Results 161 to 170 of about 3,282,695 (356)

Stochastic modeling of long-legged ant A. gracilipes locomotion in laboratory experiments. [PDF]

PLoS Comput Biol
Featherstone J, Béraud A, Virant-Doberlet M, Celani A, Bandi MM.   +4 more
europepmc   +1 more source

Stochastic modeling and parameter estimation of turbogenerator unit of a thermal power plant under classical and Bayesian inferential framework. [PDF]

PLoS One, 2023
Kumar A, Chaudhary R, Kumar K, Saini M, Saini DK, Gupta P.   +5 more
europepmc   +1 more source

Object Oriented Modeling and Multistage Stochastic Programming

, 2003
In this research, we study the applicability of object-oriented modeling techniques to stochastic optimization. We propose a methodology that uses the UML to model stochastic optimization problems.
Robert Fourer, Leo Lopes
core  

Explorations in Stochastic Modeling - Fall 2024

Collection of final projects from ACMS40760 Introduction to Stochastic Modeling - Fall 2024, University of Notre ...
Daniele Schiavazzi (18548845)
core   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Financial data source preparation and analysis as the initial stage of stochastic time series modeling by machine learning techniques

Yurchenko Yuriy, Oleksandr Zakovorotnyi
openalex   +1 more source

Stage-specific evolutionary dynamics in pediatric leukemia inferred using Bayesian stochastic modeling. [PDF]

PLoS One
Kim SH.
europepmc   +1 more source

MoDLE: high-performance stochastic modeling of DNA loop extrusion interactions. [PDF]

Genome Biol, 2022
Rossini R, Kumar V, Mathelier A, Rognes T, Paulsen J.   +4 more
europepmc   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

kinGEMs: A robust and scalable framework for resource-constraint models through stochastic tuning of deep learning-predicted kinetic parameters

Rana Ahmed Barghout, Lya Chinas, Benjamín Sánchez-Lengeling, Radhakrishnan Mahadevan   +3 more
openalex   +1 more source