A comprehensive survey on arithmetic optimization algorithm
Abstract Arithmetic Optimization Algorithm (AOA) is a recently developed population-based
nature-inspired optimization algorithm (NIOA). AOA is designed under the inspiration of the …
nature-inspired optimization algorithm (NIOA). AOA is designed under the inspiration of the …
AlzheimerNet: An effective deep learning based proposition for alzheimer's disease stages classification from functional brain changes in magnetic resonance images
Alzheimer's disease is largely the underlying cause of dementia due to its progressive
neurodegenerative nature among the elderly. The disease can be divided into five stages …
neurodegenerative nature among the elderly. The disease can be divided into five stages …
[HTML][HTML] Artificial intelligence for visually impaired
J Wang, S Wang, Y Zhang - Displays, 2023 - Elsevier
The eyes are an essential tool for human observation and perception of the world, helping
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
Efficient deep neural networks for classification of Alzheimer's disease and mild cognitive impairment from scalp EEG recordings
The early diagnosis of subjects with mild cognitive impairment (MCI) is an effective
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
Machine and deep learning approaches for alzheimer disease detection using magnetic resonance images: An updated review
The most frequent chronic illness affecting the elderly and one with a high incidence rate is
Alzheimer's disease (AD). Deep Learning (DL) and Machine Learning (ML) techniques has …
Alzheimer's disease (AD). Deep Learning (DL) and Machine Learning (ML) techniques has …
A deep learning framework for early diagnosis of Alzheimer's disease on MRI images
Numerous medical studies have shown that Alzheimer's disease (AD) was present decades
before the clinical diagnosis of dementia. As a result of the development of these studies …
before the clinical diagnosis of dementia. As a result of the development of these studies …
Nondestructive identification of soybean protein in minced chicken meat based on hyperspectral imaging and VGG16-SVM
J Sun, F Yang, J Cheng, S Wang, L Fu - Journal of Food Composition and …, 2024 - Elsevier
A rapid and nondestructive method for identification of soybean protein in minced chicken
meat based on visible-near infrared hyperspectral imaging (HSI) technology and VGG16 …
meat based on visible-near infrared hyperspectral imaging (HSI) technology and VGG16 …
Cross-domain attention-guided generative data augmentation for medical image analysis with limited data
Data augmentation is widely applied to medical image analysis tasks in limited datasets with
imbalanced classes and insufficient annotations. However, traditional augmentation …
imbalanced classes and insufficient annotations. However, traditional augmentation …
Optimizing deep neuro-fuzzy classifier with a novel evolutionary arithmetic optimization algorithm
Abstract Deep Neuro-Fuzzy System has been successfully employed in various
applications. But, the model faces two issues:(i) dataset with many features exponentially …
applications. But, the model faces two issues:(i) dataset with many features exponentially …
[HTML][HTML] A Modified Bio-Inspired Optimizer with Capsule Network for Diagnosis of Alzheimer Disease
P Ganesan, GP Ramesh, C Puttamdappa… - Applied Sciences, 2024 - mdpi.com
Recently, Alzheimer's disease (AD) is one of the common neurodegenerative disorders,
which primarily occurs in old age. Structural magnetic resonance imaging (sMRI) is an …
which primarily occurs in old age. Structural magnetic resonance imaging (sMRI) is an …