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Hyperspectral image classification: Potentials, challenges, and future directions
Recent imaging science and technology discoveries have considered hyperspectral
imagery and remote sensing. The current intelligent technologies, such as support vector …
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 …
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
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 …
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
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 …
has problems with interaction and communication, as well as limited behavior. If autistic …
Prediction of liver disorders using machine learning algorithms: a comparative study
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 …
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 …
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
Remote sensing by hyperspectral imaging (HSI) has proved to be an emerging technology
for researchers with broad appeal in legionary branches. Imaging spectroscopy, another …
for researchers with broad appeal in legionary branches. Imaging spectroscopy, another …
An effective diabetes prediction system using machine learning techniques
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 …
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
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 …
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
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 …
numerous applications. However, the center of motivation for this task has been the …