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Results: 4386
National Identity and Sports in Latin America
“La Guerra de Fútbol,” Spanish for The Football War, erupted after a qualifying match in Mexico City between El Salvador and Honduras for the 1970 FIFA World Cup. Despite El Salvador winning the match, the state dissolved...
Entrepreneurial Leadership and Creativity in Projects
This paper aims to investigate the relationship between entrepreneurial leadership (EL) and creativity in projects. Additionally, the study also examine the mediating effect of innovative work behavior (IWB) and the moderating...
Published by: IGI Global
Using Experiential Learning to Improve Student Attitude and Learning Quality in Software Engineering Education
Experiential learning (EL) has great potential to transform students’ learning experience. Few studies, however, have focused on the use of EL in computer science education. The purpose of this study was to examine students'...
Published by: IGI Global
Finding Relevant Documents in a Search Engine Using N-Grams Model and Reinforcement Learning
The field of information retrieval (IR) is an important area in computer science, this domain helps us to find information that we are interested in from an important volume of information. A search engine is the best example of...
Published by: IGI Global
Being a Singer
Brian A. Roberts
Nov 19, 2013
Singers both rejoice and suffer under the weight of their instrument. It becomes not only a major part of their identity but, in many cases, it becomes their central or "master status" (Hughes, 1945). This research examines the...
Published by: Faculty of Education
A Model of Cloud Forensic Application With Assurance of Cloud Log
The key concepts of digital forensic investigation in cloud computing are examination and investigation. Cybercriminals target cloud-based web applications due to presence of vulnerabilities. Forensic investigation is a complex...
Published by: IGI Global
Blockchain in Healthcare
Blockchain, an immutable ledger or database shared by peers in a network, is comprised of records of events or transactions that are appended chronologically. Introduced via Bitcoin to the world, blockchain is increasingly being...
Published by: IGI Global
Against the Notion of Unidirectionality in Lexeme Genesis
Carl Rubino
Sep 05, 2013
The morphological continuum of grammaticization has been considered to be unidirectional, in which a lexical item undergoing the grammaticization process would become cognitively and phonologically bound to the root morpheme for...
Segmentation of Brain Tumors Using Three-Dimensional Convolutional Neural Network on MRI Images 3D MedImg-CNN
We consider the problem of fully automatic brain tumor segmentation in MR images containing glioblastomas. We propose a three Dimensional Convolutional Neural Network (3D MedImg-CNN) approach which achieves high performance...
Published by: IGI Global
Deep Convolutional Neural Networks for Customer Churn Prediction Analysis
Several machine learning models have been proposed to address customer churn problems. In this work, the authors used a novel method by applying deep convolutional neural networks on a labeled dataset of 18,000 prepaid...
Published by: IGI Global
Distributional Semantic Model Based on Convolutional Neural Network for Arabic Textual Similarity
The problem addressed is to develop a model that can reliably identify whether a previously unseen document pair is paraphrased or not. Its detection in Arabic documents is a challenge because of its variability in features and...
Published by: IGI Global
A Novel Framework Using Zero Shot Learning Technique for a Non-Factoid Question Answering System
Non-Factoid Question Answering (QA) is the next generation of textual QA systems, which gives passage level summaries for a natural language query, posted by the user. The main issue lies in the appropriateness of the generated...
Published by: IGI Global
Predicting Student Performance to Improve Academic Advising Using the Random Forest Algorithm
The Covid-19 pandemic constrained higher education institutions to switch to online teaching, which led to major changes in students’ learning behavior, affecting their overall performance. Thus, students’ academic performance...
Published by: IGI Global
Investigating Reading Experience of Dyslexic Children Through Dyslexia-Friendly Online Learning Environment
Dyslexia is one of the most common developmental disabilities; it is a disorder manifested by difficulty in learning to read despite conventional instruction, adequate intelligence, and sociocultural opportunity. The current...
Published by: IGI Global
A Service Architecture Using Machine Learning to Contextualize Anomaly Detection
This article introduces a service that helps provide context and an explanation for the outlier score given to any network flow record selected by the analyst. The authors propose a service architecture for the delivery of...
Published by: IGI Global
Sentiment Analysis on Movie Reviews Dataset Using Support Vector Machines and Ensemble Learning
The internet makes it easier for people to connect to each other and has become a platform to express ideas and share information with the world. The growth of the internet has indirectly led to the development of social...
Published by: IGI Global
Fully Automatic Detection and Segmentation Approach for Juxta-Pleural Nodules From CT Images
Early detection of all types of lung nodules with different characters in medical modality images using computer-aided detection is the best acceptable remedy to save the lives of lung cancer sufferers. But accuracy of different...
Published by: IGI Global
Optimal Weighted Logarithmic Transformation Converted HMOG Features for Automatic Smart Phone Authentication
Vinod P. R., Anitha A.
Jan 01, 2022
This paper intends to develop an automatic behavior-based smart phone authentication model by three major phases: feature extraction, weighted logarithmic transformation, and classification. Initially, from the data related to...
Published by: IGI Global
Metaheuristic Ensemble Pruning via Greedy-Based Optimization Selection
Mergani Khairalla
Jan 01, 2022
Ensemble selection is a crucial problem for ensemble learning (EL) to speed up the predictive model, reduce the storage space requirements and to further improve prediction accuracy. Diversity among individual predictors is...
Published by: IGI Global
Community-Centered Urban Sensing
The authors examine the problem of integrating urban sensing into engaged planning. The authors ask whether enhanced urban data and analysis can enhance resident engagement in planning and design, rather than hinder it, even...
Published by: IGI Global
Coupling of Dimensionality Reduction and Stacking Ensemble Learning for Smartphone-Based Human Activity Recognition
Human activity recognition (HAR) plays a vital role in the field of ambient assisted living (AAL) for the welfare of the elders who live alone in the home. AAL provides service through ambient sensors, vision systems, smartphone...
Published by: IGI Global
A Deep Learning Framework for Malware Classification
In this article, the authors propose a deep learning framework for malware classification. There has been a huge increase in the volume of malware in recent years which poses serious security threats to financial institutions...
Published by: IGI Global
Evaluating Urban Sensing Within Engaged Planning and Design
Civic technology models propose that urban environmental sensing and analysis can inform community-based decision making, but technology-driven planning and design is still subject to systemic challenges including a lack of...
Published by: IGI Global

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