6,131 Result(s)
within
Chapter
**li Zhang
Artificial Intelligence
Image Processing and Computer Vision
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Chapter and Conference Paper
Research on Algorithms of Lateral Face Recognition Based on Data Generation
With the rapid progress of artificial intelligence, the methods of face recognition have also achieved considerable progress. However, when multiple head poses are present, the accuracy of face recognition dec...
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Chapter and Conference Paper
Research on FaceNet Face Recognition Algorithm Based on Attention Mechanism
FaceNet face recognition algorithm is the mainstream face recognition algorithm at present, and its running speed is widely used in the industry. To further improve the accuracy of FaceNet face recognition net...
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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
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
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
Make Chat-GPT 4 an Expert Reading Assistant
In this study, an end-to-end framework was constructed to consolidate key information into an intuitive, easy-to-read table or graphical interface by using ChatGPT4 to analyse news articles from the automotive...
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Chapter and Conference Paper
Novel Fault Diagnosis Method Integrating D-L2-FDA and AdaBoost
Industrial process safety has always been a concern for engineers and researchers. Fault diagnosis frameworks based on data-driven methods are prevalent and play a vital role in guaranteeing industrial process...
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Chapter and Conference Paper
Interpretable Back Propagation Neural Network Based Fast Directional Modulation Design
Traditional solutions for directional modulation (DM) rely on weight optimization methods, which has high computational complexity and cannot be implemented in real time. To solve the problem, in this paper, a...
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Chapter and Conference Paper
Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation
Myopia is a leading cause of visual impairment and blindness in several countries. Effective diagnosis and intervention are crucial, typically relying on manual image analysis by ophthalmologists, which is tim...
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Chapter and Conference Paper
Joint Security Protection and Transmission Delay Scheduling Scheme of Voice Switching Network
Security protection technology has been gradually receiving wide attention in the voice switching network. However, this technology will bring about a delay in user response and a decline in the quality of ser...
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Chapter and Conference Paper
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling
Multi-objective dynamic flexible job shop scheduling (MO-DFJSS) is a challenging problem that requires finding high-quality schedules for jobs in a dynamic and flexible manufacturing environment, considering m...
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Chapter and Conference Paper
Isolation and Integration: A Strong Pre-trained Model-Based Paradigm for Class-Incremental Learning
Continual learning aims to effectively learn from streaming data, adapting to emerging new classes without forgetting old ones. Conventional models without pre-training are constructed from the ground up, suff...
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Chapter and Conference Paper
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads
With the rapid development of deep learning, object detection and tracking play a vital role in today’s society. Being able to identify and track all the pedestrians in the dense crowd scene with computer visi...
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Chapter and Conference Paper
ROSA-Net: Rotation-Robust Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which requires shape descriptors to represent detailed geometric inf...
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Chapter and Conference Paper
Efficient Video Deblurring Guided by Motion Magnitude and Convolutional Block Attention Module
Video deblurring is a pivotal task in the fields of low-level vision and graphics, aiming to restore clear videos from blurry sequences. The traditional approaches usually involve restoring the blurry middle f...
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Chapter and Conference Paper
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation
In an era of information explosion, recommendation systems play an important role in people’s daily life by facilitating content exploration. It is known that user activeness, i.e., number of behaviors, tends to ...
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Chapter and Conference Paper
Structural Health Monitoring of Similar Gantry Crane Based on Federated Learning Algorithm
When using Internet of Things (IoT) technology for health monitoring of similar batches of identical gantry cranes, uploading all their structural data to a cloud server would result in significant bandwidth w...
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Chapter and Conference Paper
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction
Myopic macular degeneration is the most common complication of myopia and the primary cause of vision loss in individuals with pathological myopia. Early detection and prompt treatment are crucial in preventin...
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Chapter and Conference Paper
Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification
Myopic Maculopathy is the leading cause of legal blindness in patients with pathologic myopia. Automated myopic maculopathy diagnosis is of vital importance to early treatment and progression slowdown. However...
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Chapter and Conference Paper
MsF-HigherHRNet: Multi-scale Feature Fusion for Human Pose Estimation in Crowded Scenes
To solve the problems of occlusion and human scale variation in crowded crowd scenes, we propose a Multi-scale Fusion HigherHRNet (MsF-HigherHRNet) based on HigherHRNet, which integrates Residual Feature Augme...
