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JournalISSN: 2254-4143

3C Tecnología 

Área de Innovación y Desarrollo, S.L.
About: 3C Tecnología is an academic journal published by Área de Innovación y Desarrollo, S.L.. The journal publishes majorly in the area(s): Artificial intelligence & Computer science. It has an ISSN identifier of 2254-4143. It is also open access. Over the lifetime, 216 publications have been published receiving 444 citations. The journal is also known as: 3C tecnología, investigación y pensamiento crítico.

Papers published on a yearly basis

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Journal ArticleDOI
TL;DR: In this article, a new student performance prediction model and new features are introduced that have a great influence on student's academic achievement i.e. student absence days in class and parents' involvement in the learning process.
Abstract: Predicting students’ performance is a very important task in any educational system. Therefore, to predict the learner’s behavior towards studies many data mining techniques are used like clustering, classification, regression. In this paper, new student’s performance prediction model and new features are introduced that have a great influence on student’s academic achievement i.e. student absence days in class and parents’ involvement in the learning process. In this paper, considerable attention is on the punctuality of students and the effect of participation of parents in the learning process. This category of features is concerned with the learner’s interaction with the e–learning management system. Three different classifiers such as Naive Bayes, Decision Tree, and Artificial Neural Network are used to examine the effect of these features on students’ educational performance. The accuracy of the proposed model achieved up to 10% to 15% and is much improved as compared to the results when such features are removed.

26 citations

Journal ArticleDOI
TL;DR: The numerous applications of UAVs are studied and summarized in tabular form according to the current need of the autonomous technology in various areas of agriculture, military and civilian usage of the modern age.
Abstract: In recent development period of modern technology, the flying automatons UAVs (unmanned aerial vehicles) need are increasing day by day for different applications. However, this is an important area to explore and review the vicinity where UAVs can be deployed for a specific application. In this study, researchers have explored the usage of UAVs according to the areas of application in this domain. These vehicles can fly in various circumstances and zones and are capable to perform various missions. The paper presents the numerous applications of UAVs according to the current need of the autonomous technology in various areas of agriculture, military and civilian usage of the modern age. In this article, the applications of UAVs are studied and summarized in tabular form.

19 citations

Journal ArticleDOI
TL;DR: Various big data pre–processing techniques are discussed in order to prepare it for mining and analysis tasks and significantly improve the performance of machine learning algorithms which in turn leads to accurate data mining.
Abstract: In recent years immense growth of data i.e. big data is observed resulting in a brighter and more optimized future. Big Data demands large computational infrastructure with high–performance processing capabilities. Preparing big data for mining and analysis is a challenging task and requires data to be preprocessed to improve the quality of raw data. The data instance representation and quality are foremost. Data preprocessing is preliminary data mining practice in which raw data is transformed into a format suitable for another processing procedure. Data preprocessing improves the data quality by cleaning, normalizing, transforming and extracting relevant feature from raw data. Data preprocessing significantly improve the performance of machine learning algorithms which in turn leads to accurate data mining. Knowledge discovery from noisy, irrelevant and redundant data is a difficult task therefore precise identification of extreme values and outlier, filling up missing values poses challenges. This paper discusses various big data pre–processing techniques in order to prepare it for mining and analysis tasks.

12 citations

Journal ArticleDOI
TL;DR: This work proposes use of Blockchain for tracking all these transactions without compromising secrecy of data by keeping its integrity intact for medico-legal requirements and prevent risk of fraud.
Abstract: Internet of Things have brought exciting changes in the social norms, work environments and the prospects for future generations. These devices (Things) have already changed the way our networks are used for communication. With the introduction of machine to machine communication (M2M), where devices communicate without human involvement to perform routine day to day tasks. These tasks on one hand, include services that provide convenience to the device owners such as setting off alarms, acting as personal assistant for reminders, keeping track of daily activities etc. On the other hand, there are certain tasks where these devices perform Transactions on behalf of the owners i.e. financial transactions/ online ordering etc. These transactional tasks have significant legal implications if some problem / dispute arises due to such action performed by these devices on behalf of the owners. To ensure that these interactions take place under observation of the owners and to keep track of their occurrence, there is a need to keep record of all such communication. We propose use of Blockchain for tracking all these transactions without compromising secrecy of data by keeping its integrity intact for medico-legal requirements and prevent risk of fraud.

11 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202322
202217
20219
202047
201955
20189