Browsing Faculty of Engineering by Document Type "Conference paper"
Now showing items 41-60 of 950
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Analysis of energy harvesting for green cognitive radio networks
(IEEE, 2014)This paper develops a Markov Chain analysis framework for an RF energy harvesting cognitive radio network where the secondary system users are furnished with finite-sized batteries. We consider a network where the only ... -
Analysis of field correlations in atmospheric optical MIMO systems
(IEEE, 2014)In this paper, we evaluate the absolute field correlations for a free space optical (FSO) multiple-input multiple-output (MIMO) link operating in a turbulent atmosphere. Such knowledge is needed in heterodyne reception to ... -
Analysis of speaker similarity in the statistical speech synthesis systems using a hybrid approach
(IEEE, 2012)Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ... -
Analysis of X(4140) like states and their radial excitations in QCD
(Sissa Medialab Srl, 2017)In this work, we investigated the X(4140) and like states and their radial excitations by using molecular and diquark-antidiquark currents which couple to scalar, axial vector and tensor states via QCD sum rules. In operator ... -
Analyzing the benefits and challenges of building information modelling and life cycle assessment integration
(IEEE, 2020)Previous studies show that the architecture, engineering and construction (AEC) industry contributes up to 1/3 of global GHG emissions. With the aim of mitigating negative impacts of AEC industry on the natural environment, ... -
An antenna for implanted device systems
(IEEE, 2017)In this study, we designed and simulated an embedded spiral-shaped microstrip patch antenna for medical biotelemetry applications. Important design parameters were studied to understand their effect on the antenna performance. ... -
Application of a disturbance observer based controller to improve vehicle ride
(Canadian Acoustical Association, 2019)In this paper the application of a disturbance observer based control algorithm is proposed to improve the vehicle ride performance of a vehicle that has magnetorheological damper (MR Damper) suspension. The vehicle is ... -
Applying migrating birds optimization to credit card fraud detection
(Springer Science+Business Media, 2013)We discuss how the Migrating Birds Optimization algorithm (MBO) is applied to statistical credit card fraud detection problem. MBO is a recently proposed metaheuristic algorithm which is inspired by the V flight formation ... -
An approach for detecting inconsistencies between behavioral models of the software architecture and the code
(IEEE, 2012)In practice, inconsistencies between architectural documentation and the code might arise due to improper implementation of the architecture or the separate, uncontrolled evolution of the code. Several approaches have been ... -
An approach for predicting employee churn by using data mining
(IEEE, 2017)Employee churn prediction which is closely related to customer churn prediction is a major issue of the companies. Despite the importance of the issue, there is few attention in the literature about. In this study, we ... -
Arabic offensive language on twitter: Analysis and experiments
(Association for Computational Linguistics (ACL), 2021)Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arabic offensive tweet dataset. We introduce ... -
Are the streamingformat wars over?
(IEEE, 2018-11-28)An average US viewer watches some form of video content five hours a day. The majority ofthe viewed content is still broadcast (over the air, cable, IPTV or satellite), however, the share of the streaming content has been ... -
An area efficient real time implementation of dual tree complex wavelet transform in field programmable gate arrays
(IEEE, 2015)Biomedical signals (BSs), which give information about the normal condition and also the inherent irregularities of our body, are expected to have non-stationary character due to the time-varying behavior of physiological ... -
Artificial intelligence tools for academic management: assigning students to academic supervisors
(International Academy of Technology, Education and Development (IATED), 2020)In the last few years, there has been a broad range of research focusing on how learning should take place both in the classroom and outside the classroom. Even though academic dissertations are a vital step in the academic ... -
Assessments on the improved modelling for pneumatic artificial muscle actuators
(IEEE, 2015)In this paper, we present an analysis regarding the pneumatic air muscle modelling, with a particular emphasis on the exoskeleton robot control. We propose two calibration approaches for obtaining the model identification ... -
Asset price and direction prediction via deep 2D transformer and convolutional neural networks
(ACM, 2022-11-02)Artificial intelligence-based algorithmic trading has recently started to attract more attention. Among the techniques, deep learning-based methods such as transformers, convolutional neural networks, and patch embedding ... -
Authoring and presentation tools for distance learning over interactive TV
(ACM, 2010)We present a complete system for distance learning over interactive TV with novel tools for authoring and presentation of lectures and exams, and evaluation of student and system performance. The main technological ... -
Automated adaptive playback for encoder-adjudicated live sports
(IEEE, 2022)In low-latency live streaming, it is not easy to simultaneously avoid stalls and maintain low latency. The trade-off needs to be decided in real time. One of the best tools for controlling the buffer level (hence, the ... -
Automated classification of static code analysis alerts: a case study
(IEEE, 2013)Static code analysis tools automatically generate alerts for potential software faults that can lead to failures. However, developers are usually exposed to a large number of alerts. Moreover, some of these alerts are ... -
Automated extraction of feature models from android based portable devices
(IEEE, 2017)Domain analysis is an essential activity in software product line engineering to identify common and variable features among the products of a product family. Feature models are commonly used for depicting the identified ...
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