4,898 Result(s)
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Probabilistic load forecasting based on quantile regression parallel CNN and BiGRU networks
In the dynamic smart grid landscape, accurate probabilistic forecasting of electric load is critical. This paper presents a novel 24-hour-ahead probabilistic load forecasting model by integrating quantile regr...
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Open AccessA human-in-the-loop method for pulmonary nodule detection in CT scans
Automated pulmonary nodule detection using computed tomography scans is vital in the early diagnosis of lung cancer. Although extensive well-performed methods have been proposed for this task, they suffer from...
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Open AccessFrom single to universal: tiny lesion detection in medical imaging
Accurate and automatic detection of tiny lesions in medical imaging plays a critical role in comprehensive cancer diagnosis, staging, treatment, follow-up, and prognosis. Numerous deep learning (DL) based stud...
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A Novel Convolutional Neural Network for Head Detection and Pose Estimation in Complex Environments from Single-Depth Images
Computer vision based on neural networks is an important part of modern cognitive research. As important applications, head detection and pose estimation have made breakthrough progress in recent years. Compar...
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Linear complexity of two classes of quaternary sequences based on sign alternation transformation
Two classes of optimal quaternary sequences have been constructed by applying the sign alternation transform and Gray map** to Legendre sequence pair, twin-prime sequence pair and GMW sequence pair. In this ...
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Improving graph collaborative filtering with view explorer for social recommendation
Social recommender systems (SRS) have garnered adequate attention due to the supplementary information provided by social network, which aids in making recommendations. However, social network information cont...
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An adaptive boundary-based selection many-objective evolutionary algorithm with density estimation
Many-objective evolutionary algorithms often struggle to strike a balance between convergence and diversity when solving many-objective optimization problems. Consequently, an adaptive boundary-based selection...
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Simulating Bluetooth virus propagation on the real map via infectious attenuation algorithm and discrete dynamical system
In recent years, mobile smart devices have gained popularity globally due to their convenience and efficiency. However, this popularity has also attracted the attention of virus creators, resulting in a signif...
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Open AccessShell stand: Stable thin shell models for 3D fabrication
A thin shell model refers to a surface or structure, where the object’s thickness is considered negligible. In the context of 3D printing, thin shell models are characterized by having lightweight, hollow stru...
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Evolutionary spiking neural networks: a survey
Spiking neural networks (SNNs) are gaining increasing attention as potential computationally efficient alternatives to traditional artificial neural networks (ANNs). However, the unique information propagation...
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Open AccessNoise4Denoise: Leveraging noise for unsupervised point cloud denoising
Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth labels. However, in practice, it is not always feasible to obtai...
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Multi-label semantic sharing based on graph convolutional network for image-to-text retrieval
Cross-modal hashing has attracted widespread attention due to its ability to reduce the complexity of storage and retrieval. However, many existing methods use a symbolic function to map hash codes, which lead...
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Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs
Nowadays, the abuse of deepfakes is a well-known issue since deepfakes can lead to severe security and privacy problems. And this situation is getting worse, as attackers are no longer limited to unimodal deep...
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DEAR: a novel deep-level semantics feature reinforce framework for Infrared Small Object Segmentation
Infrared Small Object Segmentation (ISOS) faces challenges in isolating small and faint objects from infrared images due to their limited texture details and small spatial presence. Existing deep learning meth...
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GPDF-Net: geometric prior-guided stereo matching with disparity fusion refinement
Stereo matching is a popular topic in the image processing and computer vision fields. Although deep learning-based stereo matching approaches have achieved remarkable performance with respect to both estimati...
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Improving graph-based recommendation with unraveled graph learning
Graph Collaborative Filtering (GraphCF) has emerged as a promising approach in recommendation systems, leveraging the inferential power of Graph Neural Networks. Furthermore, the integration of contrastive lea...
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Learning Generalizable Mixed-Precision Quantization via Attribution Imitation
In this paper, we propose a generalizable mixed-precision quantization (GMPQ) method for efficient inference. Conventional methods require the consistency of datasets for bitwidth search and model deployment t...
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Retraction Note: Reality of virtual damage identification based on neural networks and vibration analysis of a damaged bridge under a moving vehicle
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Retraction Note: Lip segmentation using localized active contour model with automatic initial contour
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Open AccessDepthGAN: GAN-based depth generation from semantic layouts
Existing GAN-based generative methods are typically used for semantic image synthesis. We pose the question of whether GAN-based architectures can generate plausible depth maps and find that existing methods h...
