Search Results - (( developing based biodiesel algorithm ) OR ( java implication based algorithm ))

A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques by Ahmad, Junaid, Awais, Muhammad, Rashid, Umer, Ngamcharussrivichai, Chawalit, Raza Naqvi, Salman, Ali, Imtiaz

“…The AI-enabled biodiesel prediction methods consist of several stages, i.e., biodiesel data collection, biodiesel data preprocessing, developing, and tuning machine learning (ML) algorithm on biodiesel data, and predicting unknown biodiesel properties. …”
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Real-time control of automotive engine fuelled with Malaysian palm oil biodiesel by Azuwir, Mohd Nor, Mohd Zaki, Abdulmuin, Prof. Dr., Abdul Hamid, Adom, Prof. Dr.

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Artificial Neural Network Optimization Modeling On Engine Performance Of Diesel Engine Using Biodiesel Fuel by M. M., Rahman, D., Ramasamy, K., Kadirgama, M. R., Shukri

“…The experimental results revealed that blends of palm oil methyl ester with diesel fuel provided better engine performance. An ANN model was developed based on the Levenberg-Marquardt algorithm for the engine. …”
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Operator Training Simulator Using Plantwide Control for Biodiesel Production from Waste Cooking Oil by Shikchand Patle, Dipesh

“…Finally, an OTS has been developed for the biodiesel production from WCO. The developed OTS for biodiesel production process has been investigated for several abnormal process conditions. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia by Mohd Zabid, M. Faeid

“…In this research, a hybrid model of system dynamics (SD) and genetic algorithm (GA) was developed to determine the optimal policy in increasing the CPO production in Malaysia. …”
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Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning by Manu Suvarna, Mohammad Islam Jahirul, Yeap, Aaron Wai Hung, Cheryl Valencia Augustine, Anushri Umesh, Mohammad Golam Rasul, Mehmet Erdem Günay, Ramazan Yildirim, Jidon Janaun

“…To this aim, machine learning (ML) based predictive models were developed for cetane number (CN) and cold filter plugging point (CFPP), where the extreme gradient boost (XGB) and random forest (RF) algorithms had the best performance with R2 of 0.89 and 0.91 on the test data, respectively. …”
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An ANN-based fuel injection strategy for green hydrogen-enriched advanced CRDI Engine: the paradigm approach of NSGA-II and TOPSIS by Goud, P. Ajay, Baba, Mohammad Sikindar

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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Optimization of transesterification process for Ceiba pentandra oil: A comparative study between kernel-based extreme learning machine and artificial neural networks by Kusumo F., Silitonga A.S., Masjuki H.H., Ong H.C., Siswantoro J., Mahlia T.M.I.