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Disturbance event triggered-model predictive tracking control for 4WIS–4WID mobile robot
Wheel-ground interactions during operation cause the robot to deviate from the reference trajectory, affecting the stability and safety of the robot....
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End-to-end semi-supervised approach with modulated object queries for table detection in documents
Table detection, a pivotal task in document analysis, aims to precisely recognize and locate tables within document images. Although deep learning...
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Enhanced speech emotion recognition using averaged valence arousal dominance map** and deep neural networks
This study delves into advancements in speech emotion recognition (SER) by establishing a novel approach for emotion map** and prediction using the...
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Smart contract vulnerabilities detection with bidirectional encoder representations from transformers and control flow graph
Up to now, the smart contract vulnerabilities detection methods based on sequence modal data and sequence models have been the most commonly used....
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Real-time and secure identity authentication transmission mechanism for artificial intelligence generated image content
The rapid development of generative artificial intelligence technology and large-scale pre-training models has led to the emergence of artificial...
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Signal processing implementation of low-cost target speed detection of CW radar using FPGA
The low-cost Continuous Wave (CW) radar architecture for object speed detection is presented in this research. An FPGA (Field-Programmable Gate...
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Intersecting realms: a cross-disciplinary examination of VR quality of experience research
The advent of virtual reality (VR) technology has necessitated a reevaluation of quality of experience (QoE) models. While numerous recent efforts...
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Continual learning approaches to hand–eye calibration in robots
This study addresses the problem of hand–eye calibration in robotic systems by develo** Continual Learning (CL)-based approaches. Traditionally,...
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Usability of visualizing position and orientation deviations for manual precise manipulation of objects in augmented reality
Manual precise manipulation of objects is an essential skill in everyday life, and Augmented Reality (AR) is increasingly being used to support such...
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Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
Food computing has emerged as a promising research field, employing artificial intelligence, deep learning, and data science methodologies to enhance...
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A novel single kernel parallel image encryption scheme based on a chaotic map
The development of communication technologies has increased concerns about data security, increasing the prominence of cryptography. Images are one...
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A robust method for malware analysis using stacking classifiers and dendrogram visualization
Malware analysis is a vital and challenging task in the ever-changing cyber threat landscape. Traditional signature-based methods cannot keep up with...
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TSDAnet: texture strip dual attention network for intraclass texture classification
Intraclass texture classification is a challenging task due to the high similarity between subtypes within the same texture. The presence of...
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MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction
The goal of this study is to reconstruct a high-quality computed tomography (CT) image from low-dose acquisition using an unrolling deep...
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Continual few-shot patch-based learning for anime-style colorization
The automatic colorization of anime line drawings is a challenging problem in production pipelines. Recent advances in deep neural networks have...
