# An Optimized Framework to Adopt Computer Laboratory Administrations for Operating System and Application Installations

arXiv: https://arxiv.org/abs/2105.02147 · HTML: https://mlsanity.com/paper/2105.02147/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 May 2021.

## Built on by (most cited first, 5 of 5)

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- [Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star](https://mlsanity.com/paper/2107.04781/) (2021)
- [An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images](https://mlsanity.com/paper/2206.04056/) (2022)
- [Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption](https://mlsanity.com/paper/2407.16274/) (2024)
- [Reducing Formal Context Extraction: A Newly Proposed Framework from Big Corpora](https://mlsanity.com/paper/2504.06285/) (2025)

## Abstract (arXiv)

Nowadays, in most of the fields, task automation is area of interest and research due to that manual execution of a task is error prone, time consuming, involving more human resources and focus concerning. In the area of Computer laboratory administration, the old fashioned administration cannot run with todays growth, where the Operating System (OS) and required applications are installed on all the machines one by one. Therefore, a framework for automating Lab administration in regards of Operating Systems and Application installations will be proposed in this research. Affordability, simplicity, usability are taken into major consideration. All the parts of the framework are implemented and illustrated in detail which promotes a great enhancement in the area of Computer Lab Administration.