Browsing Managment by Title
Now showing items 129-148 of 664
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A D-Band Waveguide-SIW Transition for 6G Applications
(2022-07)Altaf, A., Elahi, M., Abbas, S. M., Yousaf, J., & Almajali, E. (2022). A D-Band Waveguide-SIW Transition for 6G Applications. Journal of Electromagnetic Engineering and Science, 22(4), 419-426. -
Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review
(Springer US, 2016-11)With the widespread use of healthcare information systems commonly known as electronic health records, there is significant scope for improving the way healthcare is delivered by resorting to the power of big data. This ... -
A Data Mining Framework for the Analysis of Patient Arrivals into Healthcare Centers
(ACM, 2017-12)We present a data mining framework that can be applied for analyzing patient arrivals into healthcare centers. The sequentially applied methods are association mining, text cloud analysis, Pareto analysis, cross-tabular ... -
Data provenance for cloud forensic investigations, security, challenges, solutions and future perspectives: A survey
(Elsevier, 2022-11)It is extremely difficult to track down the original source of sensitive data from a variety of sources in the cloud during transit and processing. For instance, data provenance, which records the origins of data, and the ... -
A Data Size Reduction Approach Applicable in Process Control System of Oil and Gas Plants
(2020-01)In oil and gas plants, the cost of devices applicable for supervising and controlling systems directly depends on the transmission and storage systems, which are related to the data size of process variables. In this paper, ... -
A Data Size Reduction Approach Applicable in Process Control System of Oil and Gas Plants
(MDPI, 2020-01)In oil and gas plants, the cost of devices applicable for supervising and controlling systems directly depends on the transmission and storage systems, which are related to the data size of process variables. In this paper, ... -
A data‑driven approach to measuring epidemiological susceptibility risk around the world
(2021-12)Epidemic outbreaks are extreme events that become more frequent and severe, associated with large social and real costs. It is therefore important to assess whether countries are prepared to manage epidemiological risks. ... -
Decision Making in Internet of Vehicles Using Pervasive Trusted Computing Scheme
(2021-04)Pervasive schemes are the significant techniques that allow intelligent communication among the devices without any human intervention. Recently Internet of Vehicles (IoVs) has been introduced as one of the applications of ... -
A Deep-Learning Framework for the Detection of Oil Spills from SAR Data
(Sensors, 2021-03)Oil leaks onto water surfaces from big tankers, ships, and pipeline cracks cause considerable damage and harm to the marine environment. Synthetic Aperture Radar (SAR) images provide an approximate representation for target ... -
A deeper look into cybersecurity issues in the wake of Covid-19: A survey
(Elsevier, 2022-11)This study analyzed the Coronavirus (COVID-19) crisis from the angle of cyber-crime, highlighting the wide spectrum of cyberattacks that occurred around the world. The modus operandi of cyberattack campaigns was revealed ... -
Deformation Adjustment with Single Real Signature Image for Biometric Verification Using CNN
(2022-06)Signature verification is the widely used biometric verification method for maintaining individual privacy. It is generally used in legal documents and in financial transactions. A vast range of research has been done so ... -
Dephasing process of a single atom interacting with a two-mode field
(2021-02)We consider the interaction of a qubit system with a two-mode field in the presence of multi-photon transition and phase damping effect. We use the master equation to obtain the den-sity operator when the qubit is initially ... -
The Design and Evaluation of an Orange-Fruit Detection Model in a Dynamic Environment Using a Convolutional Neural Network
(MDPI, 2023-02)Agricultural robots play a crucial role in ensuring the sustainability of agriculture. Fruit detection is an essential part of orange-harvesting robot design. Ripe oranges need to be detected accurately in an orchard so ... -
Designing machine operating strategy with simulated annealing and Monte Carlo simulation
(ELSEVIER, 2006-02)This paper describes a simulation-based parameter design (PD) approach for optimizing machine operating strategy under stochastic running conditions. The approach presents a Taguchi-based definition to the PD problem in ... -
Designing memorable guest experiences: Development of constructs and value generating factors in luxury hotels
(Emerald, 2019-06)Purpose Managing the customer experience is critical for hospitality businesses because business viability can depend on the delivery of valued guest experiences. The industry lacks research that can assist in developing ... -
Detection of Cancer in Medical Images using Deep Learning
(2021-12)Cancer is a serious disease that causes death by genomic disorder combination and diversity of unreasoning changes. This paper study the major deep learning techniques that are addressing medical image analysis and summarizes ... -
Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning
(BMC, 2022-11)The electroencephalography (EEG) signal carries important information about the electrical activity of the brain, which may reveal many pathologies. This information is carried in certain waveforms and events, one of which ... -
Determinants of innovation decisions among Emirati female-owned small and medium enterprises
(Emerald lnsight, 2019-11)This study uses a two-phased approach. In the first phase, empirical research on 50 Emirati female entrepreneurs is conducted to discover the extent of innovation in their ventures. In the second phase, the study uses an ... -
Determining Financial Uncertainty through the Dynamics of Sukuk Bonds and Prices in Emerging Market Indices
(2022-03)The main focus of the study is to determine the financial uncertainty while examining the Sukuk bonds prices, Sukuk bond and global emerging market indices returns dynamics. The study, with a time period ranging from 2017 ... -
Developing a graphical user interface for discrete event simulation
(IEEE, 2002-08)A key concern for the area of discrete event simulation modelling is to encourage its adoption and use by non-specialists. To achieve this it is important that we focus on developing techniques and tools that can be used ...