Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies by Qi Liu, Wanjing Ma

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Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

“…Abstract Water droplet erosion (WDE) is a critical degradation phenomenon that significantly affects component lifespan and performance in power generation, aerospace, and wind energy industries. …”
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A Review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia by Louise Pedersen, Magdalena Mazur-Milecka, Jacek Ruminski, Stefan Wagner

“…This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. The search was performed in January and February 2024. It included all papers published before March 2024 obtained from the scientific databases: PubMed, Engineering Village, the Association for Computing Machinery, Scopus, and Web of Science. …”
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Multi-Paragraph Machine Reading Comprehension with Hybrid Reader over Tables and Text by Sanghyun Cho, SeongReol Park, Hye-Lynn Kim, Jung-Hun Lee, JoongMin Shin, Hyuk-Chul Kwon

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Machine Learning-Based Morphological Classification and Diversity Analysis of Ornamental Pumpkin Seeds by Sıtkı Ermiş, Uğur Ercan, Aylin Kabaş, Önder Kabaş, Georgiana Moiceanu

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Data Poisoning Attack on Black-Box Neural Machine Translation to Truncate Translation by Lingfang Li, Weijian Hu, Mingxing Luo

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Clinical Applicability of Machine Learning Models for Binary and Multi-Class Electrocardiogram Classification by Daniel Nasef, Demarcus Nasef, Kennette James Basco, Alana Singh, Christina Hartnett, Michael Ruane, Jason Tagliarino, Michael Nizich, Milan Toma

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Fault Diagnosis in Power Generators: A Comparative Analysis of Machine Learning Models by Quetzalli Amaya-Sanchez, Marco Julio del Moral Argumedo, Alberto Alfonso Aguilar-Lasserre, Oscar Alfonso Reyes Martinez, Gustavo Arroyo-Figueroa

“…The results show that the gradient boosting model presented the best performance according to the performance metrics among single and ensemble ML models. …”
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Development and Comparison of Machine Learning and Deep Learning Models for Speech Audiometry Prediction by Jae sung Shin, Jun Ma, Mao Makara, Nak-Jun Sung, Seong Jun Choi, Sung yeup Kim, Min Hong

“…Future research should focus on feature engineering, hyperparameter optimization, and ensemble approaches to enhance performance and validate real-world applicability. …”
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Effectiveness of machine learning models in diagnosis of heart disease: a comparative study by Waleed Alsabhan, Abdullah Alfadhly

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Ensemble Learning-Based Metamodel for Enhanced Surface Roughness Prediction in Polymeric Machining by Elango Natarajan, Manickam Ramasamy, Sangeetha Elango, Karthikeyan Mohanraj, Chun Kit Ang, Ali Khalfallah

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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data by Md Jobair Bin Alam, Ashish Gunda, Asif Ahmed

“…Strong inverse correlations between soil moisture and resistivity (r = −0.88) and weak positive correlations with temperature (r = 0.41) and suction (r = 0.34) were observed. Among the machine learning models evaluated, artificial neural networks and support vector machines demonstrated superior predictive performance, achieving a coefficient of determination (R²) above 0.77 and lower root mean square error (RMSE) values (less than 0.14). …”
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Transparent and reliable construction cost prediction using advanced machine learning and explainable AI by Lifei Chen, Changyong Xu, Wei Hong Lim, Abhishek Sharma, Sew Sun Tiang, Kim Soon Chong, El-Sayed M. El-kenawy, Amel Ali Alhussan, Marwa M. Eid, Doaa Sami Khafaga

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Machine learning and multicriteria analysis for prediction of compressive strength and sustainability of cementitious materials by Khuram Rashid, Fatima Rafique, Zunaira Naseem, Fahad K. Alqahtani, Idrees Zafar, Minkwan Ju

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Fiber reinforced ceramic matrix composites: from the controlled fabrication to precision machining by Shuoshuo Qu, Yuying Yang, Peng Yao, Luyao Li, Yang Sun, Dongkai Chu

“…This study can provide scientists with a deeper understanding of the shape control mechanism of FRCMCs fabrication and machining, the theoretical basis of material synchronous removal, machining performance, and development direction. …”
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Evaluation of Feature Transformation and Machine Learning Models on Early Detection of Diabetes Mellitus by Ahmed Ali Linkon, Inshad Rahman Noman, Md Rashedul Islam, Joy Chakra Bortty, Kanchon Kumar Bishnu, Araf Islam, Rakibul Hasan, Masuk Abdullah

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Integrating explainable artificial intelligence and light gradient boosting machine for glioma grading by Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi

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Impact of the sequence of system-environment interactions on the functionality and efficiency of quantum thermal machines by Rui Huang, Zhong-Xiao Man, Lu Li, Yun-Jie Xia

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Machine Learning Applications for Predicting Longitudinal Cracking in Continuously Reinforced Concrete Pavement by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

“…This study addresses the critical issue of longitudinal cracking in Continuously Reinforced Concrete Pavement (CRCP), a paramount concern in pavement engineering due to its significant impact on infrastructure performance and longevity. methodology. …”
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Data-Driven Machine Learning-Informed Framework for Model Predictive Control in Vehicles by Edgar Amalyan, Shahram Latifi

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