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Found 4 papers, 3 papers with code
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish
Historical corpora are known to contain errors introduced by OCR (optical character recognition) methods used in the digitization process, often said to be degrading the performance of NLP systems.
A Simplified Framework for Air Route Clustering Based on ADS-B Data
The volume of flight traffic gets increasing over the time, which makes the strategic traffic flow management become one of the challenging problems since it requires a lot of computational resources to model entire traffic data.
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language
Measuring the semantic similarity of different texts has many important applications in Digital Humanities research such as information retrieval, document clustering and text summarization.
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach
This study aims to propose effective modeling and approach for designing a logistics network in the urban area in order to offer an efficient flow distribution network as a competitive strategy in the logistics industry where demand is sensitive to both price and time.
