Analysis of fast frequency response of energy storage system-based by Heng, Hong Xun

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A fast sensing algorithm for spectrum detection in cognitive radios by Prashob Ramachandran Nair

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Consumer acceptance of a new fast food : Mexican food by Sim Kay Leong, Tan Mei Lin Lena, Tan Tai Suan Andrew

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Omni-channel retailing - agile for a fast clockspeed environment? by Lim, Chee Keong

“…With the shortening of product lifecycles in the fast clockspeed environment, supply chains have to adapt to the increasingly challenging environment for business continuity. …”
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Fast timing analysis of clock networks considering environmental uncertainty by Wang, Hai, Yu, Hao, Tan, Sheldon X. D.

“…This paper presents a fast verification of clock-skew by an incremental-SVD-based compact modeling assisted with adaptive sampling. …”
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Open-RadVLAD: fast and robust radar place recognition by Gadd, M, Newman, P

Transient photoactivation of anionophores by using redshifted fast-relaxing azobenzenes by Kerckhoffs, A, Ahmad, M, Langton, ML

Flow past a near-wall retrograde rotating cylinder at varying rotation and gap ratios by Tan, Soon Keat, Wang, Xi Kun, Li, Ya Lin, Yuan, Shou Qi

“…The flow past a circular cylinder that is rotating retrograde near a turbulent wall boundary layer at Re = 10 000 has been investigated experimentally using particle image velocimetry (PIV). …”
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Past, present and future relationship between air and sea freight services in Singapore : competition or complementarity by Choo, Cai Ling, Huang, Pauline Jierui, Oh, Adeline Ying Ling

“…This report presents the past, existing and potential competitive or complementary relationship between air and sea freight services in Singapore’s context. …”
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A machine learning approach on past ADS-B data to predict planning controller’s actions by Pham, Duc-Thinh, Alam, Sameer, Su, Yi-Lin, Duong, Vu N.

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Effects of interlayer notch and shear stress on interlayer strength of 3D printed cement paste by He, Lewei, Chow, Wai Tuck, Li, Hua

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Image-based microstructure classification of mortar and paste using convolutional neural networks and transfer learning by Qian, Hanjie, Li, Ye, Yang, Jianfei, Xie, Lihua, Tan, Kang Hai

“…Then, a deep-learning framework based on a convolutional neural network (CNN) was implemented for classifying cement paste mixtures with different water-to-cement ratios and different amounts of added silica fume. …”
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Past foundations, present footprints: a historical analysis of housing development and environmental consequences in Singapore by Tan, Mikohl Xu

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Increasing Dengue Incidence in Singapore over the Past 40 Years: Population Growth, Climate and Mobility by Struchiner, Claudio Jose, Rocklöv, Joacim, Wilder-Smith, Annelies, Massad, Eduardo

“…In Singapore, the frequency and magnitude of dengue epidemics have increased significantly over the past 40 years. It is important to understand the main drivers for the rapid increase in dengue incidence. …”
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Daily allocation of energy consumption forecasting of a power distribution company using optimized least squares support vector machine by Ahmed, Marzia, Mohd Herwan, Sulaiman, Hassan, Md Maruf, Rahaman, Md Atikur, Mohammad, Amin

“…This study presents a novel approach for optimal allocation forecasting of energy consumption in a power distribution company, utilizing the Least Squares Support Vector Machine (LSSVM) optimized by novel variants of the Barnacle Mating Optimizer (BMO) such as the new Gooseneck Barnacle Optimizer and Selective Opposition-based constrained BMO. …”
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Magnetooptical studies of small-gap semiconductors : Hg₁₋ Cd Te and InSb by Weiler, Margaret Horton.

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Transversality enforced Newton–Raphson algorithm for fast calculation of maximum loadability by Ali, Mazhar, Dymarsky, Anatoly, Turitsyn, Konstantin

“…Different possible choices of transversality conditions are discussed together with fast algorithms for evaluating the transversality conditions and their gradients. …”
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RoboTSP - a fast solution to the robotic task sequencing problem by Suárez-Ruiz, Francisco, Lembono, Teguh Santoso, Pham, Quang-Cuong

“…Our contribution in this paper is two-fold. First, we propose a fast, near-optimal, algorithm to solve RTSP. The key to our approach is to exploit the classical distinction between task space and configuration space, which, surprisingly, has been so far overlooked in the RTSP literature. …”
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A fast correction approach to tensor robust principal component analysis by Zhang, Zhechen, Liu, Sanyang, Lin, Zhiping, Xue, Jize, Liu, Lixia

“…To address these issues, a method called fast correction TNN (FC-TNN) is proposed for TRPCA. …”
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Fast MRI Reconstruction : parallel imaging and partial K-space reconstruction by Zhang, Zheng

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