The recent advancement in unmanned aerial vehicle tracking antenna: A review
AH Kelechi, MH Alsharif, DA Oluwole, P Achimugu… - Sensors, 2021 - mdpi.com
Unmanned aerial vehicle (UAV) antenna tracking system is an electromechanical
component designed to track and steer the signal beams from the ground control station …
component designed to track and steer the signal beams from the ground control station …
A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices
O Attallah, A Samir - Applied Soft Computing, 2022 - Elsevier
The quick diagnosis of the novel coronavirus (COVID-19) disease is vital to prevent its
propagation and improve therapeutic outcomes. Computed tomography (CT) is believed to …
propagation and improve therapeutic outcomes. Computed tomography (CT) is believed to …
Computer vision-based microcalcification detection in digital mammograms using fully connected depthwise separable convolutional neural network
Microcalcification clusters in mammograms are one of the major signs of breast cancer.
However, the detection of microcalcifications from mammograms is a challenging task for …
However, the detection of microcalcifications from mammograms is a challenging task for …
Datasets for Automated Affect and Emotion Recognition from Cardiovascular Signals Using Artificial Intelligence—A Systematic Review
Simple Summary We reviewed the literature on the publicly available datasets used to
automatically recognise emotion and affect using artificial intelligence (AI) techniques. We …
automatically recognise emotion and affect using artificial intelligence (AI) techniques. We …
Using facial micro-expressions in combination with EEG and physiological signals for emotion recognition
Emotions are multimodal processes that play a crucial role in our everyday lives.
Recognizing emotions is becoming more critical in a wide range of application domains …
Recognizing emotions is becoming more critical in a wide range of application domains …
Face recognition at a distance for a stand-alone access control system
Although access control based on human face recognition has become popular in consumer
applications, it still has several implementation issues before it can realize a stand-alone …
applications, it still has several implementation issues before it can realize a stand-alone …
An automatic detection and localization of mammographic microcalcifications ROI with multi-scale features using the radiomics analysis approach
Simple Summary Breast cancer is one of the foremost causes of cancer-related mortality in
women. It is curable and controllable only if detected early. Microcalcifications in breast …
women. It is curable and controllable only if detected early. Microcalcifications in breast …
Architectural distortion-based digital mammograms classification using depth wise convolutional neural network
Simple Summary Breast cancer is leading cancer increases the death rate in women. Early
diagnosis of breast cancer in women can save their lives. The current study proposed a …
diagnosis of breast cancer in women can save their lives. The current study proposed a …
Reliable sarcoidosis detection using chest X-rays with efficientnets and stain-normalization techniques
Sarcoidosis is frequently misdiagnosed as tuberculosis (TB) and consequently mistreated
due to inherent limitations in radiological presentations. Clinically, to distinguish sarcoidosis …
due to inherent limitations in radiological presentations. Clinically, to distinguish sarcoidosis …
Detection of negative stress through spectral features of electroencephalographic recordings and a convolutional neural network
In recent years, electroencephalographic (EEG) signals have been intensively used in the
area of emotion recognition, partcularly in distress identification due to its negative impact on …
area of emotion recognition, partcularly in distress identification due to its negative impact on …