Search
Results: 14
Indoor Framework
Sultan Alamri
Jan 01, 2022
The tracking of spatial objects in indoor location-based services is becoming increasingly important for many applications. However, much research has focused only on querying and indexing in indoor spaces without considering...
Published by: IGI Global
One Pot Synthesis of CoTiO3-TiO2 Composite Nanofibers and its Application in Dye Degradation
M. Hassan
Jul 01, 2019
CoTiO3-TiO2 composite nanofibrous photocatalysts were synthesized by means of the one-step electrospinning method. The samples were characterized by a range of different methods (XRD, SEM, EPMA, FT-IR, UV-DRS, and TEM)....
Published by: IGI Global
Determinants of Online Purchase Intention of Apparel Products in Lebanon
This study investigates factors (perceived usefulness, perceived ease of use, privacy concerns, trust, innovativeness, and perceived benefits) affecting Lebanese consumers’ attitude toward online purchasing and their intention...
Published by: IGI Global
Batting Outside the Field
This study examines the relationship between cognitive awareness and perceived knowledge of sports fans’ social media engagement behaviors. Data were collected through an online survey of 236 adults from India who identified as...
Published by: IGI Global
Continuous Intention of Entry-Level MIS Professionals to Stay Working in the MIS Field
While many studies focused on what is management information system (MIS) major, how it attracts potential students, and describes needed skills, the perceptions of fresh MIS graduates' continuous intention to stay working in...
Published by: IGI Global
An Ensemble Random Forest Algorithm for Privacy Preserving Distributed Medical Data Mining
As the voluminous amount of data is generated because of inexorably widespread proliferation of electronic data maintained using the Electronic Health Records (EHRs). Medical health facilities have great potential to discern the...
Published by: IGI Global
Power Consumption Prediction of IoT Application Protocols Based on Linear Regression
The advent of the Internet of Things (IoT) augurs new cutting-edge applications in modern life such as smart cities and smart grids. These applications require protocols more efficient for ensuring the reliability of data...
Published by: IGI Global
A Novel Multi-Objective Nonlinear Discrete Binary Gaining-Sharing Knowledge-Based Optimization Algorithm
GSK algorithm is based on the concept of how humans acquire and share knowledge through their lifespan. Discrete Binary version of GSK named novel binary Gaining Sharing knowledge-based optimization algorithm (DBGSK) depends on...
Published by: IGI Global
Islamic Securitization as a Yardstick for Investment in Islamic Capital Markets
The paper shows that Islamic securitization through Sukuk securities is vital in fostering the Islamic capital market. Sukuk investments entail investors and issuers to follow a set of nuanced moral and ethical principles beyond...
Published by: IGI Global
Predictive Model Using a Machine Learning Approach for Enhancing the Retention Rate of Students At-Risk
Student retention is a widely recognized challenge in the educational community to assist the institutes in the formation of appropriate and effective pedagogical interventions. This study intends to predict the students at-risk...
Published by: IGI Global
Who Are More Active and Influential on Twitter?
Twitter is an emerging form of news media with a wide spectrum of participants involving in news dissemination. Owing to their open and interactive nature, individuals, non-media, and non-commercial participants may play a...
Published by: IGI Global
Exploring the Inescapable Suffering Among Postgraduate Researchers
Nabil Al-Kumaim, Siti Hassan, Muhammad Shabbir, Abdulwahab Almazroi, Hussein Abu Al-Rejal
Jan 01, 2021
This study aims to get a deep understanding of the causes, effects, and remedies of information overload (IO) phenomenon among postgraduate scholars in the era of advanced internet technology. In-depth semi-structured...
Published by: IGI Global
Mapping Intrinsic Vulnerability to Pollution Using the DRASTIC Method in the Temara Groundwater (Northwestern Morocco)
the DRASTIC method was chosen because it can be adapted to different environments and because it combines the seven criteria that directly influence groundwater: depth, recharge, geology, soil, slope, unsaturated zone and...
Published by: IGI Global
The CAMELS Project
Abstract
The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological...
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G Mohammad, Sultan Hassan, Emily Moser, Erwin T Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver HE Philcox, Benjamin D Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze WK Wong, William R Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin Wandelt, Rachel S Somerville, Greg L Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Federico Marinacci, Mark Vogelsberger
Apr 06, 2023