GPU-Oriented Algorithms for Continuous Energy Monte Carlo Neutron Transport by Ridley, Gavin

“…Fortunately, the historical event-based MC simulation modality developed extensively through the 1980s for vector computers provides an excellent basis for GPU computing. …”
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Perfect- and quasi- complementary sequences by Liu, Zilong

“…For LC-CSSs over complex roots of unity, a tighter generalized Levenshtein bound on aperiodic correlation sum (over the Welch bound for LC-CSSs) is derived. Also, a new weight vector which leads to a tighter Levenshtein bound for K ≥ 3, is proposed. …”
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Multilevel converter-based grid-connected energy storage systems by Deng, Han

“…The multiphase multilevel converter modulation methods can be classified into high switching frequency ones such as the Sinusoidal Pulse Width Modulation (SPWM) and the Space Vector Modulation (SVM) and low frequency ones with specific modulation objective. …”
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Nuclear magnetic resonance spectroscopic studies of the structure and interactions between hepatitis B virus core and surface antigens with peptides by Muhamad, Azira

“…The peptides, designated preS and S were ligated into pGEX-2T vector and expressed in Escherichia coli. The peptides were purified using the GSTrap FF column and the recombinant peptides were chopped off from the GST tag using thrombin. …”
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Macrobrachium rosenbergii De Man nodavirus recombinant capsid protein production and its interactions with RNA by Goh, Zee Hong

“…The coding region of MrNv capsid protein was cloned into pTrcHis2-TOPO expression vector and introduced into Escherichia coli TOP10 cells. …”
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Multi-sensor calibration and multi-modal perception for intelligent systems by Zhang, Jun

“…To achieve that, accurate extrinsic calibration is indispensable, through which the transformation matrix (rotation matrix and translation vector) between the sensor frames can be obtained. …”
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Active learning with applications in biomedical document annotation by Han, Xu

“…We com- pare variations of our proposed method and find the optimal design of the active learning method, which is to use the vector representa- tion of named entities, and to select documents that are ‘representa- tive’ and ‘informative’, as well as to use the Shared Nearest Neighbor (SNN) clustering approach. …”
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Discrete geodesic graphs by Fang, Zheng

“…I also present a refinement procedure for PVG mesh solver - a vector mesh editing method providing with better visual effects on rough models. …”
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Human Centered Computing : 66th International Conference, HCC 2020, Virtual Event, December 14-15, 2020 : Revised Selected Papers / by HCC (Conference : Human Centered Computing) (6th : 2020 : Online), organiser 642973, Zu, Qiaohong, editor 642970, Tang, Yong, editor 642971, Mladenović, Vladimir, editor 642972

Design and implementation of enhanced lightweight memory-based and monostable physical unclonable functions by Zhong, Hui Shu

“…The prediction accuracies of support vector machine and covariance matrix adaptation – evolution strategy algorithms with more than 3000 training challenge-response pairs converge at 49% and 48.5%, respectively.…”
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Evaluating the socio-environmental impacts of monoculture cashew expansion in the Northern Western Ghats, India by Anushka Rege

“…I also compared the performances of the algorithms Random Forest, Classification And Regression Tree and Support Vector Machine. The mapping exercise showed that the Random Forest algorithm using both optical and radar datasets was best suited to detect and map cashew plantations. …”
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Conformational design characterization of a truncated diamine oxidase by Razali, Nur Nadia

“…Subsequently, a number of model structures were generated using a biomolecular method where the native and mini protein has been successfully cloned into vector pET102/TOPO during the first stage. The transformation of the recombinant proteins was also conducted as the sequencing result was identical to the expected reference sequence. …”
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Design and analysis of passive phase shifters using controllable defected ground structures in 65nm CMOS technology for 77-81 GHz automotive radar by Wu, Jiaqi

“…Active phase shifters like vector summing type employing active devices consume large amount of power and the phase accuracy is normally low due to the active components. …”
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AI techniques in CFD: leveraging physical priors with deep learning to improve on numerical solvers by Loh, Jessica Sher En

“…It takes greater advantage of mesh features by further developing the two geometric representations from part I into the Shortest Vector (SV) and Directional Integrated Distance (DID), which provide global geometry perspective to each input node, and remove the need to collect this information through message-passing. …”
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Optimization of cognitive radio systems with energy harvesting by Pratibha

“…An optimal channel-selection probability vector is obtained to achieve the maximum SU throughput by finding sufficient spectrum-access and energy-harvesting opportunities while accounting for SU contention on the same channel. …”
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Studies on the assessment of abdominal aortic aneurysm rupture risk by Canchi, Tejas

“…Machine learning algorithms (MLA) as a possible approach to hasten the diagnostic process was explored using multiple classifiers such as decision trees, support vector machines (SVM), Naïve Bayes and logistic regression. …”
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Control schemes of voltage source converters in more-electronics power systems by He, Jinsong

“…Load voltage control is realized indirectly by tracking an offline-derived inductor-current vector. A droop-akin strategy is devised to strike a trade-off between the two control objectives. …”
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Security for automotive electrical/electronic (E/E) architectures by Mundhenk, Philipp

“…The interaction of passengers with the infotainment system opens an attack vector on safety-critical in-vehicle systems and requires security to be a priority. …”
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Graph representation learning by Zhang, Xinyi

“…Generating a high-quality graph representation should preserve much information such as node position, subgraph direction and node connection, however, encoding this information in the form of scalar means activating elements in a vector one-by-one which is exponentially less efficient than encoding them with distributed representations, so routing mechanism is applied to generate graph-level representations in the form of capsules which can encode graph information more efficiently. …”
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