Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions by Wesam Ahmed, Mudasir Ahmad Wani, Pawel Plawiak, Souham Meshoul, Amena Mahmoud, Mohamed Hammad

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Hydrodynamic Performance and Motion Prediction Before Twin-Barge Float-Over Installation of Offshore Wind Turbines by Mengyang Zhao, Xiang Yuan Zheng, Sheng Zhang, Kehao Qian, Yucong Jiang, Yue Liu, Menglan Duan, Tianfeng Zhao, Ke Zhai

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A State-of-the-Art Review on the Freeze–Thaw Resistance of Sustainable Geopolymer Gel Composites: Mechanisms, Determinants, and Models by Peng Zhang, Baozhi Shi, Xiaobing Dai, Cancan Chen, Canhua Lai

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Modelling Euphrates river water quality index based on field measured data in Al-Diwaniyah City, Iraq by Marwah M. Al-Khuzaie, Khairul Nizam Abdul Maulud, Wan Hanna Melini Wan Mohtar, Zaher Mundher Yaseen

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Predictive value of complete blood count for early diagnosis of mixed infection of the non-erythema migrans form of Lyme borreliosis and tick-borne encephalitis by E. N. Ilyinskikh, E. N. Filatova, Yu. I. Bulankov, V. N. Nekrasov, A. V. Reshetova, E. V. Portnyagina, S. V. Aksyonov, O. V. Voronkova, E. A. Motlokhova, I. N. Ilyanova

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Baseline metabolic signatures predict clinical outcomes in immunotherapy-treated melanoma patients: a pilot study by Simona De Summa, Giuseppe De Palma, Veronica Ghini, Veronica Ghini, Benedetta Apollonio, Ivana De Risi, Antonio Tufaro, Sabino Strippoli, Claudio Luchinat, Claudio Luchinat, Leonardo Tenori, Leonardo Tenori, Leonardo Tenori, Michele Guida

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Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis by XinPei Liu, SanXi Ai, RuiMing Yu, ChaoJi Zhang, Qi Miao

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Early detection of positive urine culture in patients with urolithiasis: a machine learning model with dynamic online nomogram by Di Luo, Jingdong Zhang, Linguo Xie, Chunyu Liu, Rui Wang

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Research on the Precise Regulation of Korla Fragrant Pear Quality Based on Sensitivity Analysis and Artificial Neural Network Model by Mingyang Yu, Yang Li, Lanfei Wang, Weifan Fan, Zengheng Wang, Hao Wang, Kailu Guo, Liang Fu, Jianping Bao

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Surface water quality prediction based on BOA-BiLSTM model(基于BOA-BiLSTM模型的地表水水质预测) by 章佩丽(ZHANG Peili), 赵文雅(ZHAO Wenya), 许旭敏(XU Xumin), 包鑫磊(BAO Xinlei)

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Machine Learning Modeling for Building Energy Performance Prediction Based on Simulation Data: A Systematic Review of the Processes, Performances, and Correlation of Process-Relate... by Damla Kömürcü, Ecem Edis

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Python approach on fuzzy time series Arima (1, 1, 1) model to analyze original and predict results for online retail of fuel booking services by B. Mohamed Harif, Karthikeyan M, K. Perarasan

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Identification and Patient Benefit Evaluation of Machine Learning Models for Predicting 90-Day Mortality After Endovascular Thrombectomy Based on Routinely Ready Clinical Informati... by Andrew Tik Ho Ng, Lawrence Wing Chi Chan

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Hybrid-driven modeling using a BiLSTM–AdaBoost algorithm for diameter prediction in the constant diameter stage of Czochralski silicon single crystals by Yu-Yu Liu, Ding Liu, Shi-Hai Wu, Yi-Ming Jing

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Endpoint carbon content and temperature prediction model in BOF steelmaking based on posterior probability and intra-cluster feature weight online dynamic feature selection by Wang Haodong, Liu Hui, Chen FuGang, Li Heng, Xue XiaoJun

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Effects of Electricity Price Volatility, Energy Mix and Training Interval on Prediction Accuracy: An Investigation of Adaptive and Static Regression Models for Germany, France and... by Marek Pavlík, Matej Bereš

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A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM_2.5 Concentrations in Guangzhou City by Zhenfang He, Qingchun Guo, Zhaosheng Wang, Xinzhou Li

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The Prediction of Civil Building Energy Consumption Using a Hybrid Model Combining Wavelet Transform with SVR and ELM: A Case Study of Jiangsu Province by Xiangxu Chen, Jinjin Mu, Zihan Shang, Xinnan Gao

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Predicting compressive and splitting tensile strength of high volume fly ash roller compacted concrete using ANN and ANN-biogeography based optimization models by Murteda Unverdi, Ramin Kazemi, Yahya Kaya, Naz Mardani, Ali Mardani, Seyedali Mirjalili

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Developing an Innovative Seq2Seq Model to Predict the Remaining Useful Life of Low-Charged Battery Performance Using High-Speed Degradation Data by Yong Seok Bae, Sungwon Lee, Janghyuk Moon

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