Correction to: Big Data Analytics in Weather Forecasting: A Systematic Review

Fathi, Marzieh; Kashani, Mostafa Haghi; Jameii, Seyed Mahdi; Mahdipour, Ebrahim

doi:10.1007/s11831-021-09630-6

Cited by 15 publications

(2 citation statements)

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“…In a SLR article, previously published articles are determined, categorized, and analyzed to find the answers for research questions. 33,34 For selecting the articles, we searched We found 166 articles and after applying the inclusion and exclusion criteria mentioned in Table 2, 13 articles were selected as the main articles to be reviewed in this SLR.…”

Section: Methodsmentioning

confidence: 99%

Internet of Flying Things security: A systematic review

Jameii

Zamirnaddafi

Rezabakhsh

2022

Concurrency and Computation

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Summary Today, with the growth of the Internet of Things (IoT), Unmanned Aerial Vehicles (UAVs) can play a significant role in terms of stability, reliability, connectivity, and coverage. The integration of UAVs and IoT led to the Internet of Flying Things (IoFT). Internet of drones (IoD) is an infrastructure that provides access and control over the Internet between users and drones. One of the most critical challenges in IoFT and IoD is security. In this article, a systematic review is proposed to analyze the existing literature in the field of IoFT and IoD security. We explain the research methodology including the article selection process and the search queries. Thirteen articles were selected out of 166 articles that were published between 2019 and September 2021. Furthermore, the security approaches in the selected articles are classified into five main categories: security vulnerability and eavesdropping, security realization by Blockchain, secure trajectory and secure communication link, authentication and privacy approaches, and security‐enhanced resource allocation. The main ideas, advantages, disadvantages, the employed tools, and evaluation parameters of each selected article are also discussed in detail. Finally, we point out the open issues and orientations of future researches.

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Section: Methodsmentioning

confidence: 99%

Internet of Flying Things security: A systematic review

Jameii

Zamirnaddafi

Rezabakhsh

2022

Concurrency and Computation

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“…According to Aldino et al [10], clustering is a process for grouping data into several clusters or groups so that data within one cluster has the maximum level of similarity and data between clusters has a minimum level of similarity. According to Fathi et al [11], forecasting is the art and science of predicting future events.…”

Section: Introductionmentioning

confidence: 99%

Application of the k-means clustering method and simple linear regression to new student admissions as a promotion method

2023

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At private label universities in Indonesia, new students are still the main thing in terms of achieving university operational income. This study intends to group the data of ITTelkom Surabaya students by utilizing the data mining process using the k-means clustering method, then the results of the clustering are forecasted using simple linear regression to be able to predict the achievement of new students as the effect variable and year as the causative variable. The results of this study consist of 5 variables, namely student province, student study program, income of student parents, student parent work and student ethnicity, each of which consists of 4 clusters, then each cluster is predicted for achievement 3 the coming year 2022,2023,2024. It can be concluded that the highest combination of student/parent student profiles was obtained from East Java province, information systems study program, parents' income of 5-10 million per month, the occupation of other parents and the ethnicity of students from Java. The highest forecasting results are found in the income variable of students' parents in cluster 3 with predictions of 1292 students in 2024. It is hoped that with clustering and forecasting based on this research, ITTelkom Surabaya can make the right decision as a basis for decision making to determine strategy in promoting the campus.

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