Intelligent fruit yield estimation for orchards using deep learning based semantic segmentation techniques—a review
Smart farming employs intelligent systems for every domain of agriculture to obtain
sustainable economic growth with the available resources using advanced technologies …
sustainable economic growth with the available resources using advanced technologies …
A survey of machine learning-based methods for COVID-19 medical image analysis
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in
6.6 million deaths with more than 637 million people infected after only 30 months since the …
6.6 million deaths with more than 637 million people infected after only 30 months since the …
Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification
Q Zheng, P Zhao, Y Li, H Wang, Y Yang - Neural Computing and …, 2021 - Springer
Automatic modulation classification is an essential and challenging topic in the development
of cognitive radios, and it is the cornerstone of adaptive modulation and demodulation …
of cognitive radios, and it is the cornerstone of adaptive modulation and demodulation …
A novel data augmentation convolutional neural network for detecting malaria parasite in blood smear images
Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying
Plasmodium parasites in blood smear images can help diagnose malaria fever rapidly and …
Plasmodium parasites in blood smear images can help diagnose malaria fever rapidly and …
Skin lesion classification using collective intelligence of multiple neural networks
D Popescu, M El-Khatib, L Ichim - Sensors, 2022 - mdpi.com
Skin lesion detection and analysis are very important because skin cancer must be found in
its early stages and treated immediately. Once installed in the body, skin cancer can easily …
its early stages and treated immediately. Once installed in the body, skin cancer can easily …
A generative adversarial network for synthetization of regions of interest based on digital mammograms
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
Hand gesture recognition based on auto-landmark localization and reweighted genetic algorithm for healthcare muscle activities
Due to the constantly increasing demand for the automatic localization of landmarks in hand
gesture recognition, there is a need for a more sustainable, intelligent, and reliable system …
gesture recognition, there is a need for a more sustainable, intelligent, and reliable system …
[HTML][HTML] A review on pavement distress and structural defects detection and quantification technologies using imaging approaches
C Chu, L Wang, H **ong - Journal of Traffic and Transportation …, 2022 - Elsevier
Pavement distress detection (PDD) plays a vital role in planning timely pavement
maintenance that improves pavement service life. In order to promote the development of …
maintenance that improves pavement service life. In order to promote the development of …
Covid-19 detection from chest x-rays using trained output based transfer learning approach
The recent Coronavirus disease (COVID-19), which started in 2019, has spread across the
globe and become a global pandemic. The efficient and effective COVID-19 detection using …
globe and become a global pandemic. The efficient and effective COVID-19 detection using …
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease
The Ebola virus and the disease in effect tend to randomly move individuals in the
population around susceptible, infected, quarantined, hospitalized, recovered, and dead sub …
population around susceptible, infected, quarantined, hospitalized, recovered, and dead sub …