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Lei Yang, Mengxue Xu and Yunan He
Convolutional Neural Networks (CNNs) have become essential in deep learning applications, especially in computer vision, yet their complex internal mechanisms pose significant challenges to interpretability, crucial for ethical applications. Addressing t...
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Mohamed Shenify, Fokrul Alom Mazarbhuiya and A. S. Wungreiphi
There are many applications of anomaly detection in the Internet of Things domain. IoT technology consists of a large number of interconnecting digital devices not only generating huge data continuously but also making real-time computations. Since IoT d...
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Sérgio Branco, Ertugrul Dogruluk, João G. Carvalho, Marco S. Reis and Jorge Cabral
As more and more devices are being deployed across networks to gather data and use them to perform intelligent tasks, it is vital to have a tool to perform real-time data analysis. Data are the backbone of Machine Learning models, the core of intelligent...
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Renjie Chen and Nalini Ravishanker
With the advancement of IoT technologies, there is a large amount of data available from wireless sensor networks (WSN), particularly for studying climate change. Clustering long and noisy time series has become an important research area for analyzing t...
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Steve de Rose, Philippe Meyer and Frédéric Bertrand
Accurate sizing systems of a population permit the minimization of the production costs of the textile apparel industry and allow firms to satisfy their customers. Hence, information about human body shapes needs to be extracted in order to examine, comp...
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Zhuhua Liao, Haokai Huang, Yijiang Zhao, Yizhi Liu and Guoqiang Zhang
Urban planning and function layout have important implications for the journeys of a large percentage of commuters, which often make up the majority of daily traffic in many cities. Therefore, the analysis and forecast of traffic flow among urban functio...
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Hui Li, Xueshan Bai, Xing Zhai, Jianqing Zhao, Xiaolong Zhu, Chenxi Li, Kehui Liu and Qizhi Wang
Mountain mudslides have emerged as one of the main geological dangers in the Yanshan region of China as a result of excessive rains. In light of this, a multi-step debris flow hazard assessment method combining optimal weights and a topological object me...
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Fatemeh Gholami, Zahed Rahmati, Alireza Mofidi and Mostafa Abbaszadeh
In recent years, machine learning approaches, in particular graph learning methods, have achieved great results in the field of natural language processing, in particular text classification tasks. However, many of such models have shown limited generali...
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Zuoxin Wang and Xiaohu Zhao
Most current non-intrusive load monitoring methods focus on traditional load characteristic analysis and algorithm optimization, lack knowledge of users? electricity consumption behavior habits, and have poor accuracy. We propose a novel attention-guided...
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Tian Wang, Zhenbo Liu, Jixing Li, Yu Liu, Xingyu Ma and Jiong Yang
Manually preparing the data for the analysis of the calculation of a pipe network of air-cooled turbine blades is inefficient. In this paper, a method to adaptively divide the blade model and extract data of the flow units is proposed. In this method, th...
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