A Methodology for Estimating Vehicle Route Choice from Sparse Flow Measurements in a Traffic Network by Alex A. Kurzhanskiy

“…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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Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing by Jianbin Wu, Sami Ahmed Haider, Mukesh Soni, Ashima Kalra, Nabamita Deb

“…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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An open source knowledge graph ecosystem for the life sciences by Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner, Lawrence E. Hunter

“…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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Ontology-Based IoT Middleware Approach for Smart Livestock Farming toward Agriculture 4.0: A Case Study for Controlling Thermal Environment in a Pig Facility by Eleni Symeonaki, Konstantinos G. Arvanitis, Dimitrios Piromalis, Dimitrios Tseles, Athanasios T. Balafoutis

“…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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Siam Deep Feature KCF Method and Experimental Study for Pedestrian Tracking by Di Tang, Weijie Jin, Dawei Liu, Jingqi Che, Yin Yang

“…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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A matrix model for the latitude Wilson loop in ABJM theory by Marco S. Bianchi, Luca Griguolo, Andrea Mauri, Silvia Penati, Domenico Seminara

“…At weak coupling we check our proposal against a three-loop computation, performed for generic framing, winding number and representation. …”
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Text-Guided Sketch-to-Photo Image Synthesis by Uche Osahor, Nasser M. Nasrabadi

“…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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Ice-flow model emulator based on physics-informed deep learning by Guillaume Jouvet, Guillaume Cordonnier

“…Convolutional neural networks (CNN) trained from high-order ice-flow model realisations have proven to be outstanding emulators in terms of fidelity and computational performance. However, the dependence on an ensemble of realisations of an instructor model renders this strategy difficult to generalise to a variety of ice-flow regimes found in the nature. …”
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Using Finite Element and Eigenmode Expansion Methods to Investigate the Periodic and Spectral Characteristic of Superstructure Fiber Bragg Gratings by Yue-Jing He, Wei-Chih Hung, Zhe-Ping Lai

“…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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A generalized disjunctive programming model for multi-stage compression for natural gas liquefaction processes by Matovu Fahad, Mahadzir Shuhaimi, Rozali Nor Erniza Mohammad

“…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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Continuous Entity Authentication in the Internet of Things Scenario by Alfredo De Santis, Anna Lisa Ferrara, Manuela Flores, Barbara Masucci

“…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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Deep Learning Compiler Load Balancing Optimization Method for Model Training by WANG Li, GAO Kai, ZHAO Yaqian, LI Rengang, CAO Fang, GUO Zhenhua

“…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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Heuristic Optimization of Consumer Electricity Costs Using a Generic Cost Model by Chris Ogwumike, Michael Short, Fathi Abugchem

“…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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On the Relation between the Mind and the Brain: A Neuroscience Perspective by Edmund T. Rolls

“…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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An Optimized Hardware Implementation of a Non-Adjacent Form Algorithm Using Radix-4 Multiplier for Binary Edwards Curves by Asher Sajid, Omar S. Sonbul, Muhammad Rashid, Muhammad Arif, Amar Y. Jaffar

“…These outcomes underscore the efficacy of our optimizations, emphasizing an equilibrium between computational performance and area utilization.…”
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Probabilistic Classification Method of Spiking Neural Network Based on Multi-Labeling of Neurons by Mingyu Sung, Jaesoo Kim, Jae-Mo Kang

“…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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Assessing the Aircraft Crew Actions with the Aid of a Human Factor Risk Model by L.S. Kuravsky, G.A. Yuryev, V.I. Zlatomrezhev, N.E. Yuryeva

“…With sufficient computational performance, the flight data analysis under consideration can be implemented in real time automatic mode.…”
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Color Diffraction Computer for Incoherent Digital Holography by Takayuki Hara, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito

“…In this study, the computational performance of a proposed monochromatic diffraction circuit was improved. …”
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Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices by Tayfun Gokmen, Murat Onen, Wilfried Haensch

“…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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Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm by Xiong Luo, Zhijie He, Zhigang Zhao, Long Wang, Weiping Wang, Huansheng Ning, Jenq-Haur Wang, Wenbing Zhao, Jun Zhang

“…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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