The assessment of soil variables relative importance for cereal yield prediction under rainfed cropping system in Morocco by Oumnia Ennaji, Abdellah Hamma, Leonardus Vergütz, Achraf El Allali

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Improved Crime Prediction Using Hybrid Neural Architecture Search Together with Hyperparameter Tuning by Rami Ayied Alshahrani, Tariq Jamil Saifullah Khanzada

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FLIP: A Novel Feedback Learning-Based Intelligent Plugin Towards Accuracy Enhancement of Chinese OCR by Xinyue Tao, Yueyue Han, Yakai Jin, Yunzhi Wu

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Part of speech weighted multi-modal emotion analysis model with dynamic adjustment of semantic representation by HUA Qiang, CHEN Zhuo, ZHANG Feng, DONG Chunru

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Buoyancy Distribution Model and Cumulative Buoyancy of Shield Tunnel Considering Time-Varying Properties of Slurry by CAO Yang, ZHANG Chaoyu, LIU Yang, LI Guozheng

“…To obtain the dynamic buoyancy of the grouting layer related to construction parameters, the grouting model test was conducted to provide calibration data for the numerical model before the establishment of a shield tail grouting model using the discrete element method. …”
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Automatic Identification of High-Quality Channels in Distributed Acoustic Sensing Through Implementation of a Channel Quality Index by Tatiana Rodriguez, Aleix Segui, Arantza Ugalde, Melania Cubas Armas, Hugo Latorre, Sergi Ventosa, Tony Monfret

“…Identifying and filtering out low-quality channels reduces unnecessary data processing and optimizes resource use. To address this, we developed a channel quality index (CQI), a machine-learning-based approach that automatically identifies high-quality DAS channels based on their ability to record earthquake signals. …”
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Predicting Hospitalization Length in Geriatric Patients Using Artificial Intelligence and Radiomics by Lorenzo Fantechi, Federico Barbarossa, Sara Cecchini, Lorenzo Zoppi, Giulio Amabili, Mirko Di Rosa, Enrico Paci, Daniela Fornarelli, Anna Rita Bonfigli, Fabrizia Lattanzio, Elvira Maranesi, Roberta Bevilacqua

“…(1) Background: Predicting hospitalization length for COVID-19 patients is crucial for optimizing resource allocation and patient management. …”
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Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…AI-driven radiomics and predictive models have yielded promising results in assessing chemotherapy efficacy, optimizing preoperative imaging, and predicting treatment outcomes, thereby advancing the field of precision medicine. …”
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Recognition and localization of ratoon rice rolled stubble rows based on monocular vision and model fusion by Yuanrui Li, Yuanrui Li, Liping Xiao, Liping Xiao, Zhaopeng Liu, Zhaopeng Liu, Muhua Liu, Muhua Liu, Peng Fang, Peng Fang, Xiongfei Chen, Xiongfei Chen, Jiajia Yu, Jiajia Yu, Jinlong Lin, Jinlong Lin, Jinping Cai, Jinping Cai

“…To address the problem of degradation of model's performance when migrated to other monocular cameras, based on the law of the input image’s influence on model's output results, two optimization methods of adjusting inputs and outputs were used that decreased the absolute relative error from 91.9% to 8.8%. …”
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Global research on the utilization of population pharmacokinetic model: a bibliometric analysis from 2000 to 2024 by Yucheng Yao, Yucheng Yao, Liyuan Zhang, Dan Chen, Shiran Qin, Shiran Qin, Mingyu Meng, Qiuyan Guo

“…In addition, wo found that “critically ill patients,” “tacrolimus,” “machine learning,” “external evaluation,” “polymyxin b,” “voriconazole,” “extracorporeal membrane oxygenation,” “dose optimization” and “model-informed precision dosing” are current research hotspots and future research trends.ConclusionThis study is the first comprehensive overview of the development of PPK model and research hotspots using bibliometric methods. …”
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Topographic Position Index Predicts Within-Field Yield Variation in a Dryland Cereal Production System by Jacob A. Macdonald, David M. Barnard, Kyle R. Mankin, Grace L. Miner, Robert H. Erskine, David J. Poss, Sushant Mehan, Adam L. Mahood, Maysoon M. Mikha

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Optimising window size of semantic of classification model for identification of in-text citations based on context and intent. by Arshad Iqbal, Abdul Shahid, Muhammad Roman, Muhammad Tanvir Afzal, Umair Ul Hassan

“…Numerous taxonomies and machine learning models have been developed to analyze citations, but they often overlook the internal context of these citations. …”
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Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS by Paresh Kulkarni, Satish Chinchanikar

“…This shows that ANFIS could be a better option for forecasting the machining performance while turning Inconel 718. However, this study suggests further investigation into ANFIS modeling, with a focus on membership function parameter optimization through hybrid optimization techniques.…”
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Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction by Vitalii Kapitan, Michael Choi

“…Despite their success, machine learning methods face fundamental limitations in optimizing complex high-dimensional energy landscapes, which motivates research into new methods to improve the robustness and performance of optimization algorithms. …”
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Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest by Yaxi Shen, Shunchuan Wu, Yongbing Wang, Jiaxin Wang, Zhiquan Yang

“…To address the limitation of traditional machine learning models in explaining the rockburst intensity prediction process, this study proposes an interpretable rockburst intensity prediction model. …”
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Development and application of an early prediction model for risk of bloodstream infection based on real-world study by Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang, Wei Li

“…Based on the optimal combination, six machine learning algorithms were used to construct an early BSI risk prediction model. …”
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Inversion Model for Total Nitrogen in Rhizosphere Soil of Silage Corn Based on UAV Multispectral Imagery by Hongyan Yang, Jixuan Yan, Guang Li, Weiwei Ma, Xiangdong Yao, Jie Li, Qihong Da, Xuchun Li, Kejing Cheng

“…Among the nitrogen inversion models based on different machine learning algorithms, the PLSR model showed the best performance, followed by the RF model, while the BPNN model performed the worst. …”
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Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Ma... by Lin Luo, Junfeng Yuan, Chen Xu, Huilin Xu, Haojie Tan, Yinhao Shi, Haiping Zhang, Haijun Xi

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Development and Experimental Validation of Auxiliary Rolling Bearing Models for Active Magnetic Bearings (AMBs) Applications by Anna Tangredi, Enrico Meli, Andrea Rindi, Alessandro Ridolfi, Pierluca D’Adamio, Amedeo Frilli, Duccio Fioravanti, Benjamin Defoy

“…During the turbomachine design process, it is fundamental to appropriately choose the auxiliary bearing type and characteristics, because such components have to resist to the rotor impact; so, a supporting design tool based on accurate and efficient models of auxiliary bearings is very useful for the design integration of the Active Magnetic Bearing System into the machine. …”
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Predictability of Flight Arrival Times Using Bidirectional Long Short-Term Memory Recurrent Neural Network by Vladimir Socha, Miroslav Spak, Michal Matowicki, Lenka Hanakova, Lubos Socha, Umer Asgher

“…The results highlight the potential of deep learning models to optimize airport resource allocation and improve operational planning. …”
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