Results 121 to 130 of about 150 (145)
Arthritis Care &Research, EarlyView.Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
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 +2 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
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Pattern Recognition, 2000
A robust optical character recognition (OCR) system has to be able to cope with slanted words. Such words may dramatically a!ect the performance of the segmentation algorithms. Even in cases where segmentation is not a prerequisite, the training procedure of the recognition module is more di$cult and complicated while attempting to cover slanted ...
Ergina Kavallieratou +2 more
exaly +2 more sources
A robust optical character recognition (OCR) system has to be able to cope with slanted words. Such words may dramatically a!ect the performance of the segmentation algorithms. Even in cases where segmentation is not a prerequisite, the training procedure of the recognition module is more di$cult and complicated while attempting to cover slanted ...
Ergina Kavallieratou +2 more
exaly +2 more sources
Projection Profile Based Algorithm for Slant Removal
Lecture Notes in Computer Science, 2004The slant is one of the main sources of handwritten text variability. The slant is the clockwise angle between the vertical direction and the vertical text strokes. A well formalised and fast method to estimate the slant angle is presented. The method is based on the observation that the columns distribution of the vertical projection profile presents ...
Alejandro Toselli +2 more
exaly +3 more sources
New algorithms for skewing correction and slant removal on word-level [OCR]
ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357), 2003The word preprocessing is a crucial stage of OCR systems. Here we present two algorithms appropriate for this stage. The first one corrects the skewing of words and the second removes the slant from handwritten words. Both algorithms make use of the Wigner-Ville distribution and the projection profile technique. The algorithms have been tested on words
Ergina Kavallieratou +2 more
openaire +2 more sources
Dispersive and Non-Dispersive Noise Removal by Local, Slant-Sum, Adaptive Filtering
Journal of Environmental & Engineering Geophysics, 2001This paper presents a new interactive procedure, Local Slant-Sum Adaptive Noise Removal (LSSANR), for attenuating linear, coherent, noise modes in the time-space domain. The procedure uses either a fixed or a sliding window to estimate noise wavelets and then subtracts the noise wavelets from the seismic traces on shot records.
Zhi-Ming Liu, Roger Adams Young
openaire +1 more source
A slant removal technique for document page
SPIE Proceedings, 2013The slant removal is a necessary preprocessing task in many document image processing systems. In this paper, we describe a technique for removing the slant from the entire page, avoiding the segmentation procedure. The presented technique could be combined with the most existed slant removal algorithms.
openaire +1 more source