17 Result(s)
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Article
Open AccessHow Challenging is a Challenge? CEMS: a Challenge Evaluation Module for SLAM Visual Perception
Despite promising SLAM research in both vision and robotics communities, which fundamentally sustains the autonomy of intelligent unmanned systems, visual challenges still threaten its robust operation severel...
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Chapter and Conference Paper
How Challenging is a Challenge for SLAM? An Answer from Quantitative Visual Evaluation
SLAM (Simultaneously Localization and Map**) is the fundamental technology for the application of unmanned intelligent systems, such as underwater exploration with fish robots. But various visual challenges ...
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Chapter and Conference Paper
A Machine Learning Based Security Detection Method for Privacy Data in Social Networks
In order to improve the social Internet privacy data security detection effect and improve the data security detection efficiency, this paper proposes a social Internet privacy data security detection method b...
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Chapter and Conference Paper
A Method for Identity Feature Recognition in Wireless Visual Sensing Networks Based on Convolutional Neural Networks
Due to the problems of low recognition accuracy and long recognition time in traditional wireless visual sensing network identity feature recognition methods, a convolutional neural network-based wireless visu...
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Chapter and Conference Paper
A Method for Identity Feature Recognition in Wireless Visual Sensing Networks Based on Convolutional Neural Networks
Due to the problems of low recognition accuracy and long recognition time in traditional wireless visual sensing network identity feature recognition methods, a convolutional neural network-based wireless visu...
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Article
Teaching–learning guided salp swarm algorithm for global optimization tasks and feature selection
The basic salp swarm algorithm (SSA) is a novel nature-inspired swarm intelligence optimization algorithm based on the foraging behavior of salp individuals in the deep sea. Since its development, the salp swa...
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Chapter and Conference Paper
Boolean Spatial Temporal Text Keyword Skyline Query
Spatial text keyword skyline query, as an efficient data retrieval method, mainly considers the spatial distance and textual relevance between query points and objects. However, the existing query algorithms d...
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Chapter and Conference Paper
User Preference Prediction for Online Dialogue Systems Based on Pre-trained Large Model
Online conversation system user preference prediction can improve online conversation system to enhance the quality of the conversation. This paper design an online conversation quality preference assessment m...
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Chapter and Conference Paper
Auxiliary Information Enhanced Span-Based Model for Nested Named Entity Recognition
Span-based methods have unique advantages for solving nested named entity recognition (NER) problems. As primary information, boundaries play a crucial role in span representation. However, auxiliary informati...
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Chapter and Conference Paper
Citation Recommendation Chatbot for Professional Communities
In recent years, the proliferation of academic literature has made it increasingly challenging for researchers and professionals to discover relevant citations for their work. To address this issue, this paper...
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Article
A novel and efficient salp swarm algorithm for large-scale QoS-aware service composition selection
The rapid growing number of web services has posed new challenges for service composition computing. How to combine services that meet the needs of users in the least amount of time from a huge number of candi...
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Chapter and Conference Paper
KA-NER: Knowledge Augmented Named Entity Recognition
Most named entity recognition models comprehend words based solely on their contexts and man-made features, but neglect relevant knowledge. Incorporating prior knowledge from a knowledge base is straightforwar...
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Article
Skeleton-based action recognition by part-aware graph convolutional networks
This paper proposes an improved graph convolutional networks to deal with the skeleton-based action recognition. Inspired by splitting skeleton into several parts to feed deep networks, the part-aware convolut...
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Chapter and Conference Paper
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features
There is stunning rapid development of human brains in the first year of life. Some studies have revealed the tight connection between cognition skills and cortical morphology in this period. Nonetheless, it i...
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Chapter and Conference Paper
Time Series Data Cleaning Based on Dynamic Speed Constraints
Errors are ubiquitous in time series data as sensors are often unstable. Existing approaches based on constraints can achieve good data repair effect on abnormal values. The constraint typically refers to the ...
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Chapter and Conference Paper
Research on Data Recovery Technology Based on Flash Memory Device
Due to the significant internal structural difference between flash memory devices and traditional mechanical hard disks, the data recovery technology for traditional mechanical hard disks cannot be directly a...
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Chapter and Conference Paper
Algorithm for Analyzing N-Dimensional Hilbert Curve
The Hilbert curve is a way of map** the multidimensional space into the one-dimensional space. Such map**s are of interest in a number of application domains including image processing and, more recently, ...
