Results 111 to 120 of about 1,813,028 (298)
EnergiesThe quality of power signals is strongly influenced by nonlinear loads in Electrical Power systems. Representation of electrical signals using different Sparse techniques is an interesting area of research as it moderates the volume of data to be stored.
Vivek Anjali +1 more
doaj +1 more source
The proportional representation review.
, 1893 Continued as a department of: Direct legislation record and the proportional representation review."A quarterly magazine, devoted to the reformation of the method of electing representatives."Title from cover.Mode of access: Internet.Revived and absorbed
American Proportional Representation League.
core
Combinatorial Regression and Improved Basis Pursuit for Sparse Estimation [PDF]
, 2012 Sparse representations accurately model many real-world data sets. Some form of sparsity is conceivable in almost every practical application, from image and video processing, to spectral sensing in radar detection, to bio-computation and genomic signal ...
Khajehnejad, M. Amin
core +1 more source
Arthritis Care &Research, EarlyView.Objective This study aimed to investigate hand function trajectories over five years in primary hand osteoarthritis (OA). Additionally, determinants of baseline and longitudinal hand function were assessed. Methods A total of 538 patients with both baseline and five‐year study visits were analyzed.
Annemiek V. E. M. Olde Meule +4 more
wiley +1 more source
Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation
IEEE Access, 2017 Recognizing the certain person of interest in cameras of different viewpoints is known as the task of person re-identification. It has been a challenging job considering the variation in human pose, the changing illumination conditions and the lack of ...
Jie Guo +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey +8 more
wiley +1 more source
Jixie chuandong, 2020 Sparse representation has a wide range of applications in the field of image processing and audio processing. Applying the sparse representation theory to the field of vibration signal processing can efficiently represent the periodic components of the ...
Xiaoyun Gong +3 more
doaj
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
SparseLoc: Indoor Localization Using Sparse Representation
IEEE Access, 2017 With the popularity of smart mobile devices, “context-aware”applications have attracted intense interest, for which location is one of the most essential contexts.
Kongyang Chen +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source