Early corticospinal tract sub-pathway lesion load and integrity predict post-stroke motor outcomes by Xin Wen, Wentao Zeng, Chiyin Li, Yue Qin, Yanqiang Qiao, Tao Lu, Wanghuan Dun, Ming Zhang, Junya Mu

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Predicting right ventricular failure after left ventricular assist device implant: A novel approach by Carissa E. Livingston, Dale Kim, Lacey Serletti, Andrea Jin, Sriram Rao, Michael V. Genuardi, Eliot G. Peyster

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Perplexity Games: Maoism vs. Literature through the Lens of Cognitive Stylometry by Maciej Kurzynski

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Sustainability Awareness in Manufacturing: A Review of IoT Audio Sensor Applications in the Industry 5.0 Era by Stefania Ferrisi

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Developing a demand planning strategy for joint forecasting and employing analytical tool in an empirical case study by Kiran Basavaraju, Omid Fatahi Valilai

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Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

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Assessment of Heterogeneous Road Traffic Noise in Nagpur by Satish Krishna LOKHANDE, Samir S. PATHAK, Piyush A. KOKATE, Satyajeet A. DHAWALE, Ghanshyam L. BODHE

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Comparative Modeling of a Promising Design of Engine Air Supply and Exhaust Systems with Ejection Dust Removal by Ilya A. Trusevich, Sergey V. Abdulov, Igor A. Taratorkin, Viktor B. Derzhansky

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QSAR prediction of toxicity for a new 1,2,4-triazole derivatives with 2-bromo-5-methoxyphenyl fragment by M. P. Skoryi, R. O. Shcherbyna

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Predicting Pharmacokinetics in Rats Using Machine Learning: A Comparative Study Between Empirical, Compartmental, and PBPK‐Based Approaches by Moritz Walter, Ghaith Aljayyoussi, Bettina Gerner, Hermann Rapp, Christofer S. Tautermann, Pavel Balazki, Miha Skalic, Jens M. Borghardt, Lina Humbeck

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Ultra-short-term Multi-region Power Load Forecasting Based on Spearman-GCN-GRU Model by Junying WU, Xin LU, Hong LIU, Bin ZHANG, Shouliang CHAI, Yunchun LIU, Jianan WANG

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Optimising Physics-Informed Neural Network Solvers for Turbulence Modelling: A Study on Solver Constraints Against a Data-Driven Approach by William Fox, Bharath Sharma, Jianhua Chen, Marco Castellani, Daniel M. Espino

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NN-TOC v1: global prediction of total organic carbon in marine sediments using deep neural networks by N. Parameswaran, N. Parameswaran, E. González, E. Burwicz-Galerne, M. Braack, K. Wallmann

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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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Low-cycle fatigue life modeling of similar and dissimilar carbon steel under rotary friction welding effect using adaptive neuro-fuzzy inference system (ANFIS) by Madyan Abduljabbar Marir, Ewe Lay Sheng, Imad Obaid Bachi, Mohd Rashdan Isa

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Prediction of Shear Capacity of FRP Reinforced Concrete Beams Using Deep Neural Networks Based on Hyperparameter Optimization by Mohammed Sharif

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AE-XGBoost: A Novel Approach for Machine Tool Machining Size Prediction Combining XGBoost, AE and SHAP by Mu Gu, Shuimiao Kang, Zishuo Xu, Lin Lin, Zhihui Zhang

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Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China by Fei Ma, Fei Ma, Qingbin Zhang, Lichun Sui

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Estimating Soybean Yields Using Causal Inference and Deep Learning Approaches With Satellite Remote Sensing Data by Fumin Wang, Jiale Li, Dailiang Peng, Qiuxiang Yi, Xiaoyang Zhang, Jueyi Zheng, Siting Chen

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Enhancing Cloud Security: A Multi-Factor Authentication and Adaptive Cryptography Approach Using Machine Learning Techniques by K. Sasikumar, Sivakumar Nagarajan

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