# Algorithms in Low-Code-No-Code for Research Applications: A Practical Review
## 6 Demonstration of LCNC Adoption in Modern Research
* (11) [PERSON]; [PERSON]; [PERSON] Low code platforms: Promises, concepts and prospects. A comparative study of ten systems. _ICB Res. Rep._**2021**. [CrossRef]
* (12) [PERSON] COVID-19 is Driving Demand for Low-Code Apps, Techcrunch. 27 August 2020. [Online]. Available online: [[https://techcrunch.com/2020/08/27/covid-19-is-driving-demand-for-low-code-apps/](https://techcrunch.com/2020/08/27/covid-19-is-driving-demand-for-low-code-apps/)]([https://techcrunch.com/2020/08/27/covid-19-is-driving-demand-for-low-code-apps/](https://techcrunch.com/2020/08/27/covid-19-is-driving-demand-for-low-code-apps/)) (accessed on 6 February 2023). * (13) Garnten. Garnten Forecasts Worldwide Low-Code Development Technologies Market to Group 20% in 2023, Garnten. 13 December 2022. [Online]. Available online: [[https://www.gartner.com/en/newsroom/press-releases/2022-12-13-garnten-forecasts-worldwide-low-code-development-technologies-market-to-grow-20-percent-in-2023#-](https://www.gartner.com/en/newsroom/press-releases/2022-12-13-garnten-forecasts-worldwide-low-code-development-technologies-market-to-grow-20-percent-in-2023#-)]([https://www.gartner.com/en/newsroom/press-releases/2022-12-13-garnten-forecasts-worldwide-low-code-development-technologies-market-to-grow-20-percent-in-2023#-](https://www.gartner.com/en/newsroom/press-releases/2022-12-13-garnten-forecasts-worldwide-low-code-development-technologies-market-to-grow-20-percent-in-2023#-))[]:text=Business%20 Technologists%2C%20 Hyperautomation%20 and%20 Composability,latest%20 forecast%20f (accessed on 6 February 2023). * (14) [PERSON]; [PERSON]; [PERSON] Low-code application platform in meeting increasing software demands quickly: SetXRM. In _Fourth International Conference of Mathematical Sciences (ICMS 2020), AIP Conference Proceedings_; AIP Publishing LLC. : Istanbul, Turkey, 2021; Volume 2334. * (15) [PERSON], F.K. Automatic identification and explanation of root causes on COVID-19 index anomalies. _MethodsX_**2023**, _10_, 101960. [CrossRef] [PubMed]
* (16) [PERSON]; [PERSON]; [PERSON]; [PERSON] Low-Code as Enabler of Digital Transformation in Manufacturing Industry. _Appl. Sci._**2020**, _10_, 12. [CrossRef]
* (17) [PERSON] Low-code platform for automating business processes in manufacturing. _IFAC-PapersOnLine_**2019**, _52_, 376-381. [CrossRef]
* (18) [PERSON]; [PERSON] Automated Disaster Monitoring from Social Media Posts using AI based Location Intelligence and Sentiment Analysis. _IEEE Trans. Comput. Soc. Syst._**2022**, _1-11, in press. [CrossRef]* (19) [PERSON] A decision support system for extracting artificial intelligence-driven insights from live twitter feeds on natural disasters. _Decis. Anal. J._**2022**, \(5\), 100130. [CrossRef]
* (20) [PERSON]; [PERSON] Automated Multidimensional Analysis of Global Events With Entity Detection, Sentiment Analysis and Anomaly Detection. _IEEE Access_**2021**, \(9\), 152449-152460. [CrossRef]
* (21) [PERSON] Identifying the drivers of negative news with sentiment, entity and regression analysis. _Int. J. Inf. Manag. Data Insights_**2022**, \(2\), 100074. [CrossRef]
* (22) [PERSON]; [PERSON]; [PERSON] Automating Global Threat-Maps Generation via Advancements of News Sensors and AI. _Arab. J. Sci. Eng._**2022**, _48_, 2455-2472. [CrossRef]
* (23) [PERSON]; [PERSON]; [PERSON] Tracking Anti-Vax Social Movement Using AI based Social Media Monitoring. _IEEE Trans. Technol. Soc._**2022**, \(3\), 290-299. [CrossRef]
* (24) [PERSON]; [PERSON] AI-based Automated Extraction of Location-Oriented COVID-19 Sentiments. _Comput. Mater. Contin. (CMC)_**2022**, _72_, 3631-3649. * (25) [PERSON]; [PERSON] Knowledge Discovery of Global Landslides Using Automated Machine Learning Algorithms. _IEEE Access_**2021**, \(9\), 131400-131419. [CrossRef]
* (26) [PERSON]; [PERSON]; [PERSON] A new interactive system for analyzing historical records of tornedoes in Bangladesh. _Sustainability_**2022**, _14_, 6303.