[HTML][HTML] Utilizing machine learning on freight transportation and logistics applications: A review
This review article explores and locates the current state-of-the-art related to application
areas from freight transportation, supply chain and logistics that focuses on arrival time …
areas from freight transportation, supply chain and logistics that focuses on arrival time …
K-medoids clustering and fuzzy sets for isolation forest
Capturing anomalies in data is one of the most important problems in modern data analysis.
In recent years, scientists have developed many interesting approaches. One of the leading …
In recent years, scientists have developed many interesting approaches. One of the leading …
Detection and classification of anomalies in large datasets on the basis of information granules
Anomaly (outlier) detection is one of the most important problems of modern data analysis.
The sources of anomalies are varying. They can be the results of database users' mistakes …
The sources of anomalies are varying. They can be the results of database users' mistakes …
Random clustering-based outlier detector
Outlier detection is one of the most important issues in contemporary data analysis. At
present, many methods are employed for anomaly and outlier detection, but there is still no …
present, many methods are employed for anomaly and outlier detection, but there is still no …
Choquet integral-based aggregation for the analysis of anomalies occurrence in sustainable transportation systems
Anomaly detection is one of the most important problems of modern data science due to the
threat to the security of information systems as well as their users. This applies in particular …
threat to the security of information systems as well as their users. This applies in particular …
[HTML][HTML] The use of information granules to detect anomalies in spatial behavior of animals
Nowadays, in the era of automation of ecological measurements, more and more often we
are dealing with large data sets in which various unexpected anomalies may occur. Their …
are dealing with large data sets in which various unexpected anomalies may occur. Their …
Valuation of marine areas for merchant ship**: an attempt at ship** spatial rent valuation based on Polish Marine Areas
As part of the progressive process of extending spatial plans to cover an increasing number
of marine areas, with the aim of objectively balancing the interests of various users of the …
of marine areas, with the aim of objectively balancing the interests of various users of the …
Intuitively adaptable outlier detector
K Kiersztyn - Statistical Analysis and Data Mining: The ASA …, 2022 - Wiley Online Library
Nowadays, we have been dealing with a large amount of data in which anomalies occur
naturally for many reasons, both due to hardware and humans. Therefore, it is necessary to …
naturally for many reasons, both due to hardware and humans. Therefore, it is necessary to …
Fuzzy rule-based outlier detector
The problem of detecting outliers in data is a widely discussed issue. The sources of outliers
vary and can come from system errors, or human mistakes. Due to the constantly increasing …
vary and can come from system errors, or human mistakes. Due to the constantly increasing …
[HTML][HTML] A decision-making system for medical transportation mode using machine learning methods
S Khodabakhshi, MAA Habib, W Peng - Engineering Proceedings, 2024 - mdpi.com
The freight transportation system faces complex operations globally to meet customer
demands. Intense competition prompts companies to enhance performance. Transportation …
demands. Intense competition prompts companies to enhance performance. Transportation …