Nodal Carbon Emission Factor Prediction for Power Systems Based on MDBO-CNN-LSTM by Lihua Zhong, Feng Pan, Yuyao Yang, Lei Feng, Haiming Shao, Jiafu Wang

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Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China. by Ya-Nan Ma, Jing Wang, Guang-Hui Dong, Miao-Miao Liu, Da Wang, Yu-Qin Liu, Yang Zhao, Wan-Hui Ren, Yungling Leo Lee, Ya-Dong Zhao, Qin-Cheng He

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Multi‐trait multi‐environment genomic prediction of preliminary yield trial in pulse crop by Rica Amor Saludares, Sikiru Adeniyi Atanda, Lisa Piche, Hannah Worral, Francoise Dariva, Kevin McPhee, Nonoy Bandillo

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Maternal Nutritional Factors Enhance Birthweight Prediction: A Super Learner Ensemble Approach by Muhammad Mursil, Hatem A. Rashwan, Pere Cavallé-Busquets, Luis A. Santos-Calderón, Michelle M. Murphy, Domenec Puig

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Characterizing the role of early life factors in machine learning-based multimorbidity risk prediction. by Vien Ngoc Dang, Charlotte Cecil, Carmine M Pariante, Jerónimo Hernández-González, Karim Lekadir

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Machine learning-driven SLC prognostic signature for glioma: predicting survival and immunotherapy response by Jianghua Lin, Xiao Yang, Kaijun Zhao, Yu’e Liu, Yu’e Liu

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SCS-Net: Stratified Compressive Sensing Network for Large-Scale Crowd Flow Prediction by Xiaoyong Tan, Kaiqi Chen, Min Deng, Baoju Liu, Zhiyuan Zhao, Youjun Tu, Sheng Wu

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Application of machine learning in breast cancer survival prediction using a multimethod approach by Seyedeh Zahra Hamedi, Hassan Emami, Maryam Khayamzadeh, Reza Rabiei, Mehrad Aria, Majid Akrami, Vahid Zangouri

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Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss by Rui Zhang, Yuanbing Guo, Xiaonan Zhai, Juan Wang, Xiaoyan Hao, Liu Yang, Lei Zhou, Jiawei Gao, Jiayun Liu

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Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system. by Gourab Saha, Fariha Shahrin, Farhan Hasin Khan, Mashook Mohammad Meshkat, Akm Abdul Malek Azad

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Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

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Predicting dementia from primary care records: A systematic review and meta-analysis. by Elizabeth Ford, Nicholas Greenslade, Priya Paudyal, Stephen Bremner, Helen E Smith, Sube Banerjee, Shanu Sadhwani, Philip Rooney, Seb Oliver, Jackie Cassell

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Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy by Martin Guillemaud, Alice Longhena, Louis Cousyn, Valerio Frazzini, Bertrand Mathon, Vincent Navarro, Mario Chavez

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Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers by Hyo-Bin Lee, So-Yeon Kwon, Ji-Hae Park, Bori Kim, Geon-Ha Kim, Jang-Hwan Choi, Young Mi Park

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Intelligent Thermal Condition Monitoring for Predictive Maintenance of Gas Turbines Using Machine Learning by Sadiq T. Bunyan, Zeashan Hameed Khan, Luttfi A. Al-Haddad, Hayder Abed Dhahad, Mustafa I. Al-Karkhi, Ahmed Ali Farhan Ogaili, Zainab T. Al-Sharify

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Use of the 6-minute walk/run test to predict peak oxygen uptake in adolescents by Gabriel Bergmann, Mauren Bergmann, Antônio de Castro, Thiago Lorenzi, Eraldo Pinheiro, Rodrigo Moreira, Alexandre Marques, Adroaldo Gaya

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A Hybrid FEM-CNN for Image-Based Severity Prediction of Corroded Offshore Pipelines by Mohammad Fadzil Najwa, Muda Mohd Fakri, Abdul Shahid Muhammad Daniel, Aziz Norheliena, Mohd Mohd Hairil, Mohd Amin Norliyati, Mohd Hashim Mohd Hisbany

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Predicting Activity in Brain Areas Associated with Emotion Processing Using Multimodal Behavioral Signals by Lahoucine Kdouri, Youssef Hmamouche, Amal El Fallah Seghrouchni, Thierry Chaminade

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Biomimetic Structural Design for Reducing the Adhesion Between Wet Rice Leaves and Metal Surfaces by Pengfei Qian, Qi He, Zhong Tang, Tingwei Gu

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CacPred: a cascaded convolutional neural network for TF-DNA binding prediction by Shuangquan Zhang, Anjun Ma, Xuping Xie, Zhichao Lian, Yan Wang

“…In this study, we demonstrate that CacPred is an effective and feasible model for predicting TF-DNA binding. CacPred is freely available at https://github.com/zhangsq06/CacPred .…”
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