Energy management in a smart DC grid by Goh, Guo Wei.

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Load classification and reshape for energy management of a power grid by Abbas, Mohamed Ameer

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Real time power system simulation using Opal-RT by Shi, Donghan

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Learning segmentation from point trajectories by Karazija, L, Laina, I, Rupprecht, C, Vedaldi, A

“…The key difficulty is that long-term motion, unlike instantaneous motion, is difficult to model – any parametric approximation is unlikely to capture complex motion patterns over long periods of time. …”

TIM: a time interval machine for audio-visual action recognition by Chalk, J, Huh, J, Kazakos, E, Zisserman, A, Damen, D

“…<p>Diverse actions give rise to rich audio-visual signals in long videos. Recent works showcase that the two modalities of audio and video exhibit different temporal extents of events and distinct labels. …”

A Ulam's game for video based action recognition by Zheng, Haofeng

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Intelligent identification of power quality disturbances by Loi, Kevin Jin Han.

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Automatic video assistant based on speech recognition and natural language processing by Zhou, Kaiyu

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Graph neural network in recommender systems by Koh, Yi Kun

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Intelligent elderly care II by Low, Jia Xin.

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A study of using simple features for video classification by Chow, Wei Ling.

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Multi-modes control for three-phase bidirectional AC/DC converter for hybrid AC/DC microgrids by Wang, Jun Jun

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Synthesis of polyaniline nanoparticles for fluorescence sensing applications by Lan, Tian

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Energy storage capacity & allocation in Singapore power system for PV penetration by Liu, Xiaohan

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Local-flexural interactive buckling of S690 high strength steel slender welded I-section columns: testing, modelling and design by Sun, Yao, Liang, Yating, Su, Andi, Zhao, Ou

“…A testing programme, adopting two S690 high strength steel slender welded I-sections, was firstly conducted and included initial geometric imperfection measurements and ten pin-ended column tests. The testing programme was accompanied by a numerical modelling programme, where finite element models were developed and validated against the test results and then employed to perform parametric studies to generate further numerical data over a wide range of cross-section dimensions and member effective lengths. …”
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Evaluation of Deep Learning Algorithms in Predicting Seismic Response of a Reinforced Concrete Structure by Morgan, Jacob A.

“…Findings from the work show the data-driven Long Short-Term Memory (LSTM) network performing the most accurately, but not consistently outperforming the other algorithms. …”
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The Curve of Inflation Expectations and Firms’ Investments by Perinelli, Giuditta

“…Starting from empirical evidence embedded in firms’ inflation expectation curve, we obtain 3 main findings: (1) firms extrapolate for long forecasting horizons, (2) inflation forecasts overreact (underreact) at long (short) forecasting horizons, (3) long-term inflation expectations impact investment decisions. …”
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Investigation of low coherence interferometry techniques for biomedical applications by Chow, Tzu Hao

“…The results showed that there is sufficient resolution in the overall endoscopic OCT probe system to pick out sweat ducts beneath a human skin. The axial resolution of the OCT system depends on the bandwidth of the light source. …”
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Micro electro mechanical systems (MEMS) enabled digital pen by Tan, Joel Qi Zhi

“…A low pass filter was also applied after the EKF to eliminate any short-term fluctuations while keeping the long-term trend. The output of the filters was then used to plot out the letters in the digital world. …”
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Car radar feature based road target classification by Poh, Deon Jing Rui

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