Search
Results: 314
A Model of Semantic-Based Image Retrieval Using C-Tree and Neighbor Graph
The problems of image mining and semantic image retrieval play an important role in many areas of life. In this paper, a semantic-based image retrieval system is proposed that relies on the combination of C-Tree, which was built...
Published by: IGI Global
Moving K-12 Coursework Online
Online learning is part of the future of K-12 education. However, few online K-12 instructors have been formally trained in online pedagogy. This chapter describes best practices in creating online courses for K-12 students....
Published by: IGI Global
Investigating Student Perceptions and the Effectiveness of K-12 Blended Learning Communities
Richard Hartshorne, Gina Tovine, April Fleetwood, Andrew Shepherd, Colton Tapoler, Raquel Pesce
Sep 02, 2022
While the growth of blended learning environments in higher education and non-educational settings has continued to increase in recent years, this has not been the case in K-12 settings. Recently, in an effort to explore the...
Web-Based Teaching & Learning Education Curriculum Development and Instructional Design Computer Science and Information Technology Media and Communications
Published by: IGI Global
Cloud-Based Access Control Framework for Effective Role Provisioning in Business Application
In the evolution of social networks and big data, secure information sharing is a crucial task. When information is shared between the user and the organization admin, security plays a key role in any business organization in...
Published by: IGI Global
Automated Knowledge Extraction of Liver Cysts From CT Images Using Modified Whale Optimization and Fuzzy C Means Clustering Algorithm
In this study, the integrated modified whale optimization and modified fuzzy c-means clustering algorithm using morphological operations are developed and implemented for appropriate knowledge extraction of a cyst from computer...
Published by: IGI Global
MapReduce-Based Crow Search-Adopted Partitional Clustering Algorithms for Handling Large-Scale Data
Cluster analysis is the prominent data mining technique in knowledge discovery and it discovers the hidden patterns from the data. The K-Means, K-Modes and K-Prototypes are partition based clustering algorithms and these...
Published by: IGI Global
Investigating Student Perceptions and the Effectiveness of K-12 Blended Learning Communities
Richard Hartshorne, Gina Tovine, April Fleetwood, Andrew Shepherd, Colton Tapoler, Raquel Pesce
Jan 11, 2019
While the growth of blended learning environments in higher education and non-educational settings has continued to increase in recent years, this has not been the case in K-12 settings. Recently, in an effort to explore the...
Published by: IGI Global
Influence of Soil Drought Stress on C, N and P Stoichiometry of Tamarix Chinensis Lour. in Yellow River Delta, China
Qiangqiang Rong, Jingtao Liu, Yanpeng Cai, Zhaohua Lu, Zhenzhen Zhao, Wencong Yue, Jiangbao Xia
Aug 04, 2014
Taking the one-year-old T. chinensis (Tamarix chinensis Lour.) in Yellow River Delta as the study object, the variations of C, N and P stoichiometry in T. chinensis under drought stress was studied using pot experiments. The...
A Technique for Securing Big Data Using K-Anonymization With a Hybrid Optimization Algorithm
The recent techniques built on cloud computing for data processing is scalable and secure, which increasingly attracts the infrastructure to support big data applications. This paper proposes an effective anonymization based...
Published by: IGI Global
Bridging pre-surgical endocrine therapy for breast cancer during the COVID-19 pandemic
Rajiv V Dave, Beatrix Elsberger, Vicky P Taxiarchi, Ashu Gandhi, Cliona C Kirwan, Baek Kim, Elizabeth M Camacho, Charlotte E Coles, Ellen Copson, Alona Courtney, Kieran Horgan, Patricia Fairbrother, Chris Holcombe, Jamie J Kirkham, Daniel R Leff, Stuart A McIntosh, Rachel O'Connell, Ricardo Pardo, Shelley Potter, Tim Rattay, Nisha Sharma, Raghavan Vidya, Ramsey I Cutress, B-MaP-C study collaborative
Apr 17, 2023
PURPOSE: The B-MaP-C study investigated changes to breast cancer care that were necessitated by the COVID-19 pandemic. Here we present a follow-up analysis of those patients commenced on bridging endocrine therapy (BrET), whilst...
An Optimal K-Nearest Neighbor for Weather Prediction Using Whale Optimization Algorithm
The weather has a serious impact on the environment as it affects to change day to day life. In recent days, many algorithms were proposed to predict the weather. Although various machine learning algorithms predict the weather...
Published by: IGI Global
Ensuring Virtual Success
Very few academic programs in pre-service teacher education include opportunities for current and future K-12 educators to develop the necessary skills to teach in an online setting. While limited research has been done related...
Published by: IGI Global
Taking Responsibility for the Future
Although K–12 online education is becoming more common in the United States, there is still much we do not know about how K–12 online teachers are being prepared. Given that few teacher education programs include online pedagogy...
Published by: IGI Global
A Top-K QoS-Optimal Service Composition Approach Based on Service Dependency Graph
With the development of internet of things (IoT) technology, servitization of IoT device functions has become a trend. The cooperation between IoT devices can be equivalent to web service composition. However, current service...
Published by: IGI Global
Revised Weighted Fuzzy C-Means and Fortified Weiszfeld Hybrid Method for Uncapacitated Multi-Facility Location Problems
In this article, a hybrid method is proposed to solve the uncapacitated planar multi-facility location problems. The new hybrid method consists of a combination of the Revised Weighted Fuzzy C-Means (RWFCM) algorithm proposed by...
Published by: IGI Global
Prediction of Environmental Pollution Using Hybrid PSO-K-Means Approach
Air pollution is increasing day by day, decreasing the world economy, degrading the quality of life, and resulting in a major productivity loss. At present, this is one of the most critical problems. It has a significant impact...
Published by: IGI Global
Brain Tumour Segmentation in FLAIR MRI Using Sliding Window Texture Feature Extraction Followed by Fuzzy C-Means Clustering
In this paper, a hybrid approach using sliding window mechanism followed by fuzzy c means clustering is proposed for the automated brain tumour extraction. The proposed method consists three phases. The first phase is used for...
Published by: IGI Global
Web Bot Detection System Based on Divisive Clustering and K-Nearest Neighbor Using Biostatistics Features Set
Web bots are destructive programs that automatically fill the web form and steal the data from web sites. According to numerous web bot traffic reports, web bots traffic comprises of more than fifty percent of the total web...
Published by: IGI Global
Assessing Public Opinions of Products Through Sentiment Analysis
In the world of social networking, consumers tend to refer to expert comments or product reviews before making buying decisions. There is much useful information available on many social networking sites for consumers to make...
Data Mining Computer Science and Information Technology Data Analysis and Statistics Business and Management Library and Information Science
Published by: IGI Global
Hybrid Firefly-Ontology-Based Clustering Algorithm for Analyzing Tweets to Extract Causal Factors
Social media especially Twitter has become ubiquitous among people where they express their opinions on various domains. This paper presents a Hybrid Firefly – Ontology-based Clustering (FF-OC) algorithm which attempts to...
Published by: IGI Global
Melissa C. Brunkan
Oct 29, 2013
Previous studies have explored the use of real-time visual spectral feedback with adult and teenage singers. The purpose of the present investigation was to examine the perceptions of children (N=54), ages 7 to 13 years...
Published by: Faculty of Education
Assessing Public Opinions of Products Through Sentiment Analysis
In the world of social networking, consumers tend to refer to expert comments or product reviews before making buying decisions. There is much useful information available on many social networking sites for consumers to make...
Published by: IGI Global
Extended Single-Iteration Fuzzy C-Means, and Gustafson-Kessel Algorithms for Medium-Sized (106) Multisource Weber Problem
An uncapacitated multisource Weber problem involves finding facility locations for known customers. When this problem is restated as finding locations for additional new facilities, while keeping the current facilities, a new...
Published by: IGI Global
Naturally-occurring serotype 3 Streptococcus pneumoniae strains that lack functional pneumolysin and autolysin have attenuated virulence but induce localized protective immune responses.
Ηαnnah E Wong, Panagiotis Tourlomousis, Gavin K Paterson, Steve Webster, Clare E Bryant
Apr 09, 2023
Streptococcus pneumoniae is an important cause of fatal pneumonia in humans. These bacteria express virulence factors, such as the toxins pneumolysin and autolysin, that drive host inflammatory responses. In this study we...
Animals Horses Mice Streptococcus pneumoniae N-Acetylmuramoyl-L-alanine Amidase Tumor Necrosis Factor-alpha Bacterial Proteins Streptolysins Virulence Immunity Serogroup
Published by: PLOS ONE
Factors Affect the Sorption and Degradation of and Rostenedione in Three Typical Agricultural Soils From Different Regions
Androstenedione is a natural steroid hormone and endocrine disruptor. Batch and laboratory microcosm experiments and studies were conducted to investigate its adsorption and degradation in three soils. The Freundlichparameter Kf...
Published by: IGI Global
|
|< |
< |
1 |