Results 21 to 30 of about 10,492 (229)
Exploring Adaptive Cache for Reconfigurable VLIW Processor
IEEE Access, 2019 In this paper, we focus on a very long instruction word (VLIW) processor design that “shares” its cache blocks when switching to different performance modes to alleviate the aforementioned cold starts.
Sensen Hu, Jing Haung
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Adaptive resizing-based multi-resolution particle method
Mechanical Engineering Journal, 2021 Multi-resolution techniques are essential for the performance of large-scale simulations of computational fluid dynamics with particle methods. In this study, a novel adaptive multi-resolution scheme has been developed for the least squares moving ...
Axel SÖDERSTEN +4 more
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Multi-Scale CNN for Fine-Grained Image Recognition
IEEE Access, 2020 Most conventional fine-grained image recognitions are based on a two-stream model of object-level and part-level CNNs, where the part-level CNN is responsible for learning the object-parts and their spatial relationships.
Chee Sun Won
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An improved search space resizing method for model identification by standard genetic algorithm
Systems Science & Control Engineering, 2017 In this paper, a new improved search space boundary resizing method for an optimal model's parameter identification for continuous real time transfer function by standard genetic algorithms (SGAs) is proposed and demonstrated.
Kumaran Rajarathinam +3 more
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Compressed domain image resizing based on saliency histogram equalisation and seam carving
The Journal of Engineering, 2020 With the increasing popularity of mobile devices and internet services, resizing of compressed images is in high demand. In this study, a compressed domain content-aware image resizing (CAIR) system is proposed.
Hsi-Chin Hsin
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Spanish Journal of Agricultural Research, 2021 Aim of study: To evaluate the influence of the parameters of the geostatistical model and the initial sample configuration used in the optimization process; and to propose and evaluate the resizing of a sample configuration, reducing its sample size ...
Tamara C. Maltauro +3 more
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, 2022 Existing quantum systems provide very limited physical qubit counts, trying to execute a quantum algorithm/circuit on them that have a higher number of logical qubits than physically available lead to a compile-time error. Given that it is unrealistic to expect existing quantum systems to provide, in near future, sufficient number of qubits that can ...
Sadeghi, Movahhed +2 more
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ViSizer: A Visualization Resizing Framework [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2013 Visualization resizing is useful for many applications where users may use different display devices. General resizing techniques (e.g., uniform scaling) and image-resizing techniques suffer from several drawbacks, as they do not consider the content of the visualizations.
Yingcai, Wu +3 more
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WRITER IDENTIFICATION: THE EFFECT OF IMAGE RESIZING ON CNN PERFORMANCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Introducing Deep Learning has been successful in improving the performance of automated writer identification systems. However, using very large patch sizes as input to CNN consumes a lot of machine resources and requires a lot of training time.
A. Semma +4 more
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IMPROVING THE DESIGNING OF MECHANICAL TECHNOLOGIES THROUGH OPTIMIZED DIMENSIONAL STRUCTURES
Journal of Engineering Science (Chişinău), 2023 Modern trends in technological development related to the use of numerical control machine tools are manifested by minimizing the number of technological operations, installations, operation elements.
STRONCEA, Aurel
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