Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional …
Microorganisms are widely distributed in the human daily living environment. They play an
essential role in environmental pollution control, disease prevention and treatment, and food …
essential role in environmental pollution control, disease prevention and treatment, and food …
Plant image recognition with deep learning: A review
Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …
years using deep learning, which has significantly exceeded previous methods. Deep …
Using deep transfer learning for image-based plant disease identification
Plant diseases have a disastrous impact on the safety of food production, and they can
cause a significant reduction in both the quality and quantity of agricultural products. In …
cause a significant reduction in both the quality and quantity of agricultural products. In …
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Advances in artificial intelligence technologies have made it possible to obtain more
accurate and reliable results using digital images. Due to the advances in digital …
accurate and reliable results using digital images. Due to the advances in digital …
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2022 - Springer
Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder
The collected vibration data with labeled information from bearing is far insufficient in
engineering practice, which is challenging for training an intelligent diagnosis model. For …
engineering practice, which is challenging for training an intelligent diagnosis model. For …
Detection of rice plant diseases based on deep transfer learning
BACKGROUND As the primary food for nearly half of the world's population, rice is cultivated
almost all over the world, especially in Asian countries. However, the farmers and planting …
almost all over the world, especially in Asian countries. However, the farmers and planting …
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization
In this paper, a novel approach called GSA-DenseNet121-COVID-19 based on a hybrid
convolutional neural network (CNN) architecture is proposed using an optimization …
convolutional neural network (CNN) architecture is proposed using an optimization …
A survey of deep learning techniques for underwater image classification
In recent years, there has been an enormous interest in using deep learning to classify
underwater images to identify various objects, such as fishes, plankton, coral reefs …
underwater images to identify various objects, such as fishes, plankton, coral reefs …
Multi-sensor and multi-platform retrieval of water chlorophyll a concentration in karst wetlands using transfer learning frameworks with ASD, UAV, and Planet …
China has one of the widest distributions of carbonate rocks in the world. Karst wetland is a
special and important ecosystem of carbonate rock regions. Chlorophyll-a (Chla) …
special and important ecosystem of carbonate rock regions. Chlorophyll-a (Chla) …