Results 31 to 40 of about 456,062 (261)
Background Invariant Faster Motion Modeling for Drone Action Recognition
Visual data collected from drones has opened a new direction for surveillance applications and has recently attracted considerable attention among computer vision researchers.
Ketan Kotecha +4 more
doaj +1 more source
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Background subtraction is a popular technique for detecting objects moving across a fixed camera view. The performance of this paradigm is influenced by various challenges, such as object relocation, illumination change, cast shadows, waving background ...
Suman Kumar Choudhury +3 more
doaj +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
A Deep Moving-Camera Background Model
In video analysis, background models have many applications such as background/foreground separation, change detection, anomaly detection, tracking, and more. However, while learning such a model in a video captured by a static camera is a fairly-solved task, in the case of a Moving-camera Background Model (MCBM), the success has been far more modest ...
Guy Erez +2 more
openaire +2 more sources
IntroductionStudying the behavioral responses and movement trajectories of insects under different stimuli is crucial for developing more effective biological control measures.
Xinrui Qiu +10 more
doaj +1 more source
Analytics of Deep Neural Network-Based Background Subtraction
Deep neural network-based (DNN-based) background subtraction has demonstrated excellent performance for moving object detection. The DNN-based background subtraction automatically learns the background features from training images and outperforms ...
Tsubasa Minematsu +3 more
doaj +1 more source
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Backgrounds from tensor models: A proposal [PDF]
33 ...
openaire +4 more sources
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source

