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  • Parallel Per Tile Isoline Generation: Towards Efficient Web Based Geospatial Analysis
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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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?

Parallel Per Tile Isoline Generation: Towards Efficient Web Based Geospatial Analysis

.
Onyekwelu U. F., Rodriges Zalipynis R. A.
In press

TBD

Language: English
Keywords: Tensor DBMS

In book

Supercomputing. RuSCDays 2026. Lecture Notes in Computer Science (LNCS). Revised Selected Papers.
Switzerland: Springer, 2026.
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With the escalating frequency and intensity of global wildfires, there is an urgent need for predictive models that balance accuracy with operational practicality. Building upon the TFDeepNN wildfire prediction framework of Truong et al. [1], this study develops a deep learning framework for wildfire risk assessment in Vietnam’s An Giang province, focusing on early detection ...
Added: September 2, 2026
Challenges in Building and Visualizing Isolines on Tile-Based Data Quickly and Accurately
Onyekwelu U. F., Rodriges Zalipynis R. A., , in: Proceedings of the 2026 Fourth International Conference on Distributed Computing and High Performance Computing (DCHPC).: IEEE, 2026. P. 1–18.
Modern web-based geospatial applications increasingly demand client-side processing of large scientific datasets. Web Tensor DBMSs (WT-DBMS) such as WebArrayDB enable browsers to receive and process raw tensor data through tile-based delivery mechanisms (such as WMTS with GeoTIFF tiles), shifting computational load from servers to clients. However, generating isolines from tile-based data presents fundamental challenges in ...
Added: September 2, 2026
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The book contains full papers in Russian, short papers and poster abstracts included in the agenda of the International Conference “Russian Supercomputing Days”. ...
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