Influence of Tool Wear and Workpiece Diameter on Surface Quality and Prediction of Surface Roughness in Turning by Chunxiao Li, Guoyong Zhao, Dong Ji, Guangteng Zhang, Limin Liu, Fandi Zeng, Zhihuan Zhao

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AI-based tool wear prediction with feature selection from sound signal analysis by Viet Q. Vu, Tien-Ninh Bui, Minh-Quang Tran

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Machine learning approaches for predicting the link of the global trade network of liquefied natural gas. by Pei Zhao, Hao Song, Guang Ling

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Machine Learning Techniques for Heart Disease Prediction Using a Multi-Algorithm Approach by Muhammad Kunta Biddinika, Alya Masitha, Herman Herman, Vita Arfiana Nurul Fatimah

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Prediction of cardiovascular disease from factors associated with waist hip ratio by machine learning by Zeynep Kucukakcali, Ipek Balikci Cicek

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Attention is required for canonical brain signature of prediction error despite early encoding of the stimuli. by Alie G Male, Robert P O'Shea

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Remaining Useful Life Prediction Based on Wear Monitoring with Multi-Attribute GAN Augmentation by Xiaojun Zhu, Yan Pan, Bin Lan, He Wang, Huixin Huang

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An Improved Nonlinear Health Index CRRMS for the Remaining Useful Life Prediction of Rolling Bearings by Yongze Jin, Xubo Yang, Junqi Liu, Yanxi Yang, Xinhong Hei, Anqi Shangguan

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MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors by Abena Achiaa Atwereboannah, Wei-Ping Wu, Mugahed A. Al-antari, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Edwin K. Tenagyei, Grace-Mercure B. Kissanga, Gyarteng S. A. Emmanuel, Yeong Hyeon Gu, Emmanuel Ahene

“…To address this challenge, we introduce a Multimodal Encoder Network (MEN) aimed at improving the prediction of CYP450 inhibitors. This model combines three types of molecular data (chemical fingerprints, molecular graphs, and protein sequences) by applying specialized encoders tailored to each format. …”
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Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA by Xiaolan Li, Xiaolan Li, Xiaolan Li, Fen Kang, Fen Kang, Fen Kang, Xiaojing Li, Xiaojing Li, Xiaojing Li

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Analysis and Prediction of Disease Burden of Depression in Old Age in China from 1990 to 2021 by BAO Xiaolin, WEI Hongjuan, BIAN Xinxin, MA Xiumei, GAO Yin, ZHANG Yingyan, LIU Wei, MA Yuexian, ZHANG Weixin, YANG Xuewen

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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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Collagen gene signature in the tumor microenvironment predicts survival and guides prognosis in bladder cancer by Yi Huang, Shuogui Fang, Weibin Xie, Yitong Zou, Hui Zhuo, Gang Shen, Hua Zhou, ChunPing Mao, Cong Lai, Jianqiu Kong, Xinxiang Fan

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Identification and validation of prognostic biomarkers in ccRCC: immune-stromal score and survival prediction by Fang Lyu, Yuxin Zhong, Qingliu He, Wen Xiao, Xiaoping Zhang

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EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation by Qiaozhen Meng, Yinuo Lyu, Xiaoqing Peng, Junhai Xu, Jijun Tang, Fei Guo

“…Many EPI predictors have been developed, but their prediction accuracy still needs to be enhanced. Here, we design a new model named EPIMR to identify enhancer-promoter interactions. …”
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Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

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FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction by Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva

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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

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Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics by Chase Maag, Clare K. Fitzpatrick, Paul J. Rullkoetter

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Prediction and Optimization of Bolt Parameters for Automotive Fuel Cell Stack under Random Vibration by Yao Junqi, Yin Yan, Wang Bowen, Zhang Fan, Qin Zhikun, Wang Zixuan, Guo Ting

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