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3,325 Result(s)
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Open AccessTraining Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer
Modeling in computer vision has long been dominated by convolutional neural networks (CNNs). Recently, in light of the excellent performance of self-attention mechanism in the language field, transformers tail...
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Retraction Note: Module overlap** structure detection in PPI using an improved link similarity-based Markov clustering algorithm
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Retraction Note: An Improved dynamic self-adaption cuckoo search algorithm based on collaboration between subpopulations
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Retraction Note: System simulation of computer image recognition technology application by using improved neural network algorithm
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Retraction Note: Research on prediction of power market credit system based on linear model and improved BP neural network
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Open AccessGuiding the way: a comprehensive examination of AI guidelines in global media
With the increasing adoption of artificial intelligence (AI) technologies in the news industry, media organizations have begun publishing guidelines that aim to promote the responsible, ethical, and unbiased i...
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Open AccessEsophagogastroscopy for predicting endoscopic ultrasonography T-stage by utilizing deep learning methods in esophageal cancer
Endoscopic ultrasonography (EUS) is commonly utilized in preoperative staging of esophageal cancer, however with additional pain and cost as well as adverse events. Meanwhile, the accuracy of EUS is highly dep...
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Open AccessLearning to sculpt neural cityscapes
We introduce a system that learns to sculpt 3D models of massive urban environments. The majority of humans live their lives in urban environments, using detailed virtual models for applications as diverse as ...
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Erratum to: A Comprehensive Review: Recent Developments of Biomimetic Sensors
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Open AccessXK-III: A Spherical Robot with Redundant Degrees of Freedom
The spherical robot XK-III, designed with redundant degrees of freedom, addresses the limitations of existing pendulum spherical robot structures by enhancing mobility and environmental adaptability. A nonline...
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Open AccessExtract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that aggregate explicit social links have shown promising prospects, the...
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Open AccessMulti-Encoder Spatio-Temporal Feature Fusion Network for Electric Vehicle Charging Load Prediction
Electric vehicles (EVs) have been initiated as a preference for decarbonizing road transport. Accurate charging load prediction is essential for the construction of EV charging facilities systematically and fo...
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Open AccessAn agent-based persuasion model using emotion-driven concession and multi-objective optimization
Multi-attribute negotiation is essentially a multi-objective optimization (MOO) problem, where models of agent-based emotional persuasion (EP) can exhibit characteristics of anthropomorphism. This paper propos...
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Open AccessDepth-Enhanced Deep Learning Approach For Monocular Camera Based 3D Object Detection
Automatic 3D object detection using monocular cameras presents significant challenges in the context of autonomous driving. Precise labeling of 3D object scales requires accurate spatial information, which is ...
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Open AccessUsability 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 operations. In this study, we investigate whether detailed v...
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Open AccessAn uncertainty-aware domain adaptive semantic segmentation framework
Semantic segmentation is significant to realize the scene understanding of autonomous driving. Due to the lack of annotated real-world data, the technology of domain adaptation is applied so that the model is ...
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Open AccessReview of few-shot learning application in CSI human sensing
Wi-Fi sensing has garnered increasing interest for its significant advantages, primarily leveraging Wi-Fi signal fluctuations induced by human activities and advanced neural network algorithms. However, its ap...
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Open AccessPinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
Power load data frequently display outliers and an uneven distribution of noise. To tackle this issue, we present a forecasting model based on an improved extreme learning machine (ELM). Specifically, we intro...
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Retraction Note: Editorial: neural computing in next-generation virtual reality technology
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Correction: Learning sample-aware threshold for semi-supervised learning