378 Result(s)
within
Yu** Hao
Artificial Intelligence
-
Article
Open AccessA Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition
Meta-learning has proven to be a powerful paradigm for transferring knowledge from prior tasks to facilitate the quick learning of new tasks in automatic speech recognition. However, the differences between la...
-
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...
-
Article
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...
-
Article
Open AccessIntelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks
In the conceptual design stage of railway bridge, the beam type of the bridge at the main control point must be modified repeatedly to satisfy varying requirements. Thus, the demand for design efficiency is hi...
-
Article
Open AccessRlm-tracking: online multi-pedestrian tracking supported by relative location map**
The challenge of multi-object tracking stands as a fundamental focus in computer vision research, finding widespread applications in areas such as public safety, transportation, autonomous vehicles, robotics, ...
-
Article
Open AccessLarge-Kernel Attention for 3D Medical Image Segmentation
Automated segmentation of multiple organs and tumors from 3D medical images such as magnetic resonance imaging (MRI) and computed tomography (CT) scans using deep learning methods can aid in diagnosing and tre...
-
Article
Open AccessA survey on wind power forecasting with machine learning approaches
Wind power forecasting techniques have been well developed over the last half-century. There has been a large number of research literature as well as review analyses. Over the past 5 decades, considerable adv...
-
Article
Publisher Correction: FusionDeformer: text-guided mesh deformation using diffusion models
-
Article
Open AccessPorous interlocking assembly: performance-based dry masonry construction with digital stereotomy
Architected porosity in masonry structures can be created by transforming stock materials into a lattice of interlocking units through an automated batch process. Porous masonry forms numerous enclosed cavitie...
-
Article
Open AccessErratum to: Dynamic ocean inverse modeling based on differentiable rendering
The authors apologize for a hidden error in the article. It is that the images in Figs. 14(a) and 14(d) were mistakenly presented as left–right mirror images. The authors have flipped them to ensure that the f...
-
Article
Open AccessMulti-scale hash encoding based neural geometry representation
Recently, neural implicit function-based representation has attracted more and more attention, and has been widely used to represent surfaces using differentiable neural networks. However, surface reconstructi...
-
Article
Open AccessDelving into high-quality SVBRDF acquisition: A new setup and method
In this study, we present a new and innovative framework for acquiring high-quality SVBRDF maps. Our approach addresses the limitations of the current methods and proposes a new solution. The core of our metho...
-
Article
Open AccessCorrection: Optimization for industrial robot joint movement in non-horizontal 3D printing application
-
Article
Open AccessDC-Graph: a chunk optimization model based on document classification and graph learning
Existing machine reading comprehension methods use a fixed stride to chunk long texts, which leads to missing contextual information at the boundaries of the chunks and a lack of communication between the info...
-
Article
Open AccessTrust Improvement Consensus Model Considering Unreliability Degree of Opinions with Hesitant Fuzzy Sets
Trust is a crucial element in the consensus decision-making process, as it significantly impacts a group’s capacity to achieve consensus. Nevertheless, low trust by experts may result in detrimental decision-m...
-
Article
Open AccessRobotics in the Construction Sector: Trends, Advances, and Challenges
Construction robots employ cutting-edge technology to perform tasks more accurately than traditional construction workers, producing higher-quality results and fewer mistakes. Moreover, although construction r...
-
Article
Open AccessOptimization for industrial robot joint movement in non-horizontal 3D printing application
When a robot is printing a sequence of non-horizontal goal poses, its joint values often undergo significant variations, resulting in challenges such as singularities or exceeding joint limits. This paper prop...
-
Article
Open AccessDecoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph
Anomaly detection on attributed graphs is a crucial topic for practical applications. Existing methods suffer from semantic mixture and imbalance issue because they commonly optimize the model based on the los...
-
Article
Erratum to: Bio-inspired Filter Design Based on Vortex Control Mechanism of Parallel Groove Structure
-
Article
Open AccessTraffic forecasting on new roads using spatial contrastive pre-training (SCPT)
New roads are being constructed all the time. However, the capabilities of previous deep forecasting models to generalize to new roads not seen in the training data (unseen roads) are rarely explored. In this ...
