[HTML][HTML] A hybrid intrusion detection model using ega-pso and improved random forest method
Due to the rapid growth in IT technology, digital data have increased availability, creating
novel security threats that need immediate attention. An intrusion detection system (IDS) is …
novel security threats that need immediate attention. An intrusion detection system (IDS) is …
Predictive analysis of heart diseases with machine learning approaches
Abstract Machine Learning (ML) is used in healthcare sectors worldwide. ML methods help
in the protection of heart diseases, locomotor disorders in the medical data set. The …
in the protection of heart diseases, locomotor disorders in the medical data set. The …
Hybrid model for detection of cervical cancer using causal analysis and machine learning techniques
Cervical cancer has become the third most common form of cancer in the in‐universe, after
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …
[HTML][HTML] Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities
The rapid growth in the number of vehicles has led to traffic congestion, pollution, and
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …
A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques
Virtual machine (VM) integration methods have effectively proven an optimized load
balancing in cloud data centers. The main challenge with VM integration methods is the …
balancing in cloud data centers. The main challenge with VM integration methods is the …
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Load balancing is a serious problem in cloud computing that makes it challenging to ensure
the proper functioning of services contiguous to the Quality of Service, performance …
the proper functioning of services contiguous to the Quality of Service, performance …
Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive
approach is proposed in this assessment to deal with the problem of identifying new …
approach is proposed in this assessment to deal with the problem of identifying new …
A fair, dynamic load balanced task distribution strategy for heterogeneous cloud platforms based on Markov process modeling
Load balancing techniques in cloud computing can be applied at three different levels:
Virtual machine load balancing, task load balancing, and resource load balancing. At all …
Virtual machine load balancing, task load balancing, and resource load balancing. At all …
A comprehensive survey on sustainable resource management in cloud computing environments
Sustainable resource management within a cloud computing environment is a highly critical
and prominently studied research topic. In this context, this paper presented a …
and prominently studied research topic. In this context, this paper presented a …
Prediction of diabetes disease using machine learning model
As per the statistics mentioned by the world health organization, four hundred twenty-two
million people in the world are suffering from diabetes which has raised the death toll to 1.6 …
million people in the world are suffering from diabetes which has raised the death toll to 1.6 …