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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

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
Nancy Liu Metro Toronto Convention Centre Threedify Inc Newsfile Corp World Premier Mineral Exploration Mining Convention Prospectors Developers Association Of Canada Convention

"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 cardinalit...
Genetic Algorithm Feature Extraction Feature Selection Genetic Algorithm
Source: uow.edu.au

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Modelling of autogenerative high-pressure anaerobic digestion in a batch reactor for the production of pressurised biogas | Biotechnology for Biofuels and Bioproducts

Pressurised anaerobic digestion allows the production of biogas with a high content of methane and, at the same time, avoid the energy costs for the biogas upgrading and injection into the distribution grid. The technology carries potential, but the research faces practical constraints by a.o. the capital investment needed in high-pressure reactors and sensors and associated sampling limitations. In this work, the kinetic model of an autogenerative high-pressure anaerobic digestion of acetate, a...
European Committee Of Standardization European Union European Committee Genetic Algorithm Anaerobic Digestion Model

Frontiers | Molecular Docking and Dynamics Studies to Explore Effective Inhibitory Peptides Against the Spike Receptor Binding Domain of SARS-CoV-2

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a pandemic due to the high transmission and mortality rate of this virus. The world health and economic sectors have been severely affected by this deadly virus, exacerbated by the lack of sufficient efficient vaccines. The design of effective drug candidates and their rapid development is necessary to combat this virus. In this study, we selected 23 antimicrobial peptides from the literature and predicted thei...
Saudi Arabia United States San Diego J Neuroimmune Pharmacol Albiol Matanic Dermatophagoides Pteronyssinus

"Ensemble learning for remaining fatigue life prediction of structures " by S. Z. Feng, X. Han et al.

An effective approach is proposed to predict the remaining fatigue life (RFL) of structures with stochastic parameters. The extended finite element method (XFEM) was firstly used to produce a large amount of datasets associated with structural responses and RFL. Then, a RFL prediction model was developed using the ensemble learning algorithm, which employed multiple machine-learning algorithms to learn useful degradation patterns of the structures from the XFEM datasets. Several numerical exampl...
Ensemble Learning Genetic Algorithm Emaining Fatigue Life Tochastic Parameters
Source: uow.edu.au

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