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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Validity of E-PASS Score for Evaluating Perioperative Minor Complications Associated with Carotid Endarterectomy by Yutaka MORISHIMA, Masahito KAWABORI, Yoichi ITO, Masayuki GEKKA, Koji FURUKAWA, Yoshimasa NIIYA, Miki FUJIMURA

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Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach by Xingyu Liu, Jiali Mo, Zuting Liu, Yanqiu Ge, Tian Luo, Jie Kuang

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Prognostic value of lipid parameters among patients with heart failure: A systematic review and meta‐analysis by Ahmed Sayed, Hesham Afify, Malak Munir, Ibrahim ElGarhy, Omar Shazly, Mohamed ElRefaei, Saeed Ahmed, Ahmed Mazen Amin, Omar Chikh Amine, Islam Y. Elgendy

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Statistical Upscaling Prediction Method of Photovoltaic Cluster Power Considering the Influence of Sand and Dust Weather by Hu Yang, Chang Liu, Zhao Wang, Hongqing Wang

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Application of Bayesian Statistics in Analyzing and Predicting Carburizing-Induced Dimensional Changes in Torsion Bars by Guojin Sun, Zhenggui Li, Yanxiong Jiao, Qi Wang

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Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

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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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Prediction of GTAW penetration state based on enhanced knowledge of dynamic morphology molten pool by Yuxiang HONG, Xiangzhi XIE, Xingxing HE, Dong DU, Baohua CHANG

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IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals by Javokhir Musaev, Abdulaziz Anorboev, Yeong-Seok Seo, Odil Fayzullaev, Akobir Musaev, Ngoc Thanh Nguyen, Dosam Hwang

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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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Machine learning based adaptive traffic prediction and control using edge impulse platform by Manoj Tolani, G. E. Saathwik, Ayush Roy, L. A. Ameeth, Dhanush Bharadwaj Rao, Ambar Bajpai, Arun Balodi

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Development and validation of a nomogram for predicting low Kt/Vurea in peritoneal dialysis patients by Danfeng Zhang, Tian Zhao, Liting Gao, Huan Zhu, Haowei Jin, Guiling Liu, Deguang Wang

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Prediction and Scenario Simulation of Carbon Emissions Peak of Resource-Based Urban Agglomeration with Industrial Clusters—Case of Hubaoe Urban Agglomeration Inner Mongolia Autonom... by Wen Yang, Bing Xia, Yu Li, Xiaoming Qi, Jing Zhang

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Multivariable analysis for predicting lower limb muscular strength with a hip-joint exoskeleton by Byungmun Kang, Changmin Lee, Dongwoo Kim, Hwang-Jae Lee, Dokwan Lee, Hyung Gyu Jeon, Yoonmyung Kim, DaeEun Kim

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Innovations in Artificial Intelligence-Driven Breast Cancer Survival Prediction: A Narrative Review by Mehwish Mooghal, Saad Nasir, Aiman Arif, Wajiha Khan, Yasmin Abdul Rashid, Lubna M Vohra

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Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning by Nebebe Demis Baykemagn, Meron Asmamaw Alemayehu, Tirualem Zeleke Yehuala, Agmasie Damtew Walle, Andualem Enyew Gedefaw, Abraham Keffale Mengistu

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When Time Prevails: The Perils of Overlooking Temporal Landscape Evolution in Landslide Susceptibility Predictions by Jinping Liu, Panxing He, Jianhua Xiao, Qingfeng Hu, Yanqun Ren, Aiding Kornejady, Huiran Gao

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Prediction of the packaging chemical migration into food and water by cutting-edge machine learning techniques by Behzad Vaferi, Mohsen Dehbashi, Reza Yousefzadeh, Ali Hosin Alibak

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One of the approaches to the organization of the modern educational process by A. G. Savenko, Yu. A. Skudnyakov

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