10,277 Result(s)
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Article
Open AccessFormal design, verification and implementation of robotic controller software via RoboChart and RoboTool
Current practice in simulation and implementation of robot controllers is usually undertaken with guidance from high-level design diagrams and pseudocode. Thus, no rigorous connection between the design and th...
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Article
Failure modes determination and load-bearing capacity evaluation of concrete columns under seismic loads by ANNs
The failure modes of concrete columns can be applied to judge the ductility of concrete columns under seismic loads. In addition, the load-bearing capacity of concrete columns was an important parameter in eva...
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LSRN-AED: lightweight super-resolution network based on asymmetric encoder–decoder
Due to limited memory and computing resources, the application of deep neural networks on embedded and mobile devices is still a great challenge. To tackle this problem, this paper proposes a lightweight super...
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MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photographs, affecting the photographs’ visual quality. The main challenge in flare removal is to elimi...
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Some Novel Correlation Coefficients of Probabilistic Dual Hesitant Fuzzy Sets and their Application to Multi-Attribute Decision-Making
This paper aims to propose a novel correlation coefficient (CC) that is more realistic in a probabilistic dual hesitant fuzzy (PDHF) setting. As is well known, CC is a very useful tool for measuring the correl...
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Towards effective urban region-of-interest demand modeling via graph representation learning
Identifying the region’s functionalities and what the specific Point-of-Interest (POI) needs is essential for effective urban planning. However, due to the diversified and ambiguity nature of urban regions, th...
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Retraction Note: Fast and robust absolute camera pose estimation with known focal length
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Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification
In general, it is a worth challenging problem to build a robust classifier for data sets with noises or outliers. Establishing a robust classifier is a more difficult problem for datasets with asymmetric noise...
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Open AccessDHR+S: distributed hybrid rendering with realistic real-time shadows for interactive thin client metaverse and game applications
Distributed hybrid rendering (DHR) is a real-time rendering approach that incorporates cloud-based ray tracing with locally rasterized graphics for interactive thin client metaverse and game applications. With...
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Refined tri-directional path tracing with generated light portal
The rendering efficiency of Monte Carlo path tracing often depends on the ease of path construction. For scenes with particularly complex visibility, e.g. where the camera and light sources are placed in separ...
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Multi-target regression via stochastic configuration networks with modular stacked structure
Multi-target regression (MTR) has been widely studied in data analytics and its main challenge is to jointly model the input-output relationships and the intrinsic inter-target correlations. As a novel learner...
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Multi-task recommendation based on dynamic knowledge graph
Introducing knowledge graphs into recommender systems effectively solves sparsity and cold start problems. However, existing KG recommendation methods such as MKR mostly rely on static knowledge graphs, ignori...
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Preference detection of the humanoid robot face based on EEG and eye movement
The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection belongs to a branch of emotion recognition that has received mu...
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Sub-region aware retrieval-based network with multimodal prior knowledge guidance for microvascular invasion prediction in PET/CT imaging
Accurate preoperative microvascular invasion (MVI) prediction using PET/CT imaging is important for guiding surgical plans and treatment strategies for hepatocellular carcinoma (HCC) patients. Deep learning (D...
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DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network
The ever-increasing layers and hyper-parameters of deep neural network are continuously growing to generate large-scale network by training huge masses of data. However, it is difficult to deploy deep neural n...
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A dynamic spectrum access algorithm based on deep reinforcement learning with novel multi-vehicle reward functions in cognitive vehicular networks
As a revolution in the field of transportation, the demand for communication of vehicles is increasing. Therefore, how to improve the success rate of vehicle spectrum access has become a major problem to be so...
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UTMGAT: a unified transformer with memory encoder and graph attention networks for multidomain dialogue state tracking
Spoken dialogue systems (SDS) heavily rely on dialogue state tracking (DST) for success. However, providing sufficient computational power for training proves challenging, given that DST involves tracking stat...
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Open AccessAnalysis of Emotional Tendency of Tourism Consumers Based on LSTM and Fuzzy Control Algorithm
Learning the emotional tendency of travelers improves their interests and provide optimal traveling recommendations. This, however, requires large volumes of data such as travel plans, visit sites, personal in...
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An interpretable hypersphere information granule-based classifier for numeric data using axiomatic fuzzy set
The interpretability of classifiers focused on numerical data continues to pose significant challenges. This paper introduces an interpretable classifier rooted in axiomatic fuzzy set (AFS) theory and granular...
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Article
Learning Temporal Variations for 4D Point Cloud Segmentation
LiDAR-based 3D scene perception is a fundamental and important task for autonomous driving. Most state-of-the-art methods on LiDAR-based 3D recognition tasks focus on single-frame 3D point cloud data, ignoring...
