Results 151 to 160 of about 22,970,744 (375)

Orbit complexity and data compression

Discrete & Continuous Dynamical Systems - A, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Data compression in remote sensing applications [PDF]

A survey of current data compression techniques which are being used to reduce the amount of data in remote sensing applications is provided. The survey aspect is far from complete, reflecting the substantial activity in this area.
Sayood, Khalid
core   +1 more source

Quantity and Volume of Perivascular Spaces Are Inversely Associated With Multiple Sclerosis Relative to Cerebrovascular Disease and Migraine

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To quantify the number and volume of whole brain perivascular spaces (PVS) using a detection and segmentation algorithm in participants with multiple sclerosis (MS) and patients with disorders mimicking MS known to potentially influence PVS, such as cerebrovascular disease.
Elle M. Levit, Elizabeth A. Horwath, Daniel L. Schwartz, Lisa C. Silbert, Russell T. Shinohara, Andrew J. Solomon   +5 more
wiley   +1 more source

Variational Autoencoders for Network Lifetime Enhancement in Wireless Sensors

Sensors
Wireless sensor networks (WSNs) are structured for monitoring an area with distributed sensors and built-in batteries. However, most of their battery energy is consumed during the data transmission process.
Boopathi Chettiagounder Sengodan, Prince Mary Stanislaus, Sivakumar Sabapathy Arumugam, Dipak Kumar Sah, Dharmesh Dhabliya, Poongodi Chenniappan, James Deva Koresh Hezekiah, Rajagopal Maheswar   +7 more
doaj   +1 more source

Lossless Data Compression for Time-Series Sensor Data Based on Dynamic Bit Packing. [PDF]

Sensors (Basel), 2023
Hwang SH, Kim KM, Kim S, Kwak JW.
europepmc   +1 more source

A simple data compression scheme for binary images of bacteria compared with commonly used image data compression schemes [PDF]

, 1994
Michael H. F. Wilkinson
openalex   +1 more source

A Multi‐Center Retrospective Cohort Study of Neurosarcoidosis Myelitis: Current Observations and Future Directions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The optimal treatment for neurosarcoidosis myelitis is uncertain. We characterize incident neurosarcoidosis myelitis and assess treatment response by MRI and clinical scales. Methods Incident probable or definite neurosarcoidosis myelitis in adults was retrospectively identified from 13 academic medical centers.
Giovanna S. Manzano, Denis Balaban, Yihan Zhang, Brian Healy, Bart K. Chwalisz, Michael Levy, Nagagopal Venna, Barney J. Stern, Carlos A. Pardo, Paula Barreras, Nicole Bou Rjeily, Eoin P. Flanagan, Vyanka Redenbaugh, Allen J. Aksamit Jr., Spencer Hutto, Max Herman, Sally El Sammak, Elsa C. Rodriguez, Laura Snider, Hannah Rains, Mayra Montalvo, Torge Rempe, Sergi Martinez Ramirez, Lucas Horta, Stacey Clardy, Jennifer Lord, Tracey A. Cho, Lama Abdel Wahed, Joseph R. Berger, Rohini D. Samudralwar, Noellie Rivera Torres, David B. Clifford, Steven Richard Dunham, Masoud Majed, Aram Zabeti, Samuel Marcucci, Yang Mao‐Draayer, Jon Doty, Paunel B. Agyei, Shamik Bhattacharyya   +39 more
wiley   +1 more source

Retracted: Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Interleukin‐6 as a Key Biomarker in Facioscapulohumeral Dystrophy: Evidence From Longitudinal Analyses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy type 1 (FSHD1) is a progressive neuromuscular disorder with no approved treatments. Identifying reliable biomarkers is critical to monitor disease severity, activity, and progression. Interleukin‐6 (IL‐6) has been proposed as a candidate biomarker, but longitudinal validation is limited ...
Jonathan Pini, Emanuela Martinuzzi, Sandra Dhifallah, Abderhmane Slioui, Angela Puma, Luisa Villa, Michele Cavalli, Andra Ezaru, Jérémy Garcia, Manuela Gambella, Federico Torre, Luca Jacopo Pavan, Nicolas Glaichenhaus, Sabrina Sacconi   +13 more
wiley   +1 more source

Precision requirements and data compression in CryoEM/CryoET. [PDF]

J Struct Biol, 2022
Fluty AC, Ludtke SJ.
europepmc   +1 more source