Anomaly Detection in Automatic Meter Intelligence System Using Positive Unlabeled Learning and Multiple Symbolic Aggregate Approximation [0.03%]
基于正未标注学习和多符号聚合逼近的AMI系统异常检测方法研究
Thi Ngoc Anh Nguyen,Hoai Thu Vu,Minh Tuan Dang et al.
Thi Ngoc Anh Nguyen et al.
With the development of automatic electrical devices in smart grids, the data generated by time and transmitted are vast and thus impossible to control consumption by humans. The problem of abnormal detection in power consumption is crucial...
Michael Crawford,Francisca Flores,Marynia Kolak et al.
Michael Crawford et al.
A Unified Training Process for Fake News Detection Based on Finetuned Bidirectional Encoder Representation from Transformers Model [0.03%]
基于超细调双向编码器表示的Transformer模型的假新闻检测统一训练过程
Vijay Srinivas Tida,Sonya Hsu,Xiali Hei
Vijay Srinivas Tida
An efficient fake news detector becomes essential as the accessibility of social media platforms increases rapidly. Previous studies mainly focused on designing the models solely based on individual data sets and might suffer from degradabl...
Predicting Churn in Online Games by Quantifying Diversity of Engagement [0.03%]
通过量化参与度的多样性来预测在线游戏的用户流失率
Idan Weiss,Dan Vilenchik
Idan Weiss
Understanding engagement patterns of users in online platforms, may it be games, online social networks, or academic websites, is a widely studied topic with many real-world applications and economic consequences. A holy grail in this area ...
An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation [0.03%]
一种改进的双通道深度Q网络旅游推荐模型
Shengbin Liang,Jiangyong Jin,Jia Ren et al.
Shengbin Liang et al.
Tourism recommendation results are affected by many factors. Traditional recommendation methods have problems such as low recommendation accuracy and lack of personalization due to sparse data. This article uses implicit features such as co...
OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans [0.03%]
OzNet：一种新的深度学习方法，用于自动分类COVID-19计算机断层扫描影像
Oznur Ozaltin,Ozgur Yeniay,Abdulhamit Subasi
Oznur Ozaltin
Coronavirus disease 2019 (COVID-19) is spreading rapidly around the world. Therefore, the classification of computed tomography (CT) scans alleviates the workload of experts, whose workload increased considerably during the pandemic. Convol...
Zulfiqar Nazish,Masood Siddiqui Adil,Ahmad Awais et al.
Zulfiqar Nazish et al.
Multiexposure image fusion (MEF) is an effective approach to generate high dynamic range images from multilevel exposures taken from ordinary cameras. In this article, a novel MEF algorithm is proposed to gain maximum visual details as well...
Vertical and Horizontal Water Penetration Velocity Modeling in Nonhomogenous Soil Using Fast Multi-Output Relevance Vector Regression [0.03%]
基于快速多输出相关向量回归的非均匀土壤垂直与水平渗透速率建模研究
Babak Vaheddoost,Shervin Rahimzadeh Arashloo,Mir Jafar Sadegh Safari
Babak Vaheddoost
A joint determination of horizontal and vertical movement of water through porous medium is addressed in this study through fast multi-output relevance vector regression (FMRVR). To do this, an experimental data set conducted in a sand box ...
Hybrid Generalized Regularized Extreme Learning Machine Through Gradient-Based Optimizer Model for Self-Cleansing Nondeposition with Clean Bed Mode of Sediment Transport [0.03%]
基于梯度优化器模型的混合广义正则化极限学习机在清水冲刷泥沙输移模式下自净化非沉降中的应用研究
Enes Gul,Mir Jafar Sadegh Safari
Enes Gul
Sediment transport modeling is an important problem to minimize sedimentation in open channels that could lead to unexpected operation expenses. From an engineering perspective, the development of accurate models based on effective variable...
Cloud-Based Advanced Shuffled Frog Leaping Algorithm for Tasks Scheduling [0.03%]
基于云的先进 shuffled 穿梭算法在任务调度中的应用研究
Dipesh Kumar,Nirupama Mandal,Yugal Kumar
Dipesh Kumar
In recent years, the world has seen incremental growth in online activities owing to which the volume of data in cloud servers has also been increasing exponentially. With rapidly increasing data, load on cloud servers has increased in the ...