All Outputs (7)

Machine learning: An ethical, social & political perspective (2019)
Conference Proceeding
Mageswaran, G., Nagappan, S. D., Hamzah, N., & Brohi, S. (2019). Machine learning: An ethical, social & political perspective. In 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). https://doi.org/10.1109/ICACCAF.2018.8776702

Machine Learning is an emerging field which has created a significant positive and undesirable impact too many industries. This technology has been well received and widely used for precise decision making as its ability to process, analyze and visua... Read More about Machine learning: An ethical, social & political perspective.

Transparent workflow system to eliminate biasness in assessing final year projects (2019)
Conference Proceeding
Kaur, S., Angelina, N., Hon, S. S. K., Ntambo, M., Brohi, S., & Hashem, I. A. T. (2019). Transparent workflow system to eliminate biasness in assessing final year projects. In Proceedings - 2018 4th International Conference on Advances in Computing, Communication and Automation, ICACCA 2018. https://doi.org/10.1109/ICACCAF.2018.8776759

The purpose of this study is to understand the Final Year Project System existences and to find improvement in their workflow process. The observation made was based on a case-study workflow conducted by the final year student. In this paper the prop... Read More about Transparent workflow system to eliminate biasness in assessing final year projects.

Middleware power saving scheme for mobile applications (2019)
Conference Proceeding
Jhanjhi, N. Z., Almusalli, F. A., Brohi, S., & Abdullah, A. (2019). Middleware power saving scheme for mobile applications. In 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). https://doi.org/10.1109/ICACCAF.2018.8776711

Smartphones popularity, usage and users dependency has been increased over the years. The popularity increase is linked with several factors such as smartphones size, ease in use, and several supported multipurpose apps. This all is enable due to the... Read More about Middleware power saving scheme for mobile applications.

Credit card fraud detection using deep learning technique (2019)
Conference Proceeding
Pillai, T. R., Hashem, I. A. T., Brohi, S., Kaur, S., & Marjani, M. (2019). Credit card fraud detection using deep learning technique. In 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). https://doi.org/10.1109/ICACCAF.2018.8776797

Credit card fraud detection is growing due to the increase and the popularity of online banking. The need to detect fraudulent within credit card has become as a serious problem among the online shoppers. The multi-layer perceptron (MLP) machine lear... Read More about Credit card fraud detection using deep learning technique.

Data science methodology for Internet-of-Things (2019)
Conference Proceeding
Brohi, S., Marjani, M., Hashem, I. A. T., Pillai, T. R., Kaur, S., & Amalathas, S. S. (2019). Data science methodology for Internet-of-Things. In M. H. Miraz, P. S. Excell, A. Ware, S. Soomro, & M. Ali (Eds.), International Conference for Emerging Technologies in Computing (178-186). https://doi.org/10.1007/978-3-030-23943-5_13

The journey of data from the state of being valueless to valuable has been possible due to powerful analytics tools and processing platforms. Organizations have realized the potential of data, and they are looking far ahead from the traditional relat... Read More about Data science methodology for Internet-of-Things.

Accuracy comparison of machine learning algorithms for predictive analytics in higher education (2019)
Journal Article
Brohi, S. N., Pillai, T. R., Kaur, S., Kaur, H., Sukumaran, S., & Asirvatham, D. (2019). Accuracy comparison of machine learning algorithms for predictive analytics in higher education. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 285, 254-261. https://doi.org/10.1007/978-3-030-23943-5_19

In this research, we compared the accuracy of machine learning algorithms that could be used for predictive analytics in higher education. The proposed experiment is based on a combination of classic machine learning algorithms such as Naive Bayes an... Read More about Accuracy comparison of machine learning algorithms for predictive analytics in higher education.

A review and survey on smartphones: The closest enemy to privacy (2019)
Journal Article
Jayakumar, P., Lawrence, L., Chean, R. L. W., & Brohi, S. N. (2019). A review and survey on smartphones: The closest enemy to privacy. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 285, 106-118. https://doi.org/10.1007/978-3-030-23943-5_8

Smartphones have changed the world from a primitive to a high-tech standpoint. However, there have been many incidents where third parties have used confidential data of the users without their consent. Thus, it causes people to be paranoid and distr... Read More about A review and survey on smartphones: The closest enemy to privacy.