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Predicting the impacts of land management for sustainable development on depression risk in a Ugandan case study | Scientific Reports – Nature.com

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United States , United Kingdom , Rio De Janeiro , Estado Do Rio , New York , Masindi District , Chapman Hall , City Of , Nordrhein Westfalen , Budongo Forest Reserve , Uganda General , Susan Lajiki , Monte Carlo , Eugene Kinyanda , Aidan Keane , Caroline Asiimwe , Thomas Pienkowski , Joseph Rushenjule , Moses Musiimenta , Vabi Vamuloh , Gilbert Guzaarwa , Liberty Anichan , American Psychiatric Association , Agenda For Sustainable Development , Parkes Foundation Small Grant Fund , Jane Goodall Institute ,

Bayesian ML Models at Scale with AWS Batch

Bayesian ML Models at Scale with AWS Batch
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Daniel Gerlanc , Brandon Willard , Monte Carlo , Jeffrey Enos , Senior Machine Learning Engineer , Senior Director , Data Science , Ampersand Data Science , Hidden Markov Model , Markov Chain Monte Carlo , Short Youtube ,

WSU Fulbright awardees bound for Hungary to teach, research – WSU Insider

Math major Annie Lu and staff member Amethyst Freibott have received Fulbright awards to research and teach in Hungary. ....

Monte Carlo , Coahuila De Zaragoza , United States , Ping Song , Deer Park , Dominican Republic , Liangde Lu , Garrett Kalt , Annie Lu , April Seehafer , Washington State University , Scholarships Program , Institute Of Mathematics , Honors College , A National Merit Scholar , Opportunity Fund , Office Of Admissions , Amethyst Freibott , Distinguished Scholarships Program , Fulbright English Teaching Assistant , Educate United States , Political Science , Markov Chain Monte Carlo , Istvan Mikos , National Merit Scholar ,

Understanding hot-spot conditions in experiments at National Ignition Facility

Understanding hot-spot conditions in experiments at National Ignition Facility
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Ryan Nora , Alex Zylstra , Monte Carlo , Lawrence Livermore National Laboratory , National Ignition Facility , Ignition Facility , Prav Patel , Omar Hurricane , Markov Chain Monte Carlo ,

"Learning Algorithms for Complete Targets Coverage in RF-Energy Harvest" by Chuyu Li, Kwan Wu Chin et al.

Internet of Things (IoTs) networks are responsible for monitoring an environment or targets such as vehicles. A key issue is determining the active time of a set of sensor nodes, so called set cover, that monitors all targets. This requires battery level knowledge at sensor nodes as an incorrect active time may cause energy outage, leading to uncovered target(s). However, in practice, it is impractical to obtain this information, especially in large-scale networks. To this end, we present a number of approaches to construct set covers. We first propose a Two-Phase Algorithm (TPA) that requires sensor nodes to first determine their probability of being active in each time slot. This information is then used by the HAP to construct set covers. We then introduce learning approaches based on Gibbs and Thompson sampling. The Gibbs sampling based algorithm or GB allows a sink/gateway to learn the best set cover to use over time. Similarly, our Thompson sampling solutions, namely TS-Random an ....

Two Phase Algorithm , Causal Energy Arrivals , Energy Harvesting , Markov Chain Monte Carlo , Onitoring Static Targets , Radio Frequency , F Charging , Temperature Measurement , Temperature Sensors ,