A machine learning model with crude estimation of property strategy for performance prediction of perovskite solar cells based on process optimization by Dan Li, Ernie Che Mid, Shafriza Nisha Basah, Xiaochun Liu, Jian Tang, Hongyan Cui, Huilong Su, Qianliang Xiao, Shiyin Gong

“…Nine machine learning algorithms, including decision tree (DT), random forest (RF), CatBoost, LassoLarsCV, histogram gradient boosting, extreme gradient boosting (XGBoost), K nearest neighbor, ridge regression (Ridge), and linear regression (Linear R), were employed to optimize PSC preparation and assess its impact on device performance. …”
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Design of an intelligent grading system for college English translation based on big data technology by Xiaoyan Li, Chengzhou Huang

“…It could improve the quality of feedback provided to students as well as streamline the assessment process for instructors.…”
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A step towards digital transformation within a utility company through process automation for a sustainable energy transition by Nhora Parra, Sandra Giraldo, David laRotta, Betsy Gómez, Yissel Mejía, Laidi Morales, César Nieto‐Londoño, Rafael E. Vásquez

“…These advancements enhance operational efficiency and significantly improve decision‐making capabilities, thereby boosting the reliability of information utilized across various operational domains, including financial, market, and regulatory processes. …”
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Newly graduate nurses' experiences in the COVID-19 pandemic process and factors affecting their experiences: A mixed method study by Yeter Durgun Ozan, Ozlem Cicek, Esra Anus Topdemir

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Mesenchymal-epithelial transition reduces proliferation but increases immune evasion in tumor spheroids by Gina Dimari, Yueyuan Hu, Annika Frenzel, Anke Fuchs, Alexander A. Wurm, Elisabeth Fischer-Friedrich

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Assessing the relationship between nursing process competency and work environment among clinical nurses: a cross-sectional correlational study by Reza Nemati-Vakilabad, Ehsan Kamalifar, Mobina Jamshidinia, Alireza Mirzaei

“…Additionally, targeted training programs should be provided to focus on the nursing process and skills enhancement, thereby boosting both confidence and competency. …”
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Assessment of the effect of the process-induced porosity defects on the fatigue properties of wire arc additive manufactured Al–Si–Mg alloy by Teng Zhan, Ke Xu, Zhipeng Fan, Hanlin Xiang, Congchang Xu, Tianjiao Mei, Yuanyuan Wei, Wentao Chen, Luoxing Li

“…Process-induced porosity significantly affects the fatigue resistance of additive-manufactured components under cyclic loads. …”
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Comparison of Style Features for the Authorship Verification of Literary Texts by Ksenia Vladimirovna Lagutina

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The way of human resource development and resource/infrastructure management affect the agroindustrial innovation process in a merged public research institution by Kirana Rukmayuninda Ririh, Machfud Machfud, Elisa Anggraeni, Nurul Taufiqu Rochman

“…Moreover, giving proper incentives can boost innovation desire that eventually boost innovation process. …”
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House Value Estimation using Different Regression Machine Learning Techniques by Tarek Ghamrawi, Müesser Nat

“…Implementing these regression models can enhance pricing strategies, ensuring efficient buying and selling processes and contributing to the overall financial health of the real estate market. …”
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Automated sleep staging using sequential XGBoost and multi-scale temporal fusion by Jiří Kuchyňka, Oldřich Vyšata

“…This study introduces a novel approach combining multi-scale temporal fusion with sequential XGBoost (eXtreme Gradient Boosting) processing. The approach analyzes polysomnographic data at multiple time scales (30, 15, and 5 s) while incorporating temporal context through sequential processing. …”
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A stacked ensemble model for traffic conflict prediction using emerging sensor data by Bowen Cai, Léah Camarcat, Nicolette Formosa, Mohammed Quddus

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Lightweight detection and segmentation of crayfish parts using an improved YOLOv11n segmentation model by Wei Shi, Jun Zhang, YunFan Fu, DanWei Chen, JianPing Zhu, ChunFeng Lv

“…Abstract Crayfish sub-part processing requires high precision and efficiency in complex environments; however, current methods often fail to effectively handle small anatomical structures and are unsuitable for edge-device deployment. …”
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Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration by Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

“…This innovative segmentation strategy significantly enhances signal clarity and enables the extraction of richer and more localized features, boosting the performance of DL classifiers. The dataset utilized in this work of 12 lead-based standard ECG images consists of four primary classes. …”
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Predicting learners' engagement and help-seeking behaviors in an e-learning environment by using facial and head pose features by Guan-Yun Wang, Yasuhiro Hatori, Yoshiyuki Sato, Chia-Huei Tseng, Satoshi Shioiri

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Artificial intelligence-driven modeling of biodiesel production from fats, oils, and grease (FOG) with process optimization via particle swarm optimization by Badril Azhar, Muhammad Ikhsan Taipabu, Cries Avian, Karthickeyan Viswanathan, Wei Wu, Raymond Lau

“…A ML model evaluation, using various algorithms, identify XGBoost, Extra Trees, Gradient Boosting, LGBM, and Random Forest demonstrate the best performer for predicting process parameters, achieving an R2 value of nearly to 1. …”
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Impact of a Saline Soil Improvement Project on the Spatiotemporal Evolution of Groundwater Dynamic Field and Hydrodynamic Process Simulation in the Hetao Irrigation District by Yule Sun, Liping Wang, Zuting Liu, Yonglin Jia, Zhongyi Qu

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Scalable MOF-based mixed matrix membranes with enhanced permeation processes facilitate the scale application of membrane-based carbon capture technologies by Hao Zhang, Li Sheng, Jia Chen, Xiaolin Wang, Peipei Tao, Dongsheng Ren, Hao Cui, Kai Yang, Zhuozhuo Tang, Zhijun Zhang, Xiangming He, Hong Xu

“…Mixed-matrix membranes (MMMs) leverage the processability of polymers and selectivity of Metal-Organic Frameworks (MOFs). …”
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Assessing reading fluency in elementary grades: A machine learning approach by Gabriel Candido da Silva, Rodrigo Lins Rodrigues, Américo N. Amorim, Lieny Jeon, Emilia X.S. Albuquerque, Vanessa C. Silva, Vinícius F. da Silva, André L.A. Pinheiro, João P.J.R. Nunes, Suzana X.M.G. de Souza, Maxsuel S. Silva, Igor Mauro, Alexandre Magno Andrade Maciel

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Tuning of PID Controller Coefficients for AVR Systems by SA Algorithm by Maryam Ehsani, Morassae Shafiezad

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