Results 131 to 140 of about 725,754 (336)

Re: Markov-modellering [PDF]

Tidsskrift for Den norske legeforening, 2015
Torbjørn Wisløff, Bjarne Robberstad
openaire   +3 more sources

Averaging in Markov Models with Fast Markov Switches and Applications to Queueing Models

Annals of Operations Research, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Bayesian Nonparametric Hidden Semi-Markov Models

, 2012
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data.
Johnson, Matthew J., Willsky, Alan S.
core  

Multiple Unmanned Aerial Vehicle Formation Control through Deep Reinforcement Learning with Offline Sample Correction

Advanced Intelligent Systems, EarlyView.
Herein, a deep reinforcement learning‐based multi‐UAV formation control approach is proposed. By optimizing the utilization of historical data through correcting of offline samples, the past experience is better leveraged and learning performance is improved.
Zhongkai Chen, Han Zhou, Chao Yan, Yihao Sun, Xiaojia Xiang   +4 more
wiley   +1 more source

Conformational Quenching in an Engineered Lipocalin Protein Achieves High Affinity Binding to the Toxin Colchicine

Angewandte Chemie, EarlyView.
Specific high affinity recognition of colchicine by an engineered anticalin involves loop dynamics and conformational selection Abstract The engineered lipocalin Colchicalin binds the clinically relevant plant toxin colchicine with picomolar affinity.
Mark J. Bostock, Christopher Kolloff, Elena Jerschke, Sam Asami, Arne Skerra, Simon Olsson, Michael Sattler   +6 more
wiley   +2 more sources

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control

Advanced Intelligent Systems, EarlyView.
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao, Ruixue Xu, Wujun Zhao, Xi‐Ming Sun, Yu Sun, Changsheng Dai   +5 more
wiley   +1 more source

Large Language Model‐Embedded Intelligent Robotic Scrub Nurse with Multimodal Input for Enhancing Surgeon–Robot Interaction

Advanced Intelligent Systems, EarlyView.
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng, Wanyu Ma, Pheng Ann Heng, Philip Wai Yan Chiu, Zheng Li   +4 more
wiley   +1 more source

A MARKOV CHAIN MODEL FOR THE PROBABILITY OF PRECIPITATION OCCURRENCE IN INTERVALS OF VARIOUS LENGTH

, 1963
James E. Caskey
openalex   +1 more source

On a Class of Semi-Markov Risk Models Obtained as Classical Risk Models in a Markovian Environment [PDF]

, 1984
Jean-Marie Reinhard
openalex   +1 more source