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Roadmap on artificial intelligence and big data techniques for superconductivity
Title Roadmap on artificial intelligence and big data techniques for superconductivity Author Yazdani Asrami M. Co-authors Song W.J. Morandi A. De Carne G. Pardo Enric 1977 SAVELEK - Elektrotechnický ústav SAV ORCID Co-authors Murta-Pina Joao Source document Superconductor Science and Technology. Vol. 36 (2023), no. 043501 Language eng - English Country GB - Great Britian Document kind rozpis článkov z periodík (rbx) Citations YADAV, Dhananjay - VENNILA, C. - SONALI, P. - DODA, Devendra Kumar - SIVAKUMAR, Srinivas - DEHANKAR, Pooja. Applying Artificial Intelligence Techniques for Optimizing Big Data Retrieval Performance. In Proceedings 2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario, ICPSITIAGS 2023, 2023-01-01, pp. 67-73. Dostupné na: https://doi.org/10.1109/ICPSITIAGS59213.2023.10527562. XIA, Lingxi - LIANG, Yung C. AlGaN/GaN Split-Electrode Sectorial Sensor Array for Ultra-Low Magnetic Field Detection at 8 μT. In 2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023, 2023-01-01, pp. 209-212. Category ADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted) Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2023 Registered in WOS Registered in SCOPUS Registered in CCC DOI 10.1088/1361-6668/acbb34 article
File name Access Size Downloaded Type License Roadmap on artificial intelligence.pdf available 6.9 MB 1 Publisher's version rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2023 2022 3.6 Q2 1.191 Q1
Number of the records: 1