Applications of Linear and Ensemble-Based Machine Learning for Predicting Winning Teams in League of Legends by Supratik Chowdhury, Mominul Ahsan, Phoebe Barraclough

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Development and validation of the prediction score for augmented renal clearance in critically Ill Japanese adults by Ryusei Mikami, Shungo Imai, Mineji Hayakawa, Hitoshi Kashiwagi, Yuki Sato, Shunsuke Nashimoto, Mitsuru Sugawara, Yoh Takekuma

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Machine learning-based identification of exosome-related biomarkers and drugs prediction in nasopharyngeal carcinoma by Zhengyu Wei, Guoli Wang, Yanghao Hu, Chongchang Zhou, Yuna Zhang, Yi Shen, Yaowen Wang

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Compressive strength prediction for sandcrete blocks with metakaolin: experiment and multiple linear regression analysis by Akintoye Olumide Oyelade, Ayandele Joshua Ayandeji, Afeez Adeniyi Yekeen, Yetunde O. Abiodun, Oluwasola Oribayo

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Predicting mother and newborn skin-to-skin contact using a machine learning approach by Sanaz Safarzadeh, Nastaran Safavi Ardabili, Mohammadsadegh Vahidi Farashah, Nasibeh Roozbeh, Fatemeh Darsareh

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Green Ground: Construction and Demolition Waste Prediction Using a Deep Learning Algorithm by Wadha N. Alsheddi, Shahad E. Aljayan, Asma Z. Alshehri, Manar F. Alenzi, Norah M. Alnaim, Maryam M. Alshammari, Nouf K. AL-Saleem, Abdulaziz I. Almulhim

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Exploration in association between vitamin D and cutaneous melanoma and explainable machine learning prediction by Lingyi Li, Man Luo

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Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms by Li Yang, Shixin He, Li Tang, Xiao Qin, Yan Zheng

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Predicting Solar Flares Using a Convolutional Neural Network with Extreme-ultraviolet Images by Yun Yang, Yi Wei Ni, P. F. Chen, Xue Shang Feng

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Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization by Bhanu Jain, Manfred Huber, Ramez Elmasri

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Multimodal radiomics in glioma: predicting recurrence in the peritumoural brain zone using integrated MRI by Qian Li, Chaodong Xiang, Xianchun Zeng, Ang Liao, Kang Chen, Jing Yang, Yong Li, Min Jia, Lingheng Song, Xiaofei Hu

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Machine learning in predicting infertility treatment success: A systematic literature review of techniques by Shirin Dehghan, Hamid Moghaddasi, Reza Rabiei, Hamid Choobineh, Keivan Maghooli, Mojtaba Vahidi-Asl

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Predicting Stroke Type (Infarction vs. Hemorrhagic) using Brain.js Deep Learning by Marhaendraputro Eko Arisetijono, Ernanda Shelby Amrus, Karlina Intan Dwi, Nindyasti Raehani Ajeng Prabaswaratna, Syahriar Rivan Tegar

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Predicting the Rheological Performance of Self-Compacting Mortar and Concrete Using Artificial Neural Network by Andreas Kounadis, Angelos Galatis, Agapoula Papakonstantinou, Efstratios Badogiannis

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Displacement-Sensing Method Based on Residual Scaling for One-Shot MMF Specklegram Prediction by Bohao Shen, Jianzhi Li

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Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms by Chenlong Fan, Wenjing Wang, Tao Cui, Ying Liu, Mengmeng Qiao

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Identification of an extracellular matrix signature for predicting prognosis and sensitivity to therapy of patients with gastric cancer by Nan Xu, Taojing Zhang, Weiwei Sun, Chenxiao Ye, Huamiao Zhou

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The missing link: Predicting connectomes from noisy and partially observed tract tracing data. by Max Hinne, Annet Meijers, Rembrandt Bakker, Paul H E Tiesinga, Morten Mørup, Marcel A J van Gerven

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Hybrid machine learning for flood prediction: comparing CHIRPS satellite and ground station data by Agustina Rachmawardani, Budhy Kurniawan, Sastra Kusuma Wijaya, Ardhasena Sopaheluwakan, Marzuki Sinambela

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An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment by M. Karpagam, S. Sarumathi, A. Maheshwari, K. Vijayalakshmi, K. Jagadeesh, V. Bereznychenko, R. Narayanamoorthi

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