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作品数:497被引量:1135H指数:16
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Prediction of genomic biomarkers for endometriosis using the transcriptomic dataset
《World Journal of Clinical Cases》2025年第20期6-19,共14页Zeynep Kucukakcali Sami Akbulut Cemil Colak 
approved by the Inonu University institutional review board for noninterventional studies(Approval No:2022/3842).
BACKGROUND Endometriosis is a clinical condition characterized by the presence of endometrial glands outside the uterine cavity.While its incidence remains mostly uncertain,endometriosis impacts around 180 million wom...
关键词:ENDOMETRIOSIS RNA-SEQ TRANSCRIPTOMICS Machine learning Classification 
Coupling the Power of YOLOv9 with Transformer for Small Object Detection in Remote-Sensing Images
《Computer Modeling in Engineering & Sciences》2025年第4期593-616,共24页Mohammad Barr 
Recent years have seen a surge in interest in object detection on remote sensing images for applications such as surveillance andmanagement.However,challenges like small object detection,scale variation,and the presen...
关键词:Remote sensing images YOLOv9-TH multi-scale object detection transformer heads VisDrone2021 dataset 
An ab initio dataset of size-dependent effective thermal conductivity for advanced technology transistors
《Chinese Physics B》2025年第4期125-130,共6页Han Xie Ru Jia Yonglin Xia Lei Li Yue Hu Jiaxuan Xu Yufei Sheng Yuanyuan Wang Hua Bao 
Project supported by the National Key R&D Project from Ministry of Science and Technology of China(Grant No.2022YFA1203100);the National Natural Science Foundation of China(Grant No.52122606);the funding from Shanghai Polytechnic University.
As the size of transistors shrinks and power density increases,thermal simulation has become an indispensable part of the device design procedure.However,existing works for advanced technology transistors use simplifi...
关键词:size-dependent effective thermal conductivity advanced technology transistors ab initio computations micro/nano-scale heat transfer 
Deep transfer learning for three-dimensional aerodynamic pressure prediction under data scarcity
《Theoretical & Applied Mechanics Letters》2025年第2期131-140,共10页Hao Zhang Yang Shen Wei Huang Zan Xie Yao-Bin Niu 
supported by the Natural Science Foundation of Hunan Province of China(Grant No.2021JJ10045).
Aerodynamic evaluation under multi-condition is indispensable for the design of aircraft,and the requirement for mass data still means a high cost.To address this problem,we propose a novel point-cloud multi-condition...
关键词:Aerodynamic prediction Deep transfer learning Point cloud Multi-condition scenarios Small-scale dataset 
High-resolution Simulation Dataset of Hourly PM_(2.5)Chemical Composition in China(CAQRA-aerosol)from 2013 to 2020
《Advances in Atmospheric Sciences》2025年第4期697-712,共16页Lei KONG Xiao TANG Jiang ZHU Zifa WANG Bing LIU Yuanyuan ZHU Lili ZHU Duohong CHEN Ke HU Huangjian WU Qian WU Jin SHEN Yele SUN Zirui LIU Jinyuan XIN Dongsheng JI Mei ZHENG 
support from the National Key Scientific and Technological Infrastructure project “Earth System Science Numerical Simulator Facility” (Earth Lab);sponsored by the National Natural Science Foundation of China (Grant Nos. 42175132, 92044303, and 42205119);the National Key R&D Program (Grant Nos. 2020YFA0607802 and 2022YFC3703003);the CAS Information Technology Program (Grant No. CAS-WX2021SF-0107-02);the fellowship of China Postdoctoral Science Foundation (Grant No. 2022M723093)
Scientific knowledge on the chemical compositions of fine particulate matter(PM_(2.5)) is essential for properly assessing its health and climate effects,and for decisionmakers to develop efficient mitigation strategi...
关键词:PM_(2.5)composition dataset black carbon organic carbon AMMONIUM NITRATE SULFATE 
Leveraging CNN to Analyse Facial Expressions for Academic Engagement Monitoring with Insights from the Multi⁃Source Academic Affective Engagement Dataset
《Journal of Harbin Institute of Technology(New Series)》2025年第2期65-79,共15页Noora C T Tamil Selvan P 
The dynamics of student engagement and emotional states significantly influence learning outcomes.Positive emotions resulting from successful task completion stand in contrast to negative affective states that arise f...
关键词:emotion recognition student engagement facial expressions academic affective engagement MAAED 
Classifying Multi-Lingual Reviews Sentiment Analysis in Arabic and English Languages Using the Stochastic Gradient Descent Model
《Computers, Materials & Continua》2025年第4期1275-1290,共16页Yasser Alharbi Sarwar Shah Khan 
Sentiment analysis plays an important role in distilling and clarifying content from movie reviews,aiding the audience in understanding universal views towards the movie.However,the abundance of reviews and the risk o...
关键词:Sentiment analysis stochastic gradient descent REVIEWS English IMDb dataset Arabic dataset 
A Bioinspired Method for Optimal Task Scheduling in Fog-Cloud Environment
《Computer Modeling in Engineering & Sciences》2025年第3期2691-2724,共34页Ferzat Anka Ghanshyam G.Tejani Sunil Kumar Sharma Mohammed Baljon 
the Deanship of Postgraduate Studies and Scientific Research at Majmaah University for funding this research work through the project number(R-2025-1567).
Due to the intense data flow in expanding Internet of Things(IoT)applications,a heavy processing cost and workload on the fog-cloud side become inevitable.One of the most critical challenges is optimal task scheduling...
关键词:Improved ARO fog computing task scheduling GoCJ_Dataset chaotic map levy flight 
Harmonization of Heart Disease Dataset for Accurate Diagnosis:A Machine Learning Approach Enhanced by Feature Engineering
《Computers, Materials & Continua》2025年第3期3907-3919,共13页Ruhul Amin Md.Jamil Khan Tonway Deb Nath Md.Shamim Reza Jungpil Shin 
supported by the Competitive Research Fund of the University of Aizu,Japan(Grant No.P-13).
Heart disease includes a multiplicity of medical conditions that affect the structure,blood vessels,and general operation of the heart.Numerous researchers have made progress in correcting and predicting early heart d...
关键词:Heart disease HARMONIZATION feature interaction PCA model hyper tuning machine learning 
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 
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