# PWCT: Visual Language for IoT and Cloud Computing Applications and Systems

arXiv: https://arxiv.org/abs/1712.09052 · HTML: https://mlsanity.com/paper/1712.09052/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Dec 2017.

## Built on by (most cited first, 3 of 3)

- [Classification of the Chess Endgame problem using Logistic Regression, Decision Trees, and Neural Networks](https://mlsanity.com/paper/2111.05976/) (2021)
- [Modelling of Received Signals in Molecular Communication Systems based machine learning: Comparison of azure machine learning and Python tools](https://mlsanity.com/paper/2112.10214/) (2021)
- [Predicting electrode array impedance after one month from cochlear implantation surgery](https://mlsanity.com/paper/2205.10021/) (2022)

## Abstract (arXiv)

Developing IoT, Data Computing and Cloud Computing software requires different programming skills and different programming languages. This cause a problem for many companies and researchers that need to hires many programmers to develop a complete solution. The problem is related directly to the financial cost and the development time which are very important factors to many research projects. In this paper we present and propose the PWCT visual programming tool for developing IoT, Data Computing and Cloud Computing Applications and Systems without writing textual code directly. Using PWCT increase productivity and provide researchers with one visual programming tool to develop different solutions.