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《Computers, Materials & Continua》: 作品数：5489被引量：2928H指数：14; 导出分析报告; 主办单位：Tech Science Press; 最新期次：2025年3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>>

A Novelty Framework in Image-Captioning with Visual Attention-Based Refined Visual Features: 《Computers, Materials & Continua》2025年第3期3943-3964,共22页Alaa Thobhani Beiji Zou Xiaoyan Kui Amr Abdussalam Muhammad Asim Mohammed ELAffendi Sajid Shah; supported by the National Natural Science Foundation of China(Nos.U22A2034,62177047);High Caliber Foreign Experts Introduction Plan funded by MOST,and Central South University Research Programme of Advanced Interdisciplinary Studies(No.2023QYJC020).; Image captioning,the task of generating descriptive sentences for images,has advanced significantly with the integration of semantic information.However,traditional models still rely on static visual features that do ...; 关键词：Image-captioning visual attention deep learning visual features

A Latency-Efficient Integration of Channel Attention for ConvNets: 《Computers, Materials & Continua》2025年第3期3965-3981,共17页Woongkyu Park Yeongyu Choi Mahammad Shareef Mekala Gyu Sang Choi Kook-Yeol Yoo Ho-youl Jung; supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education under Grant NRF-2021R1A6A1A03039493.; Designing fast and accurate neural networks is becoming essential in various vision tasks.Recently,the use of attention mechanisms has increased,aimed at enhancing the vision task performance by selectively focusing o...; 关键词：Attention mechanism convolutional neural networks image classification object detection semantic segmentation

A Blockchain Cross-Chain Transaction Protection Scheme Based on FHE: 《Computers, Materials & Continua》2025年第3期3983-4002,共20页Hongliang Tian Zuoqing Li; Low data encryption efficiency and inadequate security are two issues with the current blockchain cross-chain transaction protection schemes.To address these issues,a blockchain cross-chain transaction protection sche...; 关键词：Blockchain cross-chain transactions fully homomorphic encryption(FHE)

AdaptForever:Elastic and Mutual Learning for Continuous NLP Task Mastery: 《Computers, Materials & Continua》2025年第3期4003-4019,共17页Ke Chen Cheng Peng Xinyang He Jiakang Sun Xu Liu Xiaolin Qin Yong Zhong; supported by the National Key R&D Program of China(No.2023YFB3308601);Sichuan Science and Technology Program(2024NSFJQ0035,2024NSFSC0004);the Talents by Sichuan provincial Party Committee Organization Department.; In natural language processing(NLP),managing multiple downstream tasks through fine-tuning pre-trained models often requires maintaining separate task-specific models,leading to practical inefficiencies.To address thi...; 关键词：Adapter-tuning large language model pre-trained language model parameter-efficient fine tuning continue learning mutual learning mixture of expert

GENOME:Genetic Encoding for Novel Optimization of Malware Detection and Classification in Edge Computing: 《Computers, Materials & Continua》2025年第3期4021-4039,共19页Sang-Hoon Choi Ki-Woong Park; supported by the Institute of Information&Communications Technology Planning&Evaluation(IITP)(Project Nos.RS-2024-00438551,30%,2022-11220701,30%,2021-0-01816,30%);the National Research Foundation of Korea(NRF)grant funded by the Korean Government(Project No.RS2023-00208460,10%).; The proliferation of Internet of Things(IoT)devices has established edge computing as a critical paradigm for real-time data analysis and low-latency processing.Nevertheless,the distributed nature of edge computing pr...; 关键词：Edge computing IoT security MALWARE machine learning malware classification malware detection

An Improved Hybrid Deep Learning Approach for Security Requirements Classification: 《Computers, Materials & Continua》2025年第3期4041-4067,共27页Shoaib Hassan QianmuLi Muhammad Zubair Rakan AAlsowail Muhammad Umair; The authors of this study extend their appreciation to the Researchers Supporting Project number(RSPD2025R544),King Saud University,Riyadh,Saudia Arabia.; As the trend to use the latestmachine learning models to automate requirements engineering processes continues,security requirements classification is tuning into the most researched field in the software engineering ...; 关键词：Requirements engineering security requirements deep learning CNN XGBoost CLASSIFICATION

LLE-Fuse:Lightweight Infrared and Visible Light Image Fusion Based on Low-Light Image Enhancement: 《Computers, Materials & Continua》2025年第3期4069-4091,共23页Song Qian Guzailinuer Yiming Ping Li Junfei Yang Yan Xue Shuping Zhang; This researchwas Sponsored by Xinjiang Uygur Autonomous Region Tianshan Talent Programme Project(2023TCLJ02);Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01C349).; Infrared and visible light image fusion technology integrates feature information from two different modalities into a fused image to obtain more comprehensive information.However,in low-light scenarios,the illuminati...; 关键词：Infrared images image fusion low-light enhancement feature extraction computational resource optimization

Deep Convolution Neural Networks for Image-Based Android Malware Classification: 《Computers, Materials & Continua》2025年第3期4093-4116,共24页Amel Ksibi Mohammed Zakariah Latifah Almuqren Ala Saleh Alluhaidan; funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University,through the Research Funding Program,Grant No.(FRP-1443-15).; The analysis of Android malware shows that this threat is constantly increasing and is a real threat to mobile devices since traditional approaches,such as signature-based detection,are no longer effective due to the ...; 关键词：Android malware detection deep convolutional neural network(DCNN) image processing CIC-AndMal2017 dataset exploratory data analysis VGG16 model

Learning Temporal User Features for Repost Prediction with Large Language Models: 《Computers, Materials & Continua》2025年第3期4117-4136,共20页Wu-Jiu Sun Xiao Fan Liu; Predicting information dissemination on social media,specifcally users’reposting behavior,is crucial for applications such as advertising campaigns.Conventional methods use deep neural networks to make predictions ba...; 关键词：Reposting prediction large language model semantic adaptation temporal adaptation

Digital Twin-Driven Modeling and Application of High-Temperature Biaxial Materials Testing Apparatus: 《Computers, Materials & Continua》2025年第3期4137-4159,共23页Xiyu Gao Peng Liu Anran Zhao Guotai Huang Jianhai Zhang Liming Zhou; supported by Natural Science Foundation of China(NSFC),Grant Number 5247052693.; The High-Temperature Biaxial Testing Apparatus(HTBTA)is a critical tool for studying the damage and failure mechanisms of heat-resistant composite materials under extreme conditions.However,existing methods for managi...; 关键词：Digital twin HTBTA remote monitoring LSTM

《Computers, Materials & Continua》