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Performance optimization in ddos prediction with ensemble based approach
Distributed Denial of Service (DDoS) attacks pose a significant threat to network infrastructures, leading to service disruptions and potential...
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Weighted ensemble CNN for lung nodule classification: an evolutionary approach
Lung Cancer is the deadliest cancer with maximum mortality rates all over the world. If lung cancers are not detected at an early stage, they will...
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An Ensemble Edge Computing Approach for SD-IoT security Using Ensemble of Feature Selection Methods and Classification
Both academics and the IT industry are now researching the Internet of Things and software-defined networks. They have received a number of...
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Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer
Breast Cancer is a significant global health challenge, particularly affecting women with higher mortality compared with other cancer types. Timely...
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Drinkers Voice Recognition Intelligent System: An Ensemble Stacking Machine Learning Approach
Alcohol's dehydrating effects can cause vocal cords to dry out, potentially causing temporary voice changes and increasing the risk of vocal strain...
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An ensemble approach for classification of tympanic membrane conditions using soft voting classifier
Otitis media is a medical concept that represents a range of inflammatory middle ear disorders. The high costs of medical devices utilized by field...
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A residual ensemble learning approach for solar irradiance forecasting
Solar irradiance forecasting plays an essential role in efficient solar energy systems and managing power demand sustainably. In present work, a new...
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Effective network intrusion detection using stacking-based ensemble approach
The increasing demand for communication between networked devices connected either through an intranet or the internet increases the need for a...
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An ensemble based approach for violence detection in videos using deep transfer learning
The detection of violence in videos has become an extremely valuable application in real-life situations, which aim to maintain and protect people’s...
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Detecting Network Intrusion in Cloud Environment Through Ensemble Learning and Feature Selection Approach
The use of the Internet is enhanced drastically in the current era, which connects multiple computers in a network and a group of devices. In...
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Unmasking the common traits: an ensemble approach for effective malware detection
Malware detection has become a critical aspect of ensuring the security and integrity of computer systems. With the ever-evolving landscape of...
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A reproducible ensemble machine learning approach to forecast dengue outbreaks
Dengue fever, a prevalent and rapidly spreading arboviral disease, poses substantial public health and economic challenges in tropical and...
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An ensemble clustering approach for modeling hidden categorization perspectives for cloud workloads
Effectively managing cloud resources is a complex task due to the interdependencies of various cloud-hosted services and applications. This task is...
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A weighted ensemble transfer learning approach for melanoma classification from skin lesion images
Cancer is the foremost cause of mortality among humans, as per statistics and accurate classification of the lesion is critical for treating skin...
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Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification
Ensemble learning is explored as an approach to improve the classification of BIM elements using multiple deep learning classifiers. Existing studies...
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A Deep Ensemble Approach for Long-Term Traffic Flow Prediction
In the last 50 years, with the growth of cities and increase in the number of vehicles and mobility, traffic has become troublesome. As a result,...
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A pragmatic ensemble learning approach for rainfall prediction
Heavy rainfall and precipitation play a massive role in sha** the socio-agricultural landscape of a country. Being one of the key indicators of...
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A Novel Approach for Structural Damage Detection Using Multi-Headed Stacked Deep Ensemble Learning
PurposeDamage detection of civil infrastructures is vital in structural health monitoring; however, traditional methods are time-consuming and...
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An ensemble deep learning approach for air quality estimation in Delhi, India
South Asian megacities, notably Delhi, are significant contributors to air pollution, driven by factors such as population density, vehicular...
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Optimization of scientific publications clustering with ensemble approach for topic extraction
The continually develo** Internet generates a considerable amount of text data. When attempting to extract general topics or themes from a massive...
