Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Rahul P. Kumar"'
Autor:
Varatharajan Nainamalai, Pravda Jith Ray Prasad, Egidijus Pelanis, Bjørn Edwin, Fritz Albregtsen, Ole Jakob Elle, Rahul P. Kumar
Publikováno v:
European Journal of Radiology Open, Vol 9, Iss , Pp 100448- (2022)
Purpose: Automated algorithms for liver parenchyma segmentation can be used to create patient-specific models (PSM) that assist clinicians in surgery planning. In this work, we analyze the clinical applicability of automated deep learning methods tog
Externí odkaz:
https://doaj.org/article/150f4ad6db00406aa0ce54ec54e7ba02
Publikováno v:
IEEE Access, Vol 12, Pp 165708-165735 (2024)
Proton Exchange Membrane Fuel Cell (PEMFC) systems represent a crucial clean energy component, offering a sustainable alternative to traditional power sources. However, ensuring the dependable and optimal performance of PEMFC systems is essential for
Externí odkaz:
https://doaj.org/article/4cb37aa3a01e47e1bccacbb8746bce59
Autor:
Alex Masaea, Martin Kubokale, Amit Krishan Kumar, Rahul R. Kumar, Mansour H. Assaf, Sushil Kumar
Publikováno v:
IEEE Access, Vol 12, Pp 128662-128676 (2024)
Ground simulation methods have gained significant research attention due to their effectiveness. We propose a ground simulation method for space laser communication with a transmission distance of 53,000 km in free space using the laser as a means of
Externí odkaz:
https://doaj.org/article/66a16daef62b48f1ac107241f5becbb2
Autor:
Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Rahul Ranjeev Kumar
Publikováno v:
IEEE Access, Vol 12, Pp 111411-111421 (2024)
Gears are widely recognized as crucial components for power connections and transmission owing to their substantial loading capacity, transmission efficiency, and consistent power output. Given their complexity, they are prone to faults and require c
Externí odkaz:
https://doaj.org/article/a3bc2c09bdbd4e79b291c8d7a5a9da88
Publikováno v:
Information, Vol 15, Iss 5, p 259 (2024)
This study introduces a novel approach for fault classification in bearing components utilizing raw accelerometer data. By employing various neural network models, including deep learning architectures, we bypass the traditional preprocessing and fea
Externí odkaz:
https://doaj.org/article/bec1a2b9a947497ea071253a4fc27bc3
Akademický článek
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Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
ObjectiveTo report findings of pilot study using a novel point of care (POC) intraoperative parathyroid hormone (IOPTH) assay for parathyroid hormone (PTH) using whole blood during surgery for primary hyperparathyroidism (PHPT).MethodsPatients underg
Externí odkaz:
https://doaj.org/article/ba554d61b51246cab91b261c03b457d3
Publikováno v:
Energies, Vol 16, Iss 10, p 4160 (2023)
This paper presents an estimation of the parameters for a Double Layer Super Capacitor (DLC) that is modelled with a two-branch circuit. The estimation is achieved using a constrained minimization technique, which is developed off-line and uses a sin
Externí odkaz:
https://doaj.org/article/0beb036269b34ceca79cd2d08b34bd5b
Akademický článek
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Publikováno v:
Frattura ed Integrità Strutturale, Vol 14, Iss 53, Pp 26-37 (2020)
This paper reports on the development of a methodology for evaluating the fatigue damage evolution in single and double lap adhesively bonded joints subjected to constant and variable fatigue loading. First, a methodology is developed to monitor the
Externí odkaz:
https://doaj.org/article/12afc5de37264c6caf8f8b4cae4cf3d7