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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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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 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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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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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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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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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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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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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...
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HDEL: a hierarchical deep ensemble approach for text-based emotion detection
Emotion detection from social media data plays a crucial role in studying societal emotions concerning different events, aiding in predicting the...
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A vision-based hybrid ensemble learning approach for classification of gait disorders
Computer vision-based (VB) gait analysis has become the popular platform for detecting Knee Osteoarthritis (KOA) and Parkinson’s disease (PD). The...
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An effective facial spoofing detection approach based on weighted deep ensemble learning
Deep learning has seen successful implementation in various domains, such as natural language processing, image classification, and object detection...
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An enhanced approach for sentiment analysis based on meta-ensemble deep learning
Sentiment analysis, commonly known as “opinion mining,” aims to identify sentiment polarities in opinion texts. Recent years have seen a significant...
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A stacking ensemble approach for identification of informative tweets on twitter data
In the Present era, social media information plays an impact on our daily activities. Accurate media information identification is also challenging...
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An ensemble approach for classification of diabetic retinopathy in fundus image
Diabetes-oriented diabetic retinopathy impacts the blood vessels in the region of the retina to enlarge and leak blood and other fluids. In most...
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Improving spam email classification accuracy using ensemble techniques: a stacking approach
Spam emails pose a substantial cybersecurity danger, necessitating accurate classification to reduce unwanted messages and mitigate risks. This study...
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Ensemble-of-classifiers-based approach for early Alzheimer’s Disease detection
Alzheimer’s disease (AD) is a deadly neurological condition. Deep learning approaches (DL) techniques have just been utilized to track the evolution...
