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Devising single in-out long short-term memory univariate models for predicting the electricity price on the day-ahead markets 设计用于预测日前市场电价的单进单出长短期记忆单变量模型
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-09-04 DOI: 10.1080/09540091.2024.2397351
Adela Bâra, Simona Vasilica Oprea
We investigate the performance of intelligent systems such as various Long Short-Term Memory (LSTM) and hybrid models to forecast the electricity spot prices considering univariate and multivariate...
我们研究了智能系统的性能,如各种长短期记忆(LSTM)和混合模型,以预测考虑到单变量和多变量的电力现货价格。
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引用次数: 0
A continual learning framework to train robust image recognition models by adversarial training and knowledge distillation 通过对抗训练和知识提炼训练稳健图像识别模型的持续学习框架
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-07-20 DOI: 10.1080/09540091.2024.2379268
Ting-Chun Chou, Yu-Cheng Kuo, Jhih-Yuan Huang, Wei-Po Lee
Deep learning has been widely adopted in many image recognition tasks with great success. It has now been applied to conducting tasks on vision-based edge devices with resource limitation. To secur...
深度学习已被广泛应用于许多图像识别任务,并取得了巨大成功。现在,它已被应用于在资源有限的基于视觉的边缘设备上执行任务。为了确保边缘设备的安全,我们需要...
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引用次数: 0
IPFS-blockchain-based delegation model for internet of medical robotics things telesurgery system 基于 IPFS 区块链的医疗机器人物联网远程手术系统授权模型
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-06-17 DOI: 10.1080/09540091.2024.2367549
Sultan Basudan
The concept of the Internet of Medical Robotics Things (IoMRT) is where intelligent robots assess surrounding events, combine information from their sensors, use both local and dispersed intelligen...
医疗机器人物联网(IoMRT)的概念是智能机器人评估周围的事件,结合其传感器的信息,利用本地和分散的智能传感器,将信息传递给医疗设备。
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引用次数: 0
Toward cost-effective quantum circuit simulation with performance tuning techniques 利用性能调整技术实现经济高效的量子电路仿真
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-05-09 DOI: 10.1080/09540091.2024.2349541
Nai-Wei Hsu, Chuan-Chi Wang, Chia-Hsin Hsu, Chia-Heng Tu, Shih-Hao Hung
Quantum circuit simulation is a popular approach to evaluating novel quantum algorithms before a physical quantum computer is available. Unfortunately, the simulation is often done with the full-st...
量子电路仿真是在物理量子计算机可用之前评估新型量子算法的常用方法。不幸的是,这种模拟通常是在全量子计算机上进行的。
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引用次数: 0
ERAM-EE: Efficient resource allocation and management strategies with energy efficiency under fog–internet of things environments ERAM-EE:雾-物联网环境下具有能源效率的高效资源分配和管理策略
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-05-06 DOI: 10.1080/09540091.2024.2350755
Prakasam Periasamy, R. Ujwala, K. Srikar, Y.V. Durga Sai, K.S. Preetha, D. Sumathi, Md. Shohel Sayeed
Due to technological advancements, most devices are generating a significant amount of data which needs appropriate technology to handle the data generated by IoT devices. Fog computing addresses t...
由于技术的进步,大多数设备都在产生大量数据,这就需要适当的技术来处理物联网设备产生的数据。雾计算解决了这一问题。
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引用次数: 0
Economic policies assessment and judgement during the pandemic with semantic and social network joint analysis 利用语义和社会网络联合分析对大流行病期间的经济政策进行评估和判断
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-03 DOI: 10.1080/09540091.2023.2298073
Miao Yu, Xing Wan, Tianyou Zhu, Yuyue Wang, Mengdi Xu, Zhenzhen Wu, Xinyu Li
This paper delves into the economic policies of China during the pandemic and investigates the relationships between policy-issuing institutions. Firstly, we conduct keyword extraction and statisti...
本文深入探讨了大流行病期间中国的经济政策,并研究了政策发布机构之间的关系。首先,我们进行了关键词提取和统计分析。
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引用次数: 0
Cross-modal learning with multi-modal model for video action recognition based on adaptive weight training 基于自适应权重训练的视频动作识别多模态模型的跨模态学习
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-27 DOI: 10.1080/09540091.2024.2325474
Qingguo Zhou, Yufeng Hou, Rui Zhou, Yan Li, JinQiang Wang, Zhen Wu, Hung-Wei Li, Tien-Hsiung Weng
The canonical video action recognition methods usually label categories with numbers or one-hot vectors and train neural networks to classify a fixed set of predefined categories, thereby constrain...
典型的视频动作识别方法通常用数字或单点向量标注类别,并训练神经网络对一组固定的预定义类别进行分类,从而限制了对动作的识别。
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引用次数: 0
Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks 利用带有金字塔注意力网络的双 GAN 模型早期诊断阿尔茨海默病
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-16 DOI: 10.1080/09540091.2024.2321351
Yinjun Zhang, Linzhi Wang
Alzheimer's disease (AD) is a neurological condition that impairs the patient's cognitive function. The article presents a deep learning architecture using the implicit image from MRI to categories...
阿尔茨海默病(AD)是一种损害患者认知功能的神经系统疾病。文章介绍了一种深度学习架构,该架构利用核磁共振成像的隐含图像来分类...
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引用次数: 0
A reputation-based dynamic reorganization scheme for blockchain network sharding 基于信誉的区块链网络分片动态重组方案
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-12 DOI: 10.1080/09540091.2024.2327438
Shuhui Zhang, Hanwen Tian, Lianhai Wang, Shujiang Xu, Wei Shao
While sharding technology helps solve performance bottlenecks in traditional blockchain networks, it also introduces new challenges. Random node allocation may lead to uneven distribution of malici...
虽然分片技术有助于解决传统区块链网络的性能瓶颈,但它也带来了新的挑战。随机节点分配可能会导致恶意代码的分布不均。
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引用次数: 0
A novel Knowledge Graph recommendation algorithm based on Graph Convolutional Network 基于图卷积网络的新型知识图谱推荐算法
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-12 DOI: 10.1080/09540091.2024.2327441
Hui Guo, Chengyong Yang, Liqing Zhou, Shiwei Wei
Knowledge Graphs (KGs) are widely used in many fields of application, and especially play an essential role in recommendation systems. KGs often need to be complete, missing relationships between u...
知识图谱(KG)被广泛应用于许多领域,尤其是在推荐系统中发挥着重要作用。知识图谱通常需要是完整的,缺失了用户与用户之间的关系。
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引用次数: 0
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Connection Science
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