Results 121 to 130 of about 5,109 (308)

Compressive Sensing of Sparse Tensors

open access: yes, 2016
Compressive sensing (CS) has triggered an enormous research activity since its first appearance. CS exploits the signal's sparsity or compressibility in a particular domain and integrates data compression and acquisition, thus allowing exact ...
Shmuel Friedland (7936745)   +2 more
core  

Unsupervised hyperspectral band selection in the compressive sensing domain

open access: yes, 2019
Band selection (BS) algorithms are an effective means of reducing the high volume of redundant data produced by the hundreds of contiguous spectral bands of Hyperspectral images (HSI).
Chang, Chein-I   +4 more
core   +1 more source

Amuc_1473 Links Gut Microbes to Skeletal Homeostasis and Counteracts Multifactorial Osteoporosis

open access: yesAdvanced Science, EarlyView.
Amuc_1473, a previously uncharacterized protein enriched in Akkermansia muciniphila‐derived extracellular vesicles, is identified as a gut–bone messenger that promotes osteogenesis and inhibits osteoclastogenesis by engaging transcriptional and translational regulators in bone cells.
Shan‐Shan Rao   +28 more
wiley   +1 more source

Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study

open access: yesJournal of Sensor and Actuator Networks
Compressive Sensing (CS) is a transformative signal processing framework that enables sparse signal acquisition at rates below the Nyquist limit, offering substantial advantages in data efficiency and reconstruction accuracy.
Lekshmi R. Chandran   +4 more
doaj   +1 more source

Projection Matrix Design for Co-Sparse Analysis Model Based Compressive Sensing

open access: yesMATEC Web of Conferences, 2018
Co-sparse analysis model based-compressive sensing (CAMBCS) has gained attention in recent years as alternative to conventional sparse synthesis model based (SSMB)-CS.
Oey Endra, Gunawan Dadang, Sudiana Dodi
doaj   +1 more source

Sparsity in compressive sensing

open access: yes, 2017
Reducing the cost of seismic exploration is a long-standing problem. Compressive sensing (CS) provides a new routine for recovering signals when the seismic acquisition is under the criteria of Nyquist theory.
Siwei Yu, Jianwei Ma
core   +1 more source

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

open access: yesAdvanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan   +24 more
wiley   +1 more source

SERS Facemask for Rapid and Portable Sensing Mycobacterium Tuberculosis Antigens for TB Screening

open access: yesAdvanced Science, EarlyView.
Our study introduced an Au─Ag embedded covalent organic framework (U@COF) ‐mediated facemask for sensing TB antigen ESAT‐6/CFP‐10 complex in clinical droplet samples toward TB screening. Practical analysis of clinical samples demonstrated the availability of our facemask, which is capable of identifying the TB subjects (N = 17) from healthy candidates (
Lingzhi Chen   +20 more
wiley   +1 more source

Compressive Sensing in IoT-Based Multi-Sensor Wireless Sensor Networks

open access: yesInternational Journal of Information and Communication Technology Research, 2019
Wireless sensor network (WSN) is one of the most important components of the Internet of Things (IoT). IoT on the WSN layer, measures different parameters by different sensors embedded in the multi-sensor nodes.
Mohammad Reza Ghaderi   +2 more
doaj  

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

open access: yesAdvanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu   +16 more
wiley   +1 more source

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