Results 31 to 40 of about 3,329 (203)
The compression–error trade-off for large gridded data sets [PDF]
The netCDF-4 format is widely used for large gridded scientific data sets and includes several compression methods: lossy linear scaling and the non-lossy deflate and shuffle algorithms.
J. D. Silver, C. S. Zender
doaj +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Two‐Dimensional Isotropic Spatial Differentiation Through Complete Polarization Control
This work enables two‐dimensional isotropic spatial differentiation at planar interfaces over a wide range of incident angles by extending the output polarization from linear to elliptical. The choice of incident angle can be used to balance broader spectral response at low angles and higher edge‐detection efficiency at larger angles.
Doyoon Lee, Minkyung Kim
wiley +1 more source
A Logarithmic Compression Method for Magnitude-Rich Data: The LPPIE Approach
This study introduces Logarithmic Positional Partition Interval Encoding (LPPIE), a novel lossless compression methodology employing iterative logarithmic transformations to drastically reduce data size.
Vasileios Alevizos +5 more
doaj +1 more source
Lossless Compression of Volumetric Medical Data [PDF]
Medical imaging applications produce large sets of similar images. Thus a compression technique is useful to reduce space storage. Lossless compression methods are necessary in such critical applications. Volumetric medical data presents strong similarity between successive frames.
Samy Ait-Aoudia +2 more
openaire +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images
Lossless compression of remote sensing images is critically important for minimizing storage requirements while preserving the complete integrity of the data.
Enjia Gu +3 more
doaj +1 more source
In this paper, we propose a new framework for reversible data hiding in encrypted images, where both the hiding capacity and lossless compression efficiency are flexibly controlled.
Ryota Motomura +2 more
doaj +1 more source
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He +4 more
wiley +1 more source
Since lossless compression can only achieve two to four times data compression, it may not be efficient to deploy lossless compression in bandwidth constrained applications. Instead, it would be more economical to adopt perceptually lossless compression,
Chiman Kwan +5 more
doaj +1 more source

