M. Dakshayini

14 papers Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multim. Tools Appl.
Abhilasha Varshney, M. Dakshayini, H. L. Gururaj, Yu-Chen Hu
2023 J jnl
Int. J. Adv. Intell. Paradigms
M. Dakshayini, P. M. Rekha
2022 J jnl
Int. J. Adv. Intell. Paradigms
B. S. Rajeshwari, M. Dakshayini
2021 J jnl
Multim. Tools Appl.
M. Dakshayini, R. Rashmi
2021 J jnl
Int. J. Grid High Perform. Comput.
Balaji Prabhu B. V., M. Dakshayini
2020 J jnl
Int. J. Web Based Learn. Teach. Technol.
Balaji Prabhu B. V., M. Dakshayini
2020 J jnl
Int. J. Grid High Perform. Comput.
Balaji Prabhu B. V., M. Dakshayini
2019 J jnl
Clust. Comput.
P. M. Rekha, M. Dakshayini
2018 conf
ICACCI
Siddartha Shankar, M. Dakshayini
2010 J jnl
CoRR
M. Dakshayini, T. R. Gopalakrishnan Nair
2010 J jnl
CoRR
M. Dakshayini, T. R. Gopala Krishnan Nair
2010 J jnl
CoRR
M. Dakshayini, T. R. Gopalakrishnan Nair
2010 J jnl
CoRR
T. R. Gopalakrishnan Nair, M. Dakshayini
2009 J jnl
CoRR
M. Dakshayini, T. R. Gopalakrishnan Nair
redb/extractors/js_extractors/scripts/package.json
← Index redb/extractors/js_extractors/scripts/package.json json
{
  "name": "redb-js-xray-runner",
  "private": true,
  "description": "Node bridge that runs @nodesecure/js-x-ray for the Python JS pipeline. Run `npm install` here once, then point JS_XRAY_RUNNER_PATH at js-xray-runner.js (it defaults to this directory).",
  "version": "0.1.0",
  "main": "js-xray-runner.js",
  "scripts": {
    "postinstall": "patch-package"
  },
  "dependencies": {
    "@nodesecure/js-x-ray": "^7.0.0",
    "patch-package": "^8.0.1"
  }
}