Search Results - "Rajendran, Parvathy"
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Source: Technical Journal / Tehnički Glasnik; Mar2026, Vol. 20 Issue 1, p16-22, 7p
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Source: Technical Journal / Tehnički Glasnik; Mar2026, Vol. 20 Issue 1, p9-15, 7p
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Resource Type: eBook.
Subjects: Aerospace engineering
Categories: TECHNOLOGY & ENGINEERING / Engineering (General)
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Source: Multimedia Tools & Applications; Nov2025, Vol. 84 Issue 38, p47101-47125, 25p
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Source: Neural Computing & Applications; Jul2023, Vol. 35 Issue 21, p15615-15627, 13p
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Source: International Journal on Interactive Design & Manufacturing; May2025, Vol. 19 Issue 5, p3707-3723, 17p
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Source: Energy Science & Engineering; May2025, Vol. 13 Issue 5, p2455-2479, 25p
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Source: International Journal of Low Carbon Technologies; 2023, Vol. 18, p13-30, 18p
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Source: Applied Sciences (2076-3417); Nov2022, Vol. 12 Issue 22, p11367, 17p
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Source: International Journal of Low Carbon Technologies; 2022, Vol. 17, p784-806, 23p
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Source: Applied Sciences (2076-3417); Sep2021, Vol. 11 Issue 18, p8364, 32p
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Source: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications; Aug-Nov 2021, Vol. 62 Issue 3/4, p415-433, 19p
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Source: International Journal of Reconfigurable & Embedded Systems; Mar2025, Vol. 14 Issue 1, p157-164, 8p
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Source: Applied Sciences (2076-3417); 3/15/2021, Vol. 11 Issue 6, p2699, 30p
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Source: Applied Sciences (2076-3417); Feb2021, Vol. 11 Issue 3, p1334, 22p
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Source: Engineering Applications of Artificial Intelligence. Feb2026:Part B, Vol. 165, pN.PAG-N.PAG. 1p.
Subjects: Aerial photographs, Object recognition (Computer vision), Statistical accuracy, Machine learning
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Source: Alexandria Engineering Journal. Feb2023, Vol. 65, p997-1029. 33p.
Subjects: Mach number, Artificial neural networks, Convolutional neural networks, Supersonic flow, Surface analysis, Compressible flow