《Computers, Materials & Continua》

作品数：5654被引量：2949H指数：14
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《Computers, Materials & Continua》
主办单位：Tech Science Press
最新期次：2025年5期更多>>
发文主题：MACHINE_LEARNINGBASED_ONUSINGDEEPIOT更多>>
发文领域：自动化与计算机技术电子电信理学医药卫生更多>>
发文基金：国家自然科学基金中国博士后科学基金国家社会科学基金北京市自然科学基金更多>>
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End-to-End Audio Pattern Recognition Network for Overcoming Feature Limitations in Human-Machine Interaction
《Computers, Materials & Continua》2025年第5期3187-3210,共24页Zijian Sun Yaqian Li Haoran Liu Haibin Li Wenming Zhang 
supported by the National Natural Science Foundation of China(62106214);the Hebei Natural Science Foundation(D2024203008);the Provincial Key Laboratory Performance Subsidy Project(22567612H).
In recent years,audio pattern recognition has emerged as a key area of research,driven by its applications in human-computer interaction,robotics,and healthcare.Traditional methods,which rely heavily on handcrafted fe...
关键词：Audio pattern recognition raw audio end-to-end network feature fusion 
Deep Learning Based Online Defect Detection Method for Automotive Sealing Rings
《Computers, Materials & Continua》2025年第5期3211-3226,共16页Jian Ge Qin Qin Jinhua Jiang Zhiwei Shen Zimei Tu Yahui Zhang 
Manufacturers must identify and classify various defects in automotive sealing rings to ensure product quality.Deep learning algorithms show promise in this field,but challenges remain,especially in detecting small-sc...
关键词：Deep learning automotive sealing ring defect detection 
Leveraging Edge Optimize Vision Transformer for Monkeypox Lesion Diagnosis on Mobile Devices
《Computers, Materials & Continua》2025年第5期3227-3245,共19页Poonam Sharma Bhisham Sharma Dhirendra Prasad Yadav Surbhi Bhatia Khan Ahlam Almusharraf 
supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R432),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia。
Rapid and precise diagnostic tools for Monkeypox(Mpox)lesions are crucial for effective treatment because their symptoms are similar to those of other pox-related illnesses,like smallpox and chickenpox.The morphologic...
关键词：MONKEYPOX DISEASE classification local global TRANSFORMER 
A Chinese Named Entity Recognition Method for News Domain Based on Transfer Learning and Word Embeddings
《Computers, Materials & Continua》2025年第5期3247-3275,共29页Rui Fang Liangzhong Cui 
funded by Advanced Research Project(30209040702).
Named Entity Recognition(NER)is vital in natural language processing for the analysis of news texts,as it accurately identifies entities such as locations,persons,and organizations,which is crucial for applications li...
关键词：News domain named entity recognition(NER) transfer learning word embeddings ERNIE soft-lexicon 
Event-Driven Attention Network:A Cross-Modal Framework for Efficient Image-Text Retrieval in Mass Gathering Events
《Computers, Materials & Continua》2025年第5期3277-3301,共25页Kamil Yasen Heyan Jin Sijie Yang Li Zhan Xuyang Zhang Ke Qin Ye Li 
sponsored by Natural Science Foundation of Xinjiang Uygur Autonomous Region(2024D01A19).
Research on mass gathering events is critical for ensuring public security and maintaining social order.However,most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd cou...
关键词：Mass gathering events image-text retrieval attention mechanism 
UltraSegNet:A Hybrid Deep Learning Framework for Enhanced Breast Cancer Segmentation and Classification on Ultrasound Images
《Computers, Materials & Continua》2025年第5期3303-3333,共31页Suhaila Abuowaida Hamza Abu Owida Deema Mohammed Alsekait Nawaf Alshdaifat Diaa Salama Abd Elminaam Mohammad Alshinwan 
funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R435),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
Segmenting a breast ultrasound image is still challenging due to the presence of speckle noise,dependency on the operator,and the variation of image quality.This paper presents the UltraSegNet architecture that addres...
关键词：Breast cancer ultrasound image SEGMENTATION CLASSIFICATION deep learning 
SA-ResNet:An Intrusion Detection Method Based on Spatial Attention Mechanism and Residual Neural Network Fusion
《Computers, Materials & Continua》2025年第5期3335-3350,共16页Zengyu Cai Yuming Dai Jianwei Zhang Yuan Feng 
supported by National Natural Science Foundation of China(62473341);Key Research and Development Special Project of Henan Province(221111210500);Key Research and Development Special Project of Henan Province(242102211071,242102210142,232102211053).
The rapid development and widespread adoption of Internet technology have significantly increased Internet traffic,highlighting the growing importance of network security.Intrusion Detection Systems(IDS)are essential ...
关键词：Intrusion detection deep learning residual neural network spatial attention mechanism 
Deepfake Detection Method Based on Spatio-Temporal Information Fusion
《Computers, Materials & Continua》2025年第5期3351-3368,共18页Xinyi Wang Wanru Song Chuanyan Hao Feng Liu 
supported by National Natural Science Foundation of China(Nos.62477026,62177029,61807020);Humanities and Social Sciences Research Program of the Ministry of Education of China(No.23YJAZH047);the Startup Foundation for Introducing Talent of Nanjing University of Posts and Communications under Grant NY222034.
As Deepfake technology continues to evolve,the distinction between real and fake content becomes increasingly blurred.Most existing Deepfake video detectionmethods rely on single-frame facial image features,which limi...
关键词：Deepfake detection vision transformer spatio-temporal information 
A Comparative Study of Optimized-LSTM Models Using Tree-Structured Parzen Estimator for Traffic Flow Forecasting in Intelligent Transportation
《Computers, Materials & Continua》2025年第5期3369-3388,共20页Hamza Murad Khan Anwar Khan Santos Gracia Villar Luis Alonso DzulLopez Abdulaziz Almaleh Abdullah M.Al-Qahtani 
Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models...
关键词：Short-term traffic prediction sequential time series prediction TPE tree-structured parzen estimator LSTM hyperparameter tuning hybrid prediction model 
VPM-Net:Person Re-ID Network Based on Visual Prompt Technology and Multi-Instance Negative Pooling
《Computers, Materials & Continua》2025年第5期3389-3410,共22页Haitao Xie Yuliang Chen Yunjie Zeng Lingyu Yan Zhizhi Wang Zhiwei Ye 
funded by the Key Research and Development Program of Hubei Province,China(Grant No.2023BEB024);the Young and Middle-aged Scientific and Technological Innova-tion Team Plan in Higher Education Institutions inHubei Province,China(GrantNo.T2023007);the key projects ofHubei Provincial Department of Education(No.D20161403).
With the rapid development of intelligent video surveillance technology,pedestrian re-identification has become increasingly important inmulti-camera surveillance systems.This technology plays a critical role in enhan...
关键词：Person re-identification multi-instance negative pooling visual prompt tuning 
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