ORCID Profile
0000-0002-9529-6320
Current Organisation
Murdoch University
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Publisher: IEEE
Date: 11-2011
Publisher: Springer International Publishing
Date: 2021
Publisher: IEEE
Date: 04-2013
Publisher: Springer International Publishing
Date: 2019
Publisher: Emerald
Date: 06-08-2018
DOI: 10.1108/IJILT-05-2017-0043
Abstract: The purpose of this paper is to investigate the factors that may impact on the acceptance of the e-book amongst mathematics and statistics (MAS) students at higher education institutions in Libya. A theoretical model has been developed based on the technology acceptance model (TAM). The factors ided into three groups: intrinsic variables represent the first group of factors that are related to the user or the potential users itself, such as Self-Efficacy and Resistance to Change. Second, extrinsic variables include all the factors that reflect the characteristics of the e-book and the infrastructure for universities, which are Mobility (M), Facilities (F) and Library Service Quality (LS). TAM constructs from Perceived Ease Of Use (PEOU), Perceived Usefulness (PU), Attitude (AU) and Behaviour Intention (BI) represent the last group. Data relating to the constructs were collected through a self-administered survey in 2014. The developed model was measured and tested by structural equation modelling using AMOS (22.0). The result confirmed that the structural model fits the data well. According to the results, TAM constructs have a significant impact on the acceptance of e-book among MAS students at universities in Libya. In addition, the intrinsic variables play the important role to predict students’ BI. Although the extrinsic variables were less important, Facilities was the strong factor in this group. The adoption of e-book amongst higher education students in Libya is still quite low. Hence, identifying the factors that may contribute to e-book adoption is crucial. The contribution of this paper is to determine the factors that effect on the acceptance of e-book amongst MAS students at higher education institutions in Libya.
Publisher: Common Ground Research Networks
Date: 2010
Publisher: IEEE
Date: 12-2019
Publisher: The Electrochemical Society
Date: 11-10-2011
DOI: 10.1149/1.3655712
Abstract: Considering the safety, cost and low ohmic resistance issues with respect to the non-aqueous electrolytes that are generally used in rechargeable lithium ion batteries, aqueous electrolytes attract wide interest. A traditional Zn-MnO2 battery in which potassium hydroxide (KOH) has been replaced with a lithium hydroxide (LiOH) electrolyte is discussed. As lithium intercalation materials are of special interest as cathode in rechargeable batteries, the new concept has been extended to use lithium nickel phosphate as cathode for aqueous rechargeable batteries. Here, we show reversible extraction and insertion of lithium from and into olivine LiNiPO4 in aqueous solutions. These cells are found to be cheap, rechargeable and safe. The unique sol-gel synthesis has been used to synthesize LiNiPO4 which has been characterized in order to evaluate a new potential cathode for aqueous rechargeable batteries.
Publisher: Springer Singapore
Date: 2016
Publisher: IEEE
Date: 06-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: University of Technology, Sydney
Date: 2018
DOI: 10.5130/ACIS2018.CC
Publisher: Association for Computing Machinery (ACM)
Date: 04-02-2019
DOI: 10.1145/3295748
Abstract: Generating a description of an image is called image captioning. Image captioning requires recognizing the important objects, their attributes, and their relationships in an image. It also needs to generate syntactically and semantically correct sentences. Deep-learning-based techniques are capable of handling the complexities and challenges of image captioning. In this survey article, we aim to present a comprehensive review of existing deep-learning-based image captioning techniques. We discuss the foundation of the techniques to analyze their performances, strengths, and limitations. We also discuss the datasets and the evaluation metrics popularly used in deep-learning-based automatic image captioning.
Publisher: IEEE
Date: 2005
Publisher: Springer International Publishing
Date: 08-11-2014
Publisher: Springer International Publishing
Date: 2019
Publisher: ACM
Date: 02-12-2020
Publisher: Elsevier BV
Date: 09-2002
DOI: 10.1016/S0304-4017(02)00200-5
Abstract: The IVPro isolate of Haemonchus contortus was isolated in 1999 after significant numbers of the parasite survived an ivermectin capsule treatment of grazing sheep acquiring a natural infection at Prospect, NSW, Australia. The isolate shows high-level resistance to ivermectin (faecal egg count is unaffected by ivermectin oral treatment at 0.2mg kg(-1)). The larval LC(50), as assessed by larval development assays (LDAs), is only approximately two-fold higher than several susceptible isolates, making it difficult to detect the resistance using larval LC(50) as an indicator. However, the isolate shows the presence of a small proportion of the population (<20%) able to develop at significantly higher drug concentrations than the susceptible isolates. Hence, if the IVPro and susceptible isolates are compared at the LC(99) level, the IVPro isolate is readily identifiable as resistant. This degree of distinction at the LC(99) allows the IVPro isolate to be identified as resistant by simply observing the highest drug concentration in the development assay at which some larvae develop relative to the susceptible isolates. Assessing the development assay using this criterion allows a distinction between IVPro and the susceptible isolates equivalent to 10-fold differences in drug concentration, greatly increasing the likelihood of detecting the resistant isolate in routine resistance tests. This study highlights the need to examine this aspect of LDAs in order to detect the type of resistance displayed by IVPro H. contortus.
Publisher: Springer Netherlands
Date: 2010
Publisher: Elsevier BV
Date: 07-2015
Publisher: IGI Global
Date: 2011
DOI: 10.4018/978-1-60960-517-9.CH011
Abstract: Constructivist learning emphasizes students’ involvement in the learning process, how they become self-directed learners and actively engaged in the learning environment. This chapter describes Collaborative Virtual Environment (CVE) and its relevance to collaborative learning and constructivism. The authors developed the Collaborative World Design Tool (CWDT) software to evaluate the benefits of CVE for architectural design students. The CWDT was developed based on the Torque 3D Game Engine, thus the appearance and functionalities of the CWDT within the CVE are similar to computer game playing environment. In the experiment, subjects designed within the CVE, were either experts or novices, worked either in idually or in pairs, and constructed a virtual building in a three-dimensional outdoor environment. Results show that working collaboratively within a CVE has great potential to increase performance where teamwork is faster than in idual work, and overall provide a constructive learning environment.
Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 06-2017
Publisher: Common Ground Research Networks
Date: 2013
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer International Publishing
Date: 2016
Publisher: Springer International Publishing
Date: 16-10-2014
Publisher: Informa UK Limited
Date: 27-03-2014
Publisher: IEEE
Date: 06-2013
Publisher: Author(s)
Date: 2018
DOI: 10.1063/1.5055458
Publisher: IEEE
Date: 06-2012
Publisher: Springer International Publishing
Date: 2019
Publisher: IEEE
Date: 10-08-2022
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Author(s)
Date: 2016
DOI: 10.1063/1.4960893
Publisher: Universidad Internacional de La Rioja
Date: 2018
Publisher: Springer International Publishing
Date: 2022
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 04-2017
Publisher: Springer Science and Business Media LLC
Date: 15-06-2018
Publisher: Common Ground Research Networks
Date: 2014
Publisher: Springer International Publishing
Date: 16-10-2014
Publisher: IEEE
Date: 11-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer International Publishing
Date: 2019
Publisher: IEEE
Date: 04-2015
Publisher: Springer International Publishing
Date: 2019
Publisher: IEEE
Date: 11-2017
Publisher: Springer International Publishing
Date: 2017
Publisher: Springer International Publishing
Date: 2018
Publisher: Hindawi Limited
Date: 08-11-2021
DOI: 10.1002/INT.22731
Publisher: Common Ground Research Networks
Date: 2009
Publisher: Springer Netherlands
Date: 15-12-2009
Publisher: Elsevier BV
Date: 2020
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Mohd Fairuz Shiratuddin.