Modelling of traffic control delays at priority junctions using artificial neural network by Mohammad Ali Sahraei

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Design of RF front-end circuit blocks for low-power applications by Lim, Kok Meng

“…By incorporating a power amplifier on-chip several considerations need to be addressed, a power amplifier have high gain resulting in a huge signal swings. These signals tend to find their way to other frequency sensitive circuits such as oscillators, through certain feedback paths or substrate coupling. …”
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CASTERS OF EVERVILLE / by Yap, Cherilyn, author 655829, Ikram Wazir, editor 655732

“…Honey, his childhood friend, is determined to find a cure and put her life on the line in order to save her friend. …”

Design and investigation of air-cooled heat sinks using 3D printing technology by Lim, Ming Chong

“…This study presents the heat transfer performance of five pin fin heat sinks that have been fabricated using Selective Laser Melting. …”
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Guidance and navigation of a wheeled mobile robot by Goh, Ing Jya.

“…This project is a continuation of the works of many past graduating students. The scope of this line of endeavor revolves around the development of an autonomously driven four-wheeled vehicle. …”
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Artificial neural network-salp-swarm algorithm for stock price prediction by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Azlan, Abdul Aziz

“…The study’s findings indicate that the SSA-ANN model performs better in predicting the dataset based on the evaluation criteria used.…”
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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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Dynamics of housing markets by Tay, Darrell Jiajie

“…While reviewing previous works on housing bubbles, we find that housing bubbles are often poorly defined. …”
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Modeling the evolution of a primitive supply chain. by Tay, Darrell Jiajie.

“…By allowing the system to evolve in a way postulated by the Reformulated 2nd Law of Thermodynamics (Schneider and Kay, 1994), we inspected the end state energy of the primitive supply chain for different types of evolution. We find that contrary to mature supply chains, primitive supply chains is less affected by information sharing due to a high level of symmetric information shared. …”
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Prediction of rainfall-runoff processes through black-box techniques by Lee, Liang Cen

“…Levenberg-Marquardt Backpropagation (LMBP) was used as training algorithm in ANN model. In order to generate an optimum prediction, different numbers and combinations of data were used as inputs to maximize the efficiency of ANN model. …”
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Person-centred care for dementia patients (front-end Android app) by Neo, Zhao Wei

“…Patients with this brain disease tend to exhibit symptoms of memory loss, impaired judgement, and frequent mood swings. With the ageing population in Singapore growing, the demand for more caregivers, residential care facilities and higher quality of person-centred care has been rising exponentially. …”
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Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by Muhammad Zikri, Japri, Mohd Shahrir, Mohd Sani, Mohd Fadzil Faisae, Ab Rashid, Muriban, Jackly, Galang Sandy, Prayogo

“…These findings endorse the feasibility of applying ANN-GA in scenarios where precise noise prediction is crucial, particularly in relation to alternative fuels like POME.…”
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Stress faced by executives in Singapore. by Par, Hwee Fong., Tan, Chin Ying., Thong, Hwei Ling.

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Challenges faced by women in the corporate world by Ang, Hui Jia, Sim, Jasmine Mei Yao, Yeo, Siew Hong

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Comparative study of accounting standards between Singapore and the Peoples' Republic of China by Neo, Karn Nee, Siew, May San, Swi, Li Li

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Towards Synergistic Understanding of Language Processing in Biological and Artificial Systems by Hosseini Asl, Eghbal

“…How does the amount of training data affect convergence between the human brain and ANN language models? 3. What computational mechanisms could underlie similarities in language processing between human brains and ANN language models? …”
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Convective boiling and condensation in enhanced tubes produced by selective laser melting by Tan, Choon Yong

“…The design of the four tubes are five long circumferential pin fins, eight short circumferential pin fins, twisted pin fins and a metallic foam structure. …”
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Characterization of oil palm fruitlets using artificial neural network by Olukayode, Ojo Adedayo

“…The LSB_ANN has a unique weight update mechanism which employs network layer input-output sensitivity analysis. …”
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A two-dimensional co-rotational Timoshenko beam element with XFEM formulation by Xu, Jin, Lee, Chi King, Tan, Kang Hai

“…Pin connections and plastic hinges produce non-smooth displacement fields in beam structures. …”
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Data-driven power system stability assessment by Kang, Hongyu

“…Through experiments and data results visualization, the accuracy of DT is obtained as 0.9953, SVM as 0.9967 and ANN as 0.9968. Meanwhile, the ROC and AUC curves of ANN and SVM are close to the upper-left intersection, which proves that the model achievement is good. …”
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