299 Result(s)
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Article
Precision in pursuit: a multi-consistency joint approach for infrared anti-UAV tracking
In addition to addressing issues commonly encountered in generic visual object tracking, this task endeavors necessitates co** with the diminutive characteristics of infrared UAV targets, potential discontin...
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Article
Multiscale dilated convolution and swin-transformer for small sample gearbox fault diagnosis
Mechanical equipment usually operates in noisy and variable load environments, which presents serious challenges for existing intelligent diagnostic models. In addition, there are few labelled fault samples in...
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Article
Open AccessBlocklength Allocation and Power Control in UAV-Assisted URLLC System via Multi-agent Deep Reinforcement Learning
Integration of unmanned aerial vehicles (UAVs) with ultra-reliable and low-latency communication (URLLC) systems can improve the real-time communication performance for various industrial internet of things (I...
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Article
Hierarchical Pyramid Fuzzy System Design: Constructing a Concise System with Automatically Determined Rule Number
In many applications of fuzzy modeling, not only high accuracy but also high interpretability is needed. It is usually difficult to determine the number of fuzzy rules. This paper seeks to address these issues...
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Article
TextFormer: A Query-based End-to-end Text Spotter with Mixed Supervision
End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified framework. Typical methods heavily rely on region-of-interest (RoI) operation...
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Chapter and Conference Paper
CLIP-Based Composed Image Retrieval with Comprehensive Fusion and Data Augmentation
Composed image retrieval (CIR) is a challenging task where the input query consists of a reference image and its corresponding modification text. Recent methodologies harness the prowess of visual-language pre...
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Chapter and Conference Paper
Long-Term Trajectory Prediction Based on Intent Mode Inference for Hypersonic Gliding Targets
To improve the accuracy of long-term trajectory prediction of hypersonic gliding vehicles (HGVs), attack and behavior intent of target were estimated and predicted given tracking data. A trajectory prediction ...
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Chapter and Conference Paper
The Practice of Artificial Intelligence Education for Non-computer Science Majors in Universities
Due to the extensive impact of AI technology on various disciplines, universal AI education has become an urgent demand, while the liberal education in AI is still in its infancy, plagued by multiple problems ...
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Chapter and Conference Paper
Incorporating Spiking Neural Network for Dynamic Vision Emotion Analysis
In the domain of affective computing, researchers have sought to enhance the performance of models and algorithms by leveraging the complementarity of multimodal information. However, the rapid emergence of ne...
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Chapter and Conference Paper
Fault-Tolerant Control for ROV Path Tracking Based on Thrust Distribution Strategy
In order to solve the problem that the remote operated vehicle (ROV) receives complex interference when working underwater, which leads to the fault of the propeller, the path tracking of ROV with fault-tolera...
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Chapter and Conference Paper
EHA3D: Expressive Head Avatar via Disentangled Latent Code
Current NeRF-based head avatars typically use either explicit mesh representations based on head templates or implicit expressive coefficients derived from head templates as driving signals. Although these app...
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Chapter and Conference Paper
DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer
Automated and accurate classification of histopathological images of pancreatic cancer can lead to higher survival rates for more pancreatic cancer patients in the clinic. However, there are very scarce existi...
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Chapter and Conference Paper
Statistal Methods of Bus Passenger Flow Based on Improved YOLOv5s and DeepSORT Algorithms
Aiming at the problem of low tracking accuracy in the statistics of bus passengers getting on and off, an improved passenger flow statistics algorithm based on YOLOv5s combined with DeepSORT is proposed. The G...
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Chapter and Conference Paper
Autonomous Underwater Vehicle Navigation Based on iWOA-UFastSLAM
Unscented FastSLAM (UFastSLAM) is a crucial method for achieving fully autonomous navigation in Autonomous Underwater Vehicles (AUVs). To address the problem of decreased navigation accuracy caused by particle...
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Chapter and Conference Paper
PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers in the word. However, the diverse microenvironment, unclear boundaries, integrity destruction inter the slices, and enormous individual d...
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Article
Vulnerable point detection and repair against adversarial attacks for convolutional neural networks
Recently, convolutional neural networks have been shown to be sensitive to artificially designed perturbations that are imperceptible to the naked eye. Whether it is image classification, semantic segmentation...
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Article
Semi-supervised medical imaging segmentation with soft pseudo-label fusion
Segmentation is an essential task in modern medical imaging analysis. Since the scarcity of labeled pixel-level annotations often limits its wide applications, recent studies have proposed Semi-supervised Lear...
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Article
Optimal Design and Mechanical Simulation of Rubber bushing with Convex Hull Structure Based on Bionics
Inspired by the safe landing of cats falling from high altitudes, a bionic flexible rubber bushing structure is proposed and its motion characteristics are systematically studied to explore its potential appli...
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Article
Several classes of p-ary linear codes with few weights
Linear codes constructed from defining sets have been extensively studied since they may have good parameters if the defining sets are chosen properly. Let ...
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Article
Research on prediction of power market credit system based on linear model and improved BP neural network
With the continuous economic growth, the number of power customers has increased significantly, and consumers in the field of power marketing will inevitably have a credit crisis. In order to reduce the busine...
