Assessment of IoT-driven predictive maintenance strategies for Computed Tomography equipment: a machine learning approach by Mohd Azrul Shazril, Mohammad Habib Shah Ershad, Mashohor, Syamsiah, Amran, Mohd Effendi, Hafiz, Nur Fatinah, Ali, Azizi Mohd, Naseri, Mohd Saiful, Rasid, Mohd Fadlee A.

“…The ANN model achieved an impressive prediction accuracy of 97.58%, proving its relibility in forecasting breakdowns. …”
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Design of a dual band planar inverted-F antenna for GMS/DCS mobile handset by Fang, Jun

“…This project involved the study of size miniaturization of microstrip antenna techniques: shorting pin and shorting wall, loading, shorted spiral printed antenna and stacked shorted patch antenna are fully discussed.…”
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Study on the wear characteristics of aluminium metal matrix composite with 15% Al2O3 and 20% Al2O3 by Chua, Swu Chun.

“…The objective of this dissertation was to study the wear characteristics and behaviour of aluminium metal matrix composite materials (MMCs), namely Duralcan 286 and Duralcan 284 as a pin material when mated against three types of dics materials.…”
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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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Single antenna power measurements based direction finding : an FRI solution by Zhang, Song Bai

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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

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

Decolonising the angels in the ecosystem : Orlando as Virginia Woolf’s ecofeminist vision of Utopia by Wong, Wen Pu

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High-consequence infectious diseases, bioterrorism, and the imperative for international and US biosecurity and biosafety frameworks for biocontainment clinical laboratories by Madad, S, Jacobson, JL, Caruso, RR, Dunning, J

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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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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