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Coupled Spatial-Spectral Constrained Convolutional Fusion Network for Hyperspectral and Panchromatic images 用于高光谱和全色图像的空间-光谱耦合卷积融合网络
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-09-12 DOI: 10.1080/08839514.2024.2335101
Jingwei Chen
Target monitoring is an important subject in machine vision. Hyperspectral image (HSI) can effectively assist the target detection and recognition effect of traditional optical images because of it...
目标监测是机器视觉的一个重要课题。高光谱图像(HSI)能有效辅助传统光学图像的目标检测和识别效果,因为它...
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引用次数: 0
Feature-Based Dataset Fingerprinting for Clustered Federated Learning on Medical Image Data 基于特征的数据集指纹识别,用于医学图像数据的聚类联合学习
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-09-09 DOI: 10.1080/08839514.2024.2394756
Daniel Scheliga, Patrick Mäder, Marco Seeland
Federated Learning (FL) allows multiple clients to train a common model without sharing their private training data. In practice, federated optimization struggles with sub-optimal model utility bec...
联合学习(FL)允许多个客户在不共享私人训练数据的情况下训练一个共同的模型。在实践中,联合优化难以实现次优模型效用,因为...
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引用次数: 0
Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars 用于水稻品种特征选择的机器学习集合分类器
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-09-04 DOI: 10.1080/08839514.2024.2394734
Chandrakumar Thangavel, D Sakthipriya
Machine Learning (ML) has a big impact on smart farming, especially rice productivity. This is especially true for intelligent farming. Machine Learning is crucial for seed prediction, germination,...
机器学习(ML)对智能农业,尤其是水稻生产率有很大影响。智能农业尤其如此。机器学习对于种子预测、发芽、...
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引用次数: 0
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems 确保海事自主系统中人工智能安全的红色团队框架
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-09-04 DOI: 10.1080/08839514.2024.2395750
Mathew J. Walter, Aaron Barrett, Kimberly Tam
Artificial intelligence (AI) is being ubiquitously adopted to automate processes in science and industry. However, due to its often intricate and opaque nature, AI has been shown to possess inheren...
人工智能(AI)正被广泛应用于科学和工业领域的自动化流程。然而,由于人工智能往往具有错综复杂和不透明的性质,因此它被证明具有内在的......
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引用次数: 0
Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks 利用双通道记忆网络基于信用审核文本进行欺诈检测
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-08-27 DOI: 10.1080/08839514.2024.2385854
Yansong Wang, Defu Lian, Enhong Chen
With the rapid development of the automotive finance market in China, fraudulent behaviors present new characteristics such as intellectualization and high concealment. Graph neural networks and me...
随着中国汽车金融市场的快速发展,欺诈行为呈现出智能化、高隐蔽性等新特点。图神经网络和计算机辅助分析技术的应用,可以有效解决这一问题。
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引用次数: 0
Quasi-experimental quality evaluation of educational-purposed user-generated contents under a stochastic multi-criteria environment 随机多标准环境下教育目的用户生成内容的准实验质量评估
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-08-25 DOI: 10.1080/08839514.2024.2389501
Roberto Suson, Nadine May Atibing, Samantha Shane Evangelista, Charldy Wenceslao, Fatima Maturan, Rica Villarosa, Lanndon Ocampo
As social platforms experience an influx of diverse content from users, the need to determine high-quality contributions becomes crucial, especially for educational purposes. This paper highlights ...
随着社交平台上各种用户内容的涌入,确定高质量贡献的必要性变得至关重要,尤其是在教育目的方面。本文重点介绍了...
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引用次数: 0
Understanding the Dynamics of Ocean Wave-Current Interactions Through Multivariate Multi-Step Time Series Forecasting 通过多变量多步骤时间序列预报了解海浪-海流相互作用的动态变化
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-08-19 DOI: 10.1080/08839514.2024.2393978
Zaharaddeeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai, Azam Che Idris
Understanding ocean wave-current interactions’ complex dynamics is crucial for coastal engineering, marine operations, and climate research applications. This study introduces a pioneering data-dri...
了解海洋波流相互作用的复杂动态对海岸工程、海洋作业和气候研究应用至关重要。本研究介绍了一种开创性的数据干...
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引用次数: 0
Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms 利用机器学习算法通过变异模式分解预测步态神经退行性疾病
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-08-12 DOI: 10.1080/08839514.2024.2389375
P. Visvanathan, P.M. Durai Raj Vincent
Degeneration in brain cells is the cause of neurodegenerative illness, which cause motor function impairment. Anomaly in walking is one of this impairment’s adverse effects. Since sensor technologi...
脑细胞退化是神经退行性疾病的病因,会导致运动功能障碍。行走异常就是这种障碍的不良影响之一。由于传感器技术的不断发展和进步,目前已能对行走异常进行检测。
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引用次数: 0
Deep Neural Network-Based Temperature Mapping Technique for Heat Sink on Electronic Devices Using Local Thermocouple Sensors 基于深度神经网络的电子设备散热器温度映射技术(使用本地热电偶传感器
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-08-12 DOI: 10.1080/08839514.2024.2389374
Jaehee Shin, Hyun Ahn, Gwang-Hyeon Mun, Jeongmin Lee, Pouria Zaghari, Young-Min Park, Jinhyoung Park, Jong Eun Ryu, Dong-Won Jang
Heat generated by electronic devices can lead to thermal deformation, damage, and fatigue failure, underscoring the importance of monitoring heat distribution. This study introduces an artificial n...
电子设备产生的热量会导致热变形、损坏和疲劳失效,这凸显了监测热量分布的重要性。本研究引入了一种人工...
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引用次数: 0
Fact or Fake? How News Title, Sentiment and Writing Style help AI to detect COVID-19 Fake News? 事实还是假新闻?新闻标题、情感和写作风格如何帮助人工智能检测 COVID-19 假新闻?
IF 2.9 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-08-10 DOI: 10.1080/08839514.2024.2389502
Chen-Shu Wang, Bo-Yi Li, Kai-Wen Wang, Zhi-Chi Lin
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引用次数: 0
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Applied Artificial Intelligence
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