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Comparative Analysis of Classification Methods with PCA and LDA for Diabetes

Current diabetes reviews, 2020-01, Vol.16 (8), p.833-850

2020

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Industrial Internet of Things: Technologies and Research Directions

1, 2022

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Implementation and Analysis of Classification Algorithms for Diabetes

Current medical imaging reviews, 2020-01, Vol.16 (4), p.340-354

2020

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Cat Swarm Optimization based Functional Link Multilayer Perceptron for Suppression of Gaussian and Impulse Noise from Computed Tomography Images

Current medical imaging reviews, 2020-01, Vol.16 (4), p.329-339

2020

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Reliable detection of blast disease in rice plant using optimized artificial neural network

Agronomy journal, 2024-05, Vol.116 (3), p.1099-1111

2024

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RETRACTED ARTICLE: Feature selection with Optimized XGBoost model-based paddy plant leaf disease classification

Multimedia tools and applications, 2024-10, Vol.83 (33), p.80281-80281

2024

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An efficient adaptive feature selection with deep learning model-based paddy plant leaf disease classification

Multimedia tools and applications, 2024-03, Vol.83 (8), p.22639-22661

2024

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Adaptive feature selection with deep learning MBi-LSTM model based paddy plant leaf disease classification

Multimedia tools and applications, 2024-03, Vol.83 (9), p.25543-25571

2024

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Deconstructive human face recognition using deep neural network

Multimedia tools and applications, 2023-09, Vol.82 (22), p.34147-34162

2023

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Performance Evaluation of a Hybrid Buffer-Based Optical Packet Switch Router

Journal of optical communications, 2024-02, Vol.44 (s1), p.s1791-s1802

2024

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Performance evaluation of classification methods with PCA and PSO for diabetes

Network modeling and analysis in health informatics and bioinformatics (Wien), 2020-12, Vol.9 (1), p.5, Article 5

2020

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GA_RBF NN: a classification system for diabetes

International journal of biomedical engineering and technology, 2017, Vol.23 (1), p.71

2017

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Heart Disease Prediction using Machine Learning and Data Mining

International journal of recent technology and engineering, 2020-05, Vol.9 (1), p.212-219

2020

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Classification techniques for diagnosis of diabetes: a review

International journal of biomedical engineering and technology, 2016, Vol.21 (1), p.15

2016

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Functional link convolutional neural network for the classification of diabetes mellitus

International journal for numerical methods in biomedical engineering, 2021-08, Vol.37 (8), p.e3496-n/a

2021

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GA_MLP NN: A Hybrid Intelligent System for Diabetes Disease Diagnosis

International journal of intelligent systems and applications, 2016, Vol.8 (1), p.49-59

2016

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Detection of SSVEP Frequency component using Filter Bank Approach for EEG Based BCI System

NeuroQuantology, 2022-01, Vol.20 (6), p.3533

2022

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Cascadability analysis of WDM recirculating loop buffer-based switch in optical data networks

Journal of optical communications, 2020-10

2020

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Multichannel heuristic learning based single layer neural network filter for mixed noise suppression from color Doppler ultrasound images

Journal of real-time image processing, 2021-08, Vol.18 (4), p.1397-1408

2021

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6G Enabled Fog Computing in IoT: Applications and Opportunities

1, 2023

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GA_RBF NN: a classification system for diabetes

International journal of biomedical engineering and technology, 2017, Vol.23 (1), p.71

2017

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Wearable Smart Technologies: Changing the Future of Healthcare

Machine Learning in Healthcare and Security, 2024, Vol.1, p.130-148

1, 2024

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Soft Computing, Data Mining, and Machine Learning Approaches in Detection of Heart Disease: A Review

Hybrid Intelligent Systems, 2020, Vol.1179, p.165-175

2020

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Efficient Prediction of Blast Disease in Paddy Plant using Optimized Support Vector Machine

Journal of the Institution of Electronics and Telecommunication Engineers, 2024-04, Vol.70 (4), p.3679-3689

2024

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A Comparative Study of Computational Intelligence for Identification of Breast Cancer

Machine Learning, Image Processing, Network Security and Data Sciences, 2020, Vol.1240, p.209-216

2020

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Comparative Analysis of Classification Methods with PCA and LDA for Diabetes

Industrial Internet of Things: Technologies and Research Directions

Implementation and Analysis of Classification Algorithms for Diabetes

Cat Swarm Optimization based Functional Link Multilayer Perceptron for Suppression of Gaussian and Impulse Noise from Computed Tomography Images

Reliable detection of blast disease in rice plant using optimized artificial neural network

RETRACTED ARTICLE: Feature selection with Optimized XGBoost model-based paddy plant leaf disease classification

An efficient adaptive feature selection with deep learning model-based paddy plant leaf disease classification

Adaptive feature selection with deep learning MBi-LSTM model based paddy plant leaf disease classification

Deconstructive human face recognition using deep neural network

Performance Evaluation of a Hybrid Buffer-Based Optical Packet Switch Router

Performance evaluation of classification methods with PCA and PSO for diabetes

GA_RBF NN: a classification system for diabetes

Heart Disease Prediction using Machine Learning and Data Mining

Classification techniques for diagnosis of diabetes: a review

Functional link convolutional neural network for the classification of diabetes mellitus

GA_MLP NN: A Hybrid Intelligent System for Diabetes Disease Diagnosis

Detection of SSVEP Frequency component using Filter Bank Approach for EEG Based BCI System

Cascadability analysis of WDM recirculating loop buffer-based switch in optical data networks

Multichannel heuristic learning based single layer neural network filter for mixed noise suppression from color Doppler ultrasound images

6G Enabled Fog Computing in IoT: Applications and Opportunities

GA_RBF NN: a classification system for diabetes

Wearable Smart Technologies: Changing the Future of Healthcare

Soft Computing, Data Mining, and Machine Learning Approaches in Detection of Heart Disease: A Review

Efficient Prediction of Blast Disease in Paddy Plant using Optimized Support Vector Machine

A Comparative Study of Computational Intelligence for Identification of Breast Cancer

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