Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

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Radiomics prediction of MGMT promoter methylation in adult diffuse gliomas: a combination of structural MRI, DCE, and DTI by Yuying Liu, Yuying Liu, Zhengyang Zhu, Jianan Zhou, Han Wang, Huiquan Yang, Jinfeng Yin, Yitong Wang, Xin Li, Futao Chen, Qian Li, Zhuoru Jiang, Xi Wu, Danni Ge, Yi Zhang, Xin Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang

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Hybrid Modeling of an Induction Machine to Support Bearing Diagnostics by Praneet Amitabh, Dimitar Bozalakov, Frederik De Belie

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Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach by P. T. Pranesh, Carmelin Durai Singh, Anand Sivanandam, Raman Muthusamy, Swati Sharma, Taha Alqahtani, Humood Al Shmrany, Daniel Ejim Uti

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Prediction of Al2O3 leaching recovery in the Bayer process using statistical multilinear regresion analysis by Đurić I., Đorđević P., Mihajlović I., Nikolić Đ., Živković Ž.

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Prediction of Heat Transfer Characteristics of the Carbonized Layer of Resin-Based Ablative Material Based on the Finite Element Method by Junjie Gao, Jijun Yu, Haitao Han, Daiying Deng

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Comprehensive assessment of risk factors and development of novel predictive tools for perioperative hidden blood loss in intertrochanteric femoral fractures: a multivariate retros... by Linbing Lou, Lei Xu, Xiaofei Wang, Cunyi Xia, Jihang Dai, Le Hu

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Properties modeling of cement composites made of fly ash by Dragica Jevtić, Dimitrije Zakić, Aleksandar Savić, Aleksandar Radević

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Evaluation of models of enteric methane emissions in finishing steers by J. Vargas, M. Swenson, A.K. Schilling-Hazlett, I.A. Reis, C. Velasquez, E.C. Martins, L. Sitorski, L.M. Campos, P.H.V. Carvalho, K.R. Stackhouse-Lawson, S.E. Place

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Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features by Gang Liang, Suxin Zhang, Yiquan Zheng, Wenqing Chen, Yuan Liang, Yumeng Dong, Lizhen Li, Jianding Li, Caixian Yang, Zengyu Jiang, Sheng He

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MULTI-AXIAL FATIGUE LIFE PREDICTION METHOD OF WORKING ROLL NECK BEARING SECTION BASED ON STRAIN ENERGY by JIN Kai, QIN Xiaofeng, WANG Yong, QU Haixia, LI Shuojie, QIN Zhuoyang, XIE Weihang, MA Feiyang

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Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer by Daqu Zhang, Looket Dihge, Pär-Ola Bendahl, Ida Arvidsson, Magnus Dustler, Julia Ellbrant, Kim Gulis, Malin Hjärtström, Mattias Ohlsson, Cornelia Rejmer, David Schmidt, Sophia Zackrisson, Patrik Edén, Lisa Rydén

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Advancing in creep index of soil prediction: A groundbreaking machine learning approach with Multivariate Adaptive Regression Splines by Mohammed E. Seno, Husein Ali Zeini, Hamza Imran, Mohammed Noori, Sadiq N. Henedy, Nouby M. Ghazaly

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Multimodel Inference for the Prediction of Disease Symptoms and Yield Loss of Potato in a Two-Year Crop Rotation Experiment by Wim Van den Berg, Jan Vos, Johan Grasman

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The application of multivariate classification method by reference points to determine the degree of spontaneous combustion of coal on the example of the Raspadskaya mine in Kuzbas... by F. A. Golynskaya, O. C. Smirnova, R. A. Nikonov

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The Model for Forecasting Livestock Production Using FB-Prophet by Kulyk Anatolii B., Lisovska Valentyna P., Shchekan Nadiia P.

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Wastewater treatment plant design and modeling for the city of Erzurum by Erdinç Aladağ, Alper Nuhoğlu

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Hybrid Modified Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Electric Power Consumption Prediction by Molla Addisu Mossie, Estifanos Abeje Sharew, Tewodros Gera Workineh, Yechale Amogne Alemu

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BP Neural Network Improved by Sparrow Search Algorithm in Predicting Debonding Strain of FRP-Strengthened RC Beams by Guibing Li, Tianyu Hu, Dawei Bai

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Deep‐HH: A deep learning‐based high school student hidden hunger risk prediction system by Yang Yang, Zheng Zhang, Huake Cao, Yuchen Zhang, Minao Wang, Ning Zhang

“…Furthermore, the precision‐recall curve, calibration curve, and decision curve analysis also indicated that our model had high predictive accuracy. To aid practical use, we developed an online application (http://sec.mitusml.com:9000/). …”
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