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Postdoctoral Research Fellowship in Machine Learning - University of Michigan, Ann Arbor, MI, United States

Job: Postdoctoral Research Fellowship in Machine Learning - University of Michigan Ann Arbor, MI, United States

United statesAnn arborGreat lakesThomasd wangWang laboratoryPostdoctoral research fellowship in machineRogel comprehensive cancer centerUniversity of michiganWang labResearch computingUniversity hospitalMichigan institute for data sciencesBiomedical science research buildingMarvin pollard collegiate professor of endoscopy researchPostdoctoral research fellowshipRegression tree

Postdoctoral Research Fellowship in Machine Learning - University of Michigan, Ann Arbor, MI, United States

Job: Postdoctoral Research Fellowship in Machine Learning - University of Michigan Ann Arbor, MI, United States

United statesAnn arborGreat lakesThomasd wangUniversity hospitalMichigan institute for data sciencesWang labUniversity of michiganPostdoctoral research fellowship in machineWang laboratoryMarvin pollard collegiate professor of endoscopy researchBiomedical science research buildingRogel comprehensive cancer centerResearch computingPostdoctoral research fellowshipRegression tree

A new framework integrating reinforcement learning, a rule-based exper by Xinlei Zhou, Han Du et al

This study presents a new framework that integrates machine learning and a domain knowledge-based expert system to improve building energy flexibility. In this framework, a rule-based expert system was used to maximize the self-consumption of solar photovoltaics (PV) power, while a reinforcement learning (RL) agent was constructed to efficiently optimize the grid power import for battery charging and facilitate decision-making for battery discharging in response to the time of use electricity prices. Meanwhile, a Classification and Regression Tree (CART) model was developed to quantitatively analyze the relationships between building energy flexibility and external variables of interest to enhance the explainability of the framework. This work integrates the advantages of safety and simpleness of the domain knowledge-based expert system and the exploration and optimization capability of RL into building energy management. The performance of the proposed framework was evaluated using th

Regression treeBuilding energy flexibilityNet zero energy buildingReinforcement learningRule based expert system

New Risk Management Study Findings Recently Were Published by Researchers at ADVANCE (The Role of Emotions and Knowledge on Preference for Uncertainty: Follow Your Heart but Listen to Your Brain!): Insurance – Risk Management

New Risk Management Study Findings Recently Were Published by Researchers at ADVANCE (The Role of Emotions and Knowledge on Preference for Uncertainty: Follow Your Heart but Listen to Your Brain!): Insurance – Risk Management
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Tania saraivaTiago cruz goncalvesBusiness schoolInsurance dailyReporter staff news editorRegression treeYour heart

Study: One out of three Canadians experienced severe loneliness in the second wave of COVID-19

Pandemic-induced public health measures, such as social distancing and stay-at-home orders, while successful in decreasing the transmission of COVID-19, could exacerbate pre-existing mental health challenges, including loneliness, one of the major public health concerns in pre-pandemic times.

Lamson lin shenEmily hendersonBehavioural sciencesUniversity of toronto factorCanadian perspective survey seriesAffective disordersCity universityHong kongFactor inwentash facultyRegression treeAssistant professorCovid 19Machine learningMental healthPublic health