Results 151 to 160 of about 9,789 (258)
ABSTRACT We perform bibliometric analysis on documents for 255 Regulatory Impact Analyzes (RIAs) prepared by the US Environmental Protection Agency (EPA) from 1980 through 2024. Using a series of automated information extraction methods, we extract references from these documents and match them to bibliographic records.
Tyler A. Scott, Sojeong Kim, Liza Wood
wiley +1 more source
Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]
Qi L, Lv C, Zhang T, Wang Y.
europepmc +1 more source
ABSTRACT The rapid adoption of artificial intelligence (AI) introduces significant uncertainty regarding its future applications and potential risks. What is the preferred regulatory approach when confronted with such uncertainty? To cope with uncertainty, people often screen information in a biased way, consistent with their own prior beliefs and ...
Esther Versluis +2 more
wiley +1 more source
In-situ efficiency and parameter estimation for induction motors using heuristic optimization. [PDF]
Göztaş M, Sahman MA, Çunkaş M.
europepmc +1 more source
Re‐Imagining Regulatory Governance
ABSTRACT This paper invites the readers to rethink regulatory governance by examining how trust‐based and rule‐based governance interact. To do this, it uses analytical narratives of three fictional polities: “Trustland”, “Regland”, and “Concordia”. Each polity represents a stylized model of governance: Trustland is anchored in trust‐based governance ...
David Levi‐Faur
wiley +1 more source
Enhanced Philoponella Prominens Optimization (EESPPO) Algorithm Integrated with Experience Exchange Strategy for Global Optimization and Engineering Design Problems. [PDF]
Yan Z, Yu Y, Cao Y, Gao J.
europepmc +1 more source
A Comprehensive Review of Metaheuristic Algorithms for Node Placement in UAV Communication Networks. [PDF]
Temesheva SA +7 more
europepmc +1 more source
Preference‐Based Representations for Collective Agency
Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir +2 more
wiley +1 more source
MPPT algorithms for grid-connected solar systems including deep learning approaches. [PDF]
Değermenci M, Yalman Y, Olcay K.
europepmc +1 more source
Non-uniform cosine modulated filter banks using meta-heuristic algorithms in CSD space. [PDF]
Kalathil S, Elias E.
europepmc +1 more source

