Slope stability prediction under seismic loading based on the EO-LightGBM algorithm by Ning Ma, Ning Ma, Yuqi Zhang, Zaizhen Yao

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Response Prediction and Experimental Validation of Vibration Noise in the Conveyor Trough of a Combine Harvester by Jianpeng Jing, Guangen Yan, Zhong Tang, Shuren Chen, Runzhi Liang, Yuxuan Chen, Xiaoying He

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TRADITIONAL RISK FACTORS AND PREDICTION OF CARDIOVASCULAR COMPLICATIONS IN PATIENTS WITH CHRONIC ISCHEMIC HEART FAILURE by N. A. Kosheleva, A. P. Rebrov

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Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics by Guanglin Liang, Linchong Huang, Chengyong Cao

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Predictive BlockVax Distribution: Enhancing Healthcare Supply Chain Resilience with Blockchain and LSTM by Raji Ramakrishnan Nair, Punam Rattan, Mukesh Kumar, Vivek Bhardwaj

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Porosity prediction of tight reservoir rock using well logging data and machine learning by Yawen He, Hongjun Zhang, Zhiyu Wu, Hongbo Zhang, Xin Zhang, Xiaojing Zhuo, Xiaoli Song, Sha Dai, Wei Dang

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GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication by Vendi Ardianto Nugroho, Byung Moo Lee

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Predicting speed of progression of lens opacification after pars plana vitrectomy with silicone oil. by Philipp Schindler, Luca Mautone, Vasyl Druchkiv, Toam Katz, Martin Stephan Spitzer, Christos Skevas

“…Data was grouped into training and test sets for a mathematical prediction model. Via backward variable selection method a mathematical formula was set up by means of which predictions about lens densitometry (LD) can be calculated.…”
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Developing Geometry Based Criterion Function Method for Predicting Porosity in LM6 Castings by A. Sata, N. Maheta, H. Khandelwal, S.K. Gautam

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A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks by Peng Gao, Weiren Shi, Wei Zhou, Hongbing Li, Xiaogang Wang

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TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights by Andreas Marpaung, David Masterson

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Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification by Yajin Huang, Yuncan Chen, Shimin Xu, Dongyan Wu, Xunyi Wu

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Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

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An Augmented AutoEncoder With Multi-Head Attention for Tool Wear Prediction in Smart Manufacturing by Chunping Dong, Jiaqiang Zhao

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MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction by Mostafijur Rahman, Md Sabbir Hossain, Uland Rozario, Satyabrata Roy, M. F. Mridha, Nilanjan Dey

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MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer by Cici Zhang, Minzhi Zhong, Zhiping Liang, Jing Zhou, Kejian Wang, Jun Bu

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Transfer Learning-Based Interpretable Soil Lead Prediction in the Gejiu Mining Area, Yunnan by Ping He, Xianfeng Cheng, Xingping Wen, Yan Yi, Zailin Chen, Yu Chen

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A novel transformer-based dual attention architecture for the prediction of financial time series by Anita Hadizadeh, Mohammad Jafar Tarokh, Majid Mirzaee Ghazani

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Predicting Credit Card Fraud using Supervised Machine Learning Methods: Comparative Analysis by Güner Altan, Metin Recep Zafer

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Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer by Antonio J. Rodriguez-Almeida, Carmelo Betancort, Ana M. Wägner, Gustavo M. Callico, Himar Fabelo, on behalf of the WARIFA Consortium

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