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Partha Pratim Ray and Dinesh Dash
Anomaly detection in the smart application domain can significantly improve the quality of data processing, especially when the size of a dataset is too small. Internet of Things (IoT) enables the development of numerous applications where sensor-data-aw...
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Osamah AlKhazali, Hooi Hooi Lean and Taisier Zoubi
This paper examines whether small Islamic firms? returns stochastically dominate (outperform) the returns of large Islamic firms using Ascending and Descending Stochastic Dominance (ASD and DSD) approaches. In other words, we investigate the size anomaly...
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Bayram Veli Salur and Cumhur Ekinci
We examine whether investor sentiment can explain anomalies such as size and book-to-market in the US stock market. Differently from the literature, we test combination portfolios (portfolios formed on more than one factor such as size, book-to-market ra...
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Farzin Piltan and Jong-Myon Kim
Bearing anomaly recognition using an intelligent digital twin integrated with machine learning.
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Marilena Pannone
Pág. 1 - 17
The characteristics of solute transport within log-conductivity fields represented by power-law semi-variograms are investigated by an analytical Lagrangian approach that accounts for the automatic frequency cut-off induced by the initial contaminant plu...
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Supramono Supramono,Widhiastuti Wilis,I. Utami
Pág. 183 - 188
This event study investigates the Indonesian capital market reaction to the announcement of cabinet reshuffle as a major political event in Indonesia. We also detect the possibility of size effect anomaly related to this political event. Consequently, we...
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Milad Memarzadeh, Ata Akbari Asanjan and Bryan Matthews
Identifying safety anomalies and vulnerabilities in the aviation domain is a very expensive and time-consuming task. Currently, it is accomplished via manual forensic reviews by subject matter experts (SMEs). However, with the increase in the amount of d...
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Jingyi Chang, Yuanyuan Li and Hailong Lu
Pyrites are widely distributed in marine sediments, the morphology of which is applied as a proxy to infer the redox conditions of bottom water, and identify diagenetic stages and hydrocarbon leakage activities. In this review, the methods used for the m...
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Farzin Piltan, Cheol-Hong Kim and Jong-Myon Kim
Bearings cause the most breakdowns in induction motors, which can result in significant economic losses. If faults in the bearings are not detected in time, they can cause the whole system to fail. System failures can lead to unexpected breakdowns, threa...
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Ganesh R. Ghimire, Sanjib Sharma, Jeeban Panthi, Rocky Talchabhadel, Binod Parajuli, Piyush Dahal and Rupesh Baniya
Improving decision-making in various areas of water policy and management (e.g., flood and drought preparedness, reservoir operation and hydropower generation) requires skillful streamflow forecasts. Despite the recent advances in hydrometeorological pre...
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The seasonal (March to October) and interannual variability of the cumulative distribution function (CDF) of precipitation is examined for Meso-America, the eastern Pacific and western Atlantic, commonly re- ferred to as the intra-Americas sea (IAS). Lar...
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Irina Teryokhina
Pág. 21 - 27
The paper discusses the problem of process mining with further anomalies detection for constructed process models. The algorithms extension for the case of several running processes with some restrictions on their structure has been investigated. An acyc...
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Irina Teryokhina
Pág. 21 - 27
The paper discusses the problem of process mining with further anomalies detection for constructed process models. The algorithms extension for the case of several running processes with some restrictions on their structure has been investigated. An acyc...
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D.E. Savitsky,M.E. Dunaev,K.S. Zaytsev
Pág. 70 - 76
The purpose of this work is to study methods for detecting anomalies in the processing of data streams in distributed streams in real time. To do this, the authors carried out a modification of the K-Means algorithm, called K-Means in real time, and carr...
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Huanghuang Jin, Hong Wang and Zhihong Zhuang
Since submarines are mostly made of ferromagnetic materials, anti-submarine warfare aircraft detect submarines using all kinds of magnetometers. In order to make the submarine magnetically silent, it is usually equipped with degaussing coils to neutraliz...
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Minki Hong, Hanse Ahn, Othmane Atif, Jonguk Lee, Daihee Park and Yongwha Chung
Failure to quickly and accurately detect abnormal situations, such as the occurrence of infectious diseases, in pig farms can cause significant damage to the pig farms and the pig farming industry of the country. In this study, we propose an economical a...
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Xiao Li, Da Huo, Daniel W. Goldberg, Tianxing Chu, Zhengcong Yin and Tracy Hammond
Road anomaly detection is essential in road maintenance and management; however, continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and high-efficiency solution remains a challenging research question. In this study, we p...
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Xuan Dau Hoang and Quynh Chi Nguyen
In recent years, botnets have become one of the major threats to information security because they have been constantly evolving in both size and sophistication. A number of botnet detection measures, such as honeynet-based and Intrusion Detection System...
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Xuan Dau Hoang and Quynh Chi Nguyen
In recent years, botnets have become one of the major threats to information security because they have been constantly evolving in both size and sophistication. A number of botnet detection measures, such as honeynet-based and Intrusion Detection System...
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Alexandre Schwinden Garcia,André Alves Portela Santos
Pág. 81 - 122
This article estimates for the Brazilian market the multifactor pricing model proposed by Fama and French (2015, 2016) and provides a detail of five anomalies: beta, net share issues, momentum, volatility and accruals. The results indicate that the inclu...
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