21 hasil untuk "Stan Matwin"
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Artikel Jurnal
A comparative case study on the performance of global sensitivity analysis methods on digit classification
Abstract Global sensitivity analysis seeks to detect influential input factors contributing to a black-box model’s specific decisions. This aligns with a key objective of AI explainability: Clarifying and interpreting the behavior of machine learning algorithms by identifying the features that…
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A novel machine learning approach to analyzing geospatial vessel patterns using AIS data
In the maritime environment, the Automatic Identification System (AIS) contains information related to vessel trajectories that can be used to detect unusual maritime occurrences and maritime traffic patterns. To detect such occurrences with supervised learning methods the AIS messages must be…
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Artikel Jurnal
Dynamics of emotion trends in Canadian Twitter users during COVID-19 confinement in relation to caseloads: Artificial intelligence-based emotion detection approach
Multiple waves of COVID-19 have significantly impacted the emotional well-being of all, but many were subject to additional risks associated with forced regulations. The objective of this research was to assess the immediate emotional impact, expressed by Canadian Twitter users, and to estimate the…
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Artikel Jurnal Teks lengkap
A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels
Automatic Identification System (AIS) messages are useful for tracking vessel activity across oceans worldwide using radio links and satellite transceivers. Such data play a significant role in tracking vessel activity and mapping mobility patterns such as those found during fishing activities…
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Artikel Jurnal
Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning
The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered. Such data comes from the oceans and their surface, such as Automatic Identification System (AIS) messages used for tracking vessels’ trajectories. AIS messages are…
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Artikel Jurnal Teks lengkap
Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning
A key challenge in contemporary ecology and conservation is the accurate tracking of the spatial distribution of various human impacts, such as fishing. While coastal fisheries in national waters are closely monitored in some countries, existing maps of fishing effort elsewhere are fraught with…
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Correction: Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning
[This corrects the article DOI: 10.1371/journal.pone.0158248.].
Juga tersedia di: DOAJ
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Artikel Jurnal
Risk-Aware Individual Trajectory Data Publishing With Differential Privacy
Large-scale spatiotemporal data mining has created valuable insights into managing key areas of society and the economy. It has encouraged data owners to release/publish trajectory datasets. However, the ill-informed publication of such valuable datasets may lead to serious privacy implications for…
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Artikel Jurnal
Examining the impact of cross-domain learning on crime prediction
Abstract Nowadays, urban data such as demographics, infrastructure, and criminal records are becoming more accessible to researchers. This has led to improvements in quantitative crime research for predicting future crime occurrence by identifying factors and knowledge from instances that…
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Artikel Jurnal
Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models
Abstract Aquatic non-indigenous species (NIS) pose significant threats to biodiversity, disrupting ecosystems and inflicting substantial economic damages across agriculture, forestry, and fisheries. Due to the fast growth of global trade and transportation networks, NIS has been introduced and…
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Artikel Jurnal
Monitoring harmful algae blooms in Darlings Lake, New Brunswick, using K-means clustering of multi-spectral imagery
Darlings Lake, located in the Saint John River watershed, Canada, experienced lake-wide cyanobacteria blooms in the summers of 2021 and 2022. This study uses high spatial and temporal resolution satellite imagery from Planet Labs (Planet Labs, Inc., San Francisco, CA, United States of America) to…
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Artikel Jurnal Teks lengkap
A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics
With the recent increase in the use of sea transportation, the importance of maritime surveillance for detecting unusual vessel behavior related to several illegal activities has also risen. Unfortunately, the data collected by surveillance systems are often incomplete, creating a need for the data…
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Association between surgical wait time and hospital length of stay in primary total knee and hip arthroplasty
Aims: In countries with social healthcare systems, such as Canada, patients may experience long wait times and a decline in their health status prior to their operation. The aim of this study is to explore the association between long preoperative wait times (WT) and acute hospital length of stay…
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Buku Teks lengkap
Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings
An ever-increasing number of diverse, real-life applications, ranging from mobile to social media apps and surveillance systems, produce massive amounts of spatio-temporal data representing trajectories of moving objects. The fusion of those trajectories, commonly represented by timestamped…
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Artikel Jurnal Teks lengkap
Aircraft Fuselage Corrosion Detection Using Artificial Intelligence
Corrosion identification and repair is a vital task in aircraft maintenance to ensure continued structural integrity. Regarding fuselage lap joints, typically, visual inspections are followed by non-destructive methodologies, which are time-consuming. The visual inspection of large areas suffers…
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Artikel Jurnal
Maritime tracking data analysis and integration with AISdb
Efficiently handling Automatic Identification System (AIS) data is vital for enhancing maritime safety and navigation, yet is hindered by the system’s high volume and error-prone datasets. This paper introduces the Automatic Identification System Database (AISdb), a novel tool designed to address…