Hyperspectral image classification: Potentials, challenges, and future directions

D Datta, PK Mallick, AK Bhoi, MF Ijaz… - Computational …, 2022 - Wiley Online Library
Recent imaging science and technology discoveries have considered hyperspectral
imagery and remote sensing. The current intelligent technologies, such as support vector …

Tree-shaped multiobjective evolutionary CNN for hyperspectral image classification

M Zhang, L Liu, Y **, Z Lei, Z Wang, L Jiao - Applied Soft Computing, 2024 - Elsevier
Convolutional neural networks (CNNs) have achieved significant performances in
hyperspectral image (HSI) classification in recent years. However, designing a high …

[PDF][PDF] Two-step providing of desired quality in lossy image compression by SPIHT

F Li, S Krivenko, V Lukin - 2020 - dspace.library.khai.edu
УДК: 621 Page 1 ISSN 1814-4225 (print) РАДІОЕЛЕКТРОННІ І КОМП’ЮТЕРНІ СИСТЕМИ,
2020, № 2(94) ISSN 2663-2012 (online) 22 UDC 528.852.1:004.932 doi: 10.32620/reks.2020.2.02 …

A convolutional neural network model for early-stage detection of autism spectrum disorder

MF Rabbi, SMM Hasan, AI Champa… - … on information and …, 2021 - ieeexplore.ieee.org
Autism is a developmental handicap of children that gets worse as they age. An autistic child
has problems with interaction and communication, as well as limited behavior. If autistic …

Prediction of liver disorders using machine learning algorithms: a comparative study

MF Rabbi, SMM Hasan, AI Champa… - 2020 2nd …, 2020 - ieeexplore.ieee.org
Liver, a crucial interior organ of the human body whose principal tasks are to eliminate
generated waste produced by our organism, digest food, and preserve vitamins and energy …

Principal component analysis in image classification: A review

S Aslam, TF Rabie - 2023 Advances in Science and …, 2023 - ieeexplore.ieee.org
Principal component analysis (PCA) is considered as an important technique for dimension
reduction of the data in various artificial intelligence/machine learning applications. One of …

Tree-based classifier for hyperspectral image classification via hybrid technique of feature reduction

AI Champa, MF Rabbi, SMM Hasan… - … on Information and …, 2021 - ieeexplore.ieee.org
Remote sensing by hyperspectral imaging (HSI) has proved to be an emerging technology
for researchers with broad appeal in legionary branches. Imaging spectroscopy, another …

An effective diabetes prediction system using machine learning techniques

SMM Hasan, MF Rabbi, AI Champa… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Diabetes, a universal chronic disease, arises due to the lack of responsiveness to insulin. As
the permanent cure for diabetes is not possible, so early detection and taking necessary …

A machine learning-based model for early stage detection of diabetes

SMM Hasan, MF Rabbi, AI Champa… - … on Computer and …, 2020 - ieeexplore.ieee.org
Diabetes is an omnipresent immedicable disorder that occurs when the pancreas can't
produce enough insulin, or the body can't utilize the insulin decently. As persistent cleanse …

Hybrid technique for classification of hyperspectral image using quadratic mutual information

AI Champa, SMM Hasan, MA Rahman… - 2020 IEEE Region 10 …, 2020 - ieeexplore.ieee.org
Researchers have found profound interest in the field 'hyperspectral imaging'as it has
numerous applications. However, the center of motivation for this task has been the …