Results 141 to 150 of about 599,650 (333)

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Estimation and forecasting of the inflation, interest,literacy and unemployment rate of Pakistan using nonlinear regression models [PDF]

, 2021
A A Ghoto
openalex   +1 more source

Design of Active Fault-Tolerant Control System for Air-Fuel Ratio control of Internal Combustion engine using nonlinear regression-based observer model. [PDF]

PLoS One, 2022
Alsuwian T, Amin AA, Iqbal MS, Qadir MB, Almasabi S, Jalalah M.   +5 more
europepmc   +1 more source

Nonlinear Cointegrating Regression under Weak Identification [PDF]

An asymptotic theory is developed for a weakly identified cointegrating regression model in which the regressor is a nonlinear transformation of an integrated process.
Peter C. B. Phillips, Xiaoxia Shi
core  

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Variable Selection for Nonlinear Cox Regression Model via Deep Learning

, 2022
Kexuan Li
openalex   +2 more sources

A novel perspective for parameter estimation of seemingly unrelated nonlinear regression. [PDF]

J Appl Stat, 2021
Türkşen Ö.
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Fuzzy Weighted Least Squares Support Vector Regression with Data Reduction for Nonlinear System Modeling [PDF]

, 2018
Xiaoyong Liu, Aijia Ouyang, Zhonghua Yun
openalex   +1 more source