The growth of regularly generated data from many financial activities has significant implications for every corner of financial modelling. This study has investigated the utilization of these continuous growing data by a means of an automated process. The automated process can b...
Open access
Research Article10.9734/ajrcos/2021/v11i330263
Due to the rapid development in information technology, Big Data has become one of its prominent feature that had a great impact on other technologies dealing with data such as machine learning technologies. K-mean is one of the most important machine learning algorithms. The alg...
Open access
Research Article10.9734/ajrcos/2021/v11i330262
In the last few days, data and the internet have become increasingly growing, occurring in big data. For these problems, there are many software frameworks used to increase the performance of the distributed system. This software is used for available ample data storage. One of t...
Open access
Research Article10.9734/ajrcos/2021/v11i230260
Prediction is vital in our daily lives, as it is used in various ways, such as learning, adapting, predicting, and classifying. The prediction of parameters capacity of RNNs is very high; it provides more accurate results than the conventional statistical methods for prediction....
Open access
Research Article10.9734/ajrcos/2021/v11i230259
Coronavirus has become a significant concern for the whole world. It has had a substantial influence on our social and economic life. The infection rate is rapidly increasing at every moment throughout the world. At present, predicting coronavirus has become one of the challengin...
Open access
Research Article10.9734/ajrcos/2021/v11i230258
Aims/ Objectives: The research presented in the following application aims to prove use of Ternary Maths for calculating machines and to simplify the process of calculating In it we will try to justify the use of triplets and describe how it works. An earlier research presented i...
Open access
Research Article10.9734/ajrcos/2021/v11i230257
In the present period of computerized handling, high level of online information is looked with digital threats. There are unlimited dangers and difficulties to information existence online. Cyber-attacks which are considered the emerging and serious threats that are going on ea...
Open access
Research Article10.9734/ajrcos/2021/v11i130255
Unimodal biometrics system (UBS) drawbacks include noisy data, intra-class variance, inter-class similarities, non-universality, which all affect the system's classification performance. Intramodal fingerprint fusion can overcome the limitations imposed by UBS when features are f...
Open access
Research Article10.9734/ajrcos/2021/v11i230256
Falohun Adeleye Samuel, Adegbola Oluwole Abiodun, Adedeji Oluyinka Titilayo, Makinde Bukola Oyeladun, Taiwo Olayinka David & Damilare Gbohunmi Aduragbemi·Asian Journal of Research in Computer Science·2021
Home security is extremely important, and several methods of security have been improved, such as the usage of alarms, monitoring systems, and the interplay of electronic hardware, software, and other factors. Keys can be misplaced and found by others, putting the guarded structu...
Open access
Research Article10.9734/ajrcos/2021/v11i130254
Aims: This work aim is to develop an enhanced predictive system for Coronary Heart Disease (CHD). Study Design: Synthetic Minority Oversampling Technique and Random Forest. Methodology: The Framingham heart disease dataset was used, which was collected from a study in Framingham,...
Open access
Research Article10.9734/ajrcos/2021/v11i130253