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   Articles with "ensemble classifier" as a keyword



DEFAD: ensemble classifier for DDOS enabled flood attack defense in distributed network environment

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recommendations! Published in 2018 at "Cluster Computing"

DOI: 10.1007/s10586-018-2808-5

Abstract: Technological advancements in the information systems and networks are the outcome of potential developments resulting in the networking and communications. The role of Critical Infrastructure is playing a vital role in imparting the condition of… read more here.

Keywords: ensemble classifier; network; defad ensemble; ddos enabled ... See more keywords

Multi-label dental disorder diagnosis based on MobileNetV2 and swin transformer using bagging ensemble classifier

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-73297-9

Abstract: Dental disorders are common worldwide, causing pain or infections and limiting mouth opening, so dental conditions impact productivity, work capability, and quality of life. Manual detection and classification of oral diseases is time-consuming and requires… read more here.

Keywords: bagging ensemble; diagnosis; swin transformer; mobilenetv2 ... See more keywords

Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3362232

Abstract: An intrusion attack on the Internet of Things (IoT) is any malicious activity or unauthorized access that jeopardizes the integrity and security of IoT systems, networks, or devices. Regarding IoT, intrusions can result in severe… read more here.

Keywords: ensemble classifier; internet things; model; keylogging attack ... See more keywords

Fusion of Hyperspectral and LiDAR Data With a Novel Ensemble Classifier

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recommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2018.2816958

Abstract: Due to the development of sensors and data acquisition technology, the fusion of features from multiple sensors is a very hot topic. In this letter, the use of morphological features to fuse a hyperspectral (HS)… read more here.

Keywords: fusion hyperspectral; ensemble classifier; lidar data; morphological features ... See more keywords

Diagnosis of Neuromuscular Disorders Using DT-CWT and Rotation Forest Ensemble Classifier

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recommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2019.2918596

Abstract: Electromyographic (EMG) signals are utilized to analyze the neuromuscular disorders. Machine learning algorithms have been employed as a decision support system to detect neuromuscular disorders. EMG signals contain noise from different sources, such as electrical… read more here.

Keywords: emg signals; forest ensemble; neuromuscular disorders; rotation forest ... See more keywords

A Novel Method for Creating an Optimized Ensemble Classifier by Introducing Cluster Size Reduction and Diversity

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recommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2020.3025173

Abstract: In this paper, a new method is proposed for creating an optimized ensemble classifier. The proposed method mitigates the issue of class imbalances by partitioning the input data into its various data classes. The partitions… read more here.

Keywords: optimized ensemble; classifier; ensemble classifier; creating optimized ... See more keywords

Residual Sketch Learning for a Feature-Importance-Based and Linguistically Interpretable Ensemble Classifier.

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recommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3242049

Abstract: Motivated by both the commonly used "from wholly coarse to locally fine" cognitive behavior and the recent finding that simple yet interpretable linear regression model should be a basic component of a classifier, a novel… read more here.

Keywords: importance based; feature importance; residual sketch; ensemble classifier ... See more keywords

Condition monitoring of water pump bearings using ensemble classifier

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recommendations! Published in 2022 at "Advances in Mechanical Engineering"

DOI: 10.1177/16878132221089170

Abstract: The bearings faults are reported to be the major reason for centrifugal pump (CPs) failures. Limited literature is available to diagnose the minor scratches in the bearing surface through non-intrusive condition monitoring techniques. Recent research… read more here.

Keywords: condition monitoring; pump; feature; ensemble classifier ... See more keywords

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

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recommendations! Published in 2017 at "BMC Bioinformatics"

DOI: 10.1186/s12859-017-1783-9

Abstract: BackgroundMulti-label classification has recently gained great attention in diverse fields of research, e.g., in biomedical application such as protein function prediction or drug resistance testing in HIV. In this context, the concept of Classifier Chains… read more here.

Keywords: ensemble classifier; graphics processing; classifier; ecccl parallelized ... See more keywords

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies

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recommendations! Published in 2024 at "PLOS ONE"

DOI: 10.1371/journal.pone.0316645

Abstract: This paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole… read more here.

Keywords: classification; heart; ensemble classifier; classifier strategy ... See more keywords

Random Subspace K-NN Based Ensemble Classifier for Driver Fatigue Detection Utilizing Selected EEG Channels

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recommendations! Published in 2021 at "Traitement du Signal"

DOI: 10.18280/ts.380501

Abstract: Received: 6 September 2021 Accepted: 2 October 2021 Nowadays, many studies have been conducted to assess driver fatigue, as it has become one of the leading causes of traffic crashes. However, with the use of… read more here.

Keywords: ensemble classifier; fatigue; fatigue detection; driver fatigue ... See more keywords