scholarly journals A COMBINED APPROACH WNN FOR ECG FEATURE BASED DISEASE CLASSIFICATION

2017 ◽  
Vol 4 (09) ◽  
Keyword(s):  
Disease Classification ◽  
Combined Approach ◽  
Feature Based

scholarly journals Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1388
Author(s):  
Sk Mahmudul Hassan ◽  
Arnab Kumar Maji ◽  
Michał Jasiński ◽  
Zbigniew Leonowicz ◽  
Elżbieta Jasińska
Keyword(s):  
Disease Classification ◽  
Batch Size ◽  
Healthy Plant ◽  
Plant Leaves ◽  
Early Prevention ◽  
Computation Cost ◽  
Training Time ◽  
Feature Based ◽  
Deep Cnn ◽  
Accuracy Rates

The timely identification and early prevention of crop diseases are essential for improving production. In this paper, deep convolutional-neural-network (CNN) models are implemented to identify and diagnose diseases in plants from their leaves, since CNNs have achieved impressive results in the field of machine vision. Standard CNN models require a large number of parameters and higher computation cost. In this paper, we replaced standard convolution with depth=separable convolution, which reduces the parameter number and computation cost. The implemented models were trained with an open dataset consisting of 14 different plant species, and 38 different categorical disease classes and healthy plant leaves. To evaluate the performance of the models, different parameters such as batch size, dropout, and different numbers of epochs were incorporated. The implemented models achieved a disease-classification accuracy rates of 98.42%, 99.11%, 97.02%, and 99.56% using InceptionV3, InceptionResNetV2, MobileNetV2, and EfficientNetB0, respectively, which were greater than that of traditional handcrafted-feature-based approaches. In comparison with other deep-learning models, the implemented model achieved better performance in terms of accuracy and it required less training time. Moreover, the MobileNetV2 architecture is compatible with mobile devices using the optimized parameter. The accuracy results in the identification of diseases showed that the deep CNN model is promising and can greatly impact the efficient identification of the diseases, and may have potential in the detection of diseases in real-time agricultural systems.

Optimal feature-based multi-kernel SVM approach for thyroid disease classification

2018 ◽  
Vol 76 (2) ◽  
pp. 1128-1143 ◽  
Author(s):  
K. Shankar ◽  
S. K. Lakshmanaprabu ◽  
Deepak Gupta ◽  
Andino Maseleno ◽  
Victor Hugo C. de Albuquerque
Keyword(s):  
Thyroid Disease ◽  
Disease Classification ◽  
Feature Based ◽  
Optimal Feature ◽  
Kernel Svm

1685: The Impact of Prostate Volume for Prostate Cancer Detection Using a Combined Approach of Contrast Enhanced Ultrasonography Targeted and Systematic Grey Scale Biopsy

2007 ◽  
Vol 177 (4S) ◽  
pp. 559-559
Author(s):  
Alexandre E. Pelzer ◽  
Jasmin Bektic ◽  
Wolfgang Harninger ◽  
Georg Schaefer ◽  
Christian Schwentner ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Prostate Volume ◽  
Combined Approach ◽  
Prostate Cancer Detection ◽  
Grey Scale ◽  
Contrast Enhanced ◽  
Contrast Enhanced Ultrasonography ◽  
The Impact

Radioscopic Images Segmentation by “Edge and Area” Combined Approach for Weld Geometric Characterization

2000 ◽  
Vol 12 (1) ◽  
pp. 179-189
Author(s):  
C. Gueudre ◽  
J. Moysan ◽  
G. Corneloup
Keyword(s):  
Geometric Characterization ◽  
Combined Approach

An Inability to Set Independent, Feature-Based Attention Sets By Hemisphere

2011 ◽  
Author(s):  
Mark W. Becker ◽  
Susan M. Ravizza
Keyword(s):  
Feature Based

What you like is what has decreased: Feature-based perception of the scarcity enhances object value

2013 ◽  
Author(s):  
Atsunori Ariga ◽  
Atsuko Inoue
Keyword(s):  
Feature Based

Combined Approach for Excision of Advanced Angiofibroma: A Study of 12 Cases

2016 ◽  
Vol 77 (S 01) ◽  
Author(s):  
Fazal Wahid
Keyword(s):  
Combined Approach

Supervised Feature Based Malicious Profile Detection System in Online Social Media

2019 ◽  
Vol 7 (6) ◽  
pp. 164-171
Author(s):  
Ms. Anamika Joshi ◽  
Dr. D.S. Bhilare
Keyword(s):  
Social Media ◽  
Detection System ◽  
Online Social Media ◽  
Feature Based

Feature-based recognition of trabecular microstructure using 1.5T magnetic resonance imaging: a new methodology

2015 ◽  
Author(s):  
Paul Dimitri ◽  
Karim Lekadir ◽  
Corne Hoogendoorn ◽  
Paul Armitage ◽  
Elspeth Whitby ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Trabecular Microstructure ◽  
Feature Based

A Modified Combined Approach to Operative Carotid and Coronary Artery Disease: 82 Cases in 8 Years

2005 ◽  
Vol 8 (3) ◽  
pp. E184-E189 ◽  
Author(s):  
Bayer Cinar ◽  
Onur S. Goksel ◽  
Sinan Kut ◽  
Veysel Sahin ◽  
Yavuz Enc ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Combined Approach ◽  
Artery Disease
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