Results 111 to 120 of about 1,156,733 (201)

Stochastic Invasion and Immune Feedback in a Tumor–Immune–IL-4 Model

open access: yesMathematics
Deterministic and stochastic models describing tumor–immune–cytokine interactions regulated by IL-4 are developed and analyzed. The deterministic system provides baseline tumor–immune dynamics, while a continuous-time Markov chain (CTMC) formulation is ...
Sophia R.-J. Jang, Ju-Yi Yen
doaj   +1 more source

A Stationary Stochastic Approximation Algorithm for Estimation in the GLMM

open access: yes, 2008
Estimation in generalized linear mixed models is challenging because the marginal likelihood is an integral without closed form. In many of the leading approaches such as Laplace approximation and Monte Carlo integration, the marginal likelihood is ...
Chang, Sheng-Mao
core  

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation

open access: yesComputational and Structural Biotechnology Journal
Cellular processes are intricately controlled through gene regulation, which is significantly influenced by intrinsic noise due to the small number of molecules involved. The Gillespie algorithm, a widely used stochastic simulation method, is pervasively
Seok Joo Chae   +4 more
doaj   +1 more source

STOCHASTIC APPROXIMATION FOR RELIABILITY PROBLEMS

open access: yes, 2020
: The article discusses the mathematical model for the stochastic approximation of reliability problems and an optimality system for the stochastic approximation plan given by M.T. Wasan.
Luca   +2 more
core  

An All‐Fabric Wearable System for Human‐Machine Interaction

open access: yesAdvanced Materials Technologies, EarlyView.
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane   +3 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

L1 Regularization for High-Dimensional Multivariate GARCH Models

open access: yesRisks
The complexity of estimating multivariate GARCH models increases significantly with the increase in the number of asset series. To address this issue, we propose a general regularization framework for high-dimensional GARCH models with BEKK ...
Sijie Yao, Hui Zou, Haipeng Xing
doaj   +1 more source

Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems

open access: yesAdvanced Robotics Research, EarlyView.
A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley   +1 more source

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