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International Journal On Soft Computing ( Ijsc )
2018
Zenodo
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Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. ...
The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. ...
[14]S. ...
doi:10.5281/zenodo.1314208
fatcat:3r5t5ztsgnbvjdr4cmfcty646m
Applying Data Compression Techniques on Systolic Neural Network Accelerator
[article]
2016
arXiv
pre-print
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Although, These applications are creating large volumes of data which exceeds the capability of today's computing systems. ...
New directions in computing and algorithms has lead to some new applications that have tolerance to imprecision. ...
Neural Networks Neural network accelerators has been proposed in previous works [3] [11] [14] . ...
arXiv:1701.03734v1
fatcat:nc7alulx3bbtxczw62wfekumie
Multispectral classification of Landsat-images using neural networks
1992
IEEE Transactions on Geoscience and Remote Sensing
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A formal neural network model and its application to landsat TM image classification. ...
In
Proceedings of the 11.ICPR, volume II, pages 581-585. IEEE Computer Society, 1992.
[8] Horst Bischof and Axel Pinz. Neural networks in image pyramids. ...
doi:10.1109/36.142926
fatcat:oius7dd2sbh5lbgm77xltpkv3e
Fuzzy Framework for Preserving Privacy in Neural Networks Classification
2016
International Journal of Computer Applications
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Neural networks, as a classification technique has emerged as an important soft computing based approach in data mining. It is being used widely in healthcare for prediction and analysis. ...
Data mining is an automated process of excavating useful information that is previously unknown, from huge and enormous volumes of data. ...
Traditional tools and techniques fail to deliver due to huge volume of data and complexity of the applications. ...
doi:10.5120/ijca2016910290
fatcat:y6cvcorlhzdsxa6sxnzn743ake
A CLASSIFIED REVIEW ON THE COMBINATION FUZZY LOGIC–GENETIC ALGORITHMS BIBLIOGRAPHY: 1989–1995
[chapter]
1997
Advances in Fuzzy Systems — Applications and Theory
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Second IEEE Conference on Evolutionary Computation (EC-IEEE'95), volume 2, pages 759{764. Perth. 14. Nakaoka K., Furuhasi T., and Uchikawa Y. ...
(July 1993) Neural network and genetic algorithm techniques for fuzzy systems. In Proc. World Congress on Neural Networks (WCNN'93), volume 2, pages 631{634. 17. Takagi H. ...
doi:10.1142/9789814261296_0012
fatcat:emq37i6lfjbi3pnp72fzr5wss4
Discourse Analysis and Its Applications
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
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We also give an overview of linguistic structures and corresponding discourse analysis tasks that discourse researchers are generally interested in, as well as key applications on which these discourse ...
Discourse processing is a suite of Natural Language Processing (NLP) tasks to uncover linguistic structures from texts at several levels, which can support many downstream applications. ...
His work on NLP and information visualization to support decision making has been published in over 100 peer-reviewed papers (including best paper at UMAP-14 and ACM-TiiS-14). ...
doi:10.18653/v1/p19-4003
dblp:conf/acl/JotyCNM19
fatcat:cd4vg7ngq5et7cjkpr5nfcvquu
Computational and ambient intelligence
2009
Neurocomputing
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Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bioinspired systems. Neural prostheses. Retinomorphic systems. Nanosystems. Nanocognitive Systems. 6. Applications. ...
This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). ...
Silvia Tolu, Eduardo Rós, Rodrigo Agís ....................................................................... 813 Neuronal Architecture for reactive and adaptive navigation of a mobile robot Francisco ...
doi:10.1016/j.neucom.2009.04.020
fatcat:hrvdqdp7n5bprj2qhxxgl23ed4
Towards Semi-Automatic Reconstruction of Neural Circuits
2012
Neuroinformatics
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neural circuit function. ...
and difusion through the extracellular space. ...
Their work walks the extra mile and not only demonstrates the applicability of their approach for two widely different EM volumes, one from ssTEM of C. elegans and another from SBFSEM 10 of mouse brain ...
doi:10.1007/s12021-012-9166-x
pmid:23055046
fatcat:ypaj4fau7bb7vdsm3rug7c7tae
Low-cost volume estimation by two-view acquisitions: A computational intelligence approach
2012
The 2012 International Joint Conference on Neural Networks (IJCNN)
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volume independently of its position and angle, and without computing a full three-dimensional model. ...
Compared to the direct computation of the volume from the three-dimensional models, the approach is more accurate and also less dependent to the position and angle of the measured objects with respect ...
INTRODUCTION The estimation of the volume occupied by an object can be an important and non-trivial task in many applications. ...
doi:10.1109/ijcnn.2012.6252515
dblp:conf/ijcnn/LabatiGPS12
fatcat:x456gw5i3bgmvnckmwxs6c33ue
Rhythmic and sustained oscillations in metabolism and gene expression of Cyanothece sp. ATCC 51142 under constant light
2013
Frontiers in Microbiology
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ATCC
51142, BMC Bioinformatics, Volume 14, Supplement 2, 2013: Selected articles
from the Eleventh Asia Pacific Bioinformatics Conference (APBC 2013)
Bioinformatics, doi:10.1186/1471-2105-14-S2-S14 ...
International Conference on Neural Information Processing (ICONIP), NEURAL INFORMATION PROCESSING, Lecture Notes in Computer Science, 2011, Volume 7062/2011, 636-645, DOI: 10.1007/978-3-642-24955-6_75 ...
doi:10.3389/fmicb.2013.00374
pmid:24367360
pmcid:PMC3854555
fatcat:lvjvebne2ja4tasxsc3a7r5znm
A Long Short-Term Memory Neural Network for the Low-Cost Prediction of Soot Concentration in a Time-Dependent Flame
2021
Energies
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The neural network approach shows great potential to be applied in industrial applications because it can accurately estimate the soot characteristics without the need to solve the soot-related terms and ...
Numerical techniques with varying levels of accuracy and computational time have been developed to model soot formation in flames. ...
The errors for peak f v , the volume integral, and the RMSE are defined below in Equation (13, 14, 15) , respectively. ...
doi:10.3390/en14051394
fatcat:aqvkfpiyavaabad5ghlpi2mev4
A Hybrid Intelligent Model for Enhancing Healthcare Services on Cloud Environment
2018
International Journal of Advanced Computer Science and Applications
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This paper concentrates on the using of intelligent techniques such as Decision Tree, Clustering, Linear Regression, Modular Neural Network, and Back Propagation Neural Network to address this challenge ...
Two intelligent techniques were used: linear regression and neural network. Linear regression was used to define crucial factors that have an impact on chronic kidney disease. ...
Overview of Neural Network Neural network is used to implement many intelligent applications such as diseases diagnosis and data classification and etc. ...
doi:10.14569/ijacsa.2018.091105
fatcat:qntsneai2jbltoyp2tvgixu5di
Knowledge Discovery from Web Usage Data: Extraction of Sequential Patterns through ART1 Neural Network Based Clustering Algorithm
2007
International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007)
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Veeresh Kumar.G.B, C.S.P.Rao, Selvaraj.N, Bhagyashekar.M.S., "Prediction of Wear of Al6061-SiC Metal Matrix Composites using Artificial Neural Networks", International Journal of Computer Applications ...
in Engineering, Technology and Sciences (IJ-CA-ETS) Volume 2, Issue 1, pp. 498-505, October 2009 -March 2010. 9. ...
doi:10.1109/iccima.2007.289
fatcat:m564kb45mvg4nk3hkhoh7tkbxm
Prediction Stock Market in Iraq using Back-Propagation Neural Networks
2019
Zenodo
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Counterfeit neural systems in applied science and associated fields are process models stirred by the focal sensory systems of creatures (explicitly the cerebrum) equipped for AI and example acknowledgment ...
The general target of the {information} mining technique is to remove data from a lot of data and to change it into an unmistakable structure for further use. ...
CK Jha,
Sandeep K Budhani (April 2012),
"Application Of Neural Network In
Analysis Of Stock Market Prediction",
International Journal Of Computer
science And Engineering Technology,
Volume 3, Issue ...
doi:10.5281/zenodo.3571881
fatcat:3mlzrjr5ubgnlbdtkgvrmneov4
Special Issue on Intelligent data analysis and applications & smart vehicular technology, communications and applications
2020
Journal of Intelligent & Fuzzy Systems
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These techniques 11 include fuzzy systems, fuzzy control, neural net-12 works, evolutionary computing, adaptive learning 13 algorithms and hybrids of these techniques. ...
Soft com-14 puting methodologies are applied to a wide range 15 of applications related to optimization, information 16 processing, decision making and intelligent data anal-17 ysis. 18 In this special ...
These techniques 11 include fuzzy systems, fuzzy control, neural net-12 works, evolutionary computing, adaptive learning 13 algorithms and hybrids of these techniques. ...
doi:10.3233/jifs-179812
fatcat:esnocduny5btrgw6idiiel5haq
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