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  • Search: subject:"features extraction"
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Year of publication
Subject
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Classification 2 Neural networks 2 Neuronale Netze 2 classification 2 features extraction 2 AHRS 1 Arab countries 1 Arabic handwriting recognition system 1 Arabic language 1 Arabische Staaten 1 Artificial intelligence 1 Decision Tree 1 Features Extraction 1 Features extraction 1 Fibrosis 1 Image Processing 1 Klassifikation 1 Künstliche Intelligenz 1 LSTM-RNN 1 Language 1 NLP 1 Nearest Neighbor Classifier 1 Neural Network 1 Schistosomiasis 1 Sprache 1 Theorie 1 Theory 1 class labels 1 diffusion approach 1 handwriting recognition 1 hybrid model 1 hyper spectral imaging 1 long short term memory recurrent neural network 1 natural language processing 1 neural networks 1 off line handwriting 1 post-processing 1 pre-processing 1 segmentation 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 3 Undetermined 1
Author
All
Abou Rayia, Dina M. 1 Aljawarneh, Shadi 1 Alotaibi, Manar B. 1 Ashour, Amira S. 1 Ashour, Dalia S. 1 Dey, Nilanjan 1 Gouaillard, A. 1 Hawas, Ahmed Refaat 1 Irshad, H. 1 Maraoui, Mohsen 1 Meddeb, Ons 1 Prabu, Sevugan 1 Racoceanu, D. 1 Roux, L. 1 Venkatesan, R. 1
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Institution
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Institute for Quantitative Social Science, Harvard University 1
Published in...
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International Journal of Natural Computing Research (IJNCR) 1 International journal of intelligent enterprise 1 International journal of intelligent enterprise : IJIE 1 Working Paper / Institute for Quantitative Social Science, Harvard University 1
Source
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ECONIS (ZBW) 2 RePEc 1 Other ZBW resources 1
Showing 1 - 4 of 4
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Profound feature extraction and classification of hyperspectral images using deep learning
Venkatesan, R.; Prabu, Sevugan - In: International journal of intelligent enterprise 9 (2022) 3, pp. 318-331
Persistent link: https://www.econbiz.de/10014320107
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Schistosomal Hepatic Fibrosis Classification
Ashour, Amira S.; Dey, Nilanjan; Ashour, Dalia S.; Abou … - In: International Journal of Natural Computing Research (IJNCR) 7 (2018) 2, pp. 1-17
granuloma were classified after features extraction. Statistical features extraction was used to extract the significant …
Persistent link: https://www.econbiz.de/10012046728
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Hybrid modelling of an off line Arabic handwriting recognition system : results and evaluation
Meddeb, Ons; Maraoui, Mohsen; Aljawarneh, Shadi - In: International journal of intelligent enterprise : IJIE 4 (2017) 1/2, pp. 168-189
Persistent link: https://www.econbiz.de/10011858961
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Cover Image
Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology
Irshad, H.; Gouaillard, A.; Roux, L.; Racoceanu, D. - Institute for Quantitative Social Science, Harvard …
Breast cancer is the second most frequent cancer. The reference process for breast cancer prognosis is Nottingham grading system. According to this system, mitosis detection is one of the three important criteria required for grading process and quantifying the locality and prognosis of a tumor....
Persistent link: https://www.econbiz.de/10011098200
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