Ipsilateral concomitant fractures of the clavicle and coracoid process of the scapula: incidence, characteristics, and outcomes by Nan Zhang, Guoyang Bai, Xiaomin Kang, Yangjun Zhu, Dongxu Feng

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Automated Line for Post-Harvest Processing of Root Crops and Potatoes by A. S. Dorokhov, M. A. Mosyakov, N. V. Sazonov

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Prospective approaches to predictive modeling of degradation processes of track superstructure elements and its application in creating digital twins by O. A. Syslov, V. I. Fedorova

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Predictive modeling of hemoglobin refractive index using Gaussian process regression with interpretability through partial dependence plots by Mustfa Faisal Alkhanani

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Quality Management in Chemical Processes Through Fuzzy Analysis: A Fuzzy C-Means and Predictive Models Approach by Gabriel Marín Díaz

“…The approach uses fuzzy clusters to segment production batches, improving the understanding of process variability. A supervised ML model (XGBoost) is trained on historical data to predict defect probabilities, while an explainable FIS refines the final assessment using expert-defined rules. …”
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Deep learning for predicting myopia severity classification method by WangMeiYu Xing, XiaoNa Li, JingShu Ni, YuanZhi Zhang, ZhongSheng Li, Yong Liu, YiKun Wang, Yao Huang

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Condition Monitoring and Predictive Maintenance in Industrial Equipment: An NLP-Assisted Review of Signal Processing, Hybrid Models, and Implementation Challenges by Jose Garcia, Luis Rios-Colque, Alvaro Peña, Luis Rojas

Subjects: “…predictive maintenance…”
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Enhancing Pharma Manufacturing Efficiency: Integrating Lean Six Sigma and Fuzzy FMEA for Waste Reduction by Rindi Kusumawardani, Adiyodha Ayudha Widyatmoko

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Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data by Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Nicolás Mendoza-Mejía, Nicolás Mendoza-Mejía, Janneth González, Jason Papin, Jason Papin, Jason Papin, Andrés Felipe Aristizábal, Andrés Pinzón

“…IntroductionThe availability of large-scale multi-omic data has revolution-ized the study of cellular machinery, enabling a systematic understanding of biological processes. However, the integration of these datasets into Genome-Scale Models of Metabolism (GEMs) re-mains underexplored. …”
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THE ISSUES OF STABLE ECONOMIC PROCESSES DEVELOPMENT by R. N. Akhmetzyanov

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Applications of machine learning for modeling and advanced control of crystallization processes: Developments and perspectives by Fernando Arrais R.D. Lima, Marcellus G.F. de Moraes, Amaro G. Barreto, Jr, Argimiro R. Secchi, Martha A. Grover, Maurício B. de Souza, Jr

“…This review also presents the development of hybrid models combining ML with physical laws for crystallization processes. For the advanced control of crystallization processes, this review presents the development of advanced control strategies based on ML approaches, such as applying neural networks in a nonlinear model predictive controller and based on reinforcement learning. …”
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A Novel Approach to Enhancing the Accuracy of Prediction in Ship Fuel Consumption by Tianrui Zhou, Jinggai Wang, Qinyou Hu, Zhihui Hu

“…To overcome this limitation, this paper proposes a novel method that integrates Gaussian process prediction with quantile regression theory to perform interval predictions of ship fuel consumption, providing a range of possible outcomes. …”
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Integrating predictive coding and a user-centric interface for enhanced auditing and quality in cancer registry data by Hong-Jie Dai, Chien-Chang Chen, Tatheer Hussain Mir, Ting-Yu Wang, Chen-Kai Wang, Ya-Chen Chang, Shu-Jung Yu, Yi-Wen Shen, Cheng-Jiun Huang, Chia-Hsuan Tsai, Ching-Yun Wang, Hsiao-Jou Chen, Pei-Shan Weng, You-Xiang Lin, Sheng-Wei Chen, Ming-Ju Tsai, Shian-Fei Juang, Su-Ying Wu, Wen-Tsung Tsai, Ming-Yii Huang, Chih-Jen Huang, Chih-Jen Yang, Ping-Zun Liu, Chiao-Wen Huang, Chi-Yen Huang, William Yu Chung Wang, Inn-Wen Chong, Yi-Hsin Yang

“…To streamline this process, a natural language processing system incorporating a hybrid of deep learning-based and rule-based approaches for identifying lung cancer registry-related concepts, along with a symbolic expert system that generates registry coding based on weighted rules, was developed. …”
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Energy-Efficient Prediction of Carbon Deposition in DRM Processes Through Optimized Neural Network Modeling by Rui Fang, Tuo Zhou, Zhuangzhuang Xu, Xiannan Hu, Man Zhang, Hairui Yang

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Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature by Varatharajan Prasannavenkadesan, K. B. Badri Narayanan, Subramanian Raja

“…The proposed system helps to simplify the temperature modelling in surgical drilling process.…”
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Time-Shifted Maps for Industrial Data Analysis: Monitoring Production Processes and Predicting Undesirable Situations by Tomasz Blachowicz, Sara Bysko, Szymon Bysko, Alina Domanowska, Jacek Wylezek, Zbigniew Sokol

Subjects: “…monitoring of industrial processes…”
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Gender Prediction from Social Media Comments with Artificial Intelligence by Özer Çelik, Ahmet Faruk Aslan

Subjects: “…gender prediction…”
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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

“…These outcomes show how the suggested hybrid strategy can be used to efficiently pick and classify features in NLOS signal data processing. According to the results, this approach may improve catastrophe scenario prediction and support faster and more precise search and rescue efforts by supplementing and enhancing current machine-learning techniques. …”
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Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example by Peng Zhang, Xinyang Liu, Huiru Zhang, Chengchun Shi, Gangfu Song, Lei Tang, Ruihua Li

“…Adequate dissolved oxygen (DO) is critical for the maintenance of aquatic ecosystems. However, predicting DO levels in regions with complex hydrological variations remains challenging. …”
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Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

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