Abstract: This paper presents a new supervised method for segmentation of blood vessels in retinal photographs. This method uses an ensemble system of bagged and boosted decision trees and utilizes a ...
Abstract: Metaverse is a vast virtual environment parallel to the physical world in which users enjoy a variety of services acting as an avatar. To build a secure living habitat, it’s vital to ensure ...
Abstract: Soft wearable robots are good alternatives to rigid-frame exoskeletons because they are compact and lightweight. This article describes a soft wearable hand robot called the Exo-Glove that ...
Abstract: Generative adversarial networks (GANs) provide a way to learn deep representations without extensively annotated training data. They achieve this by deriving backpropagation signals through ...
Abstract: Successful new product development advocates for collaboration among different institutions in which technology transfer dispute widely exists. Although several studies have discussed ...
Abstract: In underwater acoustic detection using towed arrays, the in-band radiation noise of the tow-ship generates significant interference. In this article, a high-resolution spatial filter based ...
Abstract: In this article, we research a multiperiod two-echelon inventory control problem for omnichannel retailing [i.e., online channel, offline channel, and buy-online-and-pick-up-in-store (BOPS) ...
2025 International Conference On Rehabilitation Robotics (ICORR) Location: Chicago, IL, USA 2023 International Conference on Rehabilitation Robotics (ICORR) Location: Singapore, Singapore 2022 ...
More Attention and Less Repetitive and Stereotyped Behaviors using a Robot with Children with Autism
Abstract: The aim of the present study was to assess the usefulness of QTrobot, a socially assistive robot, in interventions with children with autism spectrum disorder (ASD) by assessing children's ...
Abstract: A reasonable assessment of combat systems-of-systems (CSoS) resilience is of great value to the improvement and optimization of the CSoS structure, to improve weapon construction efficiency, ...
Nowadays, data-driven learning based deep neural network (DNN) is the most dominant SOTA image dehazing framework. Here, learning to perfectly simulate the underlying mapping rules (from hazy to clear ...
Abstract: In this article, a zero-voltage switching (ZVS) series-series compensated wireless power transfer (WPT) converter with phase shift modulation is proposed, which can realize output current ...
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