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SCI Abstract
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Vahagn: VisuAl Haptic Attention Gate Net for slip detection
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Real-time location of acupuncture points based on anatomical landmarks and pose estimation models
1 Introduction Acupuncture is an ancient medical technique is a practice with roots extending back thousands of years. I...
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Real-time fault detection for IIoT facilities using GA-Att-LSTM based on edge-cloud collaboration
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UnionCAM: enhancing CNN interpretability through denoising, weighted fusion, and selective high-quality class activation mapping
1 Introduction Deep learning models have revolutionized various domains, such as computer vision, natural language proces...
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Multimodal fusion-powered English speaking robot
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Learning-based object's stiffness and shape estimation with confidence level in multi-fingered hand grasping
1 Introduction Human beings possess a remarkable capacity to discern physical characteristics of grasped objects, such as...
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ISFM-SLAM: dynamic visual SLAM with instance segmentation and feature matching
Simultaneous Localization and Mapping (SLAM) is a technology that enables robots to determine their location and construct...
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Multimodal robot-assisted English writing guidance and error correction with reinforcement learning
1 Introduction In the current field of natural language processing, English Text Generation technology is becoming increa...
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MusicARLtrans Net: a multimodal agent interactive music education system driven via reinforcement learning
1 Introduction The technology of music voice recognition holds extensive application potential not only in areas such as ...
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A multimodal travel route recommendation system leveraging visual Transformers and self-attention mechanisms
1 Introduction In recent years, with the improvement of living standards and the increasing demand for travel, efficientl...
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Immersive interfaces for clinical applications: current status and future perspective
1 Introduction Digital immersive technologies have attracted considerable interest in the landscape of biomedical resear...
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EEG-based action anticipation in human-robot interaction: a comparative pilot study
1 Introduction The ubiquity and omnipresence of technology in modern life has raised the necessity in understanding how h...
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Posture-invariant myoelectric control with self-calibrating random forests
1 Introduction Myoelectric control has emerged as a promising approach in human-machine interfaces. By recognizing differ...
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Unmanned aerial vehicles for human detection and recognition using neural-network model
1 Introduction Recognizing human actions from drone-captured video is a challenging task that requires processing visual...
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An improved graph factorization machine based on solving unbalanced game perception
1 Introduction Mobile games gained a large share of global business, especially during the COVID-induced dead season for...
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3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal
1 Introduction Brain-Computer Interfaces (BCIs) enable direct connection between a user and a machine by translating bra...
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Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns
1 Introduction The task of segmenting color patterns in ancient architectural images is crucial for the preservation, res...
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Edge-guided feature fusion network for RGB-T salient object detection
1 Introduction Salient object detection (SOD) aims to find the most noticeable area or target in an image, and has develo...
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EEG-powered cerebral transformer for athletic performance
1 Introduction The growing need for advanced athletic performance analysis has led to increased interest in leveraging El...
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Player detection method based on scale attention and scale equalization algorithm
IntroductionObject detection methods for team ball games players often struggle due to their reliance on dataset scale sta...
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Mobip: a lightweight model for driving perception using MobileNet
The visual perception model is critical to autonomous driving systems. It provides the information necessary for self-driv...
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Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring
Health monitoring is a critical aspect of personalized healthcare, enabling early detection, and intervention for various ...
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Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
The human factor plays a key role in the automotive field since most accidents are due to drivers' unsafe and risky be...
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A visual questioning answering approach to enhance robot localization in indoor environments
Navigating robots with precision in complex environments remains a significant challenge. In this article, we present an i...
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Social robots as effective language tutors for children: empirical evidence from neuroscience
The aim of the current study was to investigate children's brain responses to robot-assisted language learning. EEG br...
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Editorial: Women in neurorobotics
Understanding the neural mechanisms of empathy toward robots to shape future applications: This article, authored by Jenna...
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Research on system of ultra-flat carrying robot based on improved PSO algorithm
Ultra-flat carrying robots (UCR) are used to carry soft targets for functional safety road tests of intelligent driving ve...
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Voting based double-weighted deterministic extreme learning machine model and its application
This study introduces an intelligent learning model for classification tasks, termed the voting-based Double Pseudo-invers...
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Editorial: Brain-inspired navigation and sensing for robots
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