5,202 Result(s)
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Chapter and Conference Paper
Credible Dual-X Modality Learning for Visible and Infrared Person Re-Identification
Visible-Infrared person Re-Identification (VI-ReID) is essential for public security. However, it poses a significant challenge due to the distinct reflection frequencies of visible and infrared modalities, le...
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Chapter and Conference Paper
Finite Element Simulation of Cutting Temperature Distribution in Coated Tools During Turning Processes
The effect of cutting temperature on mechanism of cutting process has been a fundamental issue. Cutting tool temperature has significant influences on wear behavior of cutting tool, surface finish and surface ...
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Chapter and Conference Paper
CANAMRF: An Attention-Based Model for Multimodal Depression Detection
Multimodal depression detection is an important research topic that aims to predict human mental states using multimodal data. Previous methods treat different modalities equally and fuse each modality by naïv...
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Chapter and Conference Paper
Medical Entity Recognition with Few-Shot Based on Chinese Character Radicals
In medical text entity recognition tasks, Chinese character radicals are often closely related to the semantics of the characters. Based on this insight, we proposed the CSR-ProtoLERT model to integrate Chines...
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Chapter and Conference Paper
Research on Temperature Rise Modeling of Traction Inverter Module Based on Surrogate Model
As a key component of train traction and transmission system, inverter module temperature has an important relationship with the stability of train operation and system energy consumption. Because the inverter...
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Chapter and Conference Paper
Research on Tongue Muscle Strength Measurement and Recovery System
Dysphagia is caused by movement disorders such as muscular systems or neurological diseases that participate in speech movement. Speech difficulty sufferers as the main victim of Dysphagia often have problems ...
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Chapter and Conference Paper
Centimeter-Level Real-Time Orbit Determination and Accuracy Analysis of LEO Satellite with POD4LEO Software
High precision and low delay satellite orbits are the key requirements for many Earth observation missions today. This paper briefly introduces the development of precision orbit determination of low orbit sat...
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Chapter and Conference Paper
SyncRec: A Synchronized Online Learning Recommendation System
With the rapid development of digitalization and big data technology, numerous online learning materials have become available for self-regulated online learning. However, there is still a lack of a practical ...
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Chapter and Conference Paper
Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation
The disparity between chronological age and estimated brain age from images is a significant indicator of abnormalities in brain development. However, MRI-based brain age estimation still encounters considerab...
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Chapter and Conference Paper
TIG-KIGNN: Time Interval Guided Knowledge Inductive Graph Neural Network for Misinformation Detection from Social Media
Since the emergence of social media, misinformation has become prevalent and is propagated through various social media platforms. Time plays a crucial role in verifying the source and authenticity of informat...
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Chapter and Conference Paper
GIST: Transforming Overwhelming Information into Structured Knowledge with Large Language Models
This paper introduces GIST (Generative Information Synthesis Taskforce), a novel personal knowledge management system that utilizes large-scale online language models to analyze and organize the information, g...
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Chapter and Conference Paper
Time-Series Forecasting Through Contrastive Learning with a Two-Dimensional Self-attention Mechanism
Contrastive learning methods have impressive capabilities in time-series representation; however, challenges in capturing contextual consistency and extracting features that meet the requirements of representa...
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Chapter and Conference Paper
Diagnostic Genes Identification and Molecular Classification Patterns Based on Oxidative Stress-Related Genes in Ischemic Stroke
Ischemic Stroke (IS) has been ever-threatening to public health. Oxidative stress participated in the IS process and induced neuron death, lacking pathological elucidation and clinical diagnosis. Acquiring dat...
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Chapter and Conference Paper
Reversible Data Hiding Based on Adaptive Embedding with Local Complexity
In recent years, most reversible data hiding (RDH) algorithms have considered the impact of texture information on embedding performance. The distortion caused by embedding secret data in the image’s smooth re...
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Chapter and Conference Paper
A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images
Dental caries is a prevalent noncommunicable disease that affects over half of the global population. It can significantly diminish individuals’ quality of life by impairing their eating and socializing abilit...
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Chapter and Conference Paper
Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting
Long-term time series forecasting is a critical task in many domains, including finance, healthcare, and weather forecasting. While Transformer-based models have made significant progress in time series foreca...
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Chapter and Conference Paper
Identification of Parkinson’s Disease Associated Genes Through Explicable Deep Learning and Bioinformatic
Weutilized interpretable deep learning methodologies to discern critical genes and latent biomarkers associated with Parkinson’s disease (PD). Gene expression data were collected from the GEO dataset, subjecte...
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Chapter and Conference Paper
Construction of Intelligent Evaluation Model for Electric Power Marketing Inspection Status Based on Cloud Measurement
The reform of electricity market and the acceleration of the construction of smart grid impel electric power enterprises to change the traditional marketing mode, realize the low loss conversion between comple...
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Chapter and Conference Paper
High Capacity Reversible Data Hiding in Encrypted Images Based on Pixel Value Preprocessing and Block Classification
Reversible data hiding in encrypted images (RDHEI) can simultaneously achieve secure transmission of images and secret storage of embedded additional data, which can be used for cloud storage and privacy prote...
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Chapter and Conference Paper
User Preferences Based Preloading and ABR Algorithm for Short Video Streaming
Due to mobile networks and multimedia technology, short video streaming has become increasingly popular. However, traditional ABR algorithms are not suitable for short videos and waste bandwidth. To address th...
