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Refinado por: assunto: Machine Learning remover
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1
Time Series Analysis and Forecasting of Precipitation (Rainfall) Data
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Time Series Analysis and Forecasting of Precipitation (Rainfall) Data

Talhar, Janhavi Ajay ; Ramgirkar, Atharva Girish ; Jena, Pravat Kumar

ECS transactions, 2022-04, Vol.107 (1), p.1271-1307

The Electrochemical Society, Inc

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2
A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks
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A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks

Elalem, Yara Kayyali ; Maier, Sebastian ; Seifert, Ralf W.

International journal of forecasting, 2023-10, Vol.39 (4), p.1874-1894 [Periódico revisado por pares]

Elsevier B.V

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3
Classifying apartment defect repair tasks in South Korea: a machine learning approach
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Artigo
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Classifying apartment defect repair tasks in South Korea: a machine learning approach

Kim, Eunhye ; Ji, Honggeun ; Kim, Jina ; Park, Eunil

Journal of Asian architecture and building engineering, 2022-11, Vol.21 (6), p.2503-2510 [Periódico revisado por pares]

Taylor & Francis

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4
A Data-Driven Temporal Charge Profiling of Electric Vehicles
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A Data-Driven Temporal Charge Profiling of Electric Vehicles

Usman, Dilawar ; Abdul, Khaliq ; Asim, Dilawar

Arabian journal for science and engineering (2011), 2023-11, Vol.48 (11), p.15195-15206 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh
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A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh

Noorunnahar, Mst ; Chowdhury, Arman Hossain ; Mila, Farhana Arefeen V. E., Sathishkumar

PloS one, 2023-03, Vol.18 (3), p.e0283452-e0283452 [Periódico revisado por pares]

United States: Public Library of Science

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6
Time-Series Forecasting of Seasonal Data Using Machine Learning Methods
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Time-Series Forecasting of Seasonal Data Using Machine Learning Methods

Kramar, Vadim ; Alchakov, Vasiliy

Algorithms, 2023-05, Vol.16 (5), p.248 [Periódico revisado por pares]

Basel: MDPI AG

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7
Construction and Research of Ultra-Short Term Prediction Model of Solar Short Wave Irradiance Suitable for Qinghai–Tibet Plateau
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Artigo
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Construction and Research of Ultra-Short Term Prediction Model of Solar Short Wave Irradiance Suitable for Qinghai–Tibet Plateau

Meng, Huimei ; Wu, Lingxiao ; Li, Huaxia ; Song, Yixin

Atmosphere, 2023-07, Vol.14 (7), p.1150 [Periódico revisado por pares]

Basel: MDPI AG

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8
A tree based eXtreme Gradient Boosting
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A tree based eXtreme Gradient Boosting

Noorunnahar, Mst ; Chowdhury, Arman Hossain ; Mila, Farhana Arefeen

PloS one, 2023-03, Vol.18 (3), p.e0283452 [Periódico revisado por pares]

Public Library of Science

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9
A framework of developing machine learning models for facility life-cycle cost analysis
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A framework of developing machine learning models for facility life-cycle cost analysis

Gao, Xinghua ; Pishdad-Bozorgi, Pardis

Building research and information : the international journal of research, development and demonstration, 2020-07, Vol.48 (5), p.501-525 [Periódico revisado por pares]

London: Routledge

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10
FLOODALERT: an internet of things based real-time flash flood tracking and prediction system
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FLOODALERT: an internet of things based real-time flash flood tracking and prediction system

Prakash, Chandra ; Barthwal, Anurag ; Acharya, Debopam

Multimedia tools and applications, 2023-11, Vol.82 (28), p.43701-43727 [Periódico revisado por pares]

New York: Springer US

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