Yoga meets intelligent internet of things: recent challenges and future directions
The physical and mental health of people can be enhanced through yoga, an excellent form
of exercise. As part of the breathing procedure, yoga involves stretching the body organs …
of exercise. As part of the breathing procedure, yoga involves stretching the body organs …
[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …
approaches to solving various challenges, such as disease predictions, drug discovery …
Recent advancements and future prospects in active deep learning for medical image segmentation and classification
Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
FMDNet: an efficient system for face mask detection based on lightweight model during COVID-19 pandemic in public areas
A new artificial intelligence-based approach is proposed by developing a deep learning
(DL) model for identifying the people who violate the face mask protocol in public places. To …
(DL) model for identifying the people who violate the face mask protocol in public places. To …
Rgsb-unet: Hybrid deep learning framework for tumour segmentation in digital pathology images
Colorectal cancer (CRC) is a prevalent gastrointestinal tumour with high incidence and
mortality rates. Early screening for CRC can improve cure rates and reduce mortality …
mortality rates. Early screening for CRC can improve cure rates and reduce mortality …
An automated deep learning approach for spine segmentation and vertebrae recognition using computed tomography images
Spine image analysis is based on the accurate segmentation and vertebrae recognition of
the spine. Several deep learning models have been proposed for spine segmentation and …
the spine. Several deep learning models have been proposed for spine segmentation and …
CNN‐SCNet: A CNN net‐based deep learning framework for infant cry detection in household setting
R Jahangir - Engineering Reports, 2024 - Wiley Online Library
Infants are vulnerable to several health problems and cannot express their needs clearly.
Whenever they are in a state of urgency and require immediate attention, they cry, which is a …
Whenever they are in a state of urgency and require immediate attention, they cry, which is a …
Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning
Background and objectives: As microbes are developing resistance to antibiotics, natural,
botanical drugs or traditional herbal medicine are presently being studied with an eye of …
botanical drugs or traditional herbal medicine are presently being studied with an eye of …
Smooth fusion of multi-spectral images via total variation minimization for traffic scene semantic segmentation
Achieving precise semantic segmentation for traffic scenes relies on adopting multi-spectral
image fusion techniques to attain high-quality images. Many existing fusion solutions often …
image fusion techniques to attain high-quality images. Many existing fusion solutions often …
Design and Development of a Non-Contact ECG-Based Human Emotion Recognition System Using SVM and RF Classifiers
Emotion recognition becomes an important aspect in the development of human-machine
interaction (HMI) systems. Positive emotions impact our lives positively, whereas negative …
interaction (HMI) systems. Positive emotions impact our lives positively, whereas negative …