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21

Effectiveness of Weight Loss Methods on Lifespan for Metabolic Syndrome
Nazarbayev University School of Medicine ; Nazarbayev University ; Astana Medical University ; et al.
Effectiveness of Pharmacologic, Surgical, and Dietetic Weight Loss Methods on Lifespan in Patients With Metabolic Syndrome: a Comparative Clinical Trial

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22

Climate and disease: tackling coffee brown-eye spot with advanced forecasting models.
de Oliveira Aparecido LE ; de Lima RF ; Torsoni GB ; et al.
Publisher: John Wiley & Sons Country of Publication: England NLM ID: 0376334 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0010 (Electronic) Linking ISSN: 00225142 NLM ISO Abbreviation: J Sci Food Agric Subsets: MEDLINE

Brazil Machine Learning Coffee chemistry Plant Diseases microbiol... Plant Diseases preventio... Forecasting …
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23

Machine-based Algorithm for Increased Physical Activity and Sustained User Engagement
Machine-based Algorithm for Adjusting Activity Targets to Increase Physical Activity and Sustain User Engagement Among Telus Wellbeing Users
Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011 Apr 23;6:42. doi: 10.1186/1748-5908-6-42.
Mitchell MS, Orstad SL, Biswas A, Oh PI, Jay M, Pakosh MT, Faulkner G. Financial incentives for physical activity in adults: systematic review and meta-analysis. Br J Sports Med. 2020 Nov;54(21):1259-1268. doi: 10.1136/bjsports-2019-100633. Epub 2019 May 15.
Armijo-Olivo S, Stiles CR, Hagen NA, Biondo PD, Cummings GG. Assessment of study quality for systematic reviews: a comparison of the Cochrane Collaboration Risk of Bias Tool and the Effective Public Health Practice Project Quality Assessment Tool: methodological research. J Eval Clin Pract. 2012 Feb;18(1):12-8. doi: 10.1111/j.1365-2753.2010.01516.x. Epub 2010 Aug 4.

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24

Development, External Validation, and Visualization of Machine Learning Models for Predicting Occurrence of Acute Kidney Injury after Cardiac Surgery.
Jiakang Shao ; Feng Liu ; Shuaifei Ji ; et al.
Reviews in Cardiovascular Medicine. 2023, Vol. 24 Issue 8, p1-11.

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25

Generation Prediction in a Mini Hydroelectric Power Plant Using Machine Learning and Open-Source Software.
Ulloa-Chipantiza, Lenin ; Pilataxi-Molina, Freddy ; Salazar-Achig, Roberto ; et al.
Salud, Ciencia y Tecnología; 2025, Vol. 5, p1-11, 11p

ECUADOR BOOSTING algorithms STATISTICAL correlation NATURE COMPUTER software PREDICTION models …
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26

Predicting and identifying factors associated with undernutrition among children under five years in Ghana using machine learning algorithms.
Anku, Eric Komla ; Duah, Henry Ofori
PLoS ONE; 2/13/2024, Vol. 19 Issue 2, p1-16, 16p

FISHER discriminant anal... MACHINE learning RECEIVER operating chara... SUPPORT vector machines SECONDARY analysis MALNUTRITION in children
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27

Comparison of Long Short-Term Memory and Convolutional Neural Network Models for Emergency Department Patients' Arrival Daily Forecasting.
Kashani, Sina Moosavi ; Jame, Sanaz Zargar Balaye ; Markazi-Moghaddam, Nader ; et al.
Journal of Archives in Military Medicine; Mar2024, Vol. 12 Issue 1, p1-7, 7p

PATIENTS PREDICTION models DATA analysis HOSPITAL admission & dis... HOSPITAL emergency servi... TIME series analysis …
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28

minMLST: machine learning for optimization of bacterial strain typing.
Cohen, Shani ; Rokach, Lior ; Motro, Yair ; et al.
Bioinformatics; Feb2021, Vol. 37 Issue 3, p303-311, 9p

MICROSOFT Windows (Opera... MACHINE learning LABORATORY management BACTERIAL diseases INTERNET servers DISEASE outbreaks …
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29

Novel models for photovoltaic output current prediction based on short and uncertain dataset by using deep learning machines.
Khatib, Tamer ; Gharaba, Ameera ; Haj Hamad, Zain ; et al.
Energy Exploration & Exploitation; Mar2022, Vol. 40 Issue 2, p724-748, 25p

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30

Deep Reinforcement Learning for Managing Platelets in a Hospital Blood Bank
Farrington, Joseph M ; Utley, Martin ; Alimam, Samah ; et al.
In Blood 2 November 2023 142 Supplement 1:2311-2311

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31

AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models
Dawson, Ads ; Mulla, Rob ; Landers, Nick ; et al.

Cryptography and Securit... K.6.5; D.4.6; I.2.7
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32

Retrospective on the First Passive Brain-Computer Interface Competition on Cross-Session Workload Estimation
Roy, Raphaëlle, N ; Hinss, Marcel, F ; Darmet, Ludovic ; et al.
Frontiers in Neuroergonomics, 2022, 3, ⟨10.3389/fnrgo.2022.838342⟩

benchmarking dataset passive brain-computer i... workload EEG cross-session variabilit... …
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33

5hmC Gene Signature Predicts the Treatment Response to Azacitidine with High-Dose Cytarabine and Mitoxantrone in AML
Cahill, Kirk ; Wang, Linchen ; Liang, Guanghao ; et al.
In Blood 23 November 2021 138 Supplement 1:1305-1305

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34

Comparative Analysis of ARIMA and LSTM Models for Temperature Forecasting in Semi-Arid Regions: A Case Study of Machakos County, Kenya
Noah Mutiso ; Martin Kithinji ; Victor Musau
American Journal of Artificial Intelligence. 9:46-54

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35

Analysis of Covid-19 Trends: A Machine Learning Approach
Ammar Haider ; orcid:0000-0001-5511- ; Dr Mumtaz Ali Sheikh ; et al.

covid-19 machine learning deep learning vaccination Future Forecast Trends P...
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36

PROSPECTS FOR SHORT-TERM FORECASTING OF RIVER STREAMFLOW FROM SMALL WATERSHED RUNOFF USING MACHINE LEARNING METHODS ; ВОЗМОЖНОСТИ КРАТКОСРОЧНОГО ПРОГНОЗИРОВАНИЯ СТОКА МАЛОЙ РЕКИ С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ
В.М. Морейдо ; Б.И. Гарцман ; Д.П. Соломатин ; et al.
Hydrosphere. Hazard processes and phenomena; Vol. 2 No. 4: Hydrosphere. Hazard processes and phenomena; 375-390 ; Гидросфера. Опасные процессы и явления; Том 2 № 4: Гидросфера. Опасные процессы и явления; 375-390 ; 2686-8385 ; 2686-7877

Russian Federation Российская Федерация... hydrological forecasting machine learning artificial neural networ... runoff forecasts …
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37

基于稠密自编码器的无监督番茄植株图像深度估计模型. (Chinese)
周云成 ; 邓寒冰 ; 许童羽 ; et al.
Transactions of the Chinese Society of Agricultural Engineering; 2020, Vol. 36 Issue 11, p182-192, 11p

STANDARD deviations DEEP learning ARTIFICIAL neural networ... AUTONOMOUS robots STEREO vision (Computer... CONVOLUTIONAL neural net... …
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38

Comparing Hearing Aid Fitting Methods in Blast-exposed Veterans (SBA)
University of California, San Diego ; NADI Inc.
Benefits of Speech-based Audiometry and Low-gain Hearing Aids for Blast-exposed Veterans

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39

Heat Load Profiles in Industry and the Tertiary Sector: Correlation with Electricity Consumption and Ex Post Modeling.
Jesper, Mateo ; Pag, Felix ; Vajen, Klaus ; et al.
Sustainability (2071-1050); Apr2022, Vol. 14 Issue 7, p4033, 32p

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40

Data Science Algorithms in a Week Ed. 2
Natingga, David ; Natingga, David ; Natingga, David ; et al.

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