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ANN and RSM Prediction of Water Uptake of Recycled HDPE Biocomposite Reinforced with Treated Palm Waste W. filifera
ANN and RSM Prediction of Water Uptake of Recycled HDPE Biocomposite Reinforced with Treated Palm Waste W. filifera
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ANN and RSM Prediction of Water Uptake of Recycled HDPE Biocomposite Reinforced with Treated Palm Waste W. filifera

Ladaci, Naouri ; Saadia, Aziz ; Belaadi, Ahmed ; Boumaaza, Messaouda ; Chai, Boon Xian ; Abdullah, Mahmood M. S. ; Al-Khawlani, Amar ; Ghernaout, Djamel

Journal of natural fibers, 2024-12, Vol.21 (1) [Periódico revisado por pares]

Taylor & Francis Group

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2
Development of Mechanical Extractor for Utilization of Pineapple Leaf Agro-Waste for Textile Application
Development of Mechanical Extractor for Utilization of Pineapple Leaf Agro-Waste for Textile Application
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Development of Mechanical Extractor for Utilization of Pineapple Leaf Agro-Waste for Textile Application

Nayak, Laxmi Kanta ; T, Nageshkumar ; Shrivastava, Prateek ; Jagadale, Manisha ; Baite, Haokhothang ; Shambhu, Vidya Bhushan ; B. S., Manjunatha

Journal of natural fibers, 2024-12, Vol.21 (1) [Periódico revisado por pares]

Taylor & Francis Group

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3
A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes
A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes
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A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes

Moayedi, Hossein ; Ahmadi Dehrashid, Atefeh ; Nguyen Le, Binh

Engineering applications of computational fluid mechanics, 2024-12, Vol.18 (1) [Periódico revisado por pares]

Taylor & Francis Group

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4
Artificial neural network analysis of the flow of nanofluids in a variable porous gap between two inclined cylinders for solar applications
Artificial neural network analysis of the flow of nanofluids in a variable porous gap between two inclined cylinders for solar applications
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Artificial neural network analysis of the flow of nanofluids in a variable porous gap between two inclined cylinders for solar applications

Alotaibi, Abdulaziz ; Gul, Taza ; Saleh Alotaibi, Ibrahim Mathker ; Alghuried, Abdullah ; Alshomrani, Ali Saleh ; Alghuson, Moahd

Engineering applications of computational fluid mechanics, 2024-12, Vol.18 (1) [Periódico revisado por pares]

Taylor & Francis Group

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5
ANN-Based Improved Direct Torque Control of Open-End Winding Induction Motor
ANN-Based Improved Direct Torque Control of Open-End Winding Induction Motor
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ANN-Based Improved Direct Torque Control of Open-End Winding Induction Motor

Lodi, Kaif Ahmed ; Beig, Abdul R. ; Al Jaafari, Khaled Ali ; Aung, Zeyar

IEEE transactions on industrial electronics (1982), 2024-10, Vol.71 (10), p.12030-12040 [Periódico revisado por pares]

New York: IEEE

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6
Application of back propagation neural network in the analysis of isothermal elastohydrodynamic lubrication
Application of back propagation neural network in the analysis of isothermal elastohydrodynamic lubrication
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Application of back propagation neural network in the analysis of isothermal elastohydrodynamic lubrication

Yu, Guanchen ; Zhao, Yang ; Fu, Zhongxue ; Chen, Zhiwei

Tribology international, 2024-10, Vol.198, p.109883, Article 109883 [Periódico revisado por pares]

Elsevier Ltd

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7
Accelerating the Transition to sustainable energy: An intelligent decision support system for generation expansion planning with renewables
Accelerating the Transition to sustainable energy: An intelligent decision support system for generation expansion planning with renewables
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Accelerating the Transition to sustainable energy: An intelligent decision support system for generation expansion planning with renewables

Alabbasi, Abdulla ; Sadhukhan, Jhuma ; Leach, Matthew ; Sanduk, Mohammed

Energy (Oxford), 2024-09, Vol.304, p.131999, Article 131999 [Periódico revisado por pares]

Elsevier Ltd

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8
Binary energy production from pineapple peel waste and optimized by statistical and machine learning approaches
Binary energy production from pineapple peel waste and optimized by statistical and machine learning approaches
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Binary energy production from pineapple peel waste and optimized by statistical and machine learning approaches

Chen, Wei-Hsin ; Liu, Li-Xuan ; Sheen, Herng-Kuang ; Culaba, Alvin B. ; Shiong Khoo, Kuan ; Lim, Steven

Fuel (Guildford), 2024-09, Vol.372, p.132275, Article 132275 [Periódico revisado por pares]

Elsevier Ltd

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9
Thermal performance modelling of solar flat plate parallel tube collector using ANN
Thermal performance modelling of solar flat plate parallel tube collector using ANN
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Thermal performance modelling of solar flat plate parallel tube collector using ANN

Mausam, Kuwar ; Singh, Shiva ; Ghosh, Subrata Kumar ; Singh, Ravindra P.

Energy (Oxford), 2024-09, Vol.303, p.131940, Article 131940 [Periódico revisado por pares]

Elsevier Ltd

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10
Optimization of industrial Fenton process of phenolic effluent using artificial neural network and design of experiments
Optimization of industrial Fenton process of phenolic effluent using artificial neural network and design of experiments
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Optimization of industrial Fenton process of phenolic effluent using artificial neural network and design of experiments

Lima, Marcos Ferrer ; Silva, Bruno Guzzo da ; Asencios, Yvan Jesús Olortiga

Chemical engineering communications, 2024-09, Vol.211 (9), p.1377-1389 [Periódico revisado por pares]

Philadelphia: Taylor & Francis

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