Results 21 to 30 of about 20,311 (188)
Applications and Evaluations of
IEEE Access, 2020 Cloud computing gained much popularity in the recent past due to its many internet-based services related to data, application, operating system, and eliminating the need for central hardware access. Many of the challenges associated with cloud computing
Md Manjurul Ahsan +5 more
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Evolutionary Computation Paradigm to Determine Deep Neural Networks Architectures
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2022 Image classification is usually done using deep learning algorithms. Deep learning architectures are set deterministically. The aim of this paper is to propose an evolutionary computation paradigm that optimises a deep learning neural network’s architecture.
Renato Constantin Ivanescu +4 more
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Soft computing techniques for the assessment of energy content from waste: A mini review [PDF]
E3S Web of ConferencesThe growing global demand for energy, coupled with the pressing challenges of waste management and environmental sustainability has intensified interest in waste-to-energy (WTE) technology.
Adeleke Oluwatobi, Jen Tien-Chien
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Evolutionary optimization of neural networks with heterogeneous computation: study and implementation [PDF]
The Journal of Supercomputing, 2015 The translation of this paper was funded by the Universitat Politecnica de Valencia, Spain.
Jorge D. Fe +2 more
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Resources, 2019 Previous studies have shown that soft computing models are excellent predictive models for demand management problems. However, their applications in solving water demand forecasting problems have been scantily reported.
Oluwaseun Oyebode +1 more
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Distributed computing methodology for training neural networks in an image-guided diagnostic application [PDF]
, 2006 Distributed computing is a process through which a set of computers connected by a network is used collectively to solve a single problem. In this paper, we propose a distributed computing methodology for training neural networks for the detection of ...
Plagianakos, V.P. +2 more
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Intelligent computing in inverse problems
Computer Assisted Methods in Engineering and Science, 2022 This paper presents a review of intelligent computing techniques in solving inverse mechanics problems. These techniques are based on Evolutionary Algorithms (EAs) and the coupling of Evolutionary Algorithms (EAs) and Artificial Neural Networks (ANNs ...
Tadeusz Burczyński +4 more
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Determining Optimal Architecture of CNN using Genetic Algorithm for Vehicle Classification System
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Convolutional neural network is a machine learning that provides a good accura-cy for many problems in the field of computer vision, such as segmentation, de-tection, recognition, as well as classification systems. However, the results and performance of
Wahyono Wahyono, Joko Hariyono
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Complex & Intelligent Systems, 2022 In recent years, neural architecture search (NAS) has achieved unprecedented development because of its ability to automatically achieve high-performance neural networks in various tasks.
Jianjun Chu +4 more
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Remote Sensing, 2023 Neural network models for hyperspectral images classification are complex and therefore difficult to deploy directly onto mobile platforms. Neural network model compression methods can effectively optimize the storage space and inference time of the ...
Yu Lei +5 more
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