Results 51 to 60 of about 15,386 (194)
This paper provides a novel method to improve the data storage of a quick response code (QR code) by applying encrypted lossless compression technology. QR codes are used in several domains, particularly when there is a need to transfer various types of ...
Ammar Mohammed Ali, Alaa Kadhim Farhan
doaj +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Improved intensity rounding and division near lossless image compression algorithm using delta encoding [PDF]
This paper presents RIFD-DLT, an advanced near-lossless image compression algorithm that combines Delta Encoding with the original rounding the intensity followed by division (RIFD) method.
Mahmoud Al Qerom
doaj +1 more source
The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) disseminates weather and climate-related satellite data to its users via satellite broadcast.
Anders Meier Soerensen, Stephan Zinke
doaj +1 more source
This study presents toroidal‐dipole (TD)‐driven polarisation‐selective quasi‐bound states in the continuum (quasi‐BICs) in all‐dielectric metasurfaces, enabling transverse magnetic (TM)‐selective excitation with ultrahigh quality factors and wide‐angle‐stable polarisation‐dependent near‐field imaging.
Xueheng Yan +5 more
wiley +1 more source
Hyperspectral Image Compression Using Vector Quantization, PCA and JPEG2000
Compression of hyperspectral imagery increases the efficiency of image storage and transmission. It is especially useful to alleviate congestion in the downlinks of planes and satellites, where these images are usually taken from.
Daniel Báscones +2 more
doaj +1 more source
Near-Lossless Deep Feature Compression for Collaborative Intelligence [PDF]
Collaborative intelligence is a new paradigm for efficient deployment of deep neural networks across the mobile-cloud infrastructure. By dividing the network between the mobile and the cloud, it is possible to distribute the computational workload such that the overall energy and/or latency of the system is minimized. However, this necessitates sending
Choi, Hyomin, Bajic, Ivan V.
openaire +2 more sources
This study objectively evaluated the impact of positioning aids on radiation dose and image quality (IQ) in paediatric image guided surgery (IGS) and the potential for dose optimised imaging via the choice of positioning aid type selected for clinical use.
Dalia Dinham +4 more
wiley +1 more source
Inverse Design of Mirror‐Symmetric Disordered Systems for Broadband Perfect Transmission
This work introduces an inverse design approach to achieve broadband perfect wave transmission in mirror‐symmetric disordered media. Leveraging symmetry simplifies optimization and enables control of multiple reflectionless states. Experiments in microwave waveguides confirm the design of exceptional points, bandpass filters, and broadband quasi ...
Zhazira Zhumabay +4 more
wiley +1 more source
Advances in Position‐Momentum Entanglement: A Versatile Tool for Quantum Technologies
Position–momentum entanglement constitutes a high‐dimensional continuous‐variable resource in quantum optics. Recent advances in its generation, characterization, and control are reviewed, with emphasis on spontaneous parametric down‐conversion and modern measurement techniques.
Satyajeet Patil +6 more
wiley +1 more source

