Results 91 to 100 of about 2,907,167 (317)

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

Advanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang, Zonghao Zuo, Haoxuan Wang, Bin Liu, Yilidusi Yilihamu, Li Wen   +5 more
wiley   +1 more source

A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP

Süleyman Demirel Üniversitesi Fen-Edebiyat Fakültesi Fen Dergisi, 2010
: Multinomial logistic (ML) and multinomial conditional logistic (MCL) regression models are used for modeling the relationships between a polytomous response variable and a set of explanatory variables.
Yüksel ÜNVAN, Gamze ÖZEL
doaj  

Gene Prediction Using Multinomial Probit Regression with Bayesian Gene Selection

EURASIP Journal on Advances in Signal Processing, 2004
A critical issue for the construction of genetic regulatory networks is the identification of network topology from data. In the context of deterministic and probabilistic Boolean networks, as well as their extension to multilevel quantization, this ...
Wang Xiaodong, Dougherty Edward R, Zhou Xiaobo   +2 more
doaj   +1 more source

Optimization of effective telephone contacts in collection management through a model of better call schedule, using multinomial regression | [Optimización de contactos telefónicos efectivos en gestión de cobranzas mediante un modelo de mejor horario de llamada, usando regresión multinomial]

Maskana, 2018
Call Centers represent worldwide a consolidated industry and one of its activities is the management of collections. The present work proposes a predictive statistical model to increase the probability of phone contactability in the collection management
Adriana Uquillas-Andrade, Andrés Carrera   +1 more
doaj   +1 more source

Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern Data

Journal of the American Statistical Association, 2020
We propose a new method for analysis of multivariate point pattern data observed in a heterogeneous environment and with complex intensity functions. We suggest semiparametric models for the intensity functions that depend on an unspecified factor common
Kristian Bjørn Hessellund, Ganggang Xu, Yongtao Guan, R. Waagepetersen   +3 more
semanticscholar   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

A generic nomogram for multinomial prediction models: theory and guidance for construction

Diagnostic and Prognostic Research, 2017
Background The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories.
Maarten van Smeden, Joris AH de Groot, Stavros Nikolakopoulos, Loes CM Bertens, Karel GM Moons, Johannes B. Reitsma   +5 more
doaj   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Performance Evaluation of A Three-Modality Biometric System using Multinomial Regression

Journal of Innovation Information Technology and Application
In this article, we explored key concepts related to technology and system efficiency. We have created an innovative biometric system that combines three modalities: fingerprint, facial recognition and voice recognition. This approach guarantees enhanced
Bopatriciat Boluma Mangata, Trésor Mazambi Kilongo, Pierre Tshibanda wa Tshibanda, Remy Mutapay Tshimona, Jean Pepe Buanga Mapetu, Eugène Mbuyi Mukendi   +5 more
doaj   +1 more source