347 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
**u Tao
Chapter
-
Chapter and Conference Paper
Industry-Oriented Cloud Edge Intelligent Assembly Guidance System
In view of the low efficiency of production and assembly in traditional industries, we use AR technology to replace traditional assembly instructions and design an industry-oriented cloud-edge intelligent asse...
-
Chapter and Conference Paper
Intelligent Industrial Auxiliary System Based on AR Technology
The traditional industrial assembly method is inefficient, and it is difficult to meet the needs of rapid production in modern society. Although many virtual assembly systems based on augmented reality technol...
-
Chapter and Conference Paper
A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation
With the development of recommendation systems (RSs), researchers are no longer only satisfied with the recommendation results, but also put forward requirements for the recommendation reasons, which helps imp...
-
Chapter and Conference Paper
Fast Fourier Orthogonalization over NTRU Lattices
FALCON is an efficient and compact lattice-based signature scheme. It is also one of the round 3 finalists in the NIST PQC standardization process. The core of FALCON is a trapdoor sampling algorithm, which ha...
-
Chapter and Conference Paper
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models
The pre-trained language model (eg, BERT) based deep retrieval models achieved superior performance over lexical retrieval models (eg, BM25) in many passage retrieval tasks. However, limited work has been done to...
-
Chapter and Conference Paper
Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation
The accurate segmentation and structural topics of plain documents not only meet people’s reading habit, but also facilitate various downstream tasks. Recently, some works have consistently given positive hint...
-
Chapter and Conference Paper
Multi-label Feature Selection Algorithm via Maximizing Label Correlation-Aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization
Multi-label classification deals with a special supervised classification problem where any instance could be associated with multiple class labels simultaneously. As various applications emerge continuously i...
-
Chapter and Conference Paper
Incorporating Complete Syntactical Knowledge for Spoken Language Understanding
Spoken Language Processing (SLU) is important in task-oriented dialog systems. Intent detection and slot filling are two significant tasks of SLU. State-of-the-art methods for SLU jointly solve these two tasks...
-
Chapter and Conference Paper
CSDQA: Diagram Question Answering in Computer Science
Visual Question Answering (VQA) has been a research focus of the computer vision community for recent years. Most of them are accomplished and verified on images of natural scenes. However, Diagram Question An...
-
Chapter and Conference Paper
A Transformer Model-Based Approach to Bearing Fault Diagnosis
Bearings are an important component in rotating machinery and their failure can lead to serious injuries and economic losses, therefore the diagnosis of bearing faults and the guarantee of their smooth operati...
-
Chapter and Conference Paper
Improved Non-negative Matrix Factorization Algorithm for Sparse Graph Regularization
Aiming at the low recognition accuracy of non-negative matrix factorization (NMF) in practical application, an improved spare graph NMF (New-SGNMF) is proposed in this paper. New-SGNMF makes full use of the in...
-
Chapter and Conference Paper
A Stepwise Path Selection Scheme Based on Multiple QoS Parameters Evaluation in SDN
Nowadays, the best-effort service can not guarantee the quality of service (QoS) for all kinds of services. QoS routing is an important method to guarantee QoS requirements. It involves path selection for flow...
-
Chapter and Conference Paper
Topology Self-optimization for Anti-tracking Network via Nodes Distributed Computing
Anti-tracking network aims to protect the privacy of network users’ identities and communication relationship. The research of P2P-based anti-tracking network has attracted more and more attentions because of ...
-
Chapter and Conference Paper
HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction
Heterogeneous information network (HIN) embedding is widely used in many real-world applications. Meta-path used in HINs can effectively extract semantic information among objects. However, the meta-path faces...
-
Chapter and Conference Paper
Analysis Method for Customer Value of Aviation Big Data Based on LRFMC Model
In the era of Big Data, enterprise marketing focuses on customers instead of product center, and customer relationship management has become the core issue. In the aviation field, how to tap the high-quality c...
-
Chapter and Conference Paper
Predicting Crowdsourcing Worker Performance with Knowledge Tracing
Knowledge-intensive crowdsourcing (KI-C) plays an important role in today’s knowledge economy. And competitive knowledge-intensive crowdsourcing (CKI-C) is a kind of KI-C in which tasks are released in the for...
-
Chapter and Conference Paper
Improved Random Forest Algorithm Based on Adaptive Step Size Artificial Bee Colony Optimization
The traditional random forest algorithm works along with unbalanced data, cannot achieve satisfactory prediction results for minority class, and suffers from the parameter selection dilemma. In view of this pr...
-
Chapter and Conference Paper
Targeted Content Distribution in Outdoor Advertising Network by Learning Online User Behaviors
Digital outdoor advertising has revolutionized the way to display ads by allowing to deliver content dynamically. However, it is still a challenge to show the most suitable ad at the right time and place due t...
-
Chapter and Conference Paper
Crowdsourcing Trajectory Based Indoor Positioning Multisource Database Construction on Smartphones
The bottleneck of fingerprinting-based indoor localization method is the extensive human effort that is required to construct and update the database for indoor positioning. In this paper, we propose a crowdso...
-
Chapter and Conference Paper
Improved PCA Face Recognition Algorithm
Face recognition technology, as a biometric recognition technology, is very mature and has many applications. It achieves in-depth applications in smart campus systems, such as classroom attendance, classroom ...
