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Refinado por: assunto: Maschinelles Lernen remover Life Sciences & Biomedicine remover
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Supporting the Design of On-Site Infiltration Systems: From a Hydrological Model to a Web App to Meet Pluriannual Stormwater Volume Reduction Targets
Supporting the Design of On-Site Infiltration Systems: From a Hydrological Model to a Web App to Meet Pluriannual Stormwater Volume Reduction Targets
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Supporting the Design of On-Site Infiltration Systems: From a Hydrological Model to a Web App to Meet Pluriannual Stormwater Volume Reduction Targets

Sage, Jérémie ; Berthier, Emmanuel ; Gromaire, Marie-Christine ; Chebbo, Ghassan

Journal of hydrologic engineering, 2024-06, Vol.29 (3) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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2
Unit Operation and Process Modeling with Physics-Informed Machine Learning
Unit Operation and Process Modeling with Physics-Informed Machine Learning
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Unit Operation and Process Modeling with Physics-Informed Machine Learning

Li, Haochen ; Spelman, David ; Sansalone, John

Journal of environmental engineering (New York, N.Y.), 2024-04, Vol.150 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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3
Fat, Oil, and Grease Sewer Waste Management System: A Modeling Platform for Simulating the Formation of FOG Deposits in Sewer Networks
Fat, Oil, and Grease Sewer Waste Management System: A Modeling Platform for Simulating the Formation of FOG Deposits in Sewer Networks
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Fat, Oil, and Grease Sewer Waste Management System: A Modeling Platform for Simulating the Formation of FOG Deposits in Sewer Networks

Simmons, Nathan S. ; Ducoste, Joel J.

Journal of environmental engineering (New York, N.Y.), 2024-04, Vol.150 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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4
Comprehensive Insights into Harmful Algal Blooms: A Review of Chemical, Physical, Biological, and Climatological Influencers with Predictive Modeling Approaches
Comprehensive Insights into Harmful Algal Blooms: A Review of Chemical, Physical, Biological, and Climatological Influencers with Predictive Modeling Approaches
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Comprehensive Insights into Harmful Algal Blooms: A Review of Chemical, Physical, Biological, and Climatological Influencers with Predictive Modeling Approaches

Yan, Zhengxiao ; Kamanmalek, Sara ; Alamdari, Nasrin ; Nikoo, Mohammad Reza

Journal of environmental engineering (New York, N.Y.), 2024-04, Vol.150 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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5
Identifying epilepsy surgery referral candidates with natural language processing in an Australian context
Identifying epilepsy surgery referral candidates with natural language processing in an Australian context
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Identifying epilepsy surgery referral candidates with natural language processing in an Australian context

Tan, Sheryn ; Goh, Rudy ; Ng, Jeng Swen ; Tang, Charis ; Ng, Cleo ; Kovoor, Joshua ; Stretton, Brandon ; Gupta, Aashray ; Ovenden, Christopher ; Courtney, Merran R. ; Neal, Andrew ; Whitham, Emma ; Frasca, Joseph ; Kiley, Michelle ; Abou‐Hamden, Amal ; Bacchi, Stephen

Epilepsia open, 2024-04, Vol.9 (2), p.635-642 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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6
Predicting health effects of food compounds via ensemble machine learning
Predicting health effects of food compounds via ensemble machine learning
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Predicting health effects of food compounds via ensemble machine learning

Mei, Suyu

International journal of food science & technology, 2024-04, Vol.59 (4), p.2547-2557 [Periódico revisado por pares]

Oxford: Wiley Subscription Services, Inc

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7
Comparative study on gene expression in psoriatic lesions versus chronic wound healing processes
Comparative study on gene expression in psoriatic lesions versus chronic wound healing processes
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Comparative study on gene expression in psoriatic lesions versus chronic wound healing processes

Qiong, Zhang ; Dongxue, Fu ; Qing, Zhang ; Yukun, Ren ; Yuepeng, An

International wound journal, 2024-03, Vol.21 (3), p.e14532-n/a [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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8
Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding
Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding
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Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding

Hu, Haifei ; Scheben, Armin ; Wang, Jian ; Li, Fangping ; Li, Chengdao ; Edwards, David ; Zhao, Junliang

Plant biotechnology journal, 2024-03, Vol.22 (3), p.544-554 [Periódico revisado por pares]

England: John Wiley & Sons, Inc

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9
Skinly: A novel handheld IoT device for validating biophysical skin characteristics
Skinly: A novel handheld IoT device for validating biophysical skin characteristics
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Skinly: A novel handheld IoT device for validating biophysical skin characteristics

Tobar, Maria del Pilar Bonilla ; Clemann, Sven ; Hagens, Ralf ; Pagel‐Wolff, Sonja ; Hoppe, Stefan ; Behm, Peter ; Engelhard, Felicia ; Langhals, Maria ; Gallinat, Stefan ; Zhavoronkov, Alex ; Georgievskaya, Anastasia ; Kiselev, Konstantin ; Tlyachev, Timur ; Jaspers, Sören

Skin research and technology, 2024-03, Vol.30 (3), p.e13613-n/a [Periódico revisado por pares]

England: John Wiley & Sons, Inc

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10
Construction of endothelial cell signatures for predicting the diagnosis, prognosis and immunotherapy response of bladder cancer via machine learning
Construction of endothelial cell signatures for predicting the diagnosis, prognosis and immunotherapy response of bladder cancer via machine learning
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Construction of endothelial cell signatures for predicting the diagnosis, prognosis and immunotherapy response of bladder cancer via machine learning

Fu, Yang ; Sun, Shanshan ; Shi, Du ; Bi, Jianbin

Journal of cellular and molecular medicine, 2024-03, Vol.28 (6), p.e18155-n/a [Periódico revisado por pares]

England: John Wiley & Sons, Inc

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