6,514 Result(s)
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**ya Lu
Artificial Intelligence
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Article
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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Article
Unsupervised domain adaptation via feature transfer learning based on elastic embedding
Supervised classification algorithms usually require a large quantity of well-labeled samples for training to achieve satisfied performance. Nevertheless, it is prohibitively difficult to create such datasets ...
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Article
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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Article
Glass Sponge-inspired Auxetic Mechanical Metamaterials for Energy Absorption
The Auxetic Structure (AS) exhibits significant densification strain due to its concave cell architecture, functioning as an effective energy-absorbing metamaterial. However, its limited plateau stress hampers...
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Article
A novel abstractive summarization model based on topic-aware and contrastive learning
The majority of abstractive summarization models are designed based on the Sequence-to-Sequence(Seq2Seq) architecture. These models are able to capture syntactic and contextual information between words. Howev...
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A heuristic approach for bike-sharing system rebalancing problem with multiple time windows
In urban environments, the bicycle-sharing system (BSS) has emerged as a vital complement to public transportation, effectively bridging gaps in urban mobility. The successful operation of these systems is con...
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Article
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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Optimization of UAV base station placement for D2D content delivery network
In a device-to-device content delivery network (D2D-CDN), user equipment (UE) covered by a base station can forward content received from the base station to other uncovered UEs in a multi-hop manner to increa...
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Multidta: drug-target binding affinity prediction via representation learning and graph convolutional neural networks
The prediction of Drug-Target Interactions (DTI) plays a pivotal role in drug repositioning research. While recent years have witnessed the proliferation of neural network-based methods for Drug-Target Affinit...
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Article
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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Article
Remote assessment of Parkinson’s disease symptom severity based on group interaction feature assistance
Telemonitoring is an effective way to assess the severity of Parkinson's disease (PD). Due to heterogeneity and small sample sizes, the multi-task learning is applied to build the specific model for PD patient...
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Article
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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Article
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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Article
Open AccessA survey on deep clustering: from the prior perspective
Facilitated by the powerful feature extraction ability of neural networks, deep clustering has achieved great success in analyzing high-dimensional and complex real-world data. The performance of deep clusteri...
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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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Article
Open AccessHybrid Nonlinear Model Predictive Motion Control of a Heavy-duty Bionic Caterpillar-like Robot
This paper investigates the motion control of the heavy-duty Bionic Caterpillar-like Robot (BCR) for the maintenance of the China Fusion Engineering Test Reactor (CFETR). Initially, a comprehensive nonlinear m...
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Article
Research on load excitation identification method of multi-connected air conditioning compressor based on RBF network with multi-strategy fusion SSA
The load excitation of the multi-connected air conditioning compressor is the major source of vibration in the entire air conditioning pipeline system, which imposes a direct impact on the vibration noise and ...
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Article
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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Article
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...
