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International Journal on Artificial Intelligence Tools最新文献

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A State-of-the-art Association Rule Mining Survey and It's Rare Application, Challenges, Progress 最新的关联规则挖掘综述及其罕见的应用、挑战和进展
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-12-16 DOI: 10.1142/s0218213023500215
S. Biswas, D. Saha, R. Pandit
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引用次数: 0
A Novel YOLOv5 Deep Learning Model for Handwriting Detection and Recognition 一种新的YOLOv5深度学习模型用于手写检测和识别
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-12-16 DOI: 10.1142/s0218213023500161
M. Moustapha, Murat Tasyurek, Celal Öztürk
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引用次数: 1
Neural Adversarial Attacks with Random Noises 随机噪声下的神经对抗攻击
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-12-13 DOI: 10.1142/s0218213023600102
H. Hajri, M. Césaire, L. Schott, S. Lamprier, P. Gallinari
,
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引用次数: 0
List of Reviewers : Volume 31 (2022) 审稿人名单:第31卷(2022年)
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-12-01 DOI: 10.1142/s0218213022970016
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引用次数: 0
Blockchain and Artificial Intelligence-based Solutions for Healthcare Management: Liver Disease Detection as a Case Study 基于区块链和人工智能的医疗管理解决方案:以肝病检测为例
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-11-25 DOI: 10.1142/s0218213023400067
Z. Tarek, M. Elhoseny, I. M. El-Hasnony
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引用次数: 0
Ensemble Learning Based Gene Regulatory Network Inference 基于集成学习的基因调控网络推断
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-11-25 DOI: 10.1142/s0218213023600059
S. Peignier, Baptiste Sorin, F. Calevro
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引用次数: 0
Prediction of Heart Disease Using a Hybrid XGBoost-GA Algorithm with Principal Component Analysis: A Real Case Study 使用混合XGBoost-GA算法与主成分分析预测心脏病:一个真实案例研究
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-11-23 DOI: 10.1142/s0218213023400092
T. Özcan, Ebru Pekel Ozmen
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引用次数: 1
A Human Body Infrared Image Recognition Approach via DCA-Net Deep Learning Models 基于DCA-Net深度学习模型的人体红外图像识别方法
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-11-23 DOI: 10.1142/s0218213023600047
Huiqiang Zhang, Ji Li, Shengqi Liu, Wei Wang
With the continuous exploitation of coal resources, human safety has been seriously threatened during the mining process. Therefore, it is of great significance to establish an efficient human infrared image recognition system. In this paper, three classes of infrared image data of the human body are collected by a thermal imager, namely Human, Human others and None. According to the characteristics of downhole infrared images, a distributed channel feature extraction module (DCFE) is designed, and DCA-Net is proposed based on this module. The experimental results show that the recognition rate of the network reaches 98%. Compared with other networks, this network has better recognition performance. Among them, the recognition rate of DCA-Net50 reaches 98.214%, the amount of parameters and calculations are relatively small, and the cost-effectiveness is the highest. It is suitable for the human body infrared image recognition system that requires high accuracy and high real-time performance.
随着煤炭资源的不断开发,开采过程中的人身安全受到了严重威胁。因此,建立高效的人体红外图像识别系统具有重要意义。本文采用热像仪采集人体红外图像数据,分为三类:human、human others和None。根据井下红外图像的特点,设计了分布式通道特征提取模块(DCFE),并在此基础上提出了DCA-Net。实验结果表明,该网络的识别率达到98%。与其他网络相比,该网络具有更好的识别性能。其中,DCA-Net50的识别率达到98.214%,参数量和计算量相对较少,性价比最高。适用于对精度要求高、实时性要求高的人体红外图像识别系统。
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引用次数: 0
autoFPR: An Efficient Automatic Approach for Facial Paralysis Recognition Using Facial Features autoFPR:一种有效的面部特征自动识别面瘫方法
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-11-18 DOI: 10.1142/s0218213023400055
S. R. Gogu, S. Sathe
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引用次数: 0
Multimodal Depression Detection: Using Fusion Strategies with Smart Phone Usage and Audio-visual Behavior 多模态抑郁检测:使用融合策略与智能手机使用和视听行为
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2022-11-18 DOI: 10.1142/s0218213023400080
R. P. Thati, A. S. Dhadwal, Priyesh Kumar, P. Sainaba
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引用次数: 1
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International Journal on Artificial Intelligence Tools
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