A new modification of the isolation forest called the attention-based isolation forest
(ABIForest) is proposed for solving the anomaly detection problem. It incorporates an …

Credit card payment is increasing day by day. This leads to expanding digitization of
banking administrations and versatile financial applications. A large number of transactions …

Detecting anomalies at the time of happening is vital in environments like buildings and
homes to identify potential cyber-attacks. This paper discussed the various mechanisms to …

As the power grid undergoes transformation and the Internet's influence grows, the electricity
market is evolving towards informatization. The expanding scale of the power grid and the …

This paper presents an approach for automatic anomaly detection through vibration analysis
based on machine learning algorithms. The study focuses on induction motors in a …

As the power grid undergoes transformation and the Internet's influence grows, the electricity
market is evolving towards informatization. Traditional power marketing methods struggle to …

We show that Isolation Forest (IF) is an effective tool for radiometric outlier identification. By
applying IF on airborne gamma-ray spectrometry data recorded in a region where Rare …

The service time of Road-Side Units (RSUs) for vehicle users will directly affect the Quality of
Service (QoS) in the Internet of Vehicles (IoV), and it is related to the traffic flow and service …

The rapid development in information technology has led to the generation of huge amounts
of data from various aspects of life. This data flows constantly, enhancing the decision …

Summary We show that Isolation Forest (IF) is an effective tool for radiometric outlier
identification. By applying IF on airborne gamma-ray spectrometry data recorded in a region …