Results 21 to 30 of about 12,931,660 (289)
On Artifacts in Limited Data Spherical Radon Transform: Curved Observation Surface [PDF]
, 2015 In this article, we consider the limited data problem for spherical mean transform. We characterize the generation and strength of the artifacts in a reconstruction formula.
Barannyk, Lyudmyla L. +2 more
core +2 more sources
Applied Sciences, 2020 A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification.
Angel David Pedroza +7 more
doaj +1 more source
Mathematics, 2022 Vibration signals collected in real industrial environments are usually limited and unlabeled. In this case, fault diagnosis methods based on deep learning tend to perform poorly. Previous work mainly used the unlabeled data of the same diagnostic object
Zitong Yan, Hongmei Liu
doaj +1 more source
Learning Adjustment Sets from Observational and Limited Experimental Data
, 2020 Estimating causal effects from observational data is not always possible due to confounding. Identifying a set of appropriate covariates (adjustment set) and adjusting for their influence can remove confounding bias; however, such a set is typically not ...
Cooper, Gregory, Triantafillou, Sofia
core +2 more sources
Mammography screening in Switzerland: limited evidence from limited data
Swiss Medical Weekly, 2004 In Switzerland controversy exists on how to summarise the evidence on the efficacy and effectiveness, as well as adverse effects, of mammography screening, and breast cancer mortality trends are often discussed in the context of the impact of mammography.
Zwahlen, M, Bopp, M, Probst-Hensch, N M
openaire +3 more sources
Journal of Flood Risk Management, 2021 This article verifies the applicability of an assessment method on flood risk reduction, combining and assessing hazard control measures and exposure reduction measures together. The method develops collated flood risk curves and uses limited data, so it
Osamu Itagaki +3 more
doaj +1 more source
Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design
IEEE Access, 2023 Recent advancements in developing pre-trained models using large-scale datasets have emphasized the importance of robust protocols to adapt them effectively to domain-specific data, especially when the available data is limited. To achieve data-efficient
S. Devi +4 more
doaj +1 more source
Bioengineering, 2023 Medical image segmentation is a vital healthcare endeavor requiring precise and efficient models for appropriate diagnosis and treatment. Vision transformer (ViT)-based segmentation models have shown great performance in accomplishing this task. However,
Numan Saeed +3 more
doaj +1 more source
Automatic Speech Disfluency Detection Using wav2vec2.0 for Different Languages with Variable Lengths
Applied Sciences, 2023 Speech is critical for interpersonal communication, but not everyone has fluent communication skills. Speech disfluency, including stuttering and interruptions, affects not only emotional expression but also clarity of expression for people who stutter ...
Jiajun Liu +3 more
doaj +1 more source
Deep Transfer Learning-Based Fault Diagnosis Using Wavelet Transform for Limited Data
Applied Sciences, 2022 Although various deep learning techniques have been proposed to diagnose industrial faults, it is still challenging to obtain sufficient training samples to build the fault diagnosis model in practice.
Junseong Bang +3 more
doaj +1 more source