Research on incremental clustering algorithm for big data by Yang Xiaoqing

“…At the same time, it also has efficient and stable computing performance, which meets the expected design requirements and goals.…”
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Physiology of layer 5 pyramidal neurons in mouse primary visual cortex: coincidence detection through bursting. by Adam S Shai, Costas A Anastassiou, Matthew E Larkum, Christof Koch

“…What is the nature and mode of computation performed in mouse primary visual cortex (V1) given the physiology of L5 pyramidal neurons? …”
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Learning and replaying spatiotemporal sequences: A replication study by Jette Oberländer, Jette Oberländer, Younes Bouhadjar, Younes Bouhadjar, Younes Bouhadjar, Abigail Morrison, Abigail Morrison

“…Learning and replaying spatiotemporal sequences are fundamental computations performed by the brain and specifically the neocortex. …”
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Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification by Juan P. Dominguez-Morales, Lourdes Duran-Lopez, Daniel Gutierrez-Galan, Antonio Rios-Navarro, Alejandro Linares-Barranco, Angel Jimenez-Fernandez

“…Multiples ANNs were implemented and deployed in different microcontroller architectures in order to find the best balance between energy consumption and computing performance. The results show that the embedded networks obtain up to 97.96% ± 1.42% accuracy, achieving an energy efficiency of 450 Mops/s/watt.…”
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Social Cognitive Optimization Algorithm for Approximate Path Generation Synthesis of Spherical 4R Linkage by Che Linxian, Huang Yonggang, Du Li

“…Furthermore，comparative tests on computational performance to address the examples are implemented with SCO，DE，and ASCO algorithm，and the numerical experiments indicate that ASCO outperforms SCO and DE in terms of robustness，convergence speed and accuracy.…”
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Offloading of Atomic Tasks in Satellite Networks: A Fast Adaptive Resource Collaboration Method by Yanbing Li, Wei Zhao, Huilong Fan

“…The method improves the overall computational performance and timeliness of the satellite network and reduces the waiting time of atomic tasks competing for resources. …”
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CNN-based salient features in HSI image semantic target prediction by Vishal Srivastava, Bhaskar Biswas

“…Deep networks have escalated the computational performance in the sensor-based high dimensional imaging such as hyperspectral images (HSI), due to their informative feature extraction competency. …”
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Interference-Aware Schedulability Analysis and Task Allocation for Multicore Hard Real-Time Systems by José María Aceituno, Ana Guasque, Patricia Balbastre, José Simó, Alfons Crespo

“…There has been a trend towards using multicore platforms for real-time embedded systems due to their high computing performance. In the scheduling of a multicore hard real-time system, there are interference delays due to contention of shared hardware resources. …”
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A Novel Computational Method to Identify/Analyze Hysteresis Loops of Hard Magnetic Materials by Alessandro Giuseppe D’Aloia, Antonio Di Francesco, Valerio De Santis

“…This allowed us to obtain a simple differential formulation for the global magnetization equation with a significant improvement in terms of computational performance. A sensitivity analysis on the parameters of the proposed method has indeed shown the capability to model a large class of hysteresis loops. …”
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Photonic Physical Reservoir Computing with Tunable Relaxation Time Constant by Yutaro Yamazaki, Kentaro Kinoshita

“…The results show that the timescale of the transient current response of the device could be controlled over several orders of magnitude simply by applying a small voltage. The computational performance of the device as a physical reservoir is evaluated in an image classification task, demonstrating that the learning accuracy could be optimized by tuning the device to exhibit appropriate transient characteristics according to the timescale of the input signals. …”
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TomoSim: A Tomographic Simulator for Differential Optical Absorption Spectroscopy by Rui Valente de Almeida, Nuno Matela, Pedro Vieira

“…All algorithms were assessed on their computational performance and their ability for reconstructing spectral “images”, using two phantoms, one of which custom made for this purpose. …”
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Utilizing a machine learning algorithm to choose a significant traffic identification system by Rajesh Natarajan, Christodoss Prasanna Ranjith, M．Syed Khaja Mohideen, H.L. Gururaj, Francesco Flammini, N. Thangarasu

“…The tremendous advancements in computing, sensing, and cognitive-based revolution have made way for critical infrastructure needed to improve the internet for more extensive applications. However, the computation performed by devices and the ability to communicate is limited due to the use of numerous devices for storage. …”
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A Novel Task of Loading and Computing Resource Scheduling Strategy in Internet of Vehicles Based on Dynamic Greedy Algorithm by Huiyong Li, Shuhe Han, Xiaofeng Wu, Furong Wang

“…Firstly, based on the computing-aware network theory, a distributed computing resource model of the Internet of Vehicles is established, and the seven-dimensional QoS attributes of the computing resources in the Internet of Vehicles (reliability between computing resources, communication costs, computing speed and computing costs of the computing resources themselves , computing energy consumption, computing stability, and computing success rate) are grouped and transformed into two-dimensional comprehensive attribute priorities: computing performance priority and communication performance priority. …”
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Astrocyte GluN2C NMDA receptors control basal synaptic strengths of hippocampal CA1 pyramidal neurons in the stratum radiatum by Peter H Chipman, Chi Chung Alan Fung, Alejandra Pazo Fernandez, Abhilash Sawant, Angelo Tedoldi, Atsushi Kawai, Sunita Ghimire Gautam, Mizuki Kurosawa, Manabu Abe, Kenji Sakimura, Tomoki Fukai, Yukiko Goda

“…Our findings suggest a novel feedback signaling system that uses astrocyte GluN2C NMDARs to adjust basal synaptic weight distribution of Schaffer collateral inputs, which in turn impacts computations performed by the CA1 pyramidal neuron.…”
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Optimal transmission switching strategy for multi‐infeed DC receiving‐end power network to prevent over‐limit of short‐circuit current by Shaoyan Li, Youhao Zhang, Xueping Gu, Lei Yan

“…Finally, to enhance the computing performance for large power systems, a new connectivity constraint set and decision space reduction techniques are provided. …”
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A Static condensation Reduced Basis Element method: approximation and a posteriori error estimation by Knezevic, David, Patera, Anthony T., Huynh, Dinh Bao Phuong

“…We present numerical results for model many-parameter heat transfer and elasticity problems with particular emphasis on the Online stage; we discuss flexibility, accuracy, computational performance, and also the effectivity of the a posteriori error bounds.…”
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Certified reduced basis model validation: A frequentistic uncertainty framework by Patera, Anthony T., Huynh, Dinh Bao Phuong, Knezevic, David, Patera, Anthony T.

“…Our approach introduces two new elements: a spectral representation of the misfit which reduces the dimensionality and variance of the underlying multivariate Gaussian but without introduction of the usual regression assumptions; a certified (verified) reduced basis approximation — reduced order model — which greatly accelerates computational performance but without any loss of rigor relative to the full (finite element) discretization. …”
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Space-efficient optical computing with an integrated chip diffractive neural network by Zhu, Hanhan, Zou, Jun, Zhang, Hengyi, Shi, Yuzhi, Luo, Shibo, Wang, N., Cai, H., Wan, Liangxia, Wang, Bo, Jiang, Xudong, Thompson, Jayne, Luo, Xianshu, Zhou, Xuanhe, Xiao, Limin, Huang, W., Patrick, Lento, Gu, Mile, Kwek, Leong Chuan, Liu, Ai Qun

“…A ~10-fold reduction in both footprint and energy consumption, as well as equal high accuracy with previous MZI-based ONNs was experimentally achieved for computations performed on the MNIST and Fashion-MNIST datasets. …”
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A domain decomposition based surface integral equation simulator for characterizing EM wave propagation in mine environments by Sheng, Weitian, Yucel, Abdulkadir C., Liu, Yang, Guo, Han, Michielssen, Eric

“…When used in closed-loop uncertainty quantification or design settings, the simulator realizes additional computational savings by recycling many computations performed offline. Numerical results demonstrate the simulator's accuracy and applicability to mine tunnels and galleries with arbitrary cross-sections, rough walls, and debris from a partial cave-in.…”
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Human age estimation based on face images by Lim, Su Wee.

“…But the question is can the computer perform the same function like the group of people mentioned? …”
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