9 hasil untuk "Daniel Aloise"
Menampilkan 1–9 · 2,20 detik · RSS
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Artikel Jurnal
A data-driven model for safety risk identification from flight data analysis
Most aviation accidents take place in the final phase of a flight. One possible accident is the runway overrun - the fact that an aircraft leaves the runway unexpectedly on landing. Even though such accidents are well documented and studied in the aviation industry, this paper aims at identifying…
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Artikel Jurnal
An analytics framework for graph-based anomaly detection in healthcare time series
Anomaly detection in time series plays a vital role in diverse domains such as healthcare, finance, and industrial monitoring, where identifying deviations from normal behavior can signal critical events. While traditional methods often focus on univariate time series and assume fixed temporal…
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Artikel Jurnal
On the simultaneous computation of target inventories and intervals for bimodal bike-sharing systems
The emerging demand for electric bicycles in recent years has prompted several Bike-Sharing Systems around the world to adapt their service to a new wave of commuters. Many of these systems have incorporated electric bikes into their network while still maintaining the use of regular mechanical…
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Artikel Jurnal Teks lengkap
A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis
Advances in technology and computing power have led to the emergence of complex and large-scale software architectures in recent years. However, they are prone to performance anomalies due to various reasons, including software bugs, hardware failures, and resource contentions. Performance metrics…
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Artikel Jurnal Teks lengkap
On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts
When a natural disaster occurs, humanitarian organizations need to be prompt, effective, and efficient to support people whose security is threatened. Satellite imagery offers rich and reliable information to support expert decision-making, yet its annotation remains labour-intensive and tedious…
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Artikel Jurnal
Anomaly detection in microservice environments using distributed tracing data analysis and NLP
Abstract In recent years DevOps and agile approaches like microservice architectures and Continuous Integration have become extremely popular given the increasing need for flexible and scalable solutions. However, several factors such as their distribution in the network, the use of different…
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Artikel Jurnal
Received Signal Strength Indicator Prediction for Mesh Networks in a Real Urban Environment Using Machine Learning
Mesh networks are self-managing wireless systems with dynamic topology. These networks differ from broadcast and mobile networks because their mesh nodes can directly exchange information without the intervention of any other infrastructure. However, the radio propagation environment in urban…
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Artikel Jurnal
Dynamic rebalancing for Bike-sharing systems under inventory interval and target predictions
Bike-sharing systems have become a popular transportation alternative. Unfortunately, station networks are often unbalanced, with some stations being empty, while others being congested. Given the complexity of the underlying planning problems to rebalance station inventories via trucks, many…
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Artikel Jurnal
Hemothorax from a Thoracic Chalk-Stick Fracture in Ankylosing Spondylitis: A Case Report
Introduction: Chalk-stick fractures are transverse spinal injuries seen in patients with ankylosing spondylitis due to chronic inflammation and spinal rigidity. These fractures may result from minor trauma and are associated with potentially fatal complications. While spinal fractures in ankylosing…