Abstract: Multiunit activity (MUA) has been proposed to mitigate the robustness issue faced by single-unit activity (SUA)-based brain-machine interfaces (BMIs). Most MUA-based BMIs still employ a ...

Control of metabolic syndrome (MS) is still a major challenge for patients suffering from Non-communicable diseases (NCDs) in Bangladesh. In this study, the status of MS control was determined, and ...

Floods are among the most destructive natural hazards, particularly in regions with complex terrain and hydrology, where they cause substantial environmental, social, and economic losses. Reliable ...

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Abstract: Grant-Free Non-Orthogonal Multiple Access (GF-NOMA) is considered as a promising technology to support the massive connectivity of Machine-Type Communications (MTC). The design of efficient ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

In the midst of epidemics such as COVID-19, therapeutic candidates are unlikely to be able to complete the usual multiyear clinical trial and regulatory approval process within the course of an ...

Returning to academia was also personal. Introduced to Bhaktee Dongaonkar by Kavita Vemuri, he began a PhD in Cognitive ...

Combining various data sources and other types of information is becoming increasingly important in various types of analyses. Certain classes of Bayesian hierarchical models have shown to be ...

Somewhere between 2% and 19% of the genetic ancestry carried by present-day West African populations traces back to an ...