Data-driven analysis in building energy consumption by Poh, Shih Gee

“…The prediction results from the ANN model show a coefficient of determination value, R2 , for SiteEU, SiteEUI and Total GHG Emissions to be 1.0, 0.87 and 0.3 respectively. …”
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Research of modeling and optimization approaches for hybrid ejector-based air conditioning cycle by Wang, Hao

“…The ANN model is then combined with an exhaustive search algorithm to locate the system optimal set points under variant cooling capacities requirement. …”
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An advanced scheme based on Artificial Intelligence technique for solving nonlinear Riccati systems by Admon, Mohd Rashid, Senu, Norazak, Ahmadian, Ali, Abdul Majid, Zanariah

“…Recently, one artificial intelligence technique, known as artificial neural network (ANN), has brought advanced development to the arena of mathematical research. …”

Experimental and numerical investigations of hot-rolled stainless steel channel section columns susceptible to flexural buckling by Li, Shuai, Zhang, Lulu, Liang, Yating, Zhao, Ou

“…A thorough testing and numerical modelling programme has been conducted to investigate the minor-axis flexural buckling behaviour and resistances of pin-ended hot-rolled stainless steel channel section columns. …”
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The psychosocial environment as therapeutic context: family-centered approaches to adolescent psychedelic research by Jacobs, E, Insua-Summerhays, B

Perceptual distortion analysis for images by Dong, Li

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Measuring membrane capacitance during a depolarizing stimulus by Chen, Peng., Gillis, Kevin., Xue, Renhao., Pui, Tze Sian.

“…It is critical to resolve the highly dynamic kinetic steps along the molecular cascade of exocytosis in order to pin down the specific actions of regulatory molecules and eventually decipher this complex and fundamental process.…”
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Electrospun fibres with hyaluronic acid-chitosan nanoparticles produced by a portable device by Fuenteslópez, CV, Ye, H

Nanyang Technological University events management web application by Ang, Kok Jian

“…All essential software development documents have been included to allow easy comprehension by the reader. This report contains five main chapters: Introduction, User Research and Interviews, Design and Implementation, Testing and Evaluation, Conclusion and Future Works. …”
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Decolonising the angels in the ecosystem : Orlando as Virginia Woolf’s ecofeminist vision of Utopia by Wong, Wen Pu

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Universality for the largest eigenvalue of sample covariance matrices with general population by Bao, Zhigang, Pan, Guangming, Zhou, Wang

“…Consequently, in the standard complex case (Exij2 = 0), combing this universality property and the results known for Gaussian matrices obtained by El Karoui in [Ann. Probab. 35 (2007) 663-714] (nonsingular case) and Onatski in [Ann. …”
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Development of a counter-UAV system by Tang, Wen Yue

“…Upon testing, the firing pin mechanism was found to be unable to reliably puncture the CO2 canister, even after improvements. …”
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A scheme of pairwise feature combinations to improve sentiment classification using book review dataset by Abubakar, Haisal Dauda, Huspi, Sharin Hazlin, Mahmood Umar, Mahmood Umar

“…We see that TF-IDF-word2vec performed best among other methods with a mean accuracy of 91.0% (ANN) and 92.5% (LR); showed an improvement of 0.7% and 0.2% respectively over TF-IDF which is the best single vector method. …”
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Putting their best foot forward : emotional disclosure on Facebook by Qiu, Lin, Lin, Han, Tov, William, Leung, Angela K.-y.

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Lessons from a retrospective look at India’s upstream sector by Elango, P

Low-cost machine learning prediction of excited state properties of iridium-centered phosphors by Terrones, Gianmarco G, Duan, Chenru, Nandy, Aditya, Kulik, Heather J

“…Using artificial neural network (ANN) models, we predict the mean emission energy of phosphorescence, the excited state lifetime, and the emission spectral integral for iridium complexes with accuracy competitive with or superseding that of TDDFT. …”
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Effects of electromagnetic field on proliferation, differentiation, and mineralization of MC3T3 cells by Teoh, Swee-Hin, Suryani, Luvita, Too, Jian Hui, Hassanbhai, Ammar Mansoor, Wen, Feng, Lin, Daryl Jimian, Yu, Na

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Understanding and engineering an intelligent swarm. by Lee, Chong Eu.

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Modeling of an intelligent pressure sensor using functional link artificial neural networks by Patra, Jagdish Chandra, Van den Bos, Adriaan

“…A capacitor pressure sensor (CPS) is modeled for accurate readout of applied pressure using a novel artificial neural network (ANN). The proposed functional link ANN (FLANN) is a computationally efficient nonlinear network and is capable of complex nonlinear mapping between its input and output pattern space. …”
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Prediction analysis of COVID-19 in Selangor by using backpropagation algorithm with conjugate gradient method by Ajmal Khan, Noor Amirah, Marjugi, Siti Mahani

“…As a result, using previous COVID-19 data in Selangor, an artificial neural network (ANN) is used as an effective future prediction method. …”
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