519 Result(s)
within
**-**a Ding
Artificial Intelligence
Information Systems Applications (incl. Internet)
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Article
Improved optimal foraging algorithm for global optimization
The optimal foraging algorithm (OFA) is a swarm-based algorithm motivated by animal behavioral ecology theory. When solving complex optimization problems characterized by multiple peaks, OFA is easy to get tra...
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Article
Multi-example query over ontology-label knowledge graphs
Multi-example query over knowledge graphs allows users to provide multiple example fragments to express their intention, overcoming the shortage of single example query asks users to give a specific complete q...
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Article
Person re-identification method based on fine-grained feature fusion and self-attention mechanism
Aiming at the problem of low accuracy of person re-identification (Re-ID) algorithm caused by occlusion, low distinctiveness of person features and unclear detail features in complex environment, we propose a ...
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Article
Context-Aware Semantic Type Identification for Relational Attributes
Identifying semantic types for attributes in relations, known as attribute semantic type (AST) identification, plays an important role in many data analysis tasks, such as data cleaning, schema matching, and k...
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Article
Bi-GAE: A Bidirectional Generative Auto-Encoder
Improving the generative and representational capabilities of auto-encoders is a hot research topic. However, it is a challenge to jointly and simultaneously optimize the bidirectional map** between the enco...
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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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Article
PSO-based feature extraction of unknown protocol data frame
In today’s network information confrontation, due to security reasons, the protocols used by both parties are often undisclosed and the protocol format is unknown, and the communication data is in the form of ...
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Article
An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection
With the develo** demands of massive-data services, the applications that rely on big geographic data play crucial roles in academic and industrial communities. Unmanned aerial vehicles (UAVs), combining wit...
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Article
Enhancing N-Gram Based Metrics with Semantics for Better Evaluation of Abstractive Text Summarization
Text summarization is an important task in natural language processing and it has been applied in many applications. Recently, abstractive summarization has attracted many attentions. However, the traditional ...
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Article
An Efficient Scheme to Defend Data-to-Control-Plane Saturation Attacks in Software-Defined Networking
Software-defined networking (SDN) decouples the data and control planes. However, attackers can lead catastrophic results to the whole network using manipulated flooding packets, called the data-to-control-pla...
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Article
Self-Supervised Task Augmentation for Few-Shot Intent Detection
Few-shot intent detection is a practical challenge task, because new intents are frequently emerging and collecting large-scale data for them could be costly. Meta-learning, a promising technique for leveragin...
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Chapter and Conference Paper
Implementing Large-Scale ABox Materialization Using Subgraph Reasoning
The ontology knowledge base can be divided into two parts: TBox and ABox, where the former models schema-level knowledge within the domain, and the latter is a statement of assertions or facts about a set of i...
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Chapter and Conference Paper
Digital Mahjong System: Towards Precise Cognitive Assessment with IoT Technologies
To the best of our knowledge, this paper is the first to apply IoT technologies to transform the popular Mahjong game into a Digital Mahjong System (DMS) for digitally performing cognitive assessments. People ...
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Chapter and Conference Paper
Classroom Teaching Effect Monitoring and Evaluation System with Deep Integration of Artificial Intelligence
With the progress and development of the times, education informatization has become the primary content to promote the progress of education. However, with the rapid advancement of technology, many problems ...
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Chapter and Conference Paper
Global Optimal Trajectory Planning of Mobile Robot Grinding for High-Speed Railway Body
Reasonable machining trajectory planning could increase the robotic maneuverability and productivity, which is a research hotspot in the field of robotic grinding, especially for large complicated components. ...
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Chapter and Conference Paper
Research on Feature Matching Based on Improved RANSAC Algorithm
Aiming at the problems that the current RANSAC (Random Sample Consensus) algorithm has too large randomness and is susceptible to external point interference, which leads to the reduction of matching accuracy,...
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Chapter and Conference Paper
A Hybrid Asynchronous Brain-Computer Interface Combining SSVEP and EOG Signals for Rapid Target Recognition
Brain-Computer interfaces (BCIs) can help the disabled restore their ability of communicating and interacting with the environment. Asynchronous steady-steady visual evoked potential (SSVEP) allows the user to...
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Chapter and Conference Paper
A Self-attention Network for Face Detection Based on Unmanned Aerial Vehicles
Face detection based on Unmanned Aerial Vehicles (UAVs) faces following challenges: (1) scale variation. When the UAVs fly in the air, the size of faces is different owing to the distance, which increases the...
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Chapter and Conference Paper
Kinematic Analysis and Optimization of a New 2R1T Redundantly Actuated Parallel Manipulator with Two Moving Platforms
Redundantly actuated parallel manipulators (RAPMs) with two rotations and one translation (2R1T) are suitable for some manufacturing applications where high precision and speed are required. In this paper, a n...
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Chapter and Conference Paper
A Pilot Study on the Correlation Between Product Color and Olfactory Experience
The fragrance market is gradually igniting in the market due to the epidemic, the global economic depression and the changing consumer habits. Consumers were unable to go out shop** due to the epidemic and m...
