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 …
IoT based smart baby monitoring system with emotion recognition using machine learning
Child care is necessary for parents, but nowadays taking care of a child has become a lot
more challenging, especially for working mothers. It has become increasingly difficult for …
more challenging, especially for working mothers. It has become increasingly difficult for …
Improved algorithm for face mask detection based on Yolo-V4
G Zhao, S Zou, H Wu - International Journal of Computational Intelligence …, 2023 - Springer
To reduce the chance of being infected by the COVID-19, wearing masks correctly when
entering and leaving public places has become the most feasible and effective ways to …
entering and leaving public places has become the most feasible and effective ways to …
Pneumonia Classification from Chest X-ray Images Using Pre-Trained Network Architectures
Pneumonia is a serious disease caused by a lung infection that affects young and old
people and approximately cause of 4 million deaths each year. Patients that are facing …
people and approximately cause of 4 million deaths each year. Patients that are facing …
[PDF][PDF] Interpretation of Expressions through Hand Signs Using Deep Learning Techniques
__________________________________… t is a challenging task to interpret sign
language automatically, as it comprises high-level vision features to accurately understand …
language automatically, as it comprises high-level vision features to accurately understand …
Detecting iot attacks using multi-layer data through machine learning
Internet of Things (IoT) devices is being used in countless network applications. However,
due to their insecure nature, the wide adoption of these devices has also increased the …
due to their insecure nature, the wide adoption of these devices has also increased the …
Enhancing Pakistan Rice Plant Disease Detection: A Highly Effective Pre-Trained CNN Model
Rice, a crucial global food source, faces numerous challenges impacting its quality and
quantity. Pakistan is a significant rice producer and needs more agricultural technological …
quantity. Pakistan is a significant rice producer and needs more agricultural technological …
Formal Modeling and Analysis of Integrated Healthcare System using Colored Petri Nets
Given today's situation, when a disease like COVID-19 has engulfed the world, the
importance of the Integrated Healthcare System (HCS) increases a lot. Pakistan's healthcare …
importance of the Integrated Healthcare System (HCS) increases a lot. Pakistan's healthcare …
[PDF][PDF] Revolutionizing Cryptography: A Cutting-Edge Substitution Box Design Through Trigonometric Transformation
In today's world, most information exists in digital form, and even the remaining hard copies
are transitioning too digital. This shift has brought numerous advantages, allowing people to …
are transitioning too digital. This shift has brought numerous advantages, allowing people to …
[PDF][PDF] An Enhanced Authentication Scheme for Ensuring Network Devices Security and Performance Optimization
An Enhanced Authentication Scheme for Ensuring Network Devices Security and
Performance Optimization Page 1 International Journal of Innovations in Science & …
Performance Optimization Page 1 International Journal of Innovations in Science & …