Results 41 to 50 of about 3,751 (165)

Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices

, 2015
Smart devices with built-in sensors, computational capabilities, and network connectivity have become increasingly pervasive. The crowds of smart devices offer opportunities to collectively sense and perform computing tasks in an unprecedented scale ...
Belkin, Mikhail, Champion, Adam, Chen, Guoxing, Hamm, Jihun, Xuan, Dong   +4 more
core   +1 more source

A Framework for Subgroup Dynamics Through the System Dynamics Lens: An Integrative Review of the Attribute and the Network Views

Journal of Organizational Behavior, EarlyView.
ABSTRACT Subgroups are dynamic entities evolving constantly in response to changing contexts and time. Although scholars from both the attribute and the network views have acknowledged that subgroups are inherently complex and fluid, research in these traditions has remained bifurcated, with limited efforts to integrate the two perspectives to more ...
Jinhee Moon, Chunghyun Oh, Chou‐Yu Tsai, Semin Park   +3 more
wiley   +1 more source

Function Approximation Using Probabilistic Fuzzy Systems [PDF]

, 2011
We consider function approximation by fuzzy systems. Fuzzy systems are typically used for approximating deterministic functions, in which the stochastic uncertainty is ignored.
Almeida e Santos Nogueira, R.J. (Rui Jorge), Berg, J.H. (Jan) van den, Kaymak, U. (Uzay)   +2 more
core   +1 more source

Periodic Scenario Trees: A Novel Framework for Robust Periodic Invariance and Stabilization of Constrained Uncertain Linear Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This work proposes a new framework for stabilizing uncertain linear systems and for determining robust periodic invariant sets and their associated control laws for constrained uncertain linear systems. Necessary and sufficient conditions for stabilizability by periodic controllers are stated and proven using finite step Lyapunov functions for
Yehia Abdelsalam, Sankaranarayanan Subramanian, Sebastian Engell   +2 more
wiley   +1 more source

Empirical models, rules, and optimization [PDF]

This paper considers supply decisions by firms in a dynamic setting with adjustment costs and compares the behavior of an optimal control model to that of a rule-based system which relaxes the assumption that agents are explicit optimizers.
Cattaneo, Andrea, Robinson, Sherman
core  

AI‐assisted automated endpoint interpretation for turbidity‐based digital LAMP using bright‐field microscopy

VIEW, EarlyView.
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen, Yiliang Bao, Yue Wang, Kaixuan Guo, Meimei Zeng, Yan Deng, Song Li, Yuan Guo   +7 more
wiley   +1 more source

Workshop on Fuzzy Control Systems and Space Station Applications [PDF]

The Workshop on Fuzzy Control Systems and Space Station Applications was held on 14-15 Nov. 1990. The workshop was co-sponsored by McDonnell Douglas Space Systems Company and NASA Ames Research Center.
Aisawa, E. K., Faltisco, R. M.
core   +1 more source

Coarse‐Grained Molecular Dynamics Simulations of Oxidative Aging and Stabilization in Polymer Melts With Primary Antioxidants: Effects of Antioxidant Concentration and Molecular Architecture

Journal of Vinyl and Additive Technology, EarlyView.
Antioxidant type and concentration govern both the rate and spatial heterogeneity of oxidative aging in polymer melts. Higher antioxidant‐group concentration prolongs the induction and reaction time scales, while the BHT‐type antioxidant provides stronger and more homogeneous stabilization than the Irganox1010‐type antioxidant because of its more ...
Takato Ishida, Emmanuel Richaud
wiley   +1 more source

Financial Markets Analysis by Probabilistic Fuzzy Modelling [PDF]

For successful trading in financial markets, it is important to develop financial models where one can identify different states of the market for modifying one???s actions.
Berg, J. van den, Bergh, W.M. van den, Kaymak, U.   +2 more
core   +1 more source

Informative Path Planning for Active Field Mapping under Localization Uncertainty

, 2019
Information gathering algorithms play a key role in unlocking the potential of robots for efficient data collection in a wide range of applications. However, most existing strategies neglect the fundamental problem of the robot pose uncertainty, which is
Chung, Jen Jen, Nieto, Juan, Popovic, Marija, Siegwart, Roland, Vidal-Calleja, Teresa   +4 more
core   +1 more source