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41

Data Analysis for Solar Energy Generation in a University Microgrid.
Junghoon Lee ; Seong Baeg Kim ; Gyung-Leen Park
International Journal of Electrical & Computer Engineering (2088-8708); Jun2018, Vol. 8 Issue 3, p1324-1330, 7p

MICROGRIDS BIG data PREDICTION models SOLAR energy MACHINE learning
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42

A Pharmacologically-informed Neural Ordinary Differential Equation Framework to Predict Preclinical Pharmacokinetics
Louis Joslyn ; Megan Ebers ; James Lu ; et al.
Proceedings of the American Conference of Pharmacometrics 2024.

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43

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

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44

Prediksi Harga Emas di Indonesia Menggunakan Gated Recurrent Unit
Handhayani, Teny ; Tanudy, Clara ; Hendryli, Janson
JURNAL FASILKOM; Vol 13 No 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer); 480-488 ; 2808-9162 ; 2089-3353 ; 10.37859/jf.v13i3

Prediction of Gold Price Gated Recurrent Unit Mean Absolute Error Root Mean Squared Error Python Django
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45

Desarrollo y aplicación de técnicas de Machine Learning para la predicción de contagios por Covid-19
Robles-Velasco, Alicia ; Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II ; Artacho Gómez, Cristina ; et al.

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46

Predicting Spread, Recovery and Death Due to COVID-19 using a Time-Series Model (Prophet)
Mahmud, Sk. Golam ; Mishu, Mahbub C. ; Nandi, Dip ; et al.
AIUB Journal of Science and Engineering (AJSE); Vol 20 No 1 (2021): Covid-19 Special Issue 1; 71 - 76; 2520-4890; 1608-3679; 10.53799/ajse.v20i1

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48

Contrast CT classification of asymptomatic and symptomatic carotids in stroke and transient ischaemic attack with deep learning and interpretability
Le, E.P.V ; Evans, N.R ; Tarkin, J.M ; et al.
European Heart Journal ; volume 41, issue Supplement_2 ; ISSN 0195-668X 1522-9645

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49

Data tables and histology from Correlating in vitro performance with physico-chemical characteristics of nanofibrous scaffolds for skin tissue engineering using supervised machine learning algorithms
Lakshmi Y. Sujeeun ; Nowsheen Goonoo ; Honita Ramphul ; et al.

Computational Biology Nanotechnology not elsew... supervised learning algo... skin tissue engineering polymeric scaffold perfo... cell–material interactio... …
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50

Real-time detection of parturition in beef cows managed on extensive rangeland pasture.
Perea, Andres Ricardo ; Cox, Andrew ; Funk, Micah ; et al.
Journal of Animal Science; 2024 Supplement, Vol. 102, p603-603, 3/4p

CATTLE parturition BEEF industry BEEF cattle EUCLIDEAN distance SOCIAL isolation RANGELANDS
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51

Social, Behavioral, and Cultural factors of HIV in Malawi: Semi-Automated Systematic Review.
Thiabaud, Amaury ; Triulzi, Isotta ; Orel, Erol ; et al.
Journal of Medical Internet Research. Aug2020, Vol. 22 Issue 8, pN.PAG-N.PAG. 1p. 1 Chart.

Qualitative research Meta-analysis Sociocultural factors HIV infections Applied sciences Science databases …
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52

VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.
Brindle, Benjamin ; Hull, Thomas Derrick ; Malgaroli, Matteo ; et al.
Psychol Methods

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53

Cement strength prediction using cloud-based machine learning techniques
Salunkhe, SACHIN SOPANRAO ; Kumar, Nand ; Naranje, Vishal

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54

On the Use of Imaging Spectroscopy from Unmanned Aerial Systems (UAS) to Model Yield and Assess Growth Stages of a Broadacre Crop
Hassanzadeh, Amirhossein

Harvest scheduling Hyperspectral Machine learning Precision agriculture Remote sensing Yield modeling
Dissertation/ Thesis
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55

ВОЗМОЖНОСТИ КРАТКОСРОЧНОГО ПРОГНОЗИРОВАНИЯ СТОКА МАЛОЙ РЕКИ С ИСПОЛЬЗОВАНИЕМ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ ; SHORT-TERM FORECASTING OF SMALL RIVER RUNOFF USING MACHINE LEARNING METHODS. e-mail
Vsevolod M. Moreido ; Boris I. Gartsman ; Dimitri P. Solomatine ; et al.
Гидросфера: Опасные процессы и явления, Vol 2, Iss 4 (2020)

гидрологические прогнозы... машинное обучение... прогнозы речного стока... искусственные нейронные... краткосрочные прогнозы р... модели речного стока... …
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56

宽皮柑橘机械损伤致损因素分析及缓冲减损防护措施.
陈红 ; 尹伊君 ; 潘海兵 ; et al.
Transactions of the Chinese Society of Agricultural Engineering. Jan2018, Vol. 34 Issue 1, p258-266. 9p.

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57

Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.
Vowels, Matthew J. ; Vowels, Laura M. ; Wood, Nathan D.
Psychol Methods

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58

Topside Ionosphere Electron Density Model
Shweta Dutta ; orcid:0000-0003-1854-

topside ionosphere electron density machine learning
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59

Optimization and Validation of Two Machine Learning Algorithms for Accurate Prediction of Irrigated Wheat (Triticum aestivum L.) Yield and Identification of its Influential Factors in Khorasan Razavi Province
M Jahan
پژوهشهای زراعی ایران, Vol 23, Iss 4, Pp 511-543 (2025)

cross-validation grid search random forest xgboost yield class Plant culture …
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60

Solar Radiation Prediction Using Decision Tree and Random Forest Models in Open-Source Software
Tucumbi Lisbeth ; Guano Jefferson ; Salazar-Achig Roberto ; et al.
E3S Web of Conferences, Vol 601, p 00051 (2025)

decision tree machine learning random forest solar radiation prediction python …
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