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An analysis of low power testing using K‐means clustering with reordering approach

Electronics letters, 2021-08, Vol.57 (16), p.633-635

2021

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Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis

Bioengineering (Basel), 2024-07, Vol.11 (8), p.766

2024

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A framework for performance enhancement of classifiers in detection of prostate cancer from microarray gene

Heliyon, 2024-05, Vol.10 (9), p.e29630-e29630, Article e29630

2024

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Exploitation of Bio-Inspired Classifiers for Performance Enhancement in Liver Cirrhosis Detection from Ultrasonic Images

Biomimetics (Basel, Switzerland), 2024-06, Vol.9 (6), p.356

2024

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Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images

Diagnostics (Basel), 2023-10, Vol.13 (20), p.3289

2023

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Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification algorithms

Scientific reports, 2024-09, Vol.14 (1), p.21437-24, Article 21437

2024

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Amelioration of multitudinous classifiers performance with hyper-parameters tuning in elephant search optimization for cardiac arrhythmias detection

The Journal of supercomputing, 2024, Vol.80 (10), p.14848-14924

2024

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A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms

IEEE access, 2020, Vol.8, p.39875-39897

2020

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Alcoholic EEG signal classification with Correlation Dimension based distance metrics approach and Modified Adaboost classification

Heliyon, 2020-12, Vol.6 (12), p.e05689-e05689, Article e05689

2020

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Machine Learning Techniques for the Performance Enhancement of Multiple Classifiers in the Detection of Cardiovascular Disease from PPG Signals

Bioengineering (Basel), 2023-06, Vol.10 (6), p.678

2023

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Detection of Diabetes through Microarray Genes with Enhancement of Classifiers Performance

Diagnostics (Basel), 2023-08, Vol.13 (16), p.2654

2023

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Enhancement of Classifier Performance Using Swarm Intelligence in Detection of Diabetes from Pancreatic Microarray Gene Data

Biomimetics (Basel, Switzerland), 2023-10, Vol.8 (6), p.503

2023

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Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions

Scientific reports, 2024-07, Vol.14 (1), p.16485-19, Article 16485

2024

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A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification

Frontiers in human neuroscience, 2022-06, Vol.16, p.895761-895761

2022

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A Holistic Strategy for Classification of Sleep Stages with EEG

Sensors (Basel, Switzerland), 2022-05, Vol.22 (9), p.3557

2022

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A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network

Frontiers in computational neuroscience, 2022-06, Vol.16, p.900885-900885

2022

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Coherent Feature Extraction with Swarm Intelligence Based Hybrid Adaboost Weighted ELM Classification for Snoring Sound Classification

Diagnostics (Basel), 2024-08, Vol.14 (17), p.1857

2024

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Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease

IEEE access, 2019, Vol.7, p.165181-165206

2019

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Cardiovascular disease detection from cardiac arrhythmia ECG signals using artificial intelligence models with hyperparameters tuning methodologies

Heliyon, 2024-09, Vol.10 (17), p.e36751, Article e36751

2024

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Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification

Frontiers in computational neuroscience, 2022-11, Vol.16, p.1016516-1016516

2022

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Performance enhancement of classifiers through Bio inspired feature selection methods for early detection of lung cancer from microarray genes

Heliyon, 2024-08, Vol.10 (16), p.e36419, Article e36419

2024

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Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

Bioengineering (Basel), 2023-08, Vol.10 (8), p.933

2023

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Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data-In Pursuit of Precision

Bioengineering (Basel), 2024-04, Vol.11 (4), p.314

2024

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Multiclass Paddy Disease Detection Using Filter Based Feature Transformation Technique

IEEE access, 2023-01, Vol.11, p.1-1

2023

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ASSESSMENT OF EPILEPSY CLASSIFICATION USING TECHNIQUES SUCH AS SINGULAR VALUE DECOMPOSITION, APPROXIMATE ENTROPY, AND WEIGHTED K-NEAREST NEIGHBORS MEASURES

Asian journal of pharmaceutical and clinical research, 2016-09, Vol.9 (5), p.91

2016

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An analysis of low power testing using K‐means clustering with reordering approach

Machine Learning Meets Meta-Heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis

A framework for performance enhancement of classifiers in detection of prostate cancer from microarray gene

Exploitation of Bio-Inspired Classifiers for Performance Enhancement in Liver Cirrhosis Detection from Ultrasonic Images

Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images

Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification algorithms

Amelioration of multitudinous classifiers performance with hyper-parameters tuning in elephant search optimization for cardiac arrhythmias detection

A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms

Alcoholic EEG signal classification with Correlation Dimension based distance metrics approach and Modified Adaboost classification

Machine Learning Techniques for the Performance Enhancement of Multiple Classifiers in the Detection of Cardiovascular Disease from PPG Signals

Detection of Diabetes through Microarray Genes with Enhancement of Classifiers Performance

Enhancement of Classifier Performance Using Swarm Intelligence in Detection of Diabetes from Pancreatic Microarray Gene Data

Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions

A Fusion-Based Technique With Hybrid Swarm Algorithm and Deep Learning for Biosignal Classification

A Holistic Strategy for Classification of Sleep Stages with EEG

A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network

Coherent Feature Extraction with Swarm Intelligence Based Hybrid Adaboost Weighted ELM Classification for Snoring Sound Classification

Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease

Cardiovascular disease detection from cardiac arrhythmia ECG signals using artificial intelligence models with hyperparameters tuning methodologies

Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification

Performance enhancement of classifiers through Bio inspired feature selection methods for early detection of lung cancer from microarray genes

Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data-In Pursuit of Precision

Multiclass Paddy Disease Detection Using Filter Based Feature Transformation Technique

ASSESSMENT OF EPILEPSY CLASSIFICATION USING TECHNIQUES SUCH AS SINGULAR VALUE DECOMPOSITION, APPROXIMATE ENTROPY, AND WEIGHTED K-NEAREST NEIGHBORS MEASURES

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