La ville fonctionnelle et les modèles urbains qui lui ont succédé by Herman van der Wusten

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Digital mapping of soil salinity with time-windows features optimization and ensemble learning model by Shuaishuai Shi, Nan Wang, Songchao Chen, Bifeng Hu, Jie Peng, Zhou Shi

“…Furthermore, the results demonstrate that the ensemble model outperforms the individual models in terms of inversion accuracy, whereas the time-series mining method exhibits generalizability across diverse study areas and metrics. …”
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Surface Feature Prediction Modeling and Parameter Optimization for Turning TC17 Titanium Alloy by Zhibo Deng, Zhe Wang, Xuehong Shen

“…The results show that ANN response prediction models have higher prediction accuracy and lower error than RSM prediction models. …”
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Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

“…An automated diagnosis system for schizophrenia detection through a deep learning model is suggested in this research. For this purpose, EEG signals were captured from 36 patients with schizophrenia and 36 healthy controls at resting state. …”
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Modeling feasibility and prediction of minimum and maximum temperature in Iran by bettitt and Holt-Winters methods by Ahmad reza ghasemi

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Heart-on-a-chip: a revolutionary organ-on-chip platform for cardiovascular disease modeling by Beiqin Liu, Shuyue Wang, Hong Ma, Yulin Deng, Jichen Du, Yimeng Zhao, Yu Chen

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Quantitative Analysis of the Relationship between Three Psychological Parameters Based on Swallowtail Catastrophe Model by Asti Meiza, Sutawanir Darwis, Agus Yodi Gunawan, Efi Fitriana

“…A sudden jump in the value of the state variable in a certain dynamical system can be studied through a catastrophe model. This paper presents an application of catastrophe model to solve psychological problems. …”
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Research on Permeability Enhancement Model of Pressure Relief Roadway for Deep Coal Roadway Strip by Zhonghua Wang, Jianjun Cao, Jun Liu, Chengcheng Li

“…Aiming at the problem of permeability enhancement in deep coal roadway strip, it proposed a pressure relief roadway permeability enhancement model, and the model was verified through experiments, theoretical calculations, and field tests. …”
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Thermo-mechanical viscoelastic characterization and modeling of 4D printed shape memory polymers by Israr Ud Din, Siddhesh S. Kulkarni, Kamran A. Khan

“…The majority of existing literature focuses on the characterization and modeling of conventionally synthesized shape memory polymers (SMPs). …”
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A Novel Model for Predicting the Well Production in High-Sulfur-Content Gas Reservoirs by Chunmei Zou, Xiaodong Wang, Jinghong Hu, Yang Lv, Bo Fang, Yuan Zhang

“…Therefore, it is worth developing an accurate production prediction model considering sulfur deposition for fractured horizontal wells. …”
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SOR-Like New Iterative Method for Solving the Epidemic Model and the Prey and Predator Problem by Atika Radid, Karim Rhofir

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Site Prediction Model for the over Rooftop Path in a Suburban Environment at Millimeter Wave by Young Keun Yoon, Kyung Won Kim, Young Jun Chong

“…This paper proposes the site-specific pathloss model for a small town in a suburban environment at millimeter wave. …”
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A Route Choice Model for Road Network Users in Mountainous Cities considering Vulnerability by Lei Wu, Baichuan Lu

“…The model analyzed the traveler’ behavior in complex road network. …”
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Canine Mammary Tumors as a Potential Model for Human Breast Cancer in Comparative Oncology by Amirhossein Razavirad, Sanaz Rismanchi, Pejman Mortazavi, Ahad Muhammadnejad

“…Overall, canine mammary tumors showed strong similarities to human breast cancer in terms of clinical and molecular aspects; therefore, they could be suggested as a model for human breast cancer in comparative oncology.…”
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Experimental Tests and Analytical Modelling of a Scaled Isolated Structure on Sliding and Elastomeric Bearings by Fabio Mazza, Alfonso Vulcano

“…A further objective of this study was to evaluate the reliability of different analytical models of the isolation system, commonly used, in order to adequately simulate the dynamic response of the isolated structure. …”
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GPU-Accelerated Finite Element Method for Modelling Light Transport in Diffuse Optical Tomography by Martin Schweiger

“…We introduce a GPU-accelerated finite element forward solver for the computation of light transport in scattering media. The forward model is the computationally most expensive component of iterative methods for image reconstruction in diffuse optical tomography, and performance optimisation of the forward solver is therefore crucial for improving the efficiency of the solution of the inverse problem. …”
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Response Modelling of a Burnt Clay Brick Wall Subjected to Air Blast Loading. by Katusiime, Bridget

“…This research project presents the response modelling of a burnt clay brick wall subjected to air blast loading. …”
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Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters by Ibrahim, M. Fanuel, Silas, Mirau, Damian, Kajunguri, Francis, Moyo

“…Sensitivity analysis identified the parameters pertaining to human population, human activities, economic measures, and technological efforts as the most influential factors in the model.…”
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Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters by Fanuel, Ibrahim M., Mirau, Silas, Kajunguri, Damian, Moyo, Francis

“…Sensitivity analysis identified the parameters pertaining to human population, human activities, economic measures, and technological efforts as the most influential factors in the model.…”
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

“…The study deals with the use of data mining techniques to build a classification model to predict students' academic performance. …”
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