The Creative Industries Effects on Economic Performance in the Time of Pandemic by Che Arshad, Noraziah, Irijanto, Tubagus Thresna

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A 9-bit, 1.08ps resolution two-step time-to-digital converter in 65 nm CMOS for time-mode ADC by Kong, Junjie, Henzler, Stephan, Schmitt-Landsiedel, Doris, Siek, Liter

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Non-markovian momentum computing: thermodynamically efficient and computation universal by Ray, Kyle J., Boyd, Alexander B., Wimsatt, Gregory W., Crutchfield, James P.

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Topography-incorporated adjoint-state surface wave Traveltime tomography: method and a case study in Hawaii by Hao, Shijie, Chen, Jing, Xu, Mijian, Tong, Ping

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Construction work programme and extension of time entitlement [electronic resource] / by Muhammad Aiman Khairuddin 1991-, author 645497, Hamizah Liyana Tajul Ariffin, supervisor 645498, Fakulti Alam Bina 8041

An effective time of use tariffs scheme for residential area in Malaysia / by Sri Nor Hafidah Mohammad Jalani, 1990-, author 611030, Jasrul Jamani Jamian, 1985-, supervisor 513044, Fakulti Kejuruteraan. Sekolah Kejuruteraan Elektrik 619066

An effective time of use tariffs scheme for residential area in Malaysia / by Sri Nor Hafidah Mohammad Jalani, 1990-, author 611030

Advancing STEM Education and Innovation in a Time of Distance Learning / by Gonzalez-Lezcano, Roberto Alonso, 1971- editor 650255, IGI Global (Online service) 631983

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Observation of a Prethermal U(1) Discrete Time Crystal by Stasiuk, Andrew, Cappellaro, Paola

“…A time crystal is a state of periodically driven matter that breaks discrete time-translation symmetry. …”
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Dynamic O(Arboricity) Coloring in Polylogarithmic Worst-Case Time by Ghaffari, Mohsen, Grunau, Christoph

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Fundamental time scales of bubble fragmentation in homogeneous isotropic turbulence by Gaylo, Declan B, Hendrickson, Kelli, Yue, Dick KP

“…We investigate the fundamental time scales that characterise the statistics of fragmentation under homogeneous isotropic turbulence for air–water bubbly flows at moderate to large bubble Weber numbers, 𝑊𝑒 . …”
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LLload: Simplifying Real-Time Job Monitoring for HPC Users by Byun, Chansup, Mullen, Julia, Reuther, Albert Iwersen, Arcand, William, Bergeron, William, Bestor, David, Burrill, Daniel, Gadepally, Vijay, Houle, Michael, Hubbell, Matthew, Jananthan, Hayden, Jones, Michael, Michaleas, Peter, Morales, Guillermo, Prout, Andrew, Rosa, Antonio, Yee, Charles, Kepner, Jeremy, Milechin, Lauren

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Approximating weighted completion time via stronger negative correlation by Baveja, Alok, Qu, Xiaoran, Srinivasan, Aravind

“…Minimizing the weighted completion time of jobs in the unrelated parallel machines model is a fundamental scheduling problem. …”
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Energy-Efficient Real-Time Hardware Acceleration for Gaussian Fitting by Wojtyna, Adrianna D.

“…A promising approach involving Gaussian Mixture Models (GMMs), Single-Pass Gaussian Fitting (SPGF) algorithm, allowed for real-time 3D mapping with minimal memory and energy requirements due to its single-pass processing of input data. …”
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Time-certified Input-constrained NMPC via Koopman Operator by Wu, Liang, Ganko, Krystian, Braatz, Ricahrd D

“…Determining solving-time certificates of nonlinear model predictive control (NMPC) implementations is a pressing requirement when deploying NMPC in production environments. …”
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Quantification and ACD: Evidence from Real-Time Sentence Processing by Hackl, Martin, Koster-Hale, Jorie, Varvoutis, Jason

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South China Sea : time for India to mark its presence by Darshana M. Baruah

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Effects of predictability and controllability on task performance under time constraints. by Tan, Kenley Soon Chew., Ng, Zhichao., Low, Liang Neng.

“…Prior research has proposed two constructs, namely predictability and controllability, in mitigating the adverse effect of time pressure on task performance. In our studies, we investigate these two constructs separately and jointly on task performance under time pressure. …”
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Discrete time optimal control and its applications in power systems by Zhang, Hehong

“…To cream o the best and filter out the impurities, a novel time optimal control algorithm with a simple structure is constructed with the method of the isochronic regions. …”
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Deep learning algorithms for classification of financial time series data by Lim, Kai Wei

“…Long short-term memory (LSTM) networks are a variant of recurrent neural networks (RNN) and are effective in modelling time series data. Specifically, LSTM is able to circumvent the issue of long-term dependency as it has a unique unit structure for storage making it a suitable choice for financial time series classification. …”
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