Performance Evaluation of Dough Mixing Machine by Kunle Oni, Omowanle Akinmolayan, Adeyemi Mathew Ige

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PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION by Eghbal Motaei, Seyed Mehdi Tabatabai, Tarek Ganat, Ahmad Khanifar, Sulaiman Dzaiy, Timur Chis

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Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights by V. S. Shaisundaram, P. V. Elumalai, S. Padmanabhan, U. Nalini Ramachandran, Abhishek Kumar Tripathi, Cui Yaping, B. Nagaraj Goud, S. Prabhakar

“…These results highlight the potential of ML models in optimizing engine performance for sustainable energy systems across various engine types and fuel sources.…”
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Aircraft Engine Remaining Useful Life Prediction Using Machine Learning by Michael Kimollo, Xudong Liu

“…Knowing the Remaining Useful Life (RUL) of aircraft engines is of paramount importance in the aviation industry. …”
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Optimization of Toolpath Planning and CNC Machine Performance in Time-Efficient Machining by Arbnor Pajaziti, Orlat Tafilaj, Afrim Gjelaj, Besart Berisha

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Improved Machining Performance Through Turn-Milling by Kaveh Rahimzadeh Berenji, Erhan Budak

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Surface engineering for enhanced wicking: The role of laser machining and surface roughness by Elham Lori Zoudani, Nam-Trung Nguyen, Navid Kashaninejad

“…Microchannels were fabricated on a pre-laser-machined hydrophobic square on a silicon substrate, and their wicking performance, i.e., flow rate, water meniscus shape, and durability, was evaluated under various conditions, including different laser parameters, channel orientation, and engraving designs. …”
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Development of automatic CNC machine with versatile applications in art, design, and engineering by Utpal Chandra Das, Nagoor Basha Shaik, Pannee Suanpang, Rajib Chandra Nath, Kedar Mallik Mantrala, Watit Benjapolakul, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…The performance of the CNC writing machine was assessed by testing it on a range of solid surfaces, including paper, cardboard, and wood. …”
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Prediction of Pollutant Emissions from a Low-Speed Marine Engine Based on Harris Hawks Optimization and Lightgbm by Yue Chen, Yulong Shen, Miaomiao Wen, Cunfeng Wei, Junjie Liang, Yuanqiang Li, Ying Sun

Subjects: “…low-speed marine engine…”
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Influence disabling the cylynders of internal combustion engine on working process earthmovers machines by S. S. Zhuravlev

“…The article considers the effects of disabling the cylinder to change the characteristics of the engine earth-moving machines in various operating modes, calculated the diesel engines with subsequent analysis of their performance under different algorithms disable cylinders, evaluated the possibility of using additional flywheel to increase the technological parameters of the machine during operation.…”
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Developing a machine learning model with enhanced performance for predicting COVID‐19 from patients presenting to the emergency room with acute respiratory symptoms by Maha Mesfer Alghamdi, Naael H. Alazwary, Waleed A. Alsowayan, Mohmmed Algamdi, Ahmed F. Alohali, Mustafa A. Yasawy, Abeer M. Alghamdi, Abdullah M. Alassaf, Mohammed R. Alshehri, Hussein A. Aljaziri, Nujoud H. Almoqati, Shatha S. Alghamdi, Norah A. Bin Magbel, Tareq A. AlMazeedi, Nashaat K. Neyazi, Mona M. Alghamdi, Mohammed N. Alazwary

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Advanced Machine Learning Approaches for Predicting Machining Performance in Orthogonal Cutting Process by Sabrina Al Bukhari, Salman Pervaiz

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Effects of Ethanol–Gasoline Blends on the Performance and Emissions of a Vehicle Spark-Ignition Engine by Maciej Gajewski, Szymon Wyrąbkiewicz, Jerzy Kaszkowiak

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Performance Analysis and Reliability Prediction of Multi‐State Service Systems With Multiple Failure Modes of Unreliable Server: An Engineering Perspective by Shreekant Varshney, Mohit Bajaj, Kapil Kumar Choudhary, Mukesh Pushkarna, Ievgen Zaitsev

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Reaching machine learning leverage to advance performance of electrocatalytic CO2 conversion in non-aqueous deep eutectic electrolytes by Ahmed Halilu, Mohamed Kamel Hadj-Kali, Hanee Farzana Hizaddin, Mohd Ali Hashim, Emad M. Ali, Suresh Bhargava

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Hybrid machine learning applications in pavement engineering: predicting spalling with PSO-GBM by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

“…By using data taken from the Long-Term Pavement Performance database, this work fills this gap by developing and assessing predicting models for spalling using cutting-edge machine learning techniques. …”
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Strategic analysis of limitations in high-performance machining systems by Alsigar Masar, Alhafadhi Mahmood

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Prediction of Poisson's ratio for a petroleum engineering application: Machine learning methods. by Fahd Saeed Alakbari, Syed Mohammad Mahmood, Mohammed Abdalla Ayoub, Muhammad Jawad Khan, Funsho Afolabi, Mysara Eissa Mohyaldinn, Ali Samer Muhsan

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Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration by Choudhary Abhik, Adhikari Upasana, Roy Dipankar, Gupta Subir, Roy Priyanka, Bhaduri Aparna

“…This research proposes a new methodology based on ensemble machine learning, assessing, and predicting the outcomes of engineering projects with real-time open-source data focused on sustainability. …”
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COMPLEX PERFORMANCE ANALYSIS OF MEDICAL INSTRUMENT ULTRASONIC MACHINING by Irina K. TSYBRIY, Elena V. VYAKHIREVA, Irina S. KUKHARENKO

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