Gender differences in performance-driven managerial innovation: evidence from US nursing homes
Sign Up to like & getrecommendations! Published in 2021 at "International Public Management Journal"
DOI: 10.1080/10967494.2021.1941454
Abstract: The management literature has highlighted the role of a manager’s gender in adopting and practicing managerial innovation. The conditions that affect female (or male) managers’ decision making on i... read more here.
Keywords: gender differences; innovation; driven managerial; differences performance ... See more keywords
Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3078432
Abstract: Fast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable—and often prohibitive—CPU cost of massive full-wave electromagnetic (EM)… read more here.
Keywords: performance; connected regression; fully connected; performance driven ... See more keywords
Performance-Driven Time-Adaptive Stochastic Unit Commitment Based on Neural Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2024.3460424
Abstract: The low-efficiency and power imbalance risk have challenged the aging fixed time resolution scheduling, especially when facing largely penetrated renewable energies. Time-adaptive unit commitment (T-UC) is recently advanced to solve the issues. However, existing T-UC… read more here.
Keywords: unit commitment; time; performance driven; time adaptive ... See more keywords
A Performance-Driven Exploration of Combining Topic Modeling and Machine Learning for Online Learning Data Analysis
Sign Up to like & getrecommendations! Published in 2025 at "TEM Journal"
DOI: 10.18421/tem141-46
Abstract: The research aims to determine how well three clustering algorithms K-Means, hierarchical, and ensemble clustering work when combined with sophisticated topic modeling methods such as latent Dirichlet allocation (LDA), or nonnegative matrix factorization (NMF), and… read more here.
Keywords: online learning; performance driven; analysis; topic modeling ... See more keywords