Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Sivanagaraja Tatinati"'
Autor:
Yubo Wang, Sivanagaraja Tatinati, Kabita Adhikari, Liyu Huang, Kianoush Nazarpour, Wei Tech Ang, Kalyana C. Veluvolu
Publikováno v:
IEEE Access, Vol 6, Pp 42216-42226 (2018)
Digital filters are employed in hand-held robotic instruments to separate the concomitant involuntary physiological tremor motion from the desired motion of micro-surgeons. Inherent phase-lag in digital filters induces phase distortion (time-lag/dela
Externí odkaz:
https://doaj.org/article/dd9c20853cfd4d53b04dfd769f06073a
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
We propose a hybrid method for forecasting the wind speed. The wind speed data is first decomposed into intrinsic mode functions (IMFs) with empirical mode decomposition. Based on the partial autocorrelation factor of the individual IMFs, adaptive me
Externí odkaz:
https://doaj.org/article/3e09275a050d40df8f368a1148179e37
Publikováno v:
In Applied Soft Computing Journal October 2020 95
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:7019-7029
Despite having plethora of works, wind speed time-series forecasting capabilities are prone to errors due to its intermittent and non-stationary nature as well as the limited generalization capabilities of forecasting methods for non-Gaussian distrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0993a27eacd50b08f326229ad49e94b2
https://doi.org/10.1109/tii.2020.3043451
https://doi.org/10.1109/tii.2020.3043451
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 19:497-509
All existing physiological tremor filtering algorithms, developed for robotic microsurgery, use nonlinear phase prefilters to isolate the tremor signal. Such filters cause phase distortion to the filtered tremor signal and limit the filtering accurac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c72313d966dac44a7fe7c80c067ea267
https://doi.org/10.1109/tase.2020.3041427
https://doi.org/10.1109/tase.2020.3041427
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29:3604-3616
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c4b22b557a9d032a6d2801491b530c3
https://doi.org/10.1109/taslp.2021.3126937
https://doi.org/10.1109/taslp.2021.3126937
Publikováno v:
IEEE Transactions on Learning Technologies. 13:790-803
Activity-centric data gather feedback on students’ learning to enhance learning effectiveness. The heterogeneity and multigranularity of such data require existing data models to perform complex on-the-fly computation when responding to queries of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb7dbb0ceed1dc490da048aae7b36134
https://doi.org/10.1109/tlt.2020.3027441
https://doi.org/10.1109/tlt.2020.3027441
Grade prediction from multi-valued click-stream traces via Bayesian-regularized deep neural networks
Learning activities that have been designed linearly in small private online courses and thematic massive open online courses often result in learners undergoing similar learning journeys. While most learners perform activities leading to similar cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c59e4dd09caf87a8344e405149278824
https://hdl.handle.net/10356/159723
https://hdl.handle.net/10356/159723
Publikováno v:
TALE
Dropout prediction is an important task due to the high attrition rate commonly found on the massive open online course (MOOC) platforms. Performing accurate prediction leading to timely intervention is therefore important to reduce attrition. To add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bbf713d3fcfeb7026bf4b3b3fa5d3dc
https://doi.org/10.1109/tale48869.2020.9368317
https://doi.org/10.1109/tale48869.2020.9368317
Publikováno v:
IJCNN
Automatic question generation (QG) has found applications in the education sector and to enhance human-machine interactions in chatbots. Existing neural QG models can be categorized into answer-unaware and answer-aware models. One of the main challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc72337b416dc70fb395324f160b833b
https://doi.org/10.1109/ijcnn48605.2020.9207643
https://doi.org/10.1109/ijcnn48605.2020.9207643