1,348 Result(s)
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Computer Science
English
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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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Chapter and Conference Paper
Efficient Attention for Domain Generalization
Deep neural networks suffer severe performance degradation when encountering domain shift. Previous methods mainly focus on feature manipulation in source domains to learn transferable features to unseen domai...
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Chapter and Conference Paper
DecTrans: Person Re-identification with Multifaceted Part Features via Decomposed Transformer
Utilizing part-level features provides a more detailed representation, leading to improved results in person re-identification (ReID). Yet existing works either use external tasks like pose estimation or strug...
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Chapter and Conference Paper
IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors
In the face reenactment task, identity preservation is challenging due to the leakage of driving identity and the complexity of source identity. In this paper, we propose an Identity-Preserving Face Reenactmen...
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Chapter and Conference Paper
ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRI
Cardiac magnetic resonance imaging (MRI) is an advanced medical imaging technique widely used for the diagnosis and assessment of cardiovascular diseases. However, the acquisition time for cardiac MRI is gener...
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Chapter and Conference Paper
Intelligent Identification of Personnel off Duty Based on Improved YOLOv5
As one of the unsafe behaviors in the safety production process, the absence of operators has laid a major safety hazard for the safety production of the enterprise. Once a problem occurs in production, it is ...
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Chapter and Conference Paper
A Graph-Based Vertical Federation Broad Learning System
A broad learning system is a lightweight deep neural network with breadth expansion, which is widely used in face recognition, error detection, and so on. The broad learning system can make full use of grid da...
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Chapter and Conference Paper
Multimodal Wearable Device Signal Based Epilepsy Detection with Multi-scale Convolutional Neural Network
Seizure detection based on wearable devices has gradually become a popular research direction. The ability of wearable devices to capture signals is also improving, and a variety of physiological signals can b...
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Chapter and Conference Paper
Challenges and Constraints in Deformation-Based Medical Mesh Representation
Mesh representation of medical imaging isosurfaces are essential for medical analysis. These representations are typically obtained using mesh extraction methods to segment 3D volumes. However, the meshes extr...
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Chapter and Conference Paper
Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition
Skeleton-based action recognition has become popular in recent years due to its efficiency and robustness. Most current methods adopt graph convolutional network (GCN) for topology modeling, but GCN-based meth...
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Chapter and Conference Paper
Task-Adaptive Generative Adversarial Network Based Speech Dereverberation for Robust Speech Recognition
Reverberation is known to severely affect speech recognition performance when speech is recorded in an enclosed space. Deep learning-based speech dereverberation has been remarkably successful in recent years,...
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Chapter and Conference Paper
Edge Collaborative Assisted Caching Content Placement Optimization Strategy Based on DDSG
To improve the pre-fetching accuracy of mobile autonomous vehicles in highly dynamic network, we study the cache content update and placement optimization in edge collaborative caching systems, and propose an ...
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Chapter and Conference Paper
Research and Application of Low Voltage Distributed Power Supply Control System
With the launch of the National Energy Administration's rooftop photovoltaic pilot construction in all counties and cities, power companies in various provinces and cities of the State Grid are facing severe s...
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Chapter and Conference Paper
BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset
Intracranial hemorrhage (ICH) is a pathological condition characterized by bleeding inside the skull or brain, which can be attributed to various factors. Identifying, localizing and quantifying ICH has import...
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Chapter and Conference Paper
Knowledge Distillation of Attention and Residual U-Net: Transfer from Deep to Shallow Models for Medical Image Classification
With the widespread application of deep learning in medical image analysis, its capacity to handle high-dimensional and complex medical images has been widely recognized. However, high-accuracy deep learning m...
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Chapter and Conference Paper
Innovative Design of Large Language Model in the Medical Field Based on chip-PromptCBLUE
This article introduces the research content and results based on the CHIP-PromptCBLUE (Chinese Biomedical Language Understanding Evaluation) benchmark task. PromptCBLUE promotes research on large language mod...
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Chapter and Conference Paper
Prediction of College English Final Exam Scores Based on Formative Performance Using Machine Learning Methods
With the advent of the information and artificial intelligence era, prediction methods have made significant advancements. This paper proposes a method for predicting final exam scores based on formative perfo...
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Chapter and Conference Paper
The Impacts of Characteristic Factors on Learning Satisfaction: An Empirical Study in Gamification Virtual Simulation Systems
Virtual simulation technology has become one of the indispensable technologies in the field of teaching. However, the application of virtual simulation experiments and the embedding of corresponding gamificati...
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Chapter and Conference Paper
A Method for Evaluating the Quality of Distance Education in Universities Based on Fuzzy AHP
With the rapid development of information technology and the popularization of the Internet, distance education has been widely promoted and applied globally. Remote education in universities, as an important ...
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Chapter and Conference Paper
Interactive Selection Recommendation Based on the Multi-head Attention Graph Neural Network
The click-through rate prediction of users is a critical task in the recommendation system. As a powerful machine learning method, graph neural networks have been favored by scholars to solve the task recently...
