancing for non-connectivity MapReduce job
A strategy to load balancing for non-connectivity MapReduce job Open
MapReduce has been widely used in large scale and complex datasets as a kind of distributed programming model. Original Hash partitioning function in MapReduce often results the problem of data skew when data distribution is uneven. To sol…