Titlebook: Rural Technology Development and Delivery; Sreenivas Chigullapalli,S. U. Susha Lekshmi,Abhiji Conference proceedings 2023 The Editor(s) (i

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ces to resolve all necessary physical phenomena. In contrast, once trained, artificial neural networks such as deep encoder-decoder convolutional networks allow to predict aeroacoustics at lower cost and, depending on the quality of the employed network, also at high accuracy. The architecture for s

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VEIL

Yashwant Prasad,Subir Kumar Sahaation of said instabilities is concerned with highly non-linear dynamics. Currently, three main methods are used for understanding of such phenomena – namely analytical and statistical models, experiments, and simulations – and all of them are primarily investigated and correlated using human expert

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Nikhilesh Bagade,Bakul Rao,S. B. Kedare,Shraddha Vekhande,Vijay Honkalaskaruting (HPC) applications. Recent studies show that cutting-edge Real-Time applications, such as those for unmanned vehicles, can successfully exploit these models. In this scenario, OpenMP is a de facto standard for HPC, and is being studied for Real-Time systems due to its time-predictability and d

atopic

Tandra Mondal,Pranab Kumar Nags of the loss/cost function of a Neural Network. Most pieces of work in the area of PINNs tackle . PDEs. Nevertheless, many interesting problems involving linear PDEs may benefit from PINNs; these include parametric studies, multi-query problems, and parabolic (transient) PDEs. The purpose of this p

BRIBE

Karve Anand Dinakareral open-source software executed by Parsl parallel scripting language in an high-performance computing environment. We have applied the workflow to a single-cardiomyocyte RNA-seq data retrieved from Gene Expression Omnibus database. The workflow allows for the analysis (alignment, QC, sort and cou

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Rupali Khanolkar,Pratik Naik,Anand B. Raor users. The goal of the present work is to estimate the execution time of simulation applications driven by multiscale numerical methods. In computational terms, these methods induce a two-stage simulation process. Fundamentally, the number of possibilities for configuring this two-stage process te

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