Výsledky vyhledávání - "Sadia Zaman Mishu"

A lightweight 3D-2D convolutional neural network for spectral-spatial classification of hyperspectral images

Autor: Md. Rakibul Haque, Sadia Zaman Mishu, Md. Palash Uddin, Md. Al Mamun

Publikováno v: Journal of Intelligent & Fuzzy Systems. 43:1241-1258

Hyperspectral Image (HSI) is usually composed of hundreds of capturing wavelength bands, which not only increase the size of the HSI rapidly but also impose various obstacles in classifying the objects accurately. Moreover, the traditional machine le

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f11027af01f3d7853cfbf6a6514eeb7c
https://doi.org/10.3233/jifs-212829

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Effective subspace detection based on the measurement of both the spectral and spatial information for hyperspectral image classification

Autor: Md. Palash Uddin, Sadia Zaman Mishu, Md. Ali Hossain, Boshir Ahmed

Publikováno v: International Journal of Remote Sensing. 41:7541-7564

Subspace detection from high dimensional hyperspectral image (HSI) data cube has become an important area of research for efficient identification of ground objects. Standard feature extraction met...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::edd5308099c143e728c75bc54775f24e
https://doi.org/10.1080/01431161.2020.1763502

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Folded-PCA Based Hybrid Dimension Reduction for Effective Classification of Hyperspectral Image

Autor: Sadia Zaman Mishu, Md. Al Mamun, Md. Ali Hossain

Publikováno v: 2021 24th International Conference on Computer and Information Technology (ICCIT).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::77c64f8d959856fc4ba4d2be9db8c9e3
https://doi.org/10.1109/iccit54785.2021.9689882

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Spectral and Spatial Feature Extraction Using Folded PCA and Convolutional Neural Network for Effective Hyperspectral Image Classification

Autor: Monoshi Kumar Roy, Sadia Zaman Mishu, Md. Al Mamun

Publikováno v: 2021 5th International Conference on Electrical Information and Communication Technology (EICT).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8184b8d9b94161defb6d72845439a9b9
https://doi.org/10.1109/eict54103.2021.9733696

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Performance Analysis of Different Neural Networks for Sentiment Analysis on IMDb Movie Reviews

Autor: Md. Rakibul Haque, Salma Akter Lima, Sadia Zaman Mishu

Publikováno v: 2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE).

With the huge expansion of text data sentiment analysis is playing a crucial role in analyzing the user’s perspective about a particular product, company or any other physical or virtual entity. Sentiment analysis helps us to analyze user review ab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b737f421da907ff4fc35a4c99bdd91b2
https://doi.org/10.1109/icecte48615.2019.9303573

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Spectral-Spatial Feature Extraction Using PCA and Multi-Scale Deep Convolutional Neural Network for Hyperspectral Image Classification

Autor: Md. Rakibul Haque, Sadia Zaman Mishu

Publikováno v: 2019 22nd International Conference on Computer and Information Technology (ICCIT).

Hyperspectral imaging (HSI) is one of the emerging research fields in remote sensing technology as it contains huge information about a scene which can be further analyzed to detect various kind of objects. HSI contains several narrow and contiguous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55affa745744808e7f8936a0efb3c13f
https://doi.org/10.1109/iccit48885.2019.9038385

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RFM Based Market Segmentation Approach Using Advanced K-means and Agglomerative Clustering: A Comparative Study

Autor: Sabbir Hossain Shihab, Sadia Zaman Mishu, Shyla Afroge

Publikováno v: 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE).

Customer segmentation based on RFM (Recency, Frequency & Monetary) variables is very popular nowadays to partition the customers pursuant to their characteristics and behaviour. Several clustering algorithms have been implemented to segment customers

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93db055e173a2066943b0a278ce8b3dc
https://doi.org/10.1109/ecace.2019.8679376

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Convolutional recurrent neural network for question answering

Autor: Sadia Zaman Mishu, M.M. Arefin Zaman

Publikováno v: 2017 3rd International Conference on Electrical Information and Communication Technology (EICT).

Question answering has become a very important task for natural language understanding as most natural language processing problems can be posed as a question answering problem. Recurrent neural network (RNN) is a standard baseline model for various

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc5dda6a5ccefc6199308ebecb2e074d
https://doi.org/10.1109/eict.2017.8275236

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Performance analysis of supervised machine learning algorithms for text classification

Autor: Sadia Zaman Mishu, S. M. Rafiuddin

Publikováno v: 2016 19th International Conference on Computer and Information Technology (ICCIT).

The demand of text classification is growing significantly in web searching, data mining, web ranking, recommendation systems and so many other fields of information and technology. This paper illustrates the text classification process on different

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e35147d21e9a39d0daa9c73d1eeec99d
https://doi.org/10.1109/iccitechn.2016.7860233

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