A comprehensive review on soil classification using deep learning and computer vision techniques
Soil classification is one of the major affairs and emanating topics in a large number of
countries. The population of the world is rising at a majorly rapid pace and along with the …
countries. The population of the world is rising at a majorly rapid pace and along with the …
Decade progress of palmprint recognition: A brief survey
As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
Mask-refined R-CNN: A network for refining object details in instance segmentation
Y Zhang, J Chu, L Leng, J Miao - Sensors, 2020 - mdpi.com
With the rapid development of flexible vision sensors and visual sensor networks, computer
vision tasks, such as object detection and tracking, are entering a new phase. Accordingly …
vision tasks, such as object detection and tracking, are entering a new phase. Accordingly …
PalmNet: Gabor-PCA convolutional networks for touchless palmprint recognition
Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …
through less-constrained and highly usable procedures that do not require the contact of the …
[HTML][HTML] Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
COVID-19 is a contagious disease that affects the human respiratory system. Infected
individuals may develop serious illnesses, and complications may result in death. Using …
individuals may develop serious illnesses, and complications may result in death. Using …
Feature extraction methods for palmprint recognition: A survey and evaluation
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …
However, different types of palmprint images contain different dominant features. Instead …
Thyroid disease prediction using selective features and machine learning techniques
Simple Summary The study presents a thyroid disease prediction approach which utilizes
random forest-based features to obtain high accuracy. The approach can obtain a 0.99 …
random forest-based features to obtain high accuracy. The approach can obtain a 0.99 …
Automated detection of myocardial infarction and heart conduction disorders based on feature selection and a deep learning model
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose
various heart-related conditions in patients. An automated diagnostic tool is required to …
various heart-related conditions in patients. An automated diagnostic tool is required to …
Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features
In the area of machine learning and pattern recognition, object classification is getting an
attraction due to its range of applications such as visual surveillance. In recent times …
attraction due to its range of applications such as visual surveillance. In recent times …
Robust zero-watermarking algorithm for medical images based on SIFT and Bandelet-DCT
The gradual improvement of traditional medicare in the cloud has greatly promoted the
development of medical enterprise. Meanwhile, problems such as the leakage of patients' …
development of medical enterprise. Meanwhile, problems such as the leakage of patients' …