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161

Python: Advanced Predictive Analytics
Kumar, Ashish ; Babcock, Joseph ; Kumar, Ashish ; et al.

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162

基于 PLUS 模型与自动化权衡三维管控的城乡融合区土地利用多 目标优化.
王仕菲 ; 尹珂
Transactions of the Chinese Society of Agricultural Engineering. Oct2025, Vol. 41 Issue 20, p292-301. 10p.

CHONGQING (China) CHINA MULTI-objective optimiza... LAND use SUSTAINABLE agriculture RURAL-urban relations …
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163

Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach.
Ralph, Benjamin James ; Hartl, Karin ; Sorger, Marcel ; et al.
Journal of Manufacturing & Materials Processing; Jun2021, Vol. 5 Issue 2, p1-21, 21p

MACHINE learning RESIDUAL stresses FINITE element method PYTHON programming langu... GRAPHICAL user interface...
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164

Marketing Education Renaissance Through Big Data Curriculum: Developing Marketing Expertise Using AI Large Language Models
Suresh Sood ; Hugh Pattinson
Inovatus Services Ltd., International Journal of Innovation and Economic Development. 8(6):23-40

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165

Leveraging LASSO-based methodologies for enhanced SNP analysis in plant genomes.
Puthiyedth N ; Zeinalinesaz F ; Hou D ; et al.
Publisher: Oxford University Press Country of Publication: England NLM ID: 9918282081306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2635-0041 (Electronic) Linking ISSN: 26350041 NLM ISO Abbreviation: Bioinform Adv Subsets: PubMed not MEDLINE

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166

Development of a Prediction Model for Intraoperative Blood Pressure Variability
Zhifeng Gao, Clinical Professor
Development of a Predictive Model for Intraoperative Blood Pressure Variability: a Retrospective Cohort Study

Report
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167

A lightweight deep learning model for fault detection of PV modules using thermal images.
Jimenez, Keony ; Cano, Juan B. ; Velilla, Esteban
Solar Energy. Jan2026, Vol. 303, pN.PAG-N.PAG. 1p.

FAULT diagnosis THERMOGRAPHY DEEP learning COMPUTER vision PHOTOVOLTAIC cells FEATURE extraction
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168

Machine Learning Optimization of Waste Salt Pyrolysis: Predicting Organic Pollutant Removal and Mass Loss.
Zhou, Run ; Gao, Qing ; Wang, Qiuju ; et al.
Sustainability (2071-1050); Apr2025, Vol. 17 Issue 7, p3216, 20p

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169

Assessing Soil Organic Carbon in Semi-Arid Agricultural Soils Using UAVs and Machine Learning: A Pathway to Sustainable Water and Soil Resource Management
Imad El-Jamaoui ; María José Delgado-Iniesta ; Maria José Martínez Sánchez ; et al.
MDPI, Sustainability. 17(8):1-18

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170

FHIR-PYrate: a data science friendly Python package to query FHIR servers.
Hosch, René ; Baldini, Giulia ; Parmar, Vicky ; et al.
BMC Health Services Research. 7/6/2023, Vol. 23 Issue 1, p1-15. 15p.

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171

scEVOLVE: cell-type incremental annotation without forgetting for single-cell RNA-seq data.
Zhai, Yuyao ; Chen, Liang ; Deng, Minghua
Briefings in Bioinformatics; Mar2024, Vol. 25 Issue 2, p1-19, 19p

RNA sequencing ANNOTATIONS MACHINE learning DATA mining RESEARCH personnel
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172

Stock Price Forecasting Using a Time-Series Long Short-Term Memory Model
Adedeji Gbadebo
Finance, Accounting and Business Analysis. 7(2):304-322

Stock price; LSTM; Predi...
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173

OA2040. Machine Learning-based categorization of central roads in Athens.
Peithis, Stelios ; Koliou, P. ; Yannis, G.
European Journal of Public Health. 2025 Supplement, Vol. 35, pv33-v34. 2p.

GREECE TRAFFIC safety RISK assessment TRAFFIC accidents MOTOR vehicle occupants MOTOR vehicle safety mea... …
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174

Comparative analysis of the forecasting quality of the classical statistical model and the machine learning model on the data of the Russian stock market
A. V. Shcherbinina ; A. V. Alzheev
Scientific notes of the Russian academy of entrepreneurship. 20(3)

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175

Deep Learning for Indoor Pedestal Fan Blade Inspection: Utilizing Low-Cost Autonomous Drones in an Educational Setting
Angel A. Rodriguez ; Mason Davis ; Joshua Zander ; et al.
Drones, Vol 8, Iss 7, p 298 (2024)

autonomous drone deep learning computer vision object detection path planning Tello EDU drone …
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176

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data.
Schratz, Patrick ; Muenchow, Jannes ; Iturritxa, Eugenia ; et al.
Ecological Modelling. Aug2019, Vol. 406, p109-120. 12p.

MACHINE learning PERFORMANCE evaluation SUPPORT vector machines REGRESSION trees PROGRAMMING languages
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177

Portfolio Optimization Based on MPT-LSTM Neural Networks: A case study of Cryptocurrency Markets.
Zouaoui, Habib ; Naas, Meryem-Nadjat
Finance, Accounting & Business Analysis (FABA); 2025, Vol. 7 Issue 1, p82-98, 17p

ARTIFICIAL neural networ... LONG short-term memory MACHINE learning BEHAVIORAL economics PORTFOLIO performance
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178

Exploring Trust Dynamics in Online Social Networks: A Social Network Analysis Perspective.
Kridera, Stavroula ; Kanavos, Andreas
Mathematical & Computational Applications; Jun2024, Vol. 29 Issue 3, p37, 27p

ONLINE social networks TRUST SOCIAL network analysis VIRTUAL communities MACHINE learning SOCIAL dynamics
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179

M-polynomial driven machine learning models for predicting physicochemical properties of antibiotics
Xin Li ; Masoud Ghods ; Negar Kheirkhahan ; et al.
PLOS ONE. 20(12):1-23

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180

K-means clustering algorithm and Python implementation
BoKai Wu
2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE). :55-59

03 medical and health sc... 0302 clinical medicine
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