280 Result(s)
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Chapter and Conference Paper
A Deep Reinforcement Learning Based Facilitation Agent for Consensus Building Among Multi-Round Discussions
Achieving consensus among diverse opinions through multi-round discussions can be a complex process. The advent of large language models (LLMs) offers promising avenues for resolving this challenge, given thei...
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Chapter and Conference Paper
A Deep Learning-Based Method for Classroom Crowd Counting and Localization
In order to count the students’ seating distribution and attendance in offline classroom, which is a better response to the students’ learning and teaching situation. Based on the deep learning method, we prop...
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Chapter and Conference Paper
Construction of Business English Translation Teaching Model in Higher Vocational Colleges Based on Web-Based Learning Platform
With the formation of economic globalization and the increasingly frequent exchanges between countries in politics, culture, trade and other aspects, the society urgently needs high-level business English tran...
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Chapter and Conference Paper
MARL \(_{4}DRP\) : Benchmarking Cooperative Multi-agent Reinforcement Learning Algorithms for Drone Routing Problems
The use of drones as an efficient delivery solution is a promising technology, addressing the growing demand for deliveries. Unlike the traditional vehicle routing problem (VRP), we introduce a new drone routi...
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Chapter and Conference Paper
Semantic-Information Space Sharing Interaction Network for Arbitrary Shape Text Detection
Arbitrary shape text detection is a challenging task due to significant variations in text shapes, sizes, and aspect ratios. Previous approaches relying on single-level feature map generated through a top-down...
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Chapter and Conference Paper
PRiskLoc: An Enhanced Multi-dimensional Root Cause Localization Algorithm Aided by a Fine-Grained Evaluation System
Root cause localization within multi-dimensions is a challenging task due to its large search space within a limited time. There are a series of algorithms to handle this task, but to our knowledge, there is n...
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Chapter and Conference Paper
High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection
Infrared small-dim object detection is a challenging task due to the small size, weak features, lack of prominent structural information, and vulnerability to background interference. During the process of dee...
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Chapter and Conference Paper
Automatic Detection and Inspection Robot of All-Weather Urban Comprehensive Corridor Based on Voiceprint Detection
Aiming at the fire safety hazards of urban comprehensive corridors, an all-weather urban comprehensive corridor automatic detection and inspection robot is designed, and voiceprint recognition technology and c...
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Chapter and Conference Paper
Research on Data Mining Methods in the Field of Quality Problem Analysis Based on BERT Model
In the current quality problem analysis work, there are problems such as large amount of data with scattered distribution, isolated data and difficult machine understanding. Most of the current data mining wor...
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Chapter and Conference Paper
Towards Balanced RGB-TSDF Fusion for Consistent Semantic Scene Completion by 3D RGB Feature Completion and a Classwise Entropy Loss Function
Semantic Scene Completion (SSC) aims to jointly infer semantics and occupancies of 3D scenes. Truncated Signed Distance Function (TSDF), a 3D encoding of depth, has been a common input for SSC. Furthermore, RG...
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Chapter and Conference Paper
Sport Action Evaluation Based on Human Pose Estimation: A Case of Evaluating Golf Swing Action
Sport action evaluation is a crucial segment in sports teaching. With the advancement of human pose estimation, the extraction of human body coordinates from images has become increasingly feasible. This paper...
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Chapter and Conference Paper
Semantic Segmentation of Remote Sensing Architectural Images Based on GAN and UNet3+ Model
Semantic segmentation of remote sensing building images can provide important data support for urban planning and resource management. It also plays a crucial role in assessing building density, monitoring urb...
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Chapter and Conference Paper
Link-Breakage Recovery Strategies for Tactical MANET Based on OLSR
Link breakages happen in Tactical MANET due to dynamic topology, leading to interruptions of the end-to-end path and loss of time-sensitive communication messages. The cut-edge problem and the loop issue are t...
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Chapter and Conference Paper
Construction and Evaluation of the Five-in-One Practice Teaching Model
In response to the economic and social development of Tibet Autonomous Region and the demand for information technology construction in the new engineering era, this paper analyzes the communication engineerin...
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Chapter and Conference Paper
Exploring Vulnerabilities in Voice Command Skills for Connected Vehicles
Voice assistant platforms have revolutionized user interactions with connected vehicles, providing the convenience of controlling them through simple voice commands. However, this innovation also brings about ...
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Chapter and Conference Paper
Evaluation Method of Online Education Quality of E-Commerce Course in Higher Vocational Education Based on Machine Learning Model
In the stage of online education quality evaluation, due to multiple influencing factors and complex indicator parameters, the final evaluation results are prone to significant deviations from the actual situa...
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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
Correlation Analysis of Physical Education Teaching Quality Assessment Based on Fuzzy Comprehensive Evaluation
Aiming at the problems of low accuracy and strong subjectivity due to the fact that the existing PE teaching quality evaluation methods fail to take into account all the indicators related to teaching quality ...
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Chapter and Conference Paper
Exploring the Efficacy of Interactive Digital Humans in Cultural Communication
In recent years, digital human technology has seen widespread application across various fields, and its emphasis on interactivity holds the promise of addressing the stereotypical and monotonous aspects of tr...
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Chapter and Conference Paper
Distributed Dynamic Process Monitoring Based on Maximum Correlation and Maximum Difference
In order to solve the problem of dynamic characteristics caused by the autocorrelation of different measurement variables and the cross-correlation of variables reflected at different sampling times in industr...