Results 71 to 80 of about 82,972,811 (208)

randPedPCA: rapid approximation of principal components from large pedigrees

Genetics Selection Evolution
Background Pedigrees continue to be extremely important in agriculture and conservation genetics, with the pedigrees of modern breeding programmes easily comprising millions of records.
Hanbin Lee, Rosalind Françoise Craddock, Gregor Gorjanc, Hannes Becher   +3 more
doaj   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Modified method large sparse unstructured matrices processing on reconfigurable computing systems

Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie)
При обработке матриц большой размерности c нерегулярной структурой реальная производительность кластерных многопроцессорных вычислительных систем (МВС) невелика и даже с применением специальных методов обработки не превышает 30%. Для эффективной обработки больших матриц с нерегулярной структурой возможно использовать реконфигурируемые вычислительные ...
openaire   +1 more source

Iterative thresholding for sparse approximations [PDF]

, 2008
Sparse signal expansions represent or approximate a signal using a small number of elements from a large collection of elementary waveforms. Finding the optimal sparse expansion is known to be NP hard in general and non-optimal strategies such as ...
Blumensath, T., Davies, Mike E., Blumensath, Thomas, Davies, Michael; id_orcid   +3 more
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Collocation method for solving fractional reaction–diffusion problem arising in chemistry

Scientific Reports
In this study, a numerical approach was developed to approximate the solution of the Caputo-type fractional reaction–diffusion problem. In the proposed method, the Caputo fractional derivative and the integer derivatives of the equation are obtained ...
Jalil Rashidinia, Arefeh Momeni
doaj   +1 more source

A sparse matrix approach to reverse mode automatic differentiation in Matlab [PDF]

, 2010
We review the extended Jacobian approach to automatic di erentiation of a user- supplied function and highlight the Schur complement form's forward and reverse variants.
Sharma, Naveen Kr., Sharma, Naveen K., Forth, Shaun A., Naveen Kr. Sharma, Shaun A. Forth   +4 more
core   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

An innovative graph polynomial numerical strategy for the time-fractional Kuramoto-Sivashinsky model based on the complete bipartite graph's independence polynomials

Journal of Computational Algebra
The time-fractional Kuramoto-Sivashinsky equation (TF-K-SE) models chaotic dynamics with memory effects, necessitating advanced computational techniques for stability and accuracy.
A.N. Nirmala, S. Kumbinarasaiah
doaj   +1 more source

Monte Carlo methods for adaptive sparse approximations of time-series

, 2007
This paper deals with adaptive sparse approximations of time-series. The work is based on a Bayesian specification of the shift-invariant sparse coding model.
Michael E. Davies, Davies, Mike E., Blumensath, Thomas, Thomas Blumensath   +3 more
core   +1 more source