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 …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: A deep learning approach
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …
diseases in the current era. Several approaches have been proposed in the literature for the …
Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …
not look to be ending soon for most countries across the world. To slow the spread of the …
[HTML][HTML] Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach …
Accurate and timely detection and classification of lung abnormalities are crucial for effective
diagnosis and treatment planning. In recent years, Deep Learning (DL) techniques have …
diagnosis and treatment planning. In recent years, Deep Learning (DL) techniques have …
Explainable artificial intelligence in Alzheimer's disease classification: A systematic review
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
PoxNet22: A fine-tuned model for the classification of monkeypox disease using transfer learning
Officials in the field of public health are concerned about a new monkeypox outbreak, even
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …
Explainable deep learning model for automatic mulberry leaf disease classification
Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect
mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the …
mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the …
Botanicx-ai: Identification of tomato leaf diseases using an explanation-driven deep-learning model
Early and accurate tomato disease detection using easily available leaf photos is essential
for farmers and stakeholders as it help reduce yield loss due to possible disease epidemics …
for farmers and stakeholders as it help reduce yield loss due to possible disease epidemics …
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 …