NOx measurements in vehicle exhaust using advanced deep ELM networks by Ouyang, Tinghui, Wang, Chongwu, Yu, Zhangjun, Stach, Robert, Mizaikoff, Boris, Huang, Guang-Bin, Wang, Qijie

“…Using extreme learning machine (ELM) algorithms with an exceptionally fast learning speed when dealing with big data problems next to excellent generalization abilities, a deep learning network for regressing NOx concentrations was implemented. …”
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Rapid and robust background modeling technique for low-cost road traffic surveillance systems by Garg, Kratika, Ramakrishnan, Nirmala, Prakash, Alok, Srikanthan, Thambipillai

“…Fast and accurate detection of vehicles on road traffic scenes captured by traffic surveillance cameras, is essential for large-scale deployment of automated traffic surveillance systems. …”
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Urban intensity parameterisation by Noor Azzy Zulkifli

“…The fast pace of urbanisation has led to the rapid development of high-density urban systems. …”
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Detection of islanding and fault disturbances in microgrid using wavelet packet transform by Ray, Prakash K., Panigrahi, Basanta K., Rout, Pravat K., Mohanty, Asit, Foo, Eddy Yi Shyh, Gooi, Hoay Beng

“…Fast detection of islanding is very important for effective operation and control in distributed generation (DG) penetrated distribution networks. …”
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A novel light field imaging based 3D geometry measurement technique for turbomachinery blades by Ding, Junfei, Li, Haotian, Ma, Haoxin, Shi, Shengxian, New, Tze How

“…This paper presents a novel snapshot three-dimensional (3D) imaging technique for fast turbomachinery blade geometrical measurements. …”
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Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation by Zhou, Dehong, Yang, Shunfeng, Tang, Yi

“…Model-predictive current control (MPCC) is a promising candidate for modular multilevel converter (MMC) control due to its advantages of direct modeling and fast dynamic response. The conventional MPCC, which obtains the optimal control input by evaluating a cost function for all the possible switching states, may make the MPCC impractical due to the exponentially increasing computation burden with the increasing number of submodules (SMs). …”
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Multi-view human action recognition in meeting scenarios by Yin, Haixiang

“…In addition, we use SlowFast Network as a backbone network for action recognition and use Torchreid (A library for deep learning person re-identification in PyTorch) for instance association after learning the features of the input from different camera viewpoints. …”
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A novel grid-based clustering algorithm by Starczewski, Artur, Scherer, Magdalena M., Ksiek, Wojciech, Dȩbski, Maciej, Wang, Lipo

“…This kind of method is characterized by a fast processing time and it can also discover clusters of arbitrary shapes in datasets. …”
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Crowd-based people detection using deep learning by Chen, Lei

“…Its high detection accuracy and fast detection speed make an effective option for crowded environment scenarios. …”
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VoxCap: FFT-accelerated and Tucker-enhanced capacitance extraction simulator for voxelized structures by Wang, Mingyu, Qian, Cheng, White, Jacob K., Yucel, Abdulkadir C.

“…VoxCap, a fast Fourier transform (FFT)-accelerated and Tucker-enhanced integral equation simulator for capacitance extraction of voxelized structures, is proposed. …”
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Eikonal equation-based earthquake location by Li, Xiaoyan

“…We developed a new earthquake relocation method based on Eikonal equation, which efficiently bridges the gap between the background velocity model and the evolution of seismic wave front.The main parts of this thesis include brief introduction of earthquake location methods, introduction of mathematic principles of earthquake relocation, introduction and explanation of Eikonal-Equation based earthquake location method and its application in both synthetic and realistic catalog data. We also use fast marching method by grid searching and traveltime adjoint tomography method to improve the accuracy and correctness of the earthquake location.…”
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Fault frequency identification of rolling bearing using reinforced ensemble local mean decomposition by Qin, Bo, Luo, Quanyi, Zhang, Juanjuan, Li, Zixian, Qin, Yan

“…In this way, principal frequency components related to rolling bearing failure can be identified with the fast spectral kurtosis algorithm. Finally, the efficacy of the proposed approach is verified through both a benchmark case and a practical platform. …”
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Orientational beamforming via a modified RBF neural network for orientational UWB interference rejection by Han, Jiangyan, Ng, Boon Poh, Er, Meng Hwa

“…The RBF neural network is selected mainly because of its simple structure, convenient training process, and fast convergence speed. However, the conventional Euclidean-distance-based RBF neural network is not suitable for the training process used in this work, as the training samples are noiseless orientational steering vectors in frequency domain. …”
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Heterointerface and tensile strain effects synergistically enhances overall water-splitting in Ru/RuO₂ aerogels by Sui, Nicole L. D., Li, Yinghao, Xie, Wenjie, Wang, Guangzhao, Lee, Jong-Min

“…Designing robust electrocatalysts for water-splitting is essential for sustainable hydrogen generation, yet difficult to accomplish. In this study, a fast and facile two-step technique to synthesize Ru/RuO2 aerogels for catalyzing overall water-splitting under alkaline conditions is reported. …”
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CuO nanowires fabricated by thermal oxidation of Cu foils towards electrochemical detection of glucose by Cao, Xun

“…The Cu-based metal/oxide composite electrode works as a non-enzymatic biosensor that adapts to the fast, dynamic change in glucose concentration, with a low saturation concentration (~0.7 mM) and a lower detection limit of 0.1 mM, making CuO NWs an excellent sensor towards impaired fasting glucose. …”
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Unveiling solvation dynamics of excited and ground states via ultrafast pump–dump–probe spectroscopy by Guo, Yuanyuan, Feng, Minjun, Kuang, Zhuoran, Abeywickrama, Chathura S., Pang, Yi, Xia, Andong

“…The conventional ultrafast pump-probe spectroscopy has primarily focused on examining the formation and decay of the excited state intermediates, but it is very difficult to detect those intermediates while the formation is slow and dissipation is much fast because of the limited concentration during the intrinsic photocycle. …”
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Recent developments in chemical conjugation strategies targeting native amino acids in proteins and their applications in antibody-drug conjugates by Kang, Min Sun, Kong, Theresa Wai See, Khoo, Joycelyn Yi Xin, Loh, Teck-Peng

“…Among such biomolecule conjugates, antibody-drug conjugates (ADCs) need a linker that provides a stable linkage between cytotoxic drugs and antibodies, whilst conjugating in a biologically benign, fast and selective fashion. This review focuses on how the development of novel organic synthesis can solve the problems of traditional linker technology. …”
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Decoupling analysis of brushless dual-mechanical-port dual-electrical-port machines by Cao, Libing, Zhou, You, Yang, Guanghui, He, Yaojie, Xie, Shuangchun, Lee, Christopher Ho Tin

“…Besides, a simple indicator is developed to fast identify the coupling type, i.e., decoupled, low or high coupling design, of BLDD machines, enabling an efficient selection of slot-pole combinations. …”
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Untangling complexity in ASEAN air traffic management through time-varying queuing models by Itoh, Eri, Tominaga, Koji, Schultz, Michael, Duong, Vu N.

“…This paper designed a time-varying queuing network model, which contributed to untangle trajectory complexity in the most congested hotspot area. A series of fast-time simulation experiments were conducted to identify hotspots in en-route airspace in Singapore FIR. …”
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Autonomy mobile or progressive web app for elderly by Liu, Fenghao

“…Despite their efforts to stay current with the fast-paced changes of modern times, the rapid evolution of technology, including application software, can present a significant challenge. …”
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