Beyond supervised learning for pervasive healthcare
The integration of machine/deep learning and sensing technologies is transforming
healthcare and medical practice. However, inherent limitations in healthcare data, namely …
healthcare and medical practice. However, inherent limitations in healthcare data, namely …
A smart e-health framework for monitoring the health of the elderly and disabled
A Yazici, D Zhumabekova, A Nurakhmetova… - Internet of Things, 2023 - Elsevier
The healthcare sector is experiencing a significant transformation due to the widespread
adoption of IoT-based systems, especially in the care of elderly and disabled individuals …
adoption of IoT-based systems, especially in the care of elderly and disabled individuals …
Generalizable low-resource activity recognition with diverse and discriminative representation learning
Human activity recognition (HAR) is a time series classification task that focuses on
identifying the motion patterns from human sensor readings. Adequate data is essential but …
identifying the motion patterns from human sensor readings. Adequate data is essential but …
Domain generalization for rotating machinery real-time remaining useful life prediction via multi-domain orthogonal degradation feature exploration
The domain adaptation-based approach for remaining useful life (RUL) prediction has
gained significant attention in addressing the challenges of cross-domain RUL prediction …
gained significant attention in addressing the challenges of cross-domain RUL prediction …
Robust feature representation using multi-task learning for human activity recognition
Learning underlying patterns from sensory data is crucial in the Human Activity Recognition
(HAR) task to avoid poor generalization when coping with unseen data. A key solution to …
(HAR) task to avoid poor generalization when coping with unseen data. A key solution to …
Learning to Generalize Unseen Dataset for Cross-dataset Palmprint Recognition
Cross-dataset palmprint recognition promotes the convenience and flexibility of palmprint
recognition. However, most of the current cross-dataset palmprint recognition methods need …
recognition. However, most of the current cross-dataset palmprint recognition methods need …
Location-Aware Encoding for Lesion Detection in Ga-DOTATATE Positron Emission Tomography Images
Objective: Lesion detection with positron emission tomography (PET) imaging is critical for
tumor staging, treatment planning, and advancing novel therapies to improve patient …
tumor staging, treatment planning, and advancing novel therapies to improve patient …
Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition
N Bento, J Rebelo, AV Carreiro, F Ravache… - Sensors, 2023 - mdpi.com
The study of Domain Generalization (DG) has gained considerable momentum in the
Machine Learning (ML) field. Human Activity Recognition (HAR) inherently encompasses …
Machine Learning (ML) field. Human Activity Recognition (HAR) inherently encompasses …
Subsampled Randomized Hadamard Transformation-based Ensemble Extreme Learning Machine for Human Activity Recognition
Extreme Learning Machine (ELM) is becoming a popular learning algorithm due to its
diverse applications, including Human Activity Recognition (HAR). In ELM, the hidden node …
diverse applications, including Human Activity Recognition (HAR). In ELM, the hidden node …
Multi-source domain generalization deep neural network model for predicting energy consumption in multiple office buildings
The effective prediction of building energy consumption can be used to optimize building
operating modes and reduce the overall energy consumption and carbon emission of the …
operating modes and reduce the overall energy consumption and carbon emission of the …