A Review of Recent Advances and Application for Spiking Neural Networks by Liu Hao, Chai Hongfeng

“…Particularly, SNN has shown strong potentials in tasks such as object detection, action recognition, semantic cognition, and speech recognition, significantly improving computational performance. Future research and application of SNN should focus on strengthening the research on key core technologies, promoting the application of technological achievements, and continuously optimizing the industrial ecology, thus to catch up with the advanced international level. …”
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A 7-nm-Based 5R4W High-Timing Reliability Regfile Circuit by Wanlong Zhao, Yuejun Zhang, Liang Wen, Pengjun Wang

“…Register file (Regfile), as the bottleneck circuit for processor data interaction, directly determines the computing performance of the system. To address the read/write conflict and timing error problems of register heap, this paper proposes a 5R4W high-timing reliability Regfile circuit design scheme. …”
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Technical Performance of an Inflatable Solar Dryer for Drying Amaranth Leaves in Kenya by Sebastian Romuli, Steffen Schock, Marcus Nagle, Christine G. Kiria Chege, Joachim Müller

“…To handle the drying of lightweight materials, modification was made by adding an air deflector and trays inside the ISD. Computational performance of the ISD solar energy system was evaluated using MATLAB Simulink. …”
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Efficient and Scalable Architecture for Multiple-Chip Implementation of Simulated Bifurcation Machines by Tomoya Kashimata, Masaya Yamasaki, Ryo Hidaka, Kosuke Tatsumura

“…However, the computational performance of a previously proposed multi-chip architecture tends to saturate as the number of chips increases for a given problem size because computation and communication are exclusive in the time domain. …”
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A Comparative Performance Analysis of Malware Detection Algorithms Based on Various Texture Features and Classifiers by Ismail Taha Ahmed, Baraa Tareq Hammad, Norziana Jamil

“…Additionally, higher computing performance is achieved by using fewer dimensions when employing our feature extraction method.…”
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Numerical investigation of turbulent lid-driven flow using weakly compressible smoothed particle hydrodynamics CFD code with standard and dynamic LES models by Tae Soo Choi, Eung Soo Kim

“…Despite the recent implementation of eddy-viscosity models in SPH methodology, sophisticated turbulent analysis using Lagrangian methodology has been limited due to the lack of computational performance and numerical consistency. In this study, we implement the standard and dynamic Smagorinsky model and dynamic Vreman model as sub-particle scale models based on a weakly compressible SPH solver. …”
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En-Route Charging Strategy for Wirelessly Charged Electric Bus Considering Time-of-Use Price by Weiliang Zeng, Panlong Liu, Chao Yang, Weijun Sun, Yonghui Huang, Yu Han

“…Finally, the computational performance of the proposed algorithm (GWO) is validated by comparing other outstanding methods such as genetic algorithm (GA), particle swarm optimization (PSO) and CPLEX solvers.…”
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Implementation of a Perception Module for Smart Mobility Applications in Eclipse MOSAIC by Robert Protzmann, Karl Schrab, Moritz Schweppenhäuser, Ilja Radusch

“…We furthermore evaluate the computational performance of the indexing techniques as well as the integration with the traffic simulator SUMO using TraCI and libsumo. …”
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Class Thresholds Pre-Definition by Clustering Techniques for Applications of ELECTRE TRI Method by Flavio Trojan, Pablo Isaias Rojas Fernandez, Marcio Guerreiro, Lucas Biuk, Mohamed A. Mohamed, Pierluigi Siano, Roberto F. Dias Filho, Manoel H. N. Marinho, Hugo Valadares Siqueira

“…In this proposed methodology, K-Means, K-Medoids, Fuzzy C-Means algorithms, and Bio-Inspired metaheuristics such as PSO, Differential Evolution, and Genetic algorithm for clustering are tested considering a dataset from a fundamental problem of sorting in Water Distribution Networks. The computational performances indicate that Fuzzy C-Means was more suitable for achieving the desired response. …”
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Optimization of 5G/6G Telecommunication Infrastructure through an NFV-Based Element Management System by Arunkumar Arulappan, Gunasekaran Raja, Kalpdrum Passi, Aniket Mahanti

“…The performance is measured based on computations performed on various optimization algorithms such as linear programming and tabu search algorithms. …”
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Cloud Computing Based on Computational Characteristics for Disaster Monitoring by Quan Zou, Guoqing Li, Wenyang Yu

“…The rapid development of cloud computing has led to an increase in the computational performance of data-intensive computing, providing powerful throughput by distributing computation across many distributed computers. …”
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A Portable Fuzzy Driver Drowsiness Estimation System by Alimed Celecia, Karla Figueiredo, Marley Vellasco, René González

“…The system provides three degrees of drowsiness (Low-Normal State, Medium-Drowsy State, and High-Severe Drowsiness State), and was assessed in terms of its computational performance and efficiency, resulting in a significant accuracy of 95.5% in state recognition that demonstrates the feasibility of the approach.…”
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Novel In-Memory Computing Adder Using 8⁺T SRAM by Soonbum Song, Youngmin Kim

“…In-memory computing (IMC), on the other hand, reduces energy consumption and improves computing performance. This study explains an 8⁺T SRAM IMC circuit based on 8⁺T differential SRAM (8⁺T SRAM) and proposes 8+T SRAM-based IMC full adder (FA) and 8⁺T SRAM-based IMC approximate adder, which are based on the 8⁺T SRAM IMC circuit. …”
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Railway traffic monitoring with trackside fiber-optic cable by distributed acoustic sensing Technology by Gongbo Zhang, Gongbo Zhang, Zhenghong Song, Zhenghong Song, Abayomi Gaius Osotuyi, Rongbing Lin, Rongbing Lin, Benxin Chi

“…By reducing the array aperture and moving subarrays, the train speed-curve/motion track is obtained with acceptable computational performance. Therefore, the efficiency and robustness of our approach, to continuously collect data, can play a supplementary role with conventional periodic and time-discrete monitoring systems, for instance, magnetic beacons, in railway traffic monitoring. …”
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A Data-driven Variable Reduction Approach for Transmission-constrained Unit Commitment of Large-scale Systems by Yuzhou Zhou, Qiaozhu Zhai, Lei Wu, Moammad Shahidehpour

“…The proposed data-driven variable reduction approach consists of offline and online calculations to accelerate computational performance of the MILP-based large-scale TCUC problems. …”
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Energy forecasting in smart grid systems: recent advancements in probabilistic deep learning by Devinder Kaur, Shama Naz Islam, Md Apel Mahmud, Md Enamul Haque, Zhao Yang Dong

“…However, the execution time increases significantly for PDL methods due to large sample space and a tradeoff between computational performance and forecasting accuracy needs to be maintained.…”
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Benchmarking Regridding Libraries Used in Earth System Modelling by Sophie Valcke, Andrea Piacentini, Gabriel Jonville

“…The evaluation of the computing performance of those libraries is not included in the current work but is planned to be performed in the coming months. …”
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A Combination of Lie Group Machine Learning and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion by Chengjun Xu, Guobin Zhu, Jingqian Shu

“…Finally, feature-level fusion is adopted to reduce redundant features and improve computational performance, and cross-entropy loss function based on label smoothing is used to improve the classification accuracy of the model. …”
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Approximating multi-purpose AC Optimal Power Flow with reinforcement trained Artificial Neural Network by Zhenqi Wang, Jan-Hendrik Menke, Florian Schäfer, Martin Braun, Alexander Scheidler

“…Artificial neural networks (ANN) have a good application in function approximation with outstanding computational performance. In this paper, we employ ANN to approximate the solution of AC-OPF for multiple purposes. …”
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Cluster-Based Analogue Ensembles for Hindcasting with Multistations by Carlos Balsa, Carlos Veiga Rodrigues, Leonardo Araújo, José Rufino

“…The results show that adequate monitoring and tuning of the new method allows for a considerable improvement of the computational performance of the reconstruction task while keeping the accuracy of the results. …”
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