Search Results - Model development- modeling methodologies General Terms Algorithms

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems by She, Yining, Biswas, Sumon, Kastner, Christian, Kang, Eunsuk

“…Algorithmic fairness of machine learning (ML) models has raised significant concern in the recent years…”
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Prediction of China's coal production-environmental pollution based on a hybrid genetic algorithm-system dynamics model by Yu, Shiwei, Wei, Yi-ming

“…This paper proposes a hybrid model based on genetic algorithm (GA) and system dynamics (SD…”
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Surrogate Global Optimization for Identifying Cost‐Effective Green Infrastructure for Urban Flood Control With a Computationally Expensive Inundation Model by Lu, Wei, Xia, Wei, Shoemaker, Christine A.

“…Optimization algorithms and urban inundation models are powerful tools to identify cost…”
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Toward Precise Long-Term Rockburst Forecasting: A Fusion of SVM and Cutting-Edge Meta-heuristic Algorithms by Armaghani, Danial Jahed, Yang, Peixi, He, Xuzhen, Pradhan, Biswajeet, Zhou, Jian, Sheng, Daichao

“…), and rime-ice optimization algorithm (RIME)—with support vector machine (SVM), hybrid models for long…”
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Development of a virtual power market model to investigate strategic and collusive behavior of market players by Shafie-khah, Miadreza, Parsa Moghaddam, Mohsen, Sheikh-El-Eslami, Mohamad Kazem

“…). In addition to the collusive behavior, using the proposed model, the short-term strategic…”
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working guide to boosted regression trees by Elith, J., Leathwick, J. R., Hastie, T.

“… Boosted regression trees combine the strengths of two algorithms: regression trees (models that relate a response to their predictors by recursive binary splits) and boosting…”
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A pipeline for stochastic and controlled generation of realistic language input for simulating infant language acquisition by Räsänen, Okko, Kocharov, Daniil

“…Computational models of early language development involve implementing theories of learning as functional learning algorithms, exposing these models to realistic language input, and comparing…”
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Boolean regulatory network reconstruction using literature based knowledge with a genetic algorithm optimization method by Dorier, Julien, Crespo, Isaac, Niknejad, Anne, Liechti, Robin, Ebeling, Martin, Xenarios, Ioannis

“…Background Prior knowledge networks (PKNs) provide a framework for the development of computational biological models, including Boolean models of regulatory networks which are the focus of this work…”
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Development of future energy scenarios with intelligent algorithms: Case of hydro in Turkey by Cinar, Didem, Kayakutlu, Gulgun, Daim, Tugrul

“… This study is contributing to the demonstration of using genetic algorithms (GA) in the development of future energy scenarios as well as to the strategic energy studies in Turkey…”
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A Convex Solution-Sequential Linear Programming Methodology for the Quadratized-OPF Problem by Ilunga, Gad, Sakis Meliopoulos, A. P.

“… Specifically, the development of accurate and computationally efficient methods for formulating and solving the alternative current optimal power flow (ACOPF) problem…”
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ANFIS modelling of the strength properties of natural rubber latex modified concrete by Nyah, Efiok Etim, Onwuka, David Ogbonna, Arimanwa, Joan Ijeoma, Alaneme, George Uwadiegwu, Nakkeeran, G., Onwuka, Ulari Sylvia, Okere, Chinenye Elizabeth

“…), a hybrid AI model that integrates fuzzy logic and neural networks for precise property prediction…”
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Transferred Long Short-Term Memory Network for River Flow Forecasting in Data-Scarce Basins by Xie, Zaichao, Xu, Wei, Zhu, Bing, Yin, Shiming, Yang, Yi, Li, Xiaojie, Wang, Sufan

“…Hydrological models have made significant advances in methodologies and applications in recent years…”
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Predicting coagulation–flocculation process for turbidity removal from water using graphene oxide: a comparative study on ANN, SVR, ANFIS, and RSM models by Ghasemi, Mahdi, Hasani Zonoozi, Maryam, Rezania, Nazila, Saadatpour, Motahareh

“…). Based on partial mutual information (PIM) algorithm, pH, GO dosage, and initial turbidity were selected as the input variables for developing the models…”
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Don’t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning by Levy, Joshua J., O’Malley, A. James

“… Recent comparisons between these algorithms and traditional statistical modeling techniques have largely ignored the superiority gained by the former approaches due to involvement of model-building search algorithms…”
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Machine learning-based estimation of riverine nutrient concentrations and associated uncertainties caused by sampling frequencies by Chen, Shengyue, Zhang, Zhenyu, Lin, Juanjuan, Huang, Jinliang

“… Machine learning models have shown great potentials for estimating water quality with the development of online sensors…”
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Modeling the Spatial Distribution and Fruiting Pattern of a Key Tree Species in a Neotropical Forest: Methodology and Potential Applications by Caillaud, Damien, Crofoot, Margaret C., Scarpino, Samuel V., Jansen, Patrick A., Garzon-Lopez, Carol X., Winkelhagen, Annemarie J. S., Bohlman, Stephanie A., Walsh, Peter D.

“… To date, most attempts to model this relationship were forced to rely on simplified assumptions about the spatiotemporal distribution of food resources…”
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Modeling opening price spread of Shanghai Composite Index based on ARIMA-GRU/LSTM hybrid model by Si, Yuancheng, Nadarajah, Saralees, Zhang, Zongxin, Xu, Chunmin

“… The aim of this research is to bridge the gap in forecasting accuracy by developing a hybrid model that integrates the strengths of ARIMA with deep learning techniques, specifically Long Short-Term Memory (LSTM…”
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Grade Control with Ensembled Machine Learning: A Comparative Case Study at the Carmen de Andacollo Copper Mine by da Silva, Camilla Zacche, Nisenson, Jed, Boisvert, Jeff

“… to higher model accuracy and promotes better decision making. The methodology implemented in this case study uses machine learning algorithms to model copper grade…”
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Multiple Responses Optimization and Modeling of Lipase Production by Rhodotorula mucilaginosa MTCC-8737 Using Response Surface Methodology by Chennupati, Subhakar, Potumarthi, Ravichandra, Gopal Rao, M, Manga, P. Lakshmi, Sridevi, M, Jetty, Annapurna

“…Response surface methodology was employed to optimize culture medium for production of lipase with Rhodotorula sp. MTCC 8737…”
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Electricity estimation using genetic algorithm approach: a case study of Turkey by Ozturk, Harun Kemal, Ceylan, Halim, Canyurt, Olcay Ersel, Hepbasli, Arif

“…This paper describes the use of stochastic search processes that are the basis of genetic algorithms (GAs…”
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