ABSTRACT COVID-19 was discovered near the end of 2019 in Wuhan, China. In a short
period, the virus had spread throughout the entire world. One of the primary concerns of …

Retrieval-augmented code generation strengthens the generation model by using a retrieval
model to select relevant code snippets from a code corpus. The synergy between retrieval …

Cluster analysis is one important field in pattern recognition and machine learning,
consisting in an attempt to distribute a set of data patterns into groups, considering only the …

Due to the fact that countries are presently dealing with the third wave of COVID-19
pandemic and in present time, the data of vaccines for preventing COVID-19 has triggered …

In this paper, a multiple efficient data mining algorithms with feature selection algorithm for
the prediction of SARS-CoV2 (covid) is presented. Multiple efficient data mining are …

Abstract The Internet of Medical Things (IoMTs) based on fog/cloud computing has been
effectively proven to improve the controlling, monitoring, and care quality of Coronavirus …

One of the most significant exercises in software development is the software cost
estimation, which leads to improvements in software engineering technique. The objectives …

Because plant disease is main cause of most plants' damage, improving prediction plans for
early detection of plant where it has disease or not is an essential interest of decision …

Due to the voluminous amount of itemsets that are generated, the association rules
extracted from these itemsets contain redundancy, and designing an effective approach to …

Due to the increased size of data, there is a need for retrieving the right document for the
user efficiently, which finds various applications in the research community. In this work, we …