Anomaly Detection using LSTM AutoEncoder by Mahmoud Moallem, Ali Akbar Pouyan

Subjects: “…anomaly detection…”
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Online and Robust Anomaly Detection using Recurrent Neural Network by Maryam Amoozegar, Morteza Faezinia, Behrouz Minaei_Bidgoli

Subjects: “…anomaly detection…”
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A Hybrid Model of Heart Anomalies Detection by Processing Heart Sounds by Ehsan Aghaenjad, Ramazan Taimourei-Yansary, Ali Riahi

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A model for detecting abnormal claims in crop insurance using deep learning by Yaqub Ahmadlou, Alireza pourebrahimi, jafar tanha, Ali Rajabzadeh Ghatari

Subjects: “…anomaly detection…”
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Proposing a Method for Anomaly Detection in Trajectory of Patients With Alzheimer’s Disease Using Mobile GPS Data and Combination of Deep Neural Network and Adaptive Neuro-fuzzy Inference System by Mojtaba Banifakhr, Mohammad Taghi Sadeghi

Subjects: “…anomaly detection…”
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Hybrid Deep Learning Techniques for Plant Pathogen and Disease Diagnosis using the Internet of Bio-Nano Things by Ramanathan Udayakumar

“…The utilization of current Machine Learning (ML) anomaly detection techniques is hindered by the complexity of parameters and the intricate correlations that exist among BBI traffic parameters. …”
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A Conceptual Framework for Preprocessing and Improving Quality of Event Log in Process Mining by Ahmad Salehi, Mohammad Aghdasi, Toktam Khatibi, Majid Sheikhmohammady

“…Then, the basic steps for data preprocessing and cleaning tasks are defined, which include the activities of “repair”, “anomaly detection”, “filtering”, and “dimensional reduction. …”
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Application of Data Mining in Tax Processes Improvement: A Literature Review and Classification by Reza Majidi, Negar Khosravipour, Elham Akhondzadeh Noughabi

“…The classification framework for data mining techniques in this study was defined as clustering, association analysis, classification and prediction, regression, time series, anomaly detection, and visualization.Results: According to the obtained findings, most of the reviewed studies were assigned to the inspection process, 94 percent of which worked on the practical domain of “risk-based tax audit selection”. …”
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