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 …
An effective skin cancer classification mechanism via medical vision transformer
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of
people every year. Early SC detection can increase the survival rate for patients up to 70 …
people every year. Early SC detection can increase the survival rate for patients up to 70 …
Improving the efficiency of multistep short-term electricity load forecasting via R-CNN with ML-LSTM
Multistep power consumption forecasting is smart grid electricity management's most
decisive problem. Moreover, it is vital to develop operational strategies for electricity …
decisive problem. Moreover, it is vital to develop operational strategies for electricity …
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 …
Combining the transformer and convolution for effective brain tumor classification using MRI images
In the world, brain tumor (BT) is considered the major cause of death related to cancer,
which requires early and accurate detection for patient survival. In the early detection of BT …
which requires early and accurate detection for patient survival. In the early detection of BT …
Solar power prediction using dual stream CNN-LSTM architecture
The integration of solar energy with a power system brings great economic and
environmental benefits. However, the high penetration of solar power is challenging due to …
environmental benefits. However, the high penetration of solar power is challenging due to …
Facial emotion recognition in verbal communication based on deep learning
MF Alsharekh - Sensors, 2022 - mdpi.com
Facial emotion recognition from facial images is considered a challenging task due to the
unpredictable nature of human facial expressions. The current literature on emotion …
unpredictable nature of human facial expressions. The current literature on emotion …
An efficient pest detection framework with a medium-scale benchmark to increase the agricultural productivity
Insect pests and crop diseases are considered the major problems for agricultural
production, due to the severity and extent of their occurrence causing significant crop losses …
production, due to the severity and extent of their occurrence causing significant crop losses …
An efficient lightweight hybrid model with attention mechanism for enhancer sequence recognition
Enhancers are sequences with short motifs that exhibit high positional variability and free
scattering properties. Identification of these noncoding DNA fragments and their strength are …
scattering properties. Identification of these noncoding DNA fragments and their strength are …
A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking
Masked face recognition (MFR) has emerged as a critical domain in biometric identification,
especially by the global COVID-19 pandemic, which introduced widespread face masks …
especially by the global COVID-19 pandemic, which introduced widespread face masks …