Results 211 to 220 of about 1,814,994 (315)
This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito +11 more
wiley +1 more source
Adaptive querying for reward learning from human feedback. [PDF]
Anand Y +4 more
europepmc +1 more source
Visionary Leadership in Cancer Care: An Interview With Professor Timothy J. Eberlein
Professor Timothy J. Eberlein and Professor Ken Shirabe, President of the Japanese Society of Gastroenterological Surgery, during their interview discussing the vision, strategic framework, and leadership that shaped the development of the Siteman Cancer Center into a world‐class institution. ABSTRACT This is a short interview with Professor Timothy J.
Ken Shirabe +3 more
wiley +1 more source
A Framework for Budget-Constrained Zero-Day Cyber Threat Mitigation: A Knowledge-Guided Reinforcement Learning Approach. [PDF]
Basak M, Shin GY.
europepmc +1 more source
UNH Graduate Students Pitch In On State Budget Analysis [PDF]
Wright, Lori
core +1 more source
A multiscale Bayesian optimization framework for process and material codesign
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley +1 more source
State budget deficit as a leading indicator of state budget security
Nataliya Shykina, Anna Sirenko
openaire +1 more source
Modelling the evolution of the European high-speed rail infrastructure network. [PDF]
Borgogno F +3 more
europepmc +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
A trust‐region funnel algorithm for gray‐box optimization
Abstract Gray‐box optimization, where parts of optimization problems are represented by algebraic models while others are treated as black‐box models lacking analytic derivatives, remains a challenge. Trust‐region (TR) methods provide a robust framework for gray‐box problems through local reduced models (RMs) for black‐box components, but they are ...
Gul Hameed +4 more
wiley +1 more source

