Pneumonia detection on chest X-ray images using ensemble of deep convolutional neural networks
Pneumonia is a life-threatening lung infection resulting from several different viral infections.
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …
A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform
In this paper, we have developed the SEMAR (Smart Environmental Monitoring and
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …
An efficient artificial rabbits optimization based on mutation strategy for skin cancer prediction
Accurate skin lesion diagnosis is critical for the early detection of melanoma. However, the
existing approaches are unable to attain substantial levels of accuracy. Recently, pre-trained …
existing approaches are unable to attain substantial levels of accuracy. Recently, pre-trained …
Optimization of cnn using modified honey badger algorithm for sleep apnea detection
Sleep Apnea (SA) is the most prevalent breathing sleep problem, and if left untreated, it can
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …
lead to catastrophic neurological and cardiovascular illnesses. Conventionally …
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Social media allows the spread of vital information regarding crises and emergencies. Thus,
emergency management systems can benefit from social media because they can be used …
emergency management systems can benefit from social media because they can be used …
Image classification of wheat rust based on ensemble learning
Q Pan, M Gao, P Wu, J Yan, MAE AbdelRahman - Sensors, 2022 - mdpi.com
Rust is a common disease in wheat that significantly impacts its growth and yield. Stem rust
and leaf rust of wheat are difficult to distinguish, and manual detection is time-consuming …
and leaf rust of wheat are difficult to distinguish, and manual detection is time-consuming …
Optimizing fake news detection for Arabic context: A multitask learning approach with transformers and an enhanced Nutcracker Optimization Algorithm
The rapid proliferation of news and posts across social media platforms has spawned a
concerning wave of misinformation. Disseminating false information and news significantly …
concerning wave of misinformation. Disseminating false information and news significantly …
Optimal skin cancer detection model using transfer learning and dynamic-opposite hunger games search
Recently, pre-trained deep learning (DL) models have been employed to tackle and
enhance the performance on many tasks such as skin cancer detection instead of training …
enhance the performance on many tasks such as skin cancer detection instead of training …
An ensemble deep learning models approach using image analysis for cotton crop classification in AI-enabled smart agriculture
Background Agriculture is one of the most crucial assets of any country, as it brings
prosperity by alleviating poverty, food shortages, unemployment, and economic instability …
prosperity by alleviating poverty, food shortages, unemployment, and economic instability …
[HTML][HTML] A comprehensive survey of honey badger optimization algorithm and meta-analysis of its variants and applications
Metaheuristic algorithms are commonly used in solving complex and NP-hard optimization
problems in various fields. These algorithms have become popular because of their ability to …
problems in various fields. These algorithms have become popular because of their ability to …