Search Results - ((pinaae OR (((pinne OR pinn) OR spine) OR pinaed)) OR (((aina OR bina) OR (anna OR ann)) OR ping))

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Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network by Kauf, Carina, Tuckute, Greta, Levy, Roger, Andreas, Jacob, Fedorenko, Evelina

Published 2024

“…Representations from artificial neural network (ANN) language models have been shown to predict human brain activity in the language network. …”

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Article

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HVAC energy consumption evaluation based prediction of indoor thermal comfort in buildings under artificial neural network (ANN) by Keow, Chin Lun

Published 2016

“…A Levenberg-Marquardt training algorithm based Artificial Neural Network (ANN) approach was adopted to predict Fanger’s Predicted Mean Vote (PMV) value that indicates thermal comfort level. …”

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Final Year Project (FYP)

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Investigating the role of psychological needs in predicting the educational sustainability of Metaverse using a deep learning-based hybrid SEM-ANN technique by Arpaci, Ibrahim, Bahari, Mahadi

Published 2023

“…Further, deep ANN models indicated that hedonic motivation was the most important input factor, followed by autonomy, affiliation, dominance, and achievement. …”

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Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging by M. Altharan, Yahya, Shamsudin, Shazarel, Lajis, Mohd Amri, Al-Alim, Sami, Yusuf, Nur Kamilah, Mohammed Alduais, Nayef Abdulwahab, M. Ghaleb, Atef, Zhou, Wenbin

Published 2024

“…The experimental runs were designed using Full factorial and RSM via Minitab 21 software. RSM-ANN models were employed to examine the effect of factors and their interactions on response and to predict output, while GA-RSM and GA-ANN were used for optimization. …”

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Article

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RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling by Ali, Liaqat, Anwar, Farooq, Qadir, Rahman, Batool, Fozia, Mustaqeem, Muhammad, Mohsin Ali, Rana

Published 2024

“…Arbequina) using response surface methodology (RSM) and artificial neural networking (ANN). Four factors such as time, temperature, solvent concentration, and solute weight (g/100 mL) were evaluated as independent variables for determining the response (% yield). …”

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