Results 41 to 50 of about 14,076 (173)
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source
Exploring the Use and Impact of Composite Materials in Robotics: A Systematic Review
ABSTRACT Lightweight and high‐strength materials are important in robotics, as structural design impacts efficiency, payload capacity, and energy consumption. Composite materials, with their superior stiffness‐to‐weight ratios and multifunctional properties, offer clear advantages over conventional metals and polymers.
Doglas Negri +4 more
wiley +1 more source
Flattening Energy Puddles for Enhanced Charge Transport in Wrinkled WSe2
Strain‐inducing wrinkles in 1L‐WSe2 create carrier‐trapping energy puddles. Trioctylphosphine selenide (TOPSe) selectively passivates Se vacancies at these wrinkle sites, while steric hindrance suppresses basal‐plane reaction. Comprehensive suite of space‐resolved spectroscopic techniques reveals reduced nonradiative recombination, longer exciton ...
Dae Young Park +20 more
wiley +1 more source
This chapter describes the different mechatronic programmes of the last 20 years in the University of Twente.
openaire +2 more sources
Heating and cooling energy demand account for nearly half of the global energy consumption. SH and RC offer sustainable, zero‐energy strategies, but single‐mode devices lack adaptability. 3D dual‐mode devices, exploiting axial, flipping, and bending deformations, provide reversible switching with dynamic or passive control, representing a promising ...
Su Eon Lee +5 more
wiley +1 more source
AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer
ABSTRACT Offline reinforcement learning (RL) is a paradigm that seeks to train policies directly based on fixed datasets derived from previous interactions with the environment. However, offline RL faces critical challenges in environments characterised by sparse rewards and datasets dominated by suboptimal trajectories.
Jiaye Wei +4 more
wiley +1 more source
Digital Systems Teaching and Research (DSTR) Robot: A Flexible Platform for Education and Applied Research [PDF]
The DSTR (pronounced “Disaster”) robot has a strong history of being adaptable to different user’s needs, and there are many opportunities ahead that indicate that the sky, quite literally, is not the limit for this robust platform. This paper provides a
Coffelt, Jeremy P. +2 more
core +1 more source
ABSTRACT We investigate the effect of ethnic diversity on occupational choices, particularly in care‐oriented occupations which are scarce in many high‐income countries. We use administrative data of all students in Switzerland to study two diversity dimensions: ethnic fractionalization and ethnic polarization.
Damiano Pregaldini +2 more
wiley +1 more source
Continuous time controller based on SMC and disturbance observer for piezoelectric actuators [PDF]
– In this work, analog application for the Sliding Mode Control (SMC) to piezoelectric actuators (PEA) is presented. DSP application of the algorithm suffers from ADC and DAC conversions and mainly faces limitations in sampling time interval.
Sabanovic, Asif +2 more
core
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain +2 more
wiley +1 more source

