[HTML][HTML] Privacy-preserving artificial intelligence in healthcare: Techniques and applications
There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …
clinically-validated applications to improve the performance, capacity, and efficacy of …
Introduction to distributed nearest hash: On further optimizing cloud based distributed knn variant
Abstract K-Nearest Neighbors (KNN) are very popular supervised machine learning
algorithm which can be effectively used for both multi-class classification and regression …
algorithm which can be effectively used for both multi-class classification and regression …
A sco** review of applications of artificial intelligence in kinematics and kinetics of ankle sprains-current state-of-the-art and future prospects
Background Despite the existence of evidence-based rehabilitation strategies that address
biomechanical deficits, the persistence of recurrent ankle problems in 70% of patients with …
biomechanical deficits, the persistence of recurrent ankle problems in 70% of patients with …
[HTML][HTML] A mixed integer linear programming model for quarantine-based home healthcare scheduling under uncertainty
Home healthcare companies (HHC) have emerged as vital alternatives to traditional
hospitals, particularly in meeting the healthcare needs of individuals within the comfort of …
hospitals, particularly in meeting the healthcare needs of individuals within the comfort of …
An intelligent algorithm to evaluate and improve the performance of a home healthcare center considering trust indicators
Home healthcare (HHC) is a beneficial choice for many people and especially an essential
alternative to clinics and hospitals for infection prevention during the COVID-19 pandemic …
alternative to clinics and hospitals for infection prevention during the COVID-19 pandemic …
E-BMI: A gait based smart remote BMI monitoring framework implementing edge computing and incremental machine learning
Abstract Body Mass Index (BMI) is a significant indicator for assessing health risk factors.
Being obese can be associated with certain health conditions like diabetes, heart disease …
Being obese can be associated with certain health conditions like diabetes, heart disease …
Teacher–student network for 3D point cloud anomaly detection with few normal samples
Anomaly detection, which is a critical and popular topic in computer vision, aims to detect
anomalous samples that are different from the normal (ie, non-anomalous) ones. The current …
anomalous samples that are different from the normal (ie, non-anomalous) ones. The current …
DUET: Improving inertial-based odometry via deep IMU online calibration
This article presents a deep data-driven inertial measurement unit (IMU) online calibration
(DUET) method that can compensate for the run-time errors of the accelerometer and …
(DUET) method that can compensate for the run-time errors of the accelerometer and …
The gait of a subject follows a specific pattern, but variations exist that are unique to a
subject but contrasting to other subjects. This can be utilized for biometric authentication to …
subject but contrasting to other subjects. This can be utilized for biometric authentication to …
Secret learning for lung cancer diagnosis—A study with homomorphic encryption, texture analysis and deep learning
Advanced lung cancer diagnoses from radiographic images include automated detection of
lung cancer from CT-Scan images of the lungs. Deep learning is a popular method for …
lung cancer from CT-Scan images of the lungs. Deep learning is a popular method for …