51 Result(s)
within
Artificial Intelligence
**-Fan Wang
Chapter
Conference Paper
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Chapter and Conference Paper
Evaluation of Intelligent Level of Multi-Agent Game Theory Deduction Models Based on Game Neural Networks
The multi-agent game deduction model is a computer-generated and controlled agent that models and simulates human combat behavior. Agents with learning and decision-making capabilities can autonomously respond...
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Chapter and Conference Paper
Pedestrian Crossing Prediction Based on Invariant Feature Extraction of Cross-Spectral Images
Pedestrian crossing prediction is one of the significant components in the decision-making in the autonomous driving system. And the accuracy of its prediction is to decide whether the autonomous vehicle can f...
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Chapter and Conference Paper
Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning
The typical YOLO algorithm, SSD algorithm and RCNN model all have the problem of low detection accuracy or slow detection speed in surface target detection, and cannot be applied to surface unmanned ships that...
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Chapter and Conference Paper
Node Research on the Involvement of China’s Carbon Tax Policy in the Context of COVID-19
The outbreak of COVID-19 provides a rare opportunity for the implementation of the carbon tax. To determine which stage is the most appropriate for introducing the policy, a simulation model based on China’s p...
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Chapter and Conference Paper
Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation
Recent advances in large language models (LLMs) like ChatGPT have led to impressive results on various natural language processing (NLP) challenges including text-to-SQL task, which aims to automatically gener...
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Chapter and Conference Paper
Envisioning the Future Trends of Smart Assistive Devices to Support Activities of Daily Living for Older Adults with Disabilities
The elderly care industry will face significant pressure, especially the disabled older adults will be the crucial object of service and support. Older adults with a disability who have lost the ability to liv...
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Chapter and Conference Paper
Application of Fuzzy Neural Network in Chromatographic Separation
Chromatographic separation process is a continuous and discrete mixed system. It is a fixed bed consisting of chromatographic columns or similar chromatographic columns. The components are separated by valve s...
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Chapter and Conference Paper
BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network
This paper describes the system proposed by the BIT-WOW team for NLPCC2022 shared task in Task5 Track1. The track is about multi-label towards abstracts of academic papers in scientific domain, which includes ...
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Chapter and Conference Paper
Concentration Control of SMB System Based on Hierarchical Fuzzy Controller
Chromatographic separation is an indispensable and efficiency technology in the manufacturing process of chemical products and biomedicine. Simulated moving bed (SMB) is a kind of process that can increase the...
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Chapter and Conference Paper
Design and Evaluation of an Exergame System of Knee with the Azure Kinect
Timely and effective knee function evaluation and knee exercises promote the prevention and self-management of knee diseases. In this paper, a Kinect-based exergame system is proposed to assess and train the k...
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Chapter and Conference Paper
Optimal Operation of Reservoir Power Generation Based on Improved Grey Wolf Algorithm
The operation efficiency of the power station mainly depends on power generation. Therefore, under the constraints of water level, water amount, and output of hydropower station, generation flow in each period...
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Chapter and Conference Paper
Controller Placements for Optimizing Switch-to-Controller and Inter-controller Communication Latency in Software Defined Networks
The logically centralized control plane in large-scale SDN networks consists of multiple controllers, and the controllers communicate with each other to keep a consistent view of the network status. Inconsiste...
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Chapter and Conference Paper
Aspect-Based Sentiment Classification with Reinforcement Learning and Local Understanding
Aspect-based sentiment analysis is a fine-grained classification task in natural language processing. In this paper, we propose a new framework with reinforcement learning agent to assess the importance of wor...
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Chapter and Conference Paper
Summary of PAKDD CUP 2020: From Organizers’ Perspective
PAKDD2020 Alibaba AI Ops Competition is jointly organized by PAKDD2020, Alibaba Cloud, and Alibaba Tianchi platform. The task of the competition is to predict disk failures in large-scale cloud computing envir...
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Chapter and Conference Paper
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT
Accurate bone segmentation and anatomical landmark localization are essential tasks in computer-aided surgical simulation for patients with craniomaxillofacial (CMF) deformities. To leverage the complementarit...
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Chapter and Conference Paper
DHBFT: Dynamic Hierarchical Byzantine Fault-Tolerant Consensus Mechanism Based on Credit
It is significant to improve Practical Byzantine Fault Tolerance algorithm (PBFT) in consortium blockchain. At present, the serial verification process of transactions in the primary and backups greatly affect...
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Chapter and Conference Paper
Sentiment Analysis on Weibo Platform for Stock Prediction
Recent years has witnessed a growing trend on the stock prediction through sentiment analysis of social media. This paper proposes a stock-predicting method based on the sentiment analysis of Weibo, utilizing ...
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Chapter and Conference Paper
Evolution Computation Based Resource Allocation for Hybrid Visible-Light and RF Femtocell
Incorporating visible light communication (VLC) with existing radio frequency (RF) access techniques has received widespread concern to enhance network coverage/capacity. This paper focuses on the joint downli...
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Chapter and Conference Paper
Price-Based Power Control in NOMA Based Cognitive Radio Networks Using Stackelberg Game
This paper studies the price-based power control strategies for non-orthogonal multiple access (NOMA) based cognitive radio networks. The primary user (PU) profits from the secondary users (SUs) by pricing the...
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
