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 …
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 …
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 …
Innovative hybrid approach for masked face recognition using pretrained mask detection and segmentation, robust PCA, and KNN classifier
Face masks are widely used in various industries and jobs, such as healthcare, food service,
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
Face mask detection on photo and real-time video images using Caffe-MobileNetV2 transfer learning
Face detection systems have generally been used primarily for non-masked faces, which
include relevant facial characteristics such as the ears, chin, lips, nose, and eyes. Masks are …
include relevant facial characteristics such as the ears, chin, lips, nose, and eyes. Masks are …
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 …
Optimized face detector-based intelligent face mask detection model in IoT using deep learning approach
RAS Naseri, A Kurnaz, HM Farhan - Applied Soft Computing, 2023 - Elsevier
The growth of the “Internet of Medical Things (IoMT)” allows for the collection and processing
of data in healthcare systems. At the same time, it is challenging to study the requirements of …
of data in healthcare systems. At the same time, it is challenging to study the requirements of …
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
D Albashish - PeerJ Computer Science, 2022 - peerj.com
Deep convolutional neural networks (CNN) manifest the potential for computer-aided
diagnosis systems (CADs) by learning features directly from images rather than using …
diagnosis systems (CADs) by learning features directly from images rather than using …
Visual-Inertial Image-Odometry Network (VIIONet): A Gaussian process regression-based deep architecture proposal for UAV pose estimation
This study estimates the pose of Unmanned Aerial Vehicle (UAV) through artificial
intelligence-based approaches and combines visual-inertial information in a different way …
intelligence-based approaches and combines visual-inertial information in a different way …