Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels by Derrick Mirindi, James Hunter, David Sinkhonde, Tajebe Bezabih, Frederic Mirindi

“…This review analyzes secondary data on nanoparticle integration in board production, aiming to evaluate the relationships among physical (water absorption (WA) and thickness swelling (TS)) and mechanical (modulus of rupture (MOR), modulus of elasticity (MOE); and internal bond (IB) strength) properties and to predict performance using machine learning (ML) algorithms. …”
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Machine Learning Prediction of Airfoil Aerodynamic Performance Using Neural Network Ensembles by Diana-Andreea Sterpu, Daniel Măriuța, Grigore Cican, Ciprian-Marius Larco, Lucian-Teodor Grigorie

“…Reliable aerodynamic performance estimation is essential for both preliminary design and optimization in various aeronautical applications. …”
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Performance comparison of machine learning algorithms for condition monitoring of tapered roller bearings by Harshal Aher, Nilesh Ghuge

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Effect of Holes Diameter and Speed of Die on the Performance of Machine and Feed Pellet Quality by Basim Abbas, Abdulrazzak Jasim, Luma Bander

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Comparison of Machine Learning and Deep Learning Models Performance in predicting wind energy by Saswati Rakshit, Anal Ranjan Sengupta

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Improved mapping of highland bamboo forests using Sentinel-2 time series and machine learning in Google Earth Engine by Dagnew Yebeyen, Binyam Tesfaw Hailu, Worku Zewdie, Temesgen Abera, Gudeta W. Sileshi, Melaku Getachew, Sileshi Nemomissa

“…Finally, the best-performing machine learning algorithm was used to classify and map bamboo forests. …”
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Engineering a multi model fallback system for edge devices by Gaurav Kadve, Abishi Chowdhury, Vishal Krishna Singh, Amrit Pal

“…Machine learning (ML) is an effective way to extract information from data and perform decision making on it. …”
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Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization by Jia-Chi Jiang, Nien-Hsun Li, Mo Chen, Kuan-Chung Chen, Chih-Hua Chang

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Predictive Modeling of Compressive Strength and Slump in High-Performance Concrete Utilizing Machine Learning by Yu Yang, Ye Chen, Peng Zhang, Weining Zhang

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Reliability of parts and unrestorable components in the machine design by Yu. P. Manshin, E. Yu. Manshina

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Pathway to Smart Maintenance: Integrating Engineering and Economics Modeling by Rakshith Badarinath, Kai-Wen Tien, Vittaldas V. Prabhu

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Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…Feature engineering can enhance the performance of interpretable models by identifying features that optimize classification. …”
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Comparing Models and Performance Metrics for Lung Cancer Prediction using Machine Learning Approaches. by Ruqiya, Noman Khan, Saira Khan

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Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

“…In this study, the determination and prediction of harvest dates for different crops were performed by applying machine learning techniques on C-band synthetic aperture radar (SAR) data. …”
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Performance analysis of dual-fuel engines using acetylene and microalgae biodiesel: The role of fuel injection timing by M. Sonachalam, R. Jayaprakash, V. Manieniyan, P.S. Raghavendra Rao, G. Vinodhini, Manish Sharma, Teku Kalyani, Mahammadsalman Warimani, Hasan Sh Majdi, T.M. Yunus Khan, Abdul Saddique Shaik, Keerthi Shetty

“…To predict engine performance and emission characteristics, advanced machine learning models were employed and evaluated using four statistical criteria, including R-squared, mean absolute error (MAE), and mean squared error (MSE). …”
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Impact of Data Balancing and Feature Engineering on Accident Severity Models by Fayez ALANAZI, Aminu SULEIMAN

“…This study investigates the impacts of feature engineering techniques, including Clustering, Target Encoding and Anomaly Detection, in conjunction with data balancing methods, on the efficacy of machine learning models for predicting road accident severity. …”
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Basic aspects of methodology for justifying the performance characteristics of a tracked machine with electromechanical transmission by V. N. Kuznetsova, R. V. Romanenko

“…The combination of an internal combustion engine (ICE) and electric machines in a caterpillar machine (CM) makes it possible to maximize the advantages of the latter and compensate for the disadvantages of each. …”
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Harnessing machine learning for high-throughput screening of high thermal conductivity polyimides: A multiscale feature engineering approach by Jiale Han, Chunhua Ying, Yue Cao, Wen Li, Yuan Feng, Masood Mortazavi, Pingfan Wu, Liang Peng, Jiechen Wang

“…In this study, we present a machine learning technique with novel multiscale feature engineering approach to predict and identify high thermal conductivity polyimide efficiently. …”
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A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning by Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias Karl David Weber

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Cybersecurity Requirements for Industrial Machine Control Systems by Leszek Kasprzyczak, Anna Manowska, Marek Dźwiarek

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