Performance comparison and current challenges of using machine learning techniques in cybersecurity
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …
world is becoming more and more dependent on the internet for everyday living. The …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Dengue epidemics prediction: A survey of the state-of-the-art based on data science processes
Dengue infection is a mosquitoborne disease caused by dengue viruses, which are carried
by several species of mosquito of the genus Aedes, principally Ae. aegypti. Dengue …
by several species of mosquito of the genus Aedes, principally Ae. aegypti. Dengue …
Cyber threat detection using machine learning techniques: A performance evaluation perspective
The present-day world has become all dependent on cyberspace for every aspect of daily
living. The use of cyberspace is rising with each passing day. The world is spending more …
living. The use of cyberspace is rising with each passing day. The world is spending more …
Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques
Dengue fever is a mosquito-borne disease that affects nearly 3.9 billion people globally.
Dengue remains endemic in Malaysia since its outbreak in the 1980's, with its highest …
Dengue remains endemic in Malaysia since its outbreak in the 1980's, with its highest …
Predicting academic performance using an efficient model based on fusion of classifiers
In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …
researchers to enhance the quality of education. Predicting student academic performance …
An empirical evaluation of machine learning techniques for chronic kidney disease prophecy
Chronic Kidney Disease (CKD) implies that the human kidneys are harmed and unable to
blood filter in the manner which they should. The disease is designated “chronic” in light of …
blood filter in the manner which they should. The disease is designated “chronic” in light of …
Machine learning for dengue outbreak prediction: A performance evaluation of different prominent classifiers
Dengue disease patients are increasing rapidly and actually dengue has recorded in every
continent today according to World Health Organisation (WHO) record. By WHO report the …
continent today according to World Health Organisation (WHO) record. By WHO report the …
A deep learning approach for dengue fever prediction in Malaysia using LSTM with spatial attention
MA Majeed, HZM Shafri, Z Zulkafli… - International journal of …, 2023 - mdpi.com
This research aims to predict dengue fever cases in Malaysia using machine learning
techniques. A dataset consisting of weekly dengue cases at the state level in Malaysia from …
techniques. A dataset consisting of weekly dengue cases at the state level in Malaysia from …
Privacy prevention of big data applications: A systematic literature review
This paper focuses on privacy and security concerns in Big Data. This paper also covers the
encryption techniques by taking existing methods such as differential privacy, k-anonymity, T …
encryption techniques by taking existing methods such as differential privacy, k-anonymity, T …