Learning stock market dynamics using the kinetic ising model by Nguyen, Ai Linh

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Life is uncertain: inherent variability exhibited by organisms, and at higher levels of biological organization by Bull, JW

Low power PWM based sensor readout circuit by He, Shengyu

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Characterization of copper chemical mechanical polishing induced defects by Teo, Tai Yong.

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Interactive analog filter learning tool by Maung Htun Htun Naing.

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State space predictive control of inverted pendulum by Yong, Tet Leong.

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Multivariable predictive control of a distillation column by Cai, Yue Bin

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Stochastic boundary conditions for molecular dynamics simulations. by Suen, Whei Yeap.

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Part III Singapore : the future project cargo hub of Southeast Asia by Heng, Yi Quan.

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Automated sample preparation systems for medical diagnostics by Johanes Candra, Guo, Xun, Siew, Kok Ewe, Zhang, Meiqing

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Dynamics of housing markets by Tay, Darrell Jiajie

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Grouting in rock cavern - a case study by Chew, Wei Kwang

“…We then make use of the increasingly popular Artificial Neural Network (ANN) to establish a model based on the data mined from OT1-2, in order to predict the volume of grout needed for OT0-1C. …”
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Clone card losses : whose baby should it be? by Lim, Kian Huat., Ng, Clarence Wei Siong., Oon, Boon Ping.

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Aspectual classification of mandarin Chinese verbs : a perspective of scale structure by Peck, JeeYoung, Lin, Jingxia, Sun, Chaofen

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Multiplexed switched- capacitor filter design with emphasize on crosstalk reduction by Li, Jianer.

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Attraction strategies for the unsought services industry : case on the automobile repair and servicing industry. by Soh, See Woon., Ong, Yen Pin., Tay, Joyce Yong Yong.

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Squaring a Circle: To What Extent Are Traditional Circuit Analogies Impeding Synthetic Biology? by Ilia, Katherine, Del Vecchio, Domitilla

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Hybrid modeling in the predictive analytics of energy systems and prices by Gulay, Emrah, Duru, Okan

“…In this regard, the proposed algorithm hybridizes or combines linear components captured by the Autoregressive Distributed Lag Model (ARDL) and nonlinear components processed by the Empirical Mode Decomposition (EMD) and an Artificial Neural Network (ANN) to improve post-sample accuracy. The conventional reiterative process can improve in-sample accuracy, which literally has no value for business forecasting practices. …”
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Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake by Purohit, Shantanu, Ng, Eddie Yin Kwee, Ijaz Fazil Syed Ahmed Kabir

“…In this paper, three machine learning (ML) algorithms, Support Vector Regression (SVR), Artificial Neural Networks (ANN), and Extreme Gradient Boosting (XGBoost), are validated to estimate the velocity and turbulence intensity of a wind turbine's wake at distinct downstream distances. …”
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Breast cancer susceptibility : accessing newly discovered SNPs by Loh, Eunice Ting Wei

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