Telemedicine Framework in COVID-19 Pandemic
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(9)
Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
PDCNN: FRAMEWORK for Potato Diseases Classification Based on Feed Foreword Neural Network
K-means
Gray Level Run Length Matrix
First Order Histogram Features
Scaled Conjugate Gradient Backpropagation
The economy is exceptionally reliant on agricultural productivity. Therefore, in domain of agriculture, plant infection discovery is a vital job because it gives promising advance towards the development of agricultural production. In this work, a framework for potato diseases classification based on feed foreword neural network is proposed. The objective of this work is presenting a system that can detect and classify four kinds of potato tubers diseases; black dot, common scab, potato virus Y and early blight based on their images. The presented PDCNN framework comprises three levels: the pre-processing is first level, which is based on K-means clustering algorithm to detect the infected area from potato image. The s
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(4)
Publication Date
Mon Oct 05 2020
Journal Name
International Journal Of Advanced Science And Technology
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Publication Date
Wed Dec 08 2021
Journal Name
Scientific Reports
Weakly Supervised Sensitive Heatmap framework to classify and localize diabetic retinopathy lesions
Abstract<p>Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection method applied to diagnose DR in an earlier phase may help medical doctors to make better decisions. DR is considered one of the main risks, leading to blindness. Computer-Aided Diagnosis systems play an essential role in detecting features in fundus images. Fundus images may include blood vessels, exudates, micro-aneurysm, hemorrhages, and neovascularization. In this paper, our model combines automatic detection for the diabetic retinopathy classification with localization methods depending on weakly-supervised learning. The model has four stages; in stage one, various preprocessing techniques are app</p>
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(7)
Publication Date
Fri May 01 2020
Journal Name
International Journal Of Advanced Science And Technology
Improved Merging Multi Convolutional Neural Networks Framework of Image Indexing and Retrieval
Zernike Moments
Deep learning
Convolutional Neural Networks
Wavelet
transforms
Slanlet transform
Informational retrieval
Background/Objectives: The purpose of current research aims to a modified image representation framework for Content-Based Image Retrieval (CBIR) through gray scale input image, Zernike Moments (ZMs) properties, Local Binary Pattern (LBP), Y Color Space, Slantlet Transform (SLT), and Discrete Wavelet Transform (DWT). Methods/Statistical analysis: This study surveyed and analysed three standard datasets WANG V1.0, WANG V2.0, and Caltech 101. The features an image of objects in this sets that belong to 101 classes-with approximately 40-800 images for every category. The suggested infrastructure within the study seeks to present a description and operationalization of the CBIR system through automated attribute extraction system premised on CN
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Sun Apr 01 2018
Journal Name
Journal Of Construction Engineering And Management
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(59)
Publication Date
Fri Jan 01 2021
Journal Name
Computers, Materials & Continua
(34)
(25)
Publication Date
Fri Jan 01 2016
Journal Name
International Journal Of Wireless And Mobile Computing
Publication Date
Tue Oct 07 2025
Journal Name
Management Research Review
Analysis of strategic initiatives within the systems and complexity theory: conceptual framework
Purpose
Design/methodology/approach
Findings
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Strategic initiatives
Strategic initiative hierarchy
System theory
Complex theory
Self-organization
Complex adaptive system
This paper aims to explain strategic initiatives as a complex phenomenon. It integrates systems and complexity theory to describe how strategic initiatives emerge, enabling decision-makers to ensure the sustainability of strategic initiatives.
Use the systematic review process, which includes original contributions for strategic initiatives between 1980 and 2024.
Publication Date
Tue Mar 08 2022
Journal Name
Chemical Biology & Drug Design
SARS‐CoV‐2 and its variants of concern including Omicron: A never ending pandemic
Abstract<p>The ongoing COVID‐19 pandemic caused by SARS‐CoV‐2 is associated with high morbidity and mortality. This zoonotic virus has emerged in Wuhan of China in December 2019 from bats and pangolins probably and continuing the human‐to‐human transmission globally since last two years. As there is no efficient approved treatment, a number of vaccines were developed at an unprecedented speed to counter the pandemic. Moreover, vaccine hesitancy is observed that may be another possible reason for this never ending pandemic. In the meantime, several variants and mutations were identified and causing multiple waves globally. Now the safety and efficacy of these vaccines are debatable and recommended to d</p>
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(47)
Publication Date
Sun Jan 01 2017
Journal Name
International Journal Of Advanced Computer Science And Applications
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