Results 41 to 50 of about 12,139 (206)

Tensor Decompositions for Modeling Inverse Dynamics

, 2017
Modeling inverse dynamics is crucial for accurate feedforward robot control. The model computes the necessary joint torques, to perform a desired movement.
Baier, Stephan, Tresp, Volker
core   +1 more source

Remembering Forward: Neural Correlates of Memory and Prediction in Human Motor Adaptation [PDF]

, 2012
We used functional MR imaging (FMRI), a robotic manipulandum and systems identification techniques to examine neural correlates of predictive compensation for spring-like loads during goal-directed wrist movements in neurologically-intact humans ...
Houk, James, Mosier, Kristine M., Salowitz, Nicole M.G., Scheidt, Robert A., Simo, Lucia, Suminski, Aaron J., Zimbelman, Janice   +6 more
core   +2 more sources

Artificial Neural Network and Regression Models for Predicting Intrusion of Non-Reacting Gases into Production Pipelines

Energies, 2022
Wax deposition and gelation of waxy crude oil in production pipelines are detrimental to crude oil transportation from offshore fields. A waxy crude oil forms intra-gel voids in pipelines under cooling mode, particularly below the pour point temperature.
Girma Tadesse Chala, Berihun Mamo Negash
doaj   +1 more source

Sparse Volterra and Polynomial Regression Models: Recoverability and Estimation

, 2011
Volterra and polynomial regression models play a major role in nonlinear system identification and inference tasks. Exciting applications ranging from neuroscience to genome-wide association analysis build on these models with the additional requirement ...
Giannakis, Georgios B., Kekatos, Vassilis   +1 more
core   +1 more source

A literature survey of low-rank tensor approximation techniques [PDF]

, 2013
During the last years, low-rank tensor approximation has been established as a new tool in scientific computing to address large-scale linear and multilinear algebra problems, which would be intractable by classical techniques.
Grasedyck, Lars, Kressner, Daniel, Tobler, Christine   +2 more
core   +1 more source

Amine‐Triggered Azabenz‐Annulation of Cyclic Secondary Amine‐Functionalized Perylene Diimides for Dual‐Mode Sensing

Chemistry – A European Journal, EarlyView.
Pictet‐Spengler Intermediate of a cyclic secondary amine perylene diimide undergoing amine‐triggered conversion to azabenz‐annulated perylene diimide, inducing a high‐contrast green‐to‐yellow color change along with fluorescence turn‐on, demonstrating intuitive “safe” to “warning” dual‐mode sensing.
Irene E. Park, Alejandro J. Cuellar de Lucio, Gregory C. Welch   +2 more
wiley   +1 more source

Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Sensors, 2020
Local administrations are increasingly demanding real-time continuous monitoring of pollution in the sanitation system to improve and optimize its operation, to comply with EU environmental policies and to reach European Green Deal targets.
Daniel Carreres-Prieto, Juan T. García, Fernando Cerdán-Cartagena, Juan Suardiaz-Muro   +3 more
doaj   +1 more source

QSPR Study and Distance-Based New Topological Descriptors of Some Drugs Used in the COVID-19 Treatment

Journal of Mathematics, 2023
In chemistry and medical sciences, it is essential to study the chemical, biological, clinical, and therapeutic aspects of pharmaceuticals. To save time and money, mathematical chemistry focuses on topological indices used in quantitative structure ...
Vignesh Ravi, Natarajan Chidambaram, Özge Çolakoğlu, Hanan Ahmed, Subhasri Jaganathan, Jayasri Jaganathan   +5 more
doaj   +1 more source

Parameter Estimation from an Optimal Projection in a Local Environment

, 2008
The parameter fit from a model grid is limited by our capability to reduce the number of models, taking into account the number of parameters and the non linear variation of the models with the parameters.
A. Bijaoui, A. Recio-Blanco, Coryn A.L. Bailer-Jones, P. de Laverny   +3 more
core   +1 more source

Using generalized quantitative structure–property relationship (QSPR) models to predict host cell protein retention in ion‐exchange chromatography

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND Selecting an optimal chromatography resin during biopharmaceutical downstream process development is a great challenge. This is especially the case for recombinant subunit vaccines, where product properties vary greatly and recovery often involves cell lysis, which yields a complex mixture of different host cell materials. Host cell
Tim Neijenhuis, Olivier Le Bussy, Geoffroy Geldhof, Marieke E Klijn, Marcel Ottens   +4 more
wiley   +1 more source