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Enhanced Sub-graph Reconstruction Graph Neural Network for Recommendation 用于推荐的增强型子图重构图神经网络
IF 2.8 4区 计算机科学 Q3 Computer Science Pub Date : 2024-06-12 DOI: 10.1080/08839514.2024.2355425
Zhe Liu, Xiaojun Lou, Jian Li, Guanjun Liu
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引用次数: 0
A Novel Method for Reducing Vehicle Emissions Utilizing IoT-Based IS-APCPSO Algorithm 利用基于物联网的 IS-APCPSO 算法减少汽车尾气排放的新方法
IF 2.8 4区 计算机科学 Q3 Computer Science Pub Date : 2024-06-12 DOI: 10.1080/08839514.2024.2344144
Ke Huang, Jianjun Zhu
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引用次数: 0
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks 通过联合学习和深度卷积神经网络有效诊断皮肤癌
IF 2.8 4区 计算机科学 Q3 Computer Science Pub Date : 2024-06-06 DOI: 10.1080/08839514.2024.2364145
Mabrook S. Al-Rakhami, Salman A. Alqahtani, Abdulaziz M. Alawwad
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引用次数: 0
Developing Machine Learning-based Control Charts for Monitoring Different GLM-type Profiles With Different Link Functions 开发基于机器学习的控制图,用不同的链接函数监控不同的 GLM 类型剖面图
IF 2.8 4区 计算机科学 Q3 Computer Science Pub Date : 2024-06-05 DOI: 10.1080/08839514.2024.2362511
Patrik Hric, Hamed Sabahno
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引用次数: 0
Generation of Vessel Track Characteristics Using a Conditional Generative Adversarial Network (CGAN) 使用条件生成对抗网络生成船舶航迹特征
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-05-31 DOI: 10.1080/08839514.2024.2360283
Jessica N.A Campbell, Martha Dais Ferreira, Anthony W. Isenor
Machine learning (ML) models often require large volumes of data to learn a given task. However, access and existence of training data can be difficult to acquire due to privacy laws and availabili...
机器学习(ML)模型通常需要大量数据来学习特定任务。然而,由于隐私法和可利用性等原因,训练数据的访问和存在可能很难获得。
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引用次数: 0
Statement of Retraction 撤回声明
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-05-30 DOI: 10.1080/08839514.2024.2357925
Published in Applied Artificial Intelligence: An International Journal (Vol. 38, No. 1, 2024)
发表于《应用人工智能》:国际期刊》(第 38 卷第 1 期,2024 年)
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引用次数: 0
Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction 用于在线借贷信用风险预测的混合机器学习算法的性能评估
IF 2.8 4区 计算机科学 Q3 Computer Science Pub Date : 2024-05-25 DOI: 10.1080/08839514.2024.2358661
Tesfahun Berhane, Tamiru Melese, Abdu Mohammed Seid
Peer-to-Peer systems are still in the early stages of development when it comes to the processing of credit and the appraisal of the risk associated with it. In this study, we used a hybrid convolu...
在处理信贷和评估相关风险方面,点对点系统仍处于早期发展阶段。在这项研究中,我们使用了一种混合卷积法,它可以对信贷风险进行评估。
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引用次数: 0
Entropy-based deep neural network training optimization for optical coherence tomography imaging 基于熵的光学相干断层成像深度神经网络训练优化
IF 2.8 4区 计算机科学 Q3 Computer Science Pub Date : 2024-05-24 DOI: 10.1080/08839514.2024.2355760
Karri Karthik, Manjunatha Mahadevappa
This paper presents an optimization technique for the number of training epochs needed for deep learning models. The proposed method eliminates the need for separate validation data and significant...
本文针对深度学习模型所需的训练历元数提出了一种优化技术。所提出的方法无需单独的验证数据和大量的...
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引用次数: 0
Applied Artificial Intelligence and Prospect of Internet of Everything (IoE) for the Detection of Tuberculosis 应用人工智能和万物互联(IoE)检测结核病的前景
IF 2.8 4区 计算机科学 Q3 Computer Science Pub Date : 2024-05-24 DOI: 10.1080/08839514.2024.2358654
Ibrahim Omodamilola, Abdullahi Umar Ibrahim, Suleiman Asir, Fadi M. Al-Turjman
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引用次数: 0
Bi-Modal Bi-Task Emotion Recognition Based on Transformer Architecture 基于变压器架构的双模式双任务情感识别
IF 2.8 4区 计算机科学 Q3 Computer Science Pub Date : 2024-05-21 DOI: 10.1080/08839514.2024.2356992
Yuseok Song, Qi Zhou
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引用次数: 0
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Applied Artificial Intelligence
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