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501
A Review of Recent Advances and Application for Spiking Neural Networks
Published 2023-12-01“…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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502
A 7-nm-Based 5R4W High-Timing Reliability Regfile Circuit
Published 2023-01-01“…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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503
Technical Performance of an Inflatable Solar Dryer for Drying Amaranth Leaves in Kenya
Published 2019-08-01“…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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504
Efficient and Scalable Architecture for Multiple-Chip Implementation of Simulated Bifurcation Machines
Published 2024-01-01“…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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505
A Comparative Performance Analysis of Malware Detection Algorithms Based on Various Texture Features and Classifiers
Published 2024-01-01“…Additionally, higher computing performance is achieved by using fewer dimensions when employing our feature extraction method.…”
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506
Numerical investigation of turbulent lid-driven flow using weakly compressible smoothed particle hydrodynamics CFD code with standard and dynamic LES models
Published 2023-09-01“…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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507
En-Route Charging Strategy for Wirelessly Charged Electric Bus Considering Time-of-Use Price
Published 2022-01-01“…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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508
Implementation of a Perception Module for Smart Mobility Applications in Eclipse MOSAIC
Published 2022-09-01“…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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509
Class Thresholds Pre-Definition by Clustering Techniques for Applications of ELECTRE TRI Method
Published 2023-02-01“…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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510
Optimization of 5G/6G Telecommunication Infrastructure through an NFV-Based Element Management System
Published 2022-05-01“…The performance is measured based on computations performed on various optimization algorithms such as linear programming and tabu search algorithms. …”
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511
Cloud Computing Based on Computational Characteristics for Disaster Monitoring
Published 2020-09-01“…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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512
A Portable Fuzzy Driver Drowsiness Estimation System
Published 2020-07-01“…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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513
Novel In-Memory Computing Adder Using 8<sup>+</sup>T SRAM
Published 2022-03-01“…In-memory computing (IMC), on the other hand, reduces energy consumption and improves computing performance. This study explains an 8<sup>+</sup>T SRAM IMC circuit based on 8<sup>+</sup>T differential SRAM (8<sup>+</sup>T SRAM) and proposes 8+T SRAM-based IMC full adder (FA) and 8<sup>+</sup>T SRAM-based IMC approximate adder, which are based on the 8<sup>+</sup>T SRAM IMC circuit. …”
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514
Railway traffic monitoring with trackside fiber-optic cable by distributed acoustic sensing Technology
Published 2022-09-01“…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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515
A Data-driven Variable Reduction Approach for Transmission-constrained Unit Commitment of Large-scale Systems
Published 2023-01-01“…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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516
Energy forecasting in smart grid systems: recent advancements in probabilistic deep learning
Published 2022-11-01“…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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517
Benchmarking Regridding Libraries Used in Earth System Modelling
Published 2022-04-01“…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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518
A Combination of Lie Group Machine Learning and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion
Published 2022-03-01“…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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519
Approximating multi-purpose AC Optimal Power Flow with reinforcement trained Artificial Neural Network
Published 2022-01-01“…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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520
Cluster-Based Analogue Ensembles for Hindcasting with Multistations
Published 2022-06-01“…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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