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Prospectors & Developers Association of Canada (PDAC): ThreeDify Inc.: Visit us at PDAC 2022 Convention in Toronto this June at Booth 612 - Vimarsana News

Prospectors & Developers Association of Canada (PDAC): ThreeDify Inc.: Visit us at PDAC 2022 Convention in Toronto this June at Booth 612

Ottawa, Ontario--(Newsfile Corp. - June 9, 2022) - ThreeDify Inc. invites you to visit them at Booth #612 at The Prospectors & Developers Association of Canada Convention (PDAC) at the Metro Toronto Convention

Candente Engages Whittle Consulting | MarketScreener - Vimarsana News

Candente Engages Whittle Consulting | MarketScreener

VANCOUVER, British Columbia, June 09, 2022 -- Candente Copper Corp. is pleased to announce that Whittle Consulting Ltd has been engaged to conduct an Enterprise Optimization of the... | June 9, 2022

Argonne and Parallel Works win highest honor from Federal Laboratory Consortium for Excellence in Technology Transfer - Vimarsana News

Argonne and Parallel Works win highest honor from Federal Laboratory Consortium for Excellence in Technology Transfer

Argonne National Laboratory and Parallel Works, Inc., won the 2022 Federal Laboratory Consortium’s (FLC) National Award for Excellence in Technology Transfer

Argonne and Parallel Works win highest honor from Federal Laboratory Consortium for Excellence in Technology Transfer - Vimarsana News

Argonne and Parallel Works win highest honor from Federal Laboratory Consortium for Excellence in Technology Transfer

Argonne National Laboratory and Parallel Works, Inc., won the 2022 Federal Laboratory Consortium’s (FLC) National Award for Excellence in Technology Transfer

"Human Activity Recognition Based on Wavelet-Based Features along with " by Mahmudul Hasan Abid, Abdullah Al Nahid et al. - Vimarsana News

"Human Activity Recognition Based on Wavelet-Based Features along with " by Mahmudul Hasan Abid, Abdullah Al Nahid et al.

Activity recognition from human action data is quite a challenging task in the biomedical data science community. The main challenge in dealing with human activity recognition (HAR) datasets is their high cardinality. Therefore, reducing cardinality is a cardinal area of research in the HAR field. In this research, reducing the data dimensionality by utilizing future selection methods has been used. This research work has extracted features using wavelet packet transform (WPT) and the cardinality of the feature set has been reduced by using the Genetic Algorithm (GA) technique. The selected fe...

Source: uow.edu.au