Notably, real problems are increasingly complex and require sophisticated models and
algorithms capable of quickly dealing with large data sets and finding optimal solutions …

Numerous enhancements of prediction models through hybridization and combining various
machine learning to increase the prediction model's performance are still an ongoing …

In contemporary times, individuals strive to attain a lifestyle characterized by opulence and
extravagance. Individuals often utilize these items either for ostentation or for their routine …

Regression problems help extract the law from massive amounts of data to predict. Hence,
regression algorithms have been a hot topic in machine learning research in recent years. In …

The random forest algorithm under the MapReduce framework has too many redundant and
irrelevant features, low training feature information, and low parallelization efficiency when …

In order to test and evaluate the performance of various machine learning classifiers for
teaching assistant classification, this research will use machine learning approaches. The …

The escalating adoption of hybrid-cloud infrastruc-ture technology across various fields
results in a surge in resource utilization, encompassing server instances, databases …

Crop yield prediction plays a very important role in productivity growth. Prediction of the crop
yield in particular area helps the farmer to choose the right crop to be grown in the land. With …

Bruteforce is a hacking technique that launches an attack by guessing the username and
password of the system that is the target of the attack. The Bruteforce attack on the MQTT …