DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with …
MNU Alam, I Hasnine, EH Bahadur, AKM Masum… - Journal of Big Data, 2024 - Springer
Abstract Non-Insulin-Dependent Diabetes Mellitus (NIDDM) is a chronic health condition
caused by high blood sugar levels, and if not treated early, it can lead to serious …
caused by high blood sugar levels, and if not treated early, it can lead to serious …
Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
Abstract Polycystic Ovarian Disease or Polycystic Ovary Syndrome (PCOS) is becoming
increasingly communal among women, owing to poor lifestyle choices. According to the …
increasingly communal among women, owing to poor lifestyle choices. According to the …
Multimodal Stress and Boredom Detection via Smartwatch Sensors and Hybrid Deep Residual Network with CBAM
The prevalence of stress and boredom in contempo-rary culture substantially influences
mental health and overall well-being. Identifying activities associated with these emotional …
mental health and overall well-being. Identifying activities associated with these emotional …
Leveraging Residual Deep Neural Networks and Multi-Device Sensors for Heterogeneous Activity Recognition
This study introduces a novel approach to identifying human activities using wearable
sensors, particularly smart-phones and smartwatches. By leveraging deep learning neural …
sensors, particularly smart-phones and smartwatches. By leveraging deep learning neural …
Spatio-Temporal Deep Learning Models for Human Activity Recognition-Performance Evaluation and Optimization
N Rajesh, H Sarojadevi, S Nitya… - 2024 First …, 2024 - ieeexplore.ieee.org
This paper presents an advanced deep learning framework designed to enhance Human
Activity Recognition (HAR) by leveraging the combined strengths of Convolutional Neural …
Activity Recognition (HAR) by leveraging the combined strengths of Convolutional Neural …