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Journal of Experimental & Theoretical Artificial Intelligence最新文献

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Occlusive target recognition method of sorting robot based on anchor-free detection network 基于无锚检测网络的分拣机器人隐蔽目标识别方法
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-08-29 DOI: 10.1080/0952813x.2024.2383647
Fuzhi Wang, Changlin Song
The rapid development of industry intelligence has promoted the importance of sorting robots, but the shortcomings of sorting tasks are also gradually obvious. The target detection of the sorting r...
工业智能化的快速发展促进了分拣机器人的重要性,但分拣任务的缺点也逐渐显露出来。分拣机器人的目标检测能力是分拣任务的关键。
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引用次数: 0
An effectual underwater image enhancement framework using adaptive trans-resunet ++ with attention mechanism 使用带有关注机制的自适应跨资源网 ++ 的有效水下图像增强框架
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-08-17 DOI: 10.1080/0952813x.2024.2383659
S. Meera, Ajanya P
The intricacy of the underwater setting makes it difficult for optical lenses to capture clear underwater photos without haze and colour distortion. Some studies use domain adaptation and transfer ...
水下环境错综复杂,光学镜头很难捕捉到没有雾度和色彩失真的清晰水下照片。一些研究利用域适应和转移技术来解决这个问题。
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引用次数: 0
An experimental study of sentiment classification using deep-based models with various word embedding techniques 使用基于深度的模型和各种词嵌入技术进行情感分类的实验研究
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-07-30 DOI: 10.1080/0952813x.2024.2384568
Sajad Rezaei, Jafar Tanha, Seyedehsan Roshan, Zahra Jafari, Mahdi Molaei, Samira Mirzadoust, Mohammad Sadeghi, Amir Forsati, Tara Khoshamouz
Nowadays, sentiment analysis is concerned with identifying and analysing text sentiment. Sentiment analysis has been used in many fields because of its applications in various domains. In the last ...
如今,情感分析主要涉及识别和分析文本情感。情感分析因其在不同领域的应用而被广泛使用。在过去的 ...
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引用次数: 0
Sign language video to text conversion via optimised LSTM with improved motion estimation 通过改进运动估计的优化 LSTM 将手语视频转换为文本
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-07-23 DOI: 10.1080/0952813x.2024.2380991
Subburaj S, Murugavalli S, Muthusenthil B
A method of communication for the deaf and the dumb is sign language (SL). Knowing SL allows speakers and listeners to converse effectively with deaf and dumb people. Yet, while they can acquire si...
手语是聋哑人的一种交流方式。掌握手语可以让说话者和听话者有效地与聋哑人交谈。然而,虽然聋哑人可以学习手语,但他们的语言能力却很有限。
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引用次数: 0
An efficient safest route prediction-based route discovery mechanism for drivers using improved golden tortoise beetle optimizer 使用改进的金龟甲虫优化器,为驾驶员提供基于最安全路线预测的高效路线发现机制
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-25 DOI: 10.1080/0952813x.2024.2343736
A. Vijaya Lakshmi, A. Parthiban, K. Suresh Joseph
Several commercialised route recommendation systems only consider the metrics like cost, time, and distance. The essential metric ‘safety’ is neglected by the existent systems. It suggests only the...
一些商业化的路线推荐系统只考虑成本、时间和距离等指标。现有系统忽略了 "安全 "这一重要指标。它只建议...
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引用次数: 0
Enhanced health monitoring in IoT with auto-metric graph neural networks and Archimedes optimisation 利用自动度量图神经网络和阿基米德优化技术加强物联网健康监测
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-15 DOI: 10.1080/0952813x.2024.2338495
S.S. Arumugam, T. Sripriya, A. Mudassar Ali, Francis H Shajin
IoT-based healthcare monitoring systems often lack context-awareness, hindering their ability to provide personalised and accurate healthcare services. The proposed architecture addresses this chal...
基于物联网的医疗监控系统往往缺乏情境感知能力,这阻碍了它们提供个性化和准确医疗服务的能力。所提出的架构可解决这一难题。
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引用次数: 0
Student’s performance prediction based on an improved multi-view hypergraph neural network 基于改进的多视图超图神经网络的学生成绩预测
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-15 DOI: 10.1080/0952813x.2024.2328234
Xuefen Lin, Yada Guo
Predicting students’ academic performance is a crucial area of research in Educational Data Mining. Efficient performance prediction can significantly improve instructional effectiveness, facilitat...
预测学生的学习成绩是教育数据挖掘的一个重要研究领域。高效的成绩预测能极大地提高教学效果,促进学生学习成绩的提高。
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引用次数: 0
Satellite fault tolerant attitude control based on expert guided exploration of reinforcement learning agent 基于专家指导的强化学习代理探索的卫星容错姿态控制
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-09 DOI: 10.1080/0952813x.2024.2321152
Hicham Henna, Houari Toubakh, Mohamed Redouane Kafi, Ömer Gürsoy, Moamar Sayed-Mouchaweh, Mohamed Djemai
This research provides a method that accelerates learning and avoids local minima to improve the policy gradient algorithm’s learning process. Reinforcement learning has the advantage of not requir...
这项研究提供了一种加速学习和避免局部极小值的方法,以改进策略梯度算法的学习过程。强化学习的优点是不需要...
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引用次数: 0
Generalized correlation coefficients of intuitionistic multiplicative sets and their applications to pattern recognition and clustering analysis 直观乘法集的广义相关系数及其在模式识别和聚类分析中的应用
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-04 DOI: 10.1080/0952813x.2024.2323039
Ali Köseoğlu
Intuitionistic multiplicative preference relations (IMPRs) and intuitionistic multiplicative sets (IMSs) play a significant role in real-life problems that contain unsymmetrical and nonuniform info...
直觉乘法偏好关系(IMPR)和直觉乘法集(IMS)在包含非对称和非均匀信息的现实问题中发挥着重要作用。
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引用次数: 0
Artificial intelligence: reflecting on the past and looking towards the next paradigm shift 人工智能:回顾过去,展望下一次范式转变
IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-02-28 DOI: 10.1080/0952813x.2024.2323042
Petar Radanliev
Artificial intelligence (AI) has undergone major advances over the past decades, propelled by key innovations in machine learning and the availability of big data and computing power. This paper su...
过去几十年来,人工智能(AI)在机器学习的关键创新以及大数据和计算能力的可用性的推动下取得了重大进展。本文介绍了人工智能的发展历程。
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引用次数: 0
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Journal of Experimental & Theoretical Artificial Intelligence
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