253 Result(s)
within
English
Computer Science
Artificial Intelligence
Zhigang **
Chapter
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Chapter and Conference Paper
DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste
The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and pastes it onto the current training data frame to increase the number of training object samples. However, the samples used by MoC...
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Chapter and Conference Paper
FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease Detection
Congenital heart disease (CHD) is the most common congenital malformation and imaging examination is an important means to diagnose it. Currently, deep learning-based methods have achieved remarkable results i...
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Chapter and Conference Paper
Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net
Single-channel speech enhancement research in complex industrial production environments is limited. Current methods, whether based on attention mechanisms or generative adversarial networks, primarily focus o...
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Chapter and Conference Paper
RTMDet-R2: An Improved Real-Time Rotated Object Detector
Object detection in remote sensing images is challenging due to the absence of visible features and variations in object orientation. Efficient detection of objects in such images can be achieved using rotated...
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Chapter and Conference Paper
CSFuser: A Cascade Siamese Fusion Architecture for RGB-Infrared Object Detection
RGB-Infrared multi-modal object detection harnesses diverse and complementary information from RGB and infrared images, offering significant advantages in intelligent transportation. The primary challenge lies...
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Chapter and Conference Paper
False Negative Sample Aware Negative Sampling for Recommendation
Negative sampling plays a key role in implicit feedback collaborative filtering. It draws high-quality negative samples from a large number of uninteracted samples. Existing methods primarily focus on hard neg...
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Chapter and Conference Paper
Parking Space Matching and Path Planning Based on Wolf Feeding Decision Algorithm in Large Underground Garage
As cities grow, the number of complex underground parking garages with multiple entrances and exits is increasing. Randomly assigning parking spaces can lead to longer wait times for car owners during the park...
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Chapter and Conference Paper
Improved Sparrow Search Algorithm Optimized Neural Network Analysis of Traffic Congestion
Accurate traffic congestion prediction is of great significance for applications such as traffic control and route optimization. However, the traffic situation is affected by many complex factors, and the trad...
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Chapter and Conference Paper
Lazy Machine Unlearning Strategy for Random Forests
Removing the impact of some revoked training data from the machine learning models, i.e., machine unlearning, is a non-trivial task, which plays a pivotal role in fortifying the privacy and security of ML-base...
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Chapter and Conference Paper
Logit Distillation via Student Diversity
Knowledge distillation (KD) is a technique of transferring the knowledge from a large teacher network to a small student network. Current KD methods either make a student mimic diverse teachers with knowledge ...
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Chapter and Conference Paper
TCS-LipNet: Temporal & Channel & Spatial Attention-Based Lip Reading Network
Lip-reading is the process of translating input lip-movement image sequences into text sequences, which is a task that requires both temporal and spatial information to be considered, and feature extraction is...
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Chapter and Conference Paper
Research and Implementation of Cycle Control Technology for Time Sensitive Networking
Time Sensitive Networking (TSN) is a deterministic network technology with wide application prospects. As a part of TSN, the function of cycle control is to keep the beginning time of the scheduling period of ...
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Chapter and Conference Paper
A Fault Diagnosis Method of Discrete Event System Based on Binary Decision Diagram
In the early 1960s, the major modern technologies such as aerospace and military industry in the United States developed rapidly, and some major equipment came into being. Inevitably, the equipment will fail, ...
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Chapter and Conference Paper
Design and Implementation of a Multifunctional Screw Disassembly Workstation
The rapid growth of the electric vehicle industry has created a significant demand for the recycling of end-of-life electric vehicle batteries (EOL-EVB). Manual disassembly methods suffer from low efficiency, ...
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Chapter and Conference Paper
AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer
In sim-to-real task, domain adaptation is one of the basic challenge topic as it can reduce the huge performance variation caused by domain shift. Domain adaptation can effectively transfer knowledge from a la...
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Chapter and Conference Paper
A Study of Electricity Theft Detection Method Based on Anomaly Transformer
Electricity theft not only disrupts normal electricity consumption but also poses a significant security threat to the power system. The widespread deployment of smart meters has led to the collection of massi...
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Chapter and Conference Paper
Spatial Data Publication Under Local Differential Privacy
Local differential privacy (LDP), which has been applied in Google Chrome and Apple iOS, provides strong privacy assurance to users when collecting data from users. We focus on the sensitive spatial data colle...
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Chapter and Conference Paper
Firefly Algorithm with Opposition-Based Learning
The firefly algorithm (FA) is a swarm intelligence optimization algorithm based on the firefly’s glow and attractive behavior. It possesses a simple design, is easy to implement, and has been applied in many e...
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Chapter and Conference Paper
Multi-stream Information-Based Neural Network for Mammogram Mass Segmentation
Mass segmentation is the first step in computer-aided detection (CAD) systems for classification of breast masses as malignant or benign, and it greatly impacts the accuracy of CAD systems. This paper proposes...
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Chapter and Conference Paper
Aligning Internal Regularity and External Influence of Multi-granularity for Temporal Knowledge Graph Embedding
Representation learning for the Temporal Knowledge Graphs (TKGs) is an emerging topic in the knowledge reasoning community. Existing methods consider the internal and external influence at either element level...
