Results 251 to 260 of about 3,447,355 (412)
Book Review: Parallel Algorithms for Digital image Processing, Computer Vision and Neural Networks, by Ed. I. Pitas [PDF]
Peter G. Parsons
openalex +1 more source
Objective The increasing burden associated with low back pain (LBP) is a critical issue. This is a novel analysis of trends in risk factors for LBP aiming to identify risk factors that require further attention or consideration in global policies to reduce the burden of LBP.
Katharine E. Roberts+5 more
wiley +1 more source
Identification Tools of Microplastics from Surface Water Integrating Digital Image Processing and Statistical Techniques. [PDF]
Dacewicz E+2 more
europepmc +1 more source
Grinding Wheel Loading Evaluation by Using Acoustic Emission Signals and Digital Image Processing. [PDF]
Liu CS, Ou YJ.
europepmc +1 more source
184. Evaluation of the capacity of anti-scatter grids using digital image processing
Atsushi Takigawa+3 more
openalex +2 more sources
Objective Promoting Resilience in Stress Management (PRISM) is a resilience coaching program designed for adolescents with chronic illness. We aimed to examine the perceived feasibility, acceptability, and appropriateness of PRISM among pediatric rheumatologists treating adolescents with chronic musculoskeletal pain and obtain recommendations for ...
Sabrina Gmuca+9 more
wiley +1 more source
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox+3 more
wiley +1 more source
A first meta-analysis study on body weight prediction method for beef cattle based on digital image processing. [PDF]
Firdaus F+5 more
europepmc +1 more source
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source