Classification and analysis of pistachio species with pre-trained deep learning models
Pistachio is a shelled fruit from the anacardiaceae family. The homeland of pistachio is the
Middle East. The Kirmizi pistachios and Siirt pistachios are the major types grown and …
Middle East. The Kirmizi pistachios and Siirt pistachios are the major types grown and …
Classification of deep image features of lentil varieties with machine learning techniques
Today, image classification methods are widely utilized on agricultural products or in
agricultural applications. However, many of these methods based on traditional approaches …
agricultural applications. However, many of these methods based on traditional approaches …
An optimization-based diabetes prediction model using CNN and Bi-directional LSTM in real-time environment
Featured Application Diabetes is a common chronic disorder defined by excessive glucose
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
Application of pre-trained deep convolutional neural networks for coffee beans species detection
Coffee is an important export product of the tropical countries where it is grown. Therefore,
the separation of coffee beans in the world in terms of the quality element and variety forgery …
the separation of coffee beans in the world in terms of the quality element and variety forgery …
Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques
There are many types of haricot beans, the nutrient consumed all over the world. Each type
differs in terms of features such as taste, size, economic value, etc. But even if they are …
differs in terms of features such as taste, size, economic value, etc. But even if they are …
A framework for lung and colon cancer diagnosis via lightweight deep learning models and transformation methods
Among the leading causes of mortality and morbidity in people are lung and colon cancers.
They may develop concurrently in organs and negatively impact human life. If cancer is not …
They may develop concurrently in organs and negatively impact human life. If cancer is not …
[HTML][HTML] OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks
Building upon pre-trained ViT models, many advanced methods have achieved significant
success in COVID-19 classification. Many scholars pursue better performance by increasing …
success in COVID-19 classification. Many scholars pursue better performance by increasing …
Segmentation of dry bean (Phaseolus vulgaris L.) leaf disease images with U-Net and classification using deep learning algorithms
Detecting plant diseases is a challenging and time-consuming task that requires expertise
and laboratory conditions. Deep learning methods have been proposed as a solution to this …
and laboratory conditions. Deep learning methods have been proposed as a solution to this …
Detection of fish freshness using artificial intelligence methods
Fish is commonly acknowledged as a highly nutritious food in many regions worldwide, and
humans have been consuming fish for centuries to meet their protein and nutritional …
humans have been consuming fish for centuries to meet their protein and nutritional …
A deep learning approach for detecting stroke from brain CT images using OzNet
A brain stroke is a life-threatening medical disorder caused by the inadequate blood supply
to the brain. After the stroke, the damaged area of the brain will not operate normally. As a …
to the brain. After the stroke, the damaged area of the brain will not operate normally. As a …