Found: 21
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Big data analytics for video surveillance.
- Published in:
- Multimedia Tools & Applications, 2019, v. 78, n. 18, p. 26129, doi. 10.1007/s11042-019-07793-w
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- Article
Moving object detection using spatio-temporal multilayer compound Markov Random Field and histogram thresholding based change detection.
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- Multimedia Tools & Applications, 2017, v. 76, n. 11, p. 13511, doi. 10.1007/s11042-016-3698-2
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- Article
MIPCE: An MI-based protein complex extraction technique.
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- Journal of Biosciences, 2015, v. 40, n. 4, p. 701, doi. 10.1007/s12038-015-9553-1
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- Article
FUMET: A fuzzy network module extraction technique for gene expression data.
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- Journal of Biosciences, 2014, v. 39, n. 3, p. 351, doi. 10.1007/s12038-014-9423-2
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- Article
Multi-Objective Genetic Algorithms for Fuzzy Classification Rule Mining: A Survey.
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- IUP Journal of Information Technology, 2011, v. 7, n. 1, p. 7
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- Article
Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour.
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- International Journal of Computer Vision, 2017, v. 122, n. 1, p. 116, doi. 10.1007/s11263-016-0959-5
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- Article
Efficient silhouette-based contour tracking using local information.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2016, v. 20, n. 2, p. 785, doi. 10.1007/s00500-014-1543-y
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- Article
Application of Gibbs-Markov random field and Hopfield-type neural networks for detecting moving objects from video sequences captured by static camera.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2015, v. 19, n. 10, p. 2769, doi. 10.1007/s00500-014-1440-4
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- Article
Strategies for improving nitrogen use efficiency: A review.
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- Agricultural Reviews, 2017, v. 38, n. 1, p. 29, doi. 10.18805/ag.v0iOF.7306
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- Article
Non‐parametric modified histogram equalisation for contrast enhancement.
- Published in:
- IET Image Processing (Wiley-Blackwell), 2013, v. 7, n. 7, p. 641, doi. 10.1049/iet-ipr.2012.0507
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- Article
NEURO-WAVELET CLASSIFIER FOR MULTISPECTRAL REMOTE SENSING IMAGES.
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- International Journal of Wavelets, Multiresolution & Information Processing, 2007, v. 5, n. 4, p. 589, doi. 10.1142/S0219691307001914
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- Article
Change detection for moving object segmentation with robust background construction under Wronskian framework.
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- Machine Vision & Applications, 2013, v. 24, n. 4, p. 795, doi. 10.1007/s00138-012-0475-8
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- Article
RESULTS OF GRAVITY SURVEY OVER RANIGANJ COALFIELD, INDIA.
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- Geophysical Prospecting, 1976, v. 24, n. 1, p. 19, doi. 10.1111/j.1365-2478.1976.tb00382.x
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- Article
Insights from the Five-day National Training Programme on "Earth Observation Data Analytics for Disaster Management Focusing on Flood and Drought".
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- Journal of the Geological Society of India, 2023, v. 99, n. 12, p. 1787, doi. 10.1007/s12594-023-2539-y
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- Article
A Survey on Fuzzy Association Rule Mining.
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- International Journal of Data Warehousing & Mining, 2013, v. 9, n. 1, p. 1, doi. 10.4018/jdwm.2013010101
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- Article
Coseismic and postseismic creep in the Andaman Islands associated with the 2004 Sumatra-Andaman earthquake.
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- Geophysical Research Letters, 2007, v. 34, n. 1, p. n/a, doi. 10.1029/2006GL028200
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- Article
Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-31737-y
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- Article
Revisiting evolutionary algorithms in feature selection and nonfuzzy/fuzzy rule based classification.
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- WIREs: Data Mining & Knowledge Discovery, 2013, v. 3, n. 2, p. 83, doi. 10.1002/widm.1087
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- Article
Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification.
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- International Journal of Fuzzy Systems, 2018, v. 20, n. 6, p. 1938, doi. 10.1007/s40815-018-0478-3
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- Article
Designing Hopfield Type Networks Using Genetic Algorithms and Its Comparison with Simulated Annealing.
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- International Journal of Pattern Recognition & Artificial Intelligence, 1997, v. 11, n. 3, p. 447, doi. 10.1142/S0218001497000202
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- Article
OBJECT BACKGROUND CLASSIFICATION USING HOPFIELD TYPE NEURAL NETWORK.
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- International Journal of Pattern Recognition & Artificial Intelligence, 1992, v. 6, n. 5, p. 989, doi. 10.1142/S0218001492000485
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- Article