A novel deep learning method for detection and classification of plant diseases
The agricultural production rate plays a pivotal role in the economic development of a
country. However, plant diseases are the most significant impediment to the production and …
country. However, plant diseases are the most significant impediment to the production and …
An intelligent system for early recognition of Alzheimer's disease using neuroimaging
Alzheimer's disease (AD) is a neurodegenerative disease that affects brain cells, and mild
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …
Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network
The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
An improved deep learning approach for localization and recognition of plant leaf diseases
A nation's economic progress is significantly influenced by its percentage of crop yields.
However, the major barrier to the quantity and quality of yield is crop disease. For quick and …
However, the major barrier to the quantity and quality of yield is crop disease. For quick and …
COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
Addformer: Alzheimer's disease detection from structural mri using fusion transformer
R Kushol, A Masoumzadeh, D Huo… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
Alzheimer's disease is the most prevalent neurodegenerative disorder characterized by
degeneration of the brain. It is classified as a brain disease causing dementia that presents …
degeneration of the brain. It is classified as a brain disease causing dementia that presents …
Transfer learning-based automatic hurricane damage detection using satellite images
After the occurrence of a hurricane, assessing damage is extremely important for the
emergency managers so that relief aid could be provided to afflicted people. One method of …
emergency managers so that relief aid could be provided to afflicted people. One method of …
The use of artificial neural networks to diagnose Alzheimer's disease from brain images
Since Alzheimer's disease (AD) occurs in multiple stages of cognitive impairment, its early
diagnosis can be helpful in the process of treatment. Its early diagnosis is thus drawn the …
diagnosis can be helpful in the process of treatment. Its early diagnosis is thus drawn the …
Automatic early diagnosis of Alzheimer's disease using 3D deep ensemble approach
Alzheimer's disease (AD) is considered the 6 leading cause of death worldwide. Early
diagnosis of AD is not an easy task, and no preventive cures have been discovered yet …
diagnosis of AD is not an easy task, and no preventive cures have been discovered yet …
A low-cost three-dimensional DenseNet neural network for Alzheimer's disease early discovery
B Solano-Rojas, R Villalón-Fonseca - Sensors, 2021 - mdpi.com
Alzheimer's disease is the most prevalent dementia among the elderly population. Early
detection is critical because it can help with future planning for those potentially affected …
detection is critical because it can help with future planning for those potentially affected …