Results 21 to 30 of about 3,091,272 (307)
Recently, land cover change detection has become a research focus of remote sensing. To obtain the change information from remote sensing images at fine spatial and temporal resolutions, subpixel change detection is widely studied and applied.
Zhenxuan Li +5 more
doaj +1 more source
Seizure Detection: A Low Computational Effective Approach without Classification Methods
Epilepsy is a severe neurological disorder that is usually diagnosed by using an electroencephalogram (EEG). However, EEG signals are complex, nonlinear, and dynamic, thus generating large amounts of data polluted by many artefacts, lowering the signal ...
Neethu Sreenivasan +4 more
doaj +1 more source
Development of a Bayesian multimodal model to detect biomarkers in neuroimaging studies
In this article, we developed a Bayesian multimodal model to detect biomarkers (or neuromarkers) using resting-state functional and structural data while comparing a late-life depression group with a healthy control group.
Dulal K. Bhaumik +4 more
doaj +1 more source
Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling
This work presents a new resource for borrowing identification and analyzes the performance and errors of several models on this task. We introduce a new annotated corpus of Spanish newswire rich in unassimilated lexical borrowings -- words from one language that are introduced into another without orthographic adaptation -- and use it to evaluate how ...
Elena Álvarez Mellado +1 more
openaire +3 more sources
After the first detection of Middle East respiratory syndrome coronavirus (MERS-CoV) in camels in Jordan in 2013, we conducted 2 consecutive surveys in 2014–2015 and 2017–2018 investigating risk factors for MERS-CoV infection among camel populations in ...
Peter Holloway +12 more
doaj +1 more source
Unsupervised Domain Adaptation for SAR Target Detection
Recent years have witnessed great progress in synthetic aperture radar (SAR) target detection methods based on deep learning. However, these methods generally assume the training data and test data obey the same distribution, which does not always hold ...
Yu Shi, Lan Du, Yuchen Guo
doaj +1 more source
Borrow from Source Models: Efficient Infrared Object Detection with Limited Examples [PDF]
Recent deep models trained on large-scale RGB datasets lead to considerable achievements in visual detection tasks. However, the training examples are often limited for an infrared detection task, which may deteriorate the performance of deep detectors. In this paper, we propose a transfer approach, Source Model Guidance (SMG), where we leverage a high-
Ruimin Chen +4 more
openaire +2 more sources
Error Detection for Borrow-Save Adders Dedicated to ECC Unit [PDF]
Differential Fault Analysis (DFA) is a real threat for elliptic curve cryptosystems. This paper describes an elliptic curve cryptoprocessor unit resistant against fault injection. This resistance is provided by the use of parity preserving logic gates in the operating structure of the ECC unit, which is based on borrow-save adders.
Francq, Julien +4 more
openaire +3 more sources
Key Borrowers Detected by the Intensities of Their Short-Range Interactions [PDF]
The issue of systemic importance has received particular attention since the recent financial crisis when it came to the fore that an individual financial institution can disturb the whole financial system. Interconnectedness is considered as one of the key drivers of systemic importance.
Fuad Aleskerov +2 more
openaire +1 more source
LVMapper: A Large-Variance Clone Detector Using Sequencing Alignment Approach
To detect large-variance code clones (i.e. clones with many modifications) in large-scale code repositories is difficult because most current tools can only detect almost identical or very similar clones. It has an important impact on downstream software
Ming Wu +5 more
doaj +1 more source

