Learning personalized ADL recognition models from few raw data
Sign Up to like & getrecommendations! Published in 2020 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2020.101916
Abstract: Recognition of activities of daily living (ADL) is an essential component of assisted living systems based on actigraphy. This task can nowadays be performed by machine learning models which are able to automatically extract and… read more here.
Keywords: adl recognition; recognition models; personalized adl; recognition ... See more keywords
Maximizing citizen scientists’ contribution to automated species recognition
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1101/2022.02.17.480847
Abstract: Technological advances and data availability have enabled artificial intelligence-driven tools that can increasingly successfully assist in identifying species from images. Especially within citizen science, an emerging source of information filling the knowledge gaps needed to… read more here.
Keywords: recognition; species recognition; recognition models; scientists contribution ... See more keywords
Performance Evaluation of Action Recognition Models on Low Quality Videos
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204755
Abstract: In the design of action recognition models, the quality of videos is an important issue; however, the trade-off between the quality and performance is often ignored. In general, action recognition models are trained on high-quality… read more here.
Keywords: recognition models; action recognition; quality; performance ... See more keywords
Antimicrobial peptides recognition using weighted physicochemical property encoding.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of bioinformatics and computational biology"
DOI: 10.1142/s0219720023500063
Abstract: Antimicrobial resistance is a major public health concern. Antimicrobial peptides (AMPs) are one of the host defense mechanisms responding efficiently against multidrug-resistant microbes. Since the process of screening AMPs from a large number of peptides… read more here.
Keywords: recognition; recognition using; amps recognition; antimicrobial peptides ... See more keywords
SIFT Based Vein Recognition Models: Analysis and Improvement
Sign Up to like & getrecommendations! Published in 2017 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2017/2373818
Abstract: Scale-Invariant Feature Transform (SIFT) is being investigated more and more to realize a less-constrained hand vein recognition system. Contrast enhancement (CE), compensating for deficient dynamic range aspects, is a must for SIFT based framework to… read more here.
Keywords: sift based; sift; based vein; vein recognition ... See more keywords
Commentary on “Interaction in Spoken Word Recognition Models”
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2018.01568
Abstract: A commentary on Interaction in Spoken Word Recognition Models: Feedback Helps by Magnuson, J. S., Mirman, D., Luthra, S., Strauss, T., and Harris, H. D. (2018). Frontiers in Psycholy, 9:369. doi:10.3389/fpsyg.2018.00369 read more here.
Keywords: interaction spoken; recognition models; word recognition; commentary interaction ... See more keywords
The Development of Honey Recognition Models Based on the Association between ATR-IR Spectroscopy and Advanced Statistical Tools
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms23179977
Abstract: The newly developed prediction models, having the aim to classify Romanian honey samples by associating ATR-FTIR spectral data and the statistical method, PLS-DA, led to reliable differentiations among the samples, in terms of botanical and… read more here.
Keywords: honey; spectroscopy; honey recognition; development honey ... See more keywords