42 Result(s)
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Article
A multimodal attention-fusion convolutional neural network for automatic detection of sleep disorders
Sleep is essential for human physical and mental health. Sleep disorders are a significant threat to human health, and a large number of people in the world suffer from sleep disorders. Effective detection of ...
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Article
Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
In survival contexts, substantial literature exists on estimating optimal treatment regimes, where treatments are assigned based on personal characteristics to maximize the survival probability. These methods ...
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Chapter and Conference Paper
Aluminum Defect Detection Based on Weighted Feature Fusion Mechanism
In the detection of defects on the surface of aluminum materials, such as jet stream and scratch. These defects have the problem of background similarity of different sizes, which brings difficulties and chall...
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Chapter and Conference Paper
Training Methods of Innovative Talents in Medical Imaging Informatics Under the Background of New Engineering
It is crucial to cultivate the innovative ability of graduate students under the background of new engineering. In this article, we recommend training students’ innovative ability from three aspects. Firstly, ...
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Chapter and Conference Paper
Enhancing Database Principles Teaching with ChatGPT-Like Language Models
This paper introduces a cutting-edge framework for Database Principles teaching, leveraging a ChatGPT-like language model to enhance learning experiences. It surpasses traditional teaching methods by offering ...
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Chapter and Conference Paper
Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction
Visual question answer (VQA) grounding, aimed at locating the visual evidence associated with the answers while answering questions, has attracted increasing research interest. To locate the evidence, most exi...
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Chapter and Conference Paper
MS TextSpotter: An Intelligent Instance Segmentation Scheme for Semantic Scene Text Recognition in Asian Social Networks
Text detection and recognition in natural scenes is an im- important task in computer vision. However, most of the texts in natural scenes are curved, and the text background is complex and diverse. In recent ...
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Article
Multi-start local search algorithm based on a novel objective function for clustering analysis
Clustering is the process of partitioning data into different clusters with the goal of minimizing the difference of objects within each cluster, where the commonly used evaluation function is defined as the s...
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Article
A novel rule generation and activation method for extended belief rule-based system based on improved decision tree
Among many classifiers applied to classification problems, the extended belief rule-based (EBRB) system is a powerful tool with the ability to handle both qualitative and quantitative information under uncerta...
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Chapter and Conference Paper
CMM-Based Cooperative Control Strategy of Supernumerary Robotic Limbs for Human Motion
The Supernumerary Robotic Limbs (SRL) have been proven to cooperate with the wearer to perform tasks in manufacturing domains such as aircraft assembly, mainly by providing support to the wearer through physic...
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Chapter and Conference Paper
MMpedia: A Large-Scale Multi-modal Knowledge Graph
Knowledge graphs serve as crucial resources for various applications. However, most existing knowledge graphs present symbolic knowledge in the form of natural language, lacking other modal information, e.g., ...
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Article
TEDT: Transformer-Based Encoding–Decoding Translation Network for Multimodal Sentiment Analysis
Multimodal sentiment analysis is a popular and challenging research topic in natural language processing, but the impact of individual modal data in videos on sentiment analysis results can be different. In th...
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Article
Multi-task deep learning model based on hierarchical relations of address elements for semantic address matching
Address matching, which aims to match unstructured addresses with standard addresses in an address database, is a key part of geocoding. The core problem of address matching corresponds to text matching in nat...
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Article
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation
Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic segmentation (SSSS), is a challenging task that has attracted much attention ...
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Chapter and Conference Paper
High Maneuvering Control of Autonomous Vehicles Using Dual Heuristic Programming
High maneuvering control is important to enhance the maneuverability and safety of autonomous vehicles. However, the vehicle’s dynamic characteristics are complex and nonlinear at high speeds and aggressive st...
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Chapter and Conference Paper
Automatic ICD Coding Based on Multi-granularity Feature Fusion
International Classification of Disease (ICD) coding is to assign standard codes, which describe the state of a patient, to a clinical note. It is challenging given the complexity and the number of codes. The ...
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Chapter and Conference Paper
Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension
Chinese electronic medical records named entity recognition (NER) is a core task in medical knowledge mining, which is usually viewed as a sequence labeling problem. Recent works introduce the machine reading ...
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Chapter
Beetle Antennae Search Algorithm for the Motion Planning of Industrial Manipulator
Beetle antennae search (BAS) algorithm as a computational intelligence algorithm has excellent nonlinear optimization ability applied in scientific and engineering applications. In this chapter, BAS is applied...
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Chapter and Conference Paper
Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments
Brain extraction is an indispensable step in neuro-imaging with a direct impact on downstream analyses. Most such methods have been developed for non-pathologically affected brains, and hence tend to suffer in...
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Chapter and Conference Paper
PGBERT: Phonology and Glyph Enhanced Pre-training for Chinese Spelling Correction
Chinese Spelling Correction (CSC) is a challenging task that requires the ability to model the language and capture the implicit pattern of spelling error generation. In this paper, we propose PGBERT as Phonol...
