Recent advances in crop disease detection using UAV and deep learning techniques
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms,
sensors and software, UAVs have gained popularity among precision agriculture …
sensors and software, UAVs have gained popularity among precision agriculture …
Monkeypox virus detection using pre-trained deep learning-based approaches
Monkeypox virus is emerging slowly with the decline of COVID-19 virus infections around
the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-19 …
the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-19 …
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
Fruit classification using attention-based MobileNetV2 for industrial applications
Recent deep learning methods for fruits classification resulted in promising performance.
However, these methods are with heavy-weight architectures in nature, and hence require a …
However, these methods are with heavy-weight architectures in nature, and hence require a …
Detection of pneumonia from chest X-ray images utilizing mobilenet model
Pneumonia has been directly responsible for a huge number of deaths all across the globe.
Pneumonia shares visual features with other respiratory diseases, such as tuberculosis …
Pneumonia shares visual features with other respiratory diseases, such as tuberculosis …
Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
A new stock price forecasting method using active deep learning approach
K Alkhatib, H Khazaleh, HA Alkhazaleh… - Journal of Open …, 2022 - mdpi.com
Stock price prediction is a significant research field due to its importance in terms of benefits
for individuals, corporations, and governments. This research explores the application of the …
for individuals, corporations, and governments. This research explores the application of the …
RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases
Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung
diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more …
diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more …
Secure image encryption using chaotic, hybrid chaotic and block cipher approach
Secure image transmission is one of the most challenging problems in the age of
communication technology. Millions of people use and transfer images for either personal or …
communication technology. Millions of people use and transfer images for either personal or …
Exploring the capabilities of a lightweight CNN model in accurately identifying renal abnormalities: Cysts, stones, and tumors, using LIME and SHAP
Kidney abnormality is one of the major concerns in modern society, and it affects millions of
people around the world. To diagnose different abnormalities in human kidneys, a narrow …
people around the world. To diagnose different abnormalities in human kidneys, a narrow …