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441
A Methodology for Estimating Vehicle Route Choice from Sparse Flow Measurements in a Traffic Network
Published 2022-02-01“…We also show how vehicle flows can be estimated at links with no detection, which enables computing performance measures for road networks lacking complete sensor coverage. …”
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442
Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing
Published 2022-10-01“…Most related research focuses on exploiting edge server computing performance to reduce mobile device energy consumption and task execution time during task processing. …”
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443
An open source knowledge graph ecosystem for the life sciences
Published 2024-04-01“…We evaluated the ecosystem by systematically comparing it to existing open-source KG construction methods and by analyzing its computational performance when used to construct 12 different large-scale KGs. …”
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444
Ontology-Based IoT Middleware Approach for Smart Livestock Farming toward Agriculture 4.0: A Case Study for Controlling Thermal Environment in a Pig Facility
Published 2022-03-01“…As derived from the obtained evaluation results, the system appears to perform quite satisfactorily in terms of computational performance as well as ontology coherence, consistency, and efficiency.…”
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445
Siam Deep Feature KCF Method and Experimental Study for Pedestrian Tracking
Published 2023-01-01“…Due to the limited computing performances of unmanned aerial vehicle (UAV) systems, the Correlation Filter (CF) algorithm has been widely used to perform the task of tracking. …”
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446
A matrix model for the latitude Wilson loop in ABJM theory
Published 2018-08-01“…At weak coupling we check our proposal against a three-loop computation, performed for generic framing, winding number and representation. …”
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447
Text-Guided Sketch-to-Photo Image Synthesis
Published 2022-01-01“…Furthermore to maximise the computational performance of our model, we implemented a linear-based attention scheme along the pipeline of our model to eliminate the drawbacks of inefficient attention modules that are quadratic in complexity. …”
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448
Ice-flow model emulator based on physics-informed deep learning
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449
Using Finite Element and Eigenmode Expansion Methods to Investigate the Periodic and Spectral Characteristic of Superstructure Fiber Bragg Gratings
Published 2016-02-01“…To effectively improve the accuracy of overall computational performance and numerical calculations and to shorten the gap between simulation results and actual production, this study integrated a perfectly matched layer (PML), perfectly reflecting boundary (PRB), object meshing method (OMM), and boundary meshing method (BMM) into the finite element method (FEM) and eigenmode expansion method (EEM). …”
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450
A generalized disjunctive programming model for multi-stage compression for natural gas liquefaction processes
Published 2023-01-01“…The model is handled by employing the logic-based branch and bound algorithm, eliminating the need for explicit conversion into a MINLP, which in turn leads to improved convergence and faster computational performance. The model solution yields optimal pressure levels, and hence stage shaft work consumptions. …”
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451
Continuous Entity Authentication in the Internet of Things Scenario
Published 2023-05-01“…Inspired by this last construction, we propose an OM-UEA scheme based on the hardness of the discrete logarithm problem, which further improves the computational performance for the prover. Our findings offer feasible options for implementing secure continuous entity authentication in IoT applications.…”
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452
Deep Learning Compiler Load Balancing Optimization Method for Model Training
Published 2024-01-01“…For computing-intensive artificial intelligence (AI) training tasks, the computational graph is more complex, and data loading, task division of the computational graph, and load balancing of task scheduling have become the key factors affecting the computing performance. This paper proposes three optimization methods to make the task scheduling of model training in deep learning compilers reach the load balance state. …”
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453
Heuristic Optimization of Consumer Electricity Costs Using a Generic Cost Model
Published 2015-12-01“…The type of scheduling problem encountered by a consumer IDSS is typically NP-hard, which warrants the search for good heuristics with efficient computational performance and ease of implementation. This paper presents an extensive evaluation of a heuristic scheduling algorithm for use in a consumer IDSS. …”
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454
On the Relation between the Mind and the Brain: A Neuroscience Perspective
Published 2013-05-01“…In this paper I show that computational neuroscience provides an important new approach to traditional problems in philosophy such as the relation between mental states and brain states (the mind-body or mind-brain problem), to determinism and free will, and helps one with the ‘hard’ problem, the phenomenal aspects of consciousness.One of the themes of the paper and of my book Neuroculture: on the Implications of Brain Science ([Rolls 2012c]) is that by understanding the computations performed by neurons and neuronal networks, and the effects of noise in the brain on these, we will gain a true understanding of the mechanisms that underlie brain function. …”
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455
An Optimized Hardware Implementation of a Non-Adjacent Form Algorithm Using Radix-4 Multiplier for Binary Edwards Curves
Published 2023-12-01“…These outcomes underscore the efficacy of our optimizations, emphasizing an equilibrium between computational performance and area utilization.…”
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456
Probabilistic Classification Method of Spiking Neural Network Based on Multi-Labeling of Neurons
Published 2023-03-01“…The inferring circuit is expected to show a significant reduction in hardware cost and can afford an algorithm exhibiting a competitive computing performance.…”
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457
Assessing the Aircraft Crew Actions with the Aid of a Human Factor Risk Model
Published 2020-01-01“…With sufficient computational performance, the flight data analysis under consideration can be implemented in real time automatic mode.…”
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458
Color Diffraction Computer for Incoherent Digital Holography
Published 2024-01-01“…In this study, the computational performance of a proposed monochromatic diffraction circuit was improved. …”
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459
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
Published 2017-10-01“…We find that the noise and bound limitations imposed by the analog nature of the computations performed on the arrays significantly affect the training accuracy of the CNNs. …”
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460
Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm
Published 2018-10-01“…Because of the algorithm-specific parameter-free feature in the proposed PA-Jaya algorithm, a satisfactory computational performance could be achieved in the handling of this problem. …”
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