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Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey

Energy policy, 2016-03, Vol.90, p.92-101

Günay, M. Erdem

2016

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Recent advances in knowledge discovery for heterogeneous catalysis using machine learning

Catalysis reviews. Science and engineering, 2021-01, Vol.63 (1), p.120-164

2021

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A goal-directed spatial navigation model using forward trajectory planning based on grid cells

The European journal of neuroscience, 2012-03, Vol.35 (6), p.916-931

2012

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Analysis of lipid production from Yarrowia lipolytica for renewable fuel production by machine learning

Fuel (Guildford), 2022-05, Vol.315, p.122817, Article 122817

2022

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Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning

Renewable energy, 2021-01, Vol.163, p.1299-1317

2021

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Significant parameters and technological advancements in biodiesel production systems

Fuel (Guildford), 2019-08, Vol.250, p.27-41

2019

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Machine learning-based exploration of biochar for environmental management and remediation

Journal of environmental management, 2024-06, Vol.360, p.121162-121162, Article 121162

2024

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Hippocampus and retrosplenial cortex combine path integration signals for successful navigation

The Journal of neuroscience, 2013-12, Vol.33 (49), p.19304-19313

2013

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Analysis of CO selectivity during electroreduction of CO2 in deep eutectic solvents by machine learning

Journal of applied electrochemistry, 2024-07, Vol.54 (7), p.1541-1556

2024

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Evaluation of polymer electrolyte membrane electrolysis by explainable machine learning, optimum classification model, and active learning

Journal of applied electrochemistry, 2023-03, Vol.53 (3), p.415-433

2023

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Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map

ISPRS international journal of geo-information, 2021-08, Vol.10 (8), p.492

2021

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Forecasting annual natural gas consumption using socio-economic indicators for making future policies

Energy (Oxford), 2019-04, Vol.173, p.1106-1118

2019

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Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (18), p.4558

2022

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NFS1 undergoes positive selection in lung tumours and protects cells from ferroptosis

Nature (London), 2017-11, Vol.551 (7682), p.639-643

2017

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Machine learning for algal biofuels: a critical review and perspective for the future

Green chemistry : an international journal and green chemistry resource : GC, 2023-05, Vol.25 (9), p.3354-3373

2023

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Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning

International journal of hydrogen energy, 2022-01, Vol.47 (4), p.2134-2151

2022

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The estimation of non-irrigated crop area and production using the regression analysis approach: A case study of Bursa Region (Turkey) in the mid-nineteenth century

PloS one, 2021-04, Vol.16 (4), p.e0251091

2021

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Integrated usage of historical geospatial data and modern satellite images reveal long-term land use/cover changes in Bursa/Turkey, 1858–2020

Scientific reports, 2022-05, Vol.12 (1), p.9077-9077, Article 9077

2022

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Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production

Biofuels, bioproducts and biorefining, 2016-07, Vol.10 (4), p.422-434

2016

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A biologically inspired hierarchical goal directed navigation model

Journal of physiology, Paris, 2014-02, Vol.108 (1), p.28-37

2014

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Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review

International journal of hydrogen energy, 2017-01, Vol.42 (1), p.243-254

2017

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Iron, Copper, and Selenium: Cancer's Thing for Redox Bling

Cold Spring Harbor perspectives in medicine, 2024-04, Vol.14 (4), p.a041545

2024

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Machine learning solutions for enhanced performance in plant-based microbial fuel cells

International journal of hydrogen energy, 2024-08, Vol.78, p.1060-1069

2024

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Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis

Catalysis today, 2018-01, Vol.299, p.289-302

2018

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Functional connections between optic flow areas and navigationally responsive brain regions during goal-directed navigation

NeuroImage (Orlando, Fla.), 2015-09, Vol.118, p.386-396

2015

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Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey

Recent advances in knowledge discovery for heterogeneous catalysis using machine learning

A goal-directed spatial navigation model using forward trajectory planning based on grid cells

Analysis of lipid production from Yarrowia lipolytica for renewable fuel production by machine learning

Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning

Significant parameters and technological advancements in biodiesel production systems

Machine learning-based exploration of biochar for environmental management and remediation

Hippocampus and retrosplenial cortex combine path integration signals for successful navigation

Analysis of CO selectivity during electroreduction of CO2 in deep eutectic solvents by machine learning

Evaluation of polymer electrolyte membrane electrolysis by explainable machine learning, optimum classification model, and active learning

Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map

Forecasting annual natural gas consumption using socio-economic indicators for making future policies

Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images

NFS1 undergoes positive selection in lung tumours and protects cells from ferroptosis

Machine learning for algal biofuels: a critical review and perspective for the future

Analysis and modeling of high-performance polymer electrolyte membrane electrolyzers by machine learning

The estimation of non-irrigated crop area and production using the regression analysis approach: A case study of Bursa Region (Turkey) in the mid-nineteenth century

Integrated usage of historical geospatial data and modern satellite images reveal long-term land use/cover changes in Bursa/Turkey, 1858–2020

Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production

A biologically inspired hierarchical goal directed navigation model

Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review

Iron, Copper, and Selenium: Cancer's Thing for Redox Bling

Machine learning solutions for enhanced performance in plant-based microbial fuel cells

Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis

Functional connections between optic flow areas and navigationally responsive brain regions during goal-directed navigation

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