Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials by Simin Nazari, Amira Abdelrasoul

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Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme by Lixin Du, Pan Wang, Xiaoting Qiu, Zhigang Li, Jianlan Ma, Pengfei Chen

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Applicability of the multifactor dimensionality reduction methodology to the analysis of variables in sanitary buildings by Alejandro Prieto-Fernández, Álvaro Carmona-Baltasar, Jaime Gónzalez-Domínguez, Manuel Botejara-Domínguez, Gonzalo Sánchez-Barroso, Justo García-Sanz-Calcedo

Subjects: “…multifactor dimensionality reduction; engineering; healthcare building; machine learning; data mining…”
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The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection by Dhani Ariatmanto, Anggi Muhammad Rifai

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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

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Estimating the Bitumen Ratio to be Used in Highway Asphalt Concrete by Machine Learning by Muhammed Yasin Çodur, Halis Bahadir Kasil, Emre Kuşkapan

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Autonomous Real-Time Smoothness Control for Reliable DDQN-Based UAV Navigation Using Cellular Networks by Ghada Afifi, Yasser Gadallah

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Energetic Electron Flux Predictions in the Near‐Earth Plasma Sheet From Solar Wind Driving by B. M. Swiger, M. W. Liemohn, N. Y. Ganushkina, S. V. Dubyagin

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Discussion on Disaster Remote Sensing Application Service Based on Ground Information Port by Qiao HU, Zuoya ZHENG, Gang LIU, Linyao QIU, Yanfeng WU

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Use of artificial intelligence to study the hospitalization of women undergoing caesarean section by Arianna Scala, Giuseppe Bifulco, Anna Borrelli, Rosanna Egidio, Maria Triassi, Giovanni Improta

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Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

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Interpretable machine learning-based prediction of 28-day mortality in ICU patients with sepsis: a multicenter retrospective study by Li Shen, Li Shen, Jiaqiang Wu, Jianger Lan, Chao Chen, Yi Wang, Zhiping Li

Subjects: “…machine learning…”
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Forecasting Occurrence and Intensity of Geomagnetic Activity With Pattern‐Matching Approaches by C. Haines, M. J. Owens, L. Barnard, M. Lockwood, A. Ruffenach, K. Boykin, R. McGranaghan

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Machine Learning-Driven Scattering Efficiency Prediction in Passive Daytime Radiative Cooling by Changmin Shi, Jiayu Zheng, Ying Wang, Chenjie Gan, Liwen Zhang, Brian W. Sheldon

Subjects: “…machine learning…”
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High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats by Erin McDonald, Eric Kehoe, Darcy Deines, Mary McCarthy, Brie Wright, Susan Huse

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SOFTWARE DEVELOPMENT AND RESEARCH FOR MACHINE LEARNING-BASED STRUCTURAL ERRORS DETECTION IN BPMN MODELS by Andrii Kopp, Dmytro Orlovskyi, Igor Gamayun, Illia Sapozhnykov

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Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study by Hikaru Ooba, Jota Maki, Hisashi Masuyama

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Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt by Aubin Ramon, Mingyang Ni, Olga Predeina, Rebecca Gaffey, Patrick Kunz, Shimobi Onuoha, Pietro Sormanni

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Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

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FathomDEM: an improved global terrain map using a hybrid vision transformer model by Peter Uhe, Chris Lucas, Laurence Hawker, Malcolm Brine, Hamish Wilkinson, Anthony Cooper, Alex A Saoulis, James Savage, Christopher Sampson

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