86 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Probability and Statistics in Computer Science
**li Meng
-
Article
Retraction Note: Quality assessment for virtual reality technology based on real scene
-
Article
Open AccessMCAD: Multi-classification anomaly detection with relational knowledge distillation
With the wide application of deep learning in anomaly detection (AD), industrial vision AD has achieved remarkable success. However, current AD usually focuses on anomaly localization and rarely investigates a...
-
Article
Open AccessEfficient image restoration with style-guided context cluster and interaction
Recently, convolutional neural networks (CNNs) and vision transformers (ViTs) have emerged as powerful tools for image restoration (IR). Nonetheless, they encountered some limitations due to their characterist...
-
Article
A metaheuristic-based algorithm for optimizing node deployment in wireless sensor network
Communication quality is compromised when wireless sensor network (WSN) operate in harsh environments, which can be improved by supplementing the nodes. This paper proposes a deployment strategy to optimize th...
-
Article
IRNet-RS: image retargeting network via relative saliency
Image retargeting (IR) aims to fit different display terminals by changing the image aspect ratio while retaining its important content. The IR methods utilize a saliency map to predict the importance of pixel...
-
Article
Computer-aided digital media art creation based on artificial intelligence
Driven by information technology, artificial intelligence (AI) has gradually become an important symbol of modern society. In digital media art creation, AI has unique advantages and can help artists create be...
-
Article
Data-Driven full waveform inversion for ultrasonic bone quantitative imaging
Full waveform inversion (FWI) has potential for quantitative ultrasound bone imaging, which can provide detailed estimation of bone internal structure. The existing ultrasound FWI methods suffer from cycle ski...
-
Article
MapReduce-based distributed tensor clustering algorithm
Cluster analysis is one of the most fundamental methods in data mining, and it has been widely used in economics, social sciences and computer science. However, with the rapid development of Internet technolog...
-
Article
Geometric-driven structure recovery from a single omnidirectional image based on planar depth map learning
Scene structure recovery is a crucial process for assisting scene reconstruction and understanding by extracting vital scene structure information and has been widely used in smart city, VR/AR and intelligent ...
-
Article
An adaptive grey wolf optimization with differential evolution operator for solving the discount {0–1} knapsack problem
The discount {0–1} knapsack problem (D {0–1} KP) is a new variant of the knapsack problem. It is an NP-hard problem and also a binary optimization problem. As a new intelligent algorithm that imitates the lead...
-
Article
Testing a constant mean function using functional regression
In this paper, we study functional ordinary least squares estimator and its properties in testing the hypothesis of a constant zero mean function or an unknown constant nonzero mean function. We exploit the re...
-
Article
FDDN: frequency-guided network for single image dehazing
Haze appearing in natural scene images generally contains nonhomogeneous characteristics such as filaments, masses, and mist. The high-frequency part of hazy images contains variable background textures and ha...
-
Article
An enhanced data-driven framework for early kick detection based on imbalanced multivariate time series classification
Early kick detection (EKD) is viewed as an effective way to prevent blowouts in the drilling industry. Data-driven EKD methods are increasingly attracting interests from both academia and industry. However, th...
-
Article
EduNER: a Chinese named entity recognition dataset for education research
A high-quality domain-oriented dataset is crucial for the domain-specific named entity recognition (NER) task. In this study, we introduce a novel education-oriented Chinese NER dataset (EduNER). To provide re...
-
Article
Dependency-enhanced graph convolutional networks for aspect-based sentiment analysis
Aspect-based sentiment analysis aims to extract aspect and opinion terms, and identify the sentiment polarities for such terms. The majority of research has proposed effective methods in individual subtasks, a...
-
Article
Finite-time anti-synchronization and fixed-time quasi-anti-synchronization for complex-valued neural networks with time-varying delay and application
In this article, the issue of the finite-time anti-synchronization and fixed-time quasi-anti-synchronization for complex-valued neural networks with time-varying delays and leakage delay is explored. First of ...
-
Article
Analysis and design of dual-feature fusion neural network for sports injury estimation model
High-level athletes participate in various events that need extreme fitness and stamina. Usually, after competitions, the athletes take part in systematic physical fitness and specialized skills training. The ...
-
Article
Special issue on neural computing and applications 2020
-
Article
RHL-track: visual object tracking based on recurrent historical localization
Visual object tracking (VOT) is a fundamental and complex problem in computer vision field. In the past few years, the research focus has been shifted from template matching to deep learning models. Especially...
-
Article
An adaptive multi-class imbalanced classification framework based on ensemble methods and deep network
Data imbalance is one of the most difficult problems in machine learning. The improved ensemble learning model is a promising solution to mitigate this challenge. In this paper, an improved multi-class imbalan...
