Malware detection and prevention using artificial intelligence techniques
With the rapid technological advancement, security has become a major issue due to the
increase in malware activity that poses a serious threat to the security and safety of both …
increase in malware activity that poses a serious threat to the security and safety of both …
Comprehensive survey of ternary full adders: Statistics, corrections, and assessments
S Nemati, M Haghi Kashani… - IET Circuits, Devices & …, 2023 - Wiley Online Library
The history of ternary adders goes back to more than 6 decades ago. Since then, a multitude
of ternary full adders (TFAs) have been presented in the literature. This article conducts a …
of ternary full adders (TFAs) have been presented in the literature. This article conducts a …
Machine learning and OLAP on big COVID-19 data
In the current technological era, huge amounts of big data are generated and collected from
a wide variety of rich data sources. These big data can be of different levels of veracity in the …
a wide variety of rich data sources. These big data can be of different levels of veracity in the …
An efficient ACO-PSO-based framework for data classification and preprocessing in big data
Big data is prominent for the systematic extraction and analysis of a huge or complex
dataset. It is also helpful in the management of data as compared to the traditional data …
dataset. It is also helpful in the management of data as compared to the traditional data …
Fuzzy-CNN based multi-task routing for integrated satellite-terrestrial networks
The integrated satellite-terrestrial network (ISN) is an emerging framework that complements
the ground 5G network with global network access. The satellite layer consists of Low Earth …
the ground 5G network with global network access. The satellite layer consists of Low Earth …
Big data science on COVID-19 data
In the current era of big data, high volume of big data can be generated and collected from a
wide variety of rich data sources at a rapid rate. Embedded in these big data are useful …
wide variety of rich data sources at a rapid rate. Embedded in these big data are useful …
Sports data management, mining, and visualization
BC Isichei, CK Leung, LT Nguyen, LB Morrow… - International Conference …, 2022 - Springer
Data are everywhere. Examples include sports data. Embedded in these data is implicit,
previously unknown and potentially useful information or knowledge to be discovered. In this …
previously unknown and potentially useful information or knowledge to be discovered. In this …
An innovative fuzzy logic-based machine learning algorithm for supporting predictive analytics on big transportation data
CK Leung, JD Elias, SM Minuk… - … on Fuzzy Systems …, 2020 - ieeexplore.ieee.org
In the current era of high precision monitoring and big data, many public transit users are still
suffering from problems caused by transit delays. To help address this problem, we design …
suffering from problems caused by transit delays. To help address this problem, we design …
Open data lake to support machine learning on Arctic big data
AM Olawoyin, CK Leung… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The era of big data is evolving with the introduction of the data lake concept. While a data
warehouse provides a well-structured model to manage big data, a data lake accepts data of …
warehouse provides a well-structured model to manage big data, a data lake accepts data of …
Temporal data analytics on COVID-19 data with ubiquitous computing
With technological advancements in computing and communications, huge amounts of big
data are generated and collected at a very rapid rate from a wide variety of rich data …
data are generated and collected at a very rapid rate from a wide variety of rich data …