Overlay cognitive radio (CR) networks include a primary and cognitive base station (BS) sharing the same frequency band. This paper focuses on designing a robust symbol-level pre-coding (SLP) scheme where the primary ...
详细信息
This paper explores an innovative approach to improve the efficiency of helmet violation detection and license plate recognition through the optimization of YOLOV8 models integrated with edge computing. The proposed m...
详细信息
ISBN:
(纸本)9798400716713
This paper explores an innovative approach to improve the efficiency of helmet violation detection and license plate recognition through the optimization of YOLOV8 models integrated with edge computing. The proposed method leverages the capabilities of YOLOV8 models to enhance accuracy in identifying helmet violations and recognizing license plates. Additionally, the integration of edge computing facilitates the pre-processing of images at the smart cameras, reducing the data load sent to the central server by approximately 30%. Although there is a slight reduction in accuracy compared to centralized processing, the trade-off is deemed acceptable. The experimental results demonstrate the effectiveness of the optimized system in achieving a balance between accuracy and computational efficiency, thereby presenting a promising solution for real-time monitoring and enforcement of traffic regulations.
The proceedings contain 194 papers. The special focus in this conference is on Natural Language processing and Chinese computing. The topics include: Hierarchical Knowledge Aggregation for Personalized Response Genera...
ISBN:
(纸本)9789819794423
The proceedings contain 194 papers. The special focus in this conference is on Natural Language processing and Chinese computing. The topics include: Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systems;multi-hop Reading Comprehension Model Based on Abstract Meaning Representation and Multi-task Joint Learning;Leveraging Large Language Models for QA Dialogue Dataset Construction and Analysis in Public Services;MCFC: A Momentum-Driven Clicked Feature Compressed Pre-trained Language Model for information Retrieval;integrating Syntax Tree and Graph Neural Network for Conversational Question Answering over Heterogeneous Sources;pqE: Zero-Shot Document Expansion for Dense Retrieval with Large Language Models;CKF: Conditional Knowledge Fusion Method for CommonSense Question Answering;MPPQA: Structure-Aware Extractive Multi-span Question Answering for Procedural Documents;GraphLLM: A General Framework for Multi-hop Question Answering over Knowledge Graphs Using Large Language Models;local or Global Optimization for Dialogue Discourse Parsing;structure and Behavior Dual-Graph Reasoning with Integrated Key-Clue Parsing for Multi-party Dialogue Reading Comprehension;enhancing Emotional Support Conversation with cognitive Chain-of-Thought Reasoning;a Simple and Effective Span Interaction Modeling Method for Enhancing Multiple Span Question Answering;FacGPT: An Effective and Efficient Method for Evaluating Knowledge-Based Visual Question Answering;PAPER: A Persona-Aware Chain-of-Thought Learning Framework for Personalized Dialogue Response Generation;towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models;model-Agnostic Knowledge Distillation Between Heterogeneous Models;exploring Multimodal information Fusion in Spoken Off-Topic Degree Assessment;integrating Hierarchical Key information and Semantic Difference Features for Long Text Matching;CausalAPM: Generalizable Literal Disentanglement for NLU
cognitive vision is a rising utility of synthetic intelligence that permits machines to look and interpret pictures and movies like human beings do. Its miles proving to be a useful device in increasing the protection...
详细信息
The proceedings contain 194 papers. The special focus in this conference is on Natural Language processing and Chinese computing. The topics include: Hierarchical Knowledge Aggregation for Personalized Response Genera...
ISBN:
(纸本)9789819794331
The proceedings contain 194 papers. The special focus in this conference is on Natural Language processing and Chinese computing. The topics include: Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systems;multi-hop Reading Comprehension Model Based on Abstract Meaning Representation and Multi-task Joint Learning;Leveraging Large Language Models for QA Dialogue Dataset Construction and Analysis in Public Services;MCFC: A Momentum-Driven Clicked Feature Compressed Pre-trained Language Model for information Retrieval;integrating Syntax Tree and Graph Neural Network for Conversational Question Answering over Heterogeneous Sources;pqE: Zero-Shot Document Expansion for Dense Retrieval with Large Language Models;CKF: Conditional Knowledge Fusion Method for CommonSense Question Answering;MPPQA: Structure-Aware Extractive Multi-span Question Answering for Procedural Documents;GraphLLM: A General Framework for Multi-hop Question Answering over Knowledge Graphs Using Large Language Models;local or Global Optimization for Dialogue Discourse Parsing;structure and Behavior Dual-Graph Reasoning with Integrated Key-Clue Parsing for Multi-party Dialogue Reading Comprehension;enhancing Emotional Support Conversation with cognitive Chain-of-Thought Reasoning;a Simple and Effective Span Interaction Modeling Method for Enhancing Multiple Span Question Answering;FacGPT: An Effective and Efficient Method for Evaluating Knowledge-Based Visual Question Answering;PAPER: A Persona-Aware Chain-of-Thought Learning Framework for Personalized Dialogue Response Generation;towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models;model-Agnostic Knowledge Distillation Between Heterogeneous Models;exploring Multimodal information Fusion in Spoken Off-Topic Degree Assessment;integrating Hierarchical Key information and Semantic Difference Features for Long Text Matching;CausalAPM: Generalizable Literal Disentanglement for NLU
Robotics and the study of animal behavior are complementary fields that cannot be separated. Animals have acquired inherent benefits in movement, thinking, processinginformation, and managing tasks as a result of ext...
详细信息
In the new era of rapid information advancement, traditional curriculum teaching systems no longer meet the demands of cultivating talents for information and artificial intelligence. In response to the construction n...
详细信息
Sentiment analysis, which aims to extract information from textual data indicating people's ideas or attitudes about a particular problem, has developed into one of the most exciting study issues in natural langua...
详细信息
In this paper, we study the outage performance of a multi-user cognitive radio network with an energy harvesting relay. The user scheduling is performed using quality-based channel state information (CSI) reporting to...
详细信息
With the rapid development of Artificial Intelligence (AI) technology, the demand for various types of computing-power, such as Central processing Unit (CPU), Graphics processing Unit (GPU), Neural processing Unit (NP...
详细信息
暂无评论