Hyperband-Optimized CNN-BiLSTM with Attention Mechanism for Corporate Financial Distress Prediction by Yingying Song, Monchaya Chiangpradit, Piyapatr Busababodhin

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Application of Fractional Fourier Transform and BP Neural Network in Prediction of Tumor Benignity and Malignancy by Xuanyu Liu, Nan Gao, Shuoran He, Lizhen Wang

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NUMERICAL PREDICTIONS AND MECHANICAL TESTING OF BRAIDED COMPOSITE STRUCTURES UTILISING DIGITAL IMAGE CORRELATION by Emil Pitz, Matei-Constantin Miron, Imre Kállai, Zoltán Major

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An equipment behavioral study in fluidic production processes using data for an optimized predictive maintenance: Application to pneumatic valves in biopharmaceutical Industry by Wadel Florent, Tighazoui Ayoub, Houssin Remy, Coulibaly Amadou

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Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion by Junwei Ma, Meiru Huo, Jinfeng Han, Yunfeng Liu, Shunfa Lu, Xiaokun Yu

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Refinement and validation of the IDIOM score for predicting the risk of gastrointestinal cancer in iron deficiency anaemia by Andrew Clegg, Peter Thomas, Orouba Almilaji, Jonathon Snook, Carla Smith, Elizabeth Williams

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Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy by Azeem Majeed, Thomas Woodcock, Paul Aylin, Julian Redhead, Derryn Lovett, Jacques Naude

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A big data driven multilevel deep learning framework for predicting terrorist attacks by Ume Kalsooma, Sahar Arshad, Amerah Albarah, Imran Siddiqi, Saeed Ullah, Abdul Mateen, Farhan Amin

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Development and validation of a nomogram predicting multidrug-resistant tuberculosis risk in East China by Fang He, Shu Wang, Hua Wang, Xing Ding, Pengfei Huang, Xiaoyun Fan

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Research on the blasting effect prediction and blasting parameter optimization based on PCA-PSO-DBN by Weilong Ma, Biao Qiao, Tongkai Wen, Zhanping Song, Zhenzhong Ren

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Machine learning-driven identification of key risk factors for predicting depression among nurses by Xiaoyan Qi, Xin Huang

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Predicting ESWL success for ureteral stones: a radiomics-based machine learning approach by Ran Yang, Dan Zhao, Chunxue Ye, Ming Hu, Xiao Qi, Zhichao Li

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Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block by Xinyang He, Kun Zhang, Shu Jiang, Zhenxue Jiang, Xueying Wang, Wei Jiang, Jing Li, Yijia Wu, Zhi Gao, Tian Tang, Cheng Yang, Xuejiao Yuan, Fengli Han, Zeyun Wang, Laiting Ye

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Predicting shear capacity of Recycled Aggregate Concrete beams using Artificial Neural Network by Ha HOANG, Tuan-Dung PHAM, Xuan-Tung NGUYEN, Minh Van NGO

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Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network by Ruixuan Huang, Bin Zeng, Dong Ai, Jingjing Yuan, Huiyuan Xu

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A Reflective Revisit of The Standard Model of Indigenous Learning (SMIL): Turning a Theoretical Model Into Application by Sandra D. Barton

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Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods by Yasitha Alahakoon, Hirushan Sajindra, Ashen Krishantha, Janaka Alawatugoda, Imesh U. Ekanayake, Upaka Rathnayake

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An extreme forecast index-driven runoff prediction approach using stacking ensemble learning by Zhiyuan Leng, Lu Chen, Binlin Yang, Siming Li, Bin Yi

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Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network by Yifei Chen, Yang Liu, Kunlin Yang, Lanhao Li, Chao Xiong, Jinling Wang

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Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns by Edrees Ramadan Mersal, Kürşat Mustafa Karaoğlan, Hakan Kutucu

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