On new stream algorithms generating sensitive digests of computer files by Vasyl Ustymenko, Oleksandr Pustovit

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A Streaming Algorithm for Online Estimation of Temporal and Spatial Extent of Delays by Kittipong Hiriotappa, Suttipong Thajchayapong, Pimwadee Chaovalit, Suporn Pongnumkul

“…The proposed algorithm also outperforms the previously proposed streaming algorithm.…”
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Enhancing the Efficiency of Routing Strategies in WSNs Using Live Streaming Algorithms by Hayder Jasim Alhamdane, Mohsen Nickray

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Narrative Innovation In The Age Of Streaming: Algorithmic Storytelling And The Anthological Aesthetics Of Love, Death & Robots by Houssem Eddine MERZOUGUI

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Analisis Sentimen: Pengaruh Jam Kerja Terhadap Kesehatan Mental Generasi Z by Muhammad Daffa Al Fahreza, Ardytha Luthfiarta, Muhammad Rafid, Michael Indrawan

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Stemming of Slovenian library science texts by Polona Vilar, Jasna Maver

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Processing morphological variants in searches of Latin text by Mark Greengrass, Alexander M. Robertson, Robyn Schinke, Peter Willett

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An annotated morphological dataset for Uzbek word forms: Towards rule-based and machine learning approachesMendeley Data by Nilufar Abdurakhmonova, Raima Shirinova, Rano Sayfullayeva, Davlatyor Mengliev, Bahodir Ibragimov, Manzura Ernazarova

“…Two morphological analysis approaches were implemented and compared: a user-defined rule-based stemming algorithm and a conditional random fields (CRF)-based machine learning model. …”
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Evaluation of a Plasmon-Based Optical Integrated Circuit for Error-Tolerant Streaming Applications by Samantha Lubaba Noor, Xuan Wu, Dennis Lin, Pol van Dorpe, Francky Catthoor, Patrick Reynaert, Azad Naeemi

“…In this work, we have designed and modeled an integrated plasmonic computing module, which operates at 200 GHz clock frequency for high-end streaming algorithm applications. Our work includes designing the individual optical components (modulator, logic gate, and photodetector) and high-speed electronic driver circuits and integrating the components considering their interactions. …”
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Deep learning techniques for sentiment analysis in code-switched Hausa-English tweets by Yusuf Aliyu, Aliza Sarlan, Kamaluddeen Usman Danyaro, Abdullahi Sani abd Rahman, Aminu Aminu Muazu, Mustapha Yusuf Abubakar

“…This paper proposes an efficient hyperparameter tuning framework and a novel stemming algorithm for the Hausa language. The framework leverages word embeddings to determine the polarity scores of code-mixed tweets and enhances the accuracy of sentiment analysis models in low-resource language. …”
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Stemming as a basis for some non-conventional methods of information retrieval by Polona Vilar, Jure Dimec

“…Stemming is a process of text processing us¬ing stemming algorithms, the purpose of which is an automated selection of indexing terms used for content description. …”
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A novel multi-step methodology for stochastic simulation of streamflow time series using PcStream clustering by Shalini Balaram, Roshan Srivastav, K Srinivasan

“…The methodology followed by the proposed model involves a series of steps that begin with fitting kappa and Generalized Extreme Value GEV distributions to model daily variations and extreme values, followed by clustering data using the PcStream algorithm. A Markov chain model regenerates cluster series while the nearest neighbour approach fills them with historical data. …”
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