960 Result(s)
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Article
Improved RF power performance via electrostatic shielding effect using AlGaN/GaN/graded-AlGaN/GaN double-channel structure
The direct current and radio frequency of DCGC-HEMT and DCTB-HEMT were systematically investigated. Owing to the utilization of a graded-AlGaN bottom barrier to provide more carriers and shield traps in the bu...
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Article
A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis
Barrett’s esophagus (BE) recognition is essential for the diagnosis of esophageal adenocarcinoma (EAC), a highly fatal disease when left untreated at earlier stages of cancer development. General endoscopists ...
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Article
Driver intention prediction based on multi-dimensional cross-modality information interaction
Driver intention prediction allows drivers to perceive possible dangers in the fastest time and has become one of the most important research topics in the field of self-driving in recent years. In this study,...
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Article
Open AccessLow-cost and high-performance abnormal trajectory detection based on the GRU model with deep spatiotemporal sequence analysis in cloud computing
Trajectory anomalies serve as early indicators of potential issues and frequently provide valuable insights into event occurrence. Existing methods for detecting abnormal trajectories primarily focus on compar...
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Article
Human body recognition based on the sparse point cloud data from MIMO millimeter-wave radar for smart home
Human body recognition is widely used in smart home. The current mainstream perception modalities, i.e., camera and wearable device, are vulnerable under challenging lighting conditions and poor convenience. O...
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Article
A new lightweight public key encryption with equality test for cloud storage
Public key encryption with equality test (PKEET) can test if two ciphertexts generated from different public keys contain the same message without decryption. In the application of cloud storage, PKEET could b...
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Article
Uncertainty Modeling for Group Re-Identification
Group re-identification (GReID) aims to correctly associate images containing the same group members captured with non-overlap** camera networks, which has important applications in video surveillance. Unlik...
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Article
Brightness-controlled enhancement for soil image based on conic curve
Soil images collected under different illumination conditions can be enhanced with a brightness-controlled enhancement algorithm, so that the result image is similar to the real image of the same soil photogra...
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Article
Sampling hypergraphs via joint unbiased random walk
Hypergraphs are instrumental in modeling complex relational systems that encompass a wide spectrum of high-order interactions among components. One prevalent analysis task is the properties estimation of large...
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Article
Efficient odd–even multigrid for pointwise incompressible fluid simulation on GPU
Fluid simulation is a well-established research field in computer graphics that aims to generate realistic and visually appealing simulations of fluids, including water, smoke, and fire. Divergence is identifi...
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Article
Open AccessTrajectory-based alignment for optical see-through HMD calibration
In order to align the virtual and real content precisely through augmented reality devices, especially in optical see-through head-mounted displays (OST-HMD), it is necessary to calibrate the device before usi...
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Article
AI for Supporting the Freedom of Drawing
Artificial intelligence (AI) has recently been develo** rapidly in image processing and generation. AI is not only starting to take over repetitive and tedious tasks but is also involved in creative activiti...
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Article
Hir-net: a simple and effective heterogeneous image restoration network
Image restoration refers to restoring the original image as much as possible from the damaged or degraded image. In recent years, deep learning-based methods have become the mainstream method for image restora...
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Article
Secure control and filtering for industrial metaverse
元宇宙可被视为一个社会化和虚拟化的网络空间, 与现实世界**行但互动. 得益于云计算和数字孪生的快速发展, 元宇宙**在将带有传统控制和滤波范式的工业自动化系统转变为信息物理社会融合系统. 在此情况下, 未来的工业自动化系统可能是在一定时间和空间范围内具有**大计算能力的现实世界系统与虚拟孪生系统的集成. 在该领域中, 元宇宙重点涉及信息传输管理、 用户的行为识别以及控制、 滤波和决策, 且性能和成本将是系统在网络空间和...
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Article
Discrete cross-modal hashing with relaxation and label semantic guidance
Supervised cross-modal hashing has attracted many researchers. In these studies, they seek a common semantic space or directly regress the zero-one label information into the Hamming space. Although they achie...
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Chapter and Conference Paper
Knowledge-Enhanced Recommendation System Design for Mechatronics IoT Cloud Platform
In recent years, with the rapid development of the Internet and the continuous maturation of artificial intelligence technology, mechatronics has embraced the Internet of Things and is progressively advancing ...
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Chapter and Conference Paper
Decoupled Contrastive Learning for Long-Tailed Distribution
Self-supervised contrastive learning is popularly used to obtain powerful representation models. However, unlabeled data in the real world naturally exhibits a long-tailed distribution, making the traditional ...
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Chapter and Conference Paper
Location Attention Knowledge Embedding Model for Image-Text Matching
Image-text matching is the core algorithm of cross-modal retrieval, which plays a central role in connecting vision and text. Due to the well-known semantic gap between visual and textual modalities, yet image...
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Chapter and Conference Paper
Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image
RGB-Infrared object detection in aerial images has gained significant attention due to its effectiveness in mitigating the challenges posed by illumination restrictions. Existing methods often focus heavily on...
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Chapter and Conference Paper
Learning-Without-Forgetting via Memory Index in Incremental Object Detection
Object detection has made significant progress in recent years. However, when the training data is continuous and dynamic, notorious catastrophic forgetting will occur. In addition, training together with old ...