275 Result(s)
within
English
Artificial Intelligence
Information Storage and Retrieval
**-**a Ding
Chapter
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Chapter and Conference Paper
Fuzzy Sliding Mode Trajectory Tracking Control for Omnidirectional Mobile Robots Based on Exponential Convergence Law
The increasing advancements in information technology have led to a growing interest in control research for mobile robot trajectory tracking. A controller for robot systems should exhibit adaptivity and robus...
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Chapter and Conference Paper
Knowledge Graph Completion via Subgraph Topology Augmentation
Knowledge graph completion (KGC) has achieved widespread success as a key technique to ensure high-quality structured knowledge for downstream tasks (e.g., recommendation systems and question answering). Howev...
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Chapter and Conference Paper
LNFGP: Local Node Fusion-Based Graph Partition by Greedy Clustering
Graph partitioning manages large RDF datasets in various applications such as file systems, databases and distributed computing frameworks. Research on graph partitioning can be generally categorized into two ...
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Chapter and Conference Paper
Clinical Coding Based on Knowledge Enhanced Language Model and Attention Pooling
Clinical coding is obtaining a standard ICD code based on the patient’s electronic medical record (EMR) information, including diagnosis, procedure, drug list, order, etc. It is essential in the medical record...
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Chapter and Conference Paper
Automatic Classification of Nursing Adverse Events Using a Hybrid Neural Network Model
Nursing adverse event means an abnormal event in the process of nursing that causes or may cause adverse outcomes to patients and their families. Its ability to damage personal health or increase the economic ...
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Chapter and Conference Paper
A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems
Matrix Factorization (MF) which is a Collaborative Filtering (CF) based model, is widely used in Recommendation Systems (RS). In this research, we deal with a specific recommendation problem of recommending conte...
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Chapter and Conference Paper
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
Recently, sequential recommendation has emerged as a widely studied topic. Existing researches mainly design effective neural architectures to model user behavior sequences based on item IDs. However, this kin...
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Chapter and Conference Paper
GERNS: A Graph Embedding with Repeat-Free Neighborhood Structure for Subgraph Matching Optimization
Subgraph matching is used to determine whether a query graph exists within a target graph, and appears in a lot applications of domains including social sciences, chemistry, biology and database systems. Exist...
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Chapter and Conference Paper
Design of an Automated CNN Composition Scheme with Lightweight Convolution for Space-Limited Applications
The emergence of the CNN network has enabled many networks for image object recognition, object segmentation, etc., and has brought amazing results to image processing tasks, including MaskRCNN [4] and YOLO [8]. ...
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Chapter and Conference Paper
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence Calibration
Named entity recognition plays an important role in extracting valuable information from digital libraries, which can help stakeholders to take full advantage of large quantities of documents to boost the deve...
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Chapter and Conference Paper
Ultra-short-Term Load Forecasting Model Based on VMD and TGCN-GRU
Load forecasting is to use historical load information to estimate the load demand for a period of time in the future. At present, mode decomposition algorithm is often used in the field to improve the forecas...
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Chapter and Conference Paper
Incorporating Feature Labeling into Crowdsourcing for More Accurate Aggregation Labels
Crowdsourcing is a popular way of collecting crowd wisdom and has been deployed in various senarios. Effective answer collection and answer aggregation are two important crowdsourcing topics as workers may give i...
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Chapter and Conference Paper
An Error-Bounded Space-Efficient Hybrid Learned Index with High Lookup Performance
Learned index is a novel index structure that enhances traditional index structures like B+-tree with machine learning models. It uses a trained model to locate a key position directly without the costly root-...
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Chapter and Conference Paper
A Longitudinal Measurement and Analysis of Pink, a Hybrid P2P IoT Botnet
With the ubiquitous deployment of Internet of Things (IoT) devices in many fields, more and more IoT botnets have taken a variety of penetration methods to infect vulnerable IoT devices. Nowadays, a substantia...
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Chapter and Conference Paper
A Privacy-Preserving Lightweight Energy Data Sharing Scheme Based on Blockchain for Smart Grid
As many users join the smart grid system, energy companies need user energy data to manage and improve energy delivery. However, while enjoying the services provided by energy companies, the energy data submit...
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Chapter and Conference Paper
Parasitic Network: Zero-Shot Relation Extraction for Knowledge Graph Populating
The relation tuple is the basic unit of the knowledge graph. Conventional relation extraction methods can only identify limited relation classes and not recognize the unseen relation types that have no pre-lab...
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Chapter and Conference Paper
Smart Contract Vulnerability Detection Based on Dual Attention Graph Convolutional Network
Smart contracts on blockchains have received increasing attention due to the decentralized, transparent, and immutable characteristics of blockchain. However, smart contracts are prone to security problems cau...
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Chapter and Conference Paper
Geographic and Temporal Deep Learning Method for Traffic Flow Prediction in Highway Network
Traffic congestion has become an inevitable situation faced by all countries and the prediction accuracy of traffic flow, as one of the means to solve this problem, still needs to be improved. Most studies lac...
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Chapter and Conference Paper
A Hashgraph-Based Knowledge Sharing Approach for Mobile Robot Swarm
Common knowledge in a group of robots, i.e., the knowledge known by everyone or nearly everyone, can significantly promote the efficiency of robot collaboration. In a decentralized environment, it can be achie...
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Chapter and Conference Paper
Transportation Recommendation with Fairness Consideration
Recent years have witnessed the widespread use of online map services to recommend transportation routes involving multiple transport modes, such as bus, subway, and taxi. However, existing transportation reco...
