Department of Computer Science and Engineering
Work by the faculty and students of the Department of Computer Science and Engineering
Recent Submissions
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A New Data-Based Dust Estimation Unit for PV Panels
(MDPI, 2020)Solar photovoltaic (PV) is playing a major role in the United Arab Emirates (UAE) smart grid infrastructure. However, one of the challenges facing PV-based energy systems is the dust accumulation on solar panels. Dust ... -
IoT-solar energy powered smart farm irrigation system
(KeAi, 2019)As the Internet of things (IoT) technology is evolving, distributed solar energy resources can be operated, monitored, and controlled remotely. The design of an IoT based solar energy system for smart irrigation is essential ... -
Digital Twin Conceptual Model within the Context of Internet of Things
(MDPI, 2020)As the Internet of Things (IoT) is gaining ground and becoming increasingly popular in smart city applications such as smart energy, smart buildings, smart factories, smart transportation, smart farming, and smart healthcare, ... -
Big Data Energy Management, Analytics and Visualization for Residential Areas
(IEEE, 2020)With the rapid development of IoT based home appliances, it has become a possibility that home owners share with Utilities in the management of home appliances energy consumption. Thus, the proposed work empowers home ... -
Hybrid DCT/Pixel Domain Architecture for Heterogeneous Video Transcoding
(Elsevier, 2003)In this paper the pixel domain heterogeneous video transcoder proposed by the authors is implemented in the DCT domain. Consequently, the motion compensation and its inverse and the image down-sampling functions of the ... -
Multilayer Transcoding with format portability for multicasting of single-layered video
(IEEE, 2005)This paper proposes a novel multilayer video transcoding approach for multicasting pre-encoded video to heterogeneous end-systems via diverse grouping of networks. Multilayer transcoding is first addressed by means of ... -
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
(Springer, 2015)This paper proposes a novel approach to continuous Arabic Sign Language recognition. We use a dataset which contains 40 sentences composed from 80 sign language words. The dataset is collected using sensor-based gloves. ... -
Android mobile app for real-time bilateral Arabic sign language translation using leap motion controller
(IEEE, 2017)This paper introduces an android mobile App for real-time bilateral Arabic sign language translation. The system is designed to operate on isolated sign language words. The mobile App has four main components; sign language ... -
Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing
(IEEE, 2019)Gait recognition is gaining popularity as it can recognize people in a non-intrusive and a non-contact manner. However, gait recognition is known for its susceptibility to clothing conditions. In this paper, we propose a ... -
Syntax friendly and syntax amendment approaches to error resiliency in the MPEG-4 Simple Scalable Profile
(Elsevier, 2005)This work discusses two approaches to incorporating error resiliency in the Simple Scalable Profile SSP of the ISO/IEC MPEG-4 14496-2 visual standard. As such scalable MPEG-4 is made suitable for deployment in a mobile ... -
Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
(IEEE, 2007)This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are ... -
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
(Springer, 2007)This work introduces two novel approaches for feature extraction applied to video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion ... -
A case study of a college-wide first-year undergraduate engineering course
(Taylor & Francis, 2014)Introductory engineering courses are either programme specific or expose students to engineering as a broad discipline by including materials from various engineering programmes. A common introductory engineering course ... -
Remote Labs and Game-Based Learning for Process Control
(Chemical Engineering Education, 2013)Social networking platforms and computer games represent a natural informal learning environment for the current generation of learners in higher education. This paper explores the use of game-based learning in the context ... -
FPGA-Based Network Traffic Classification Using Machine Learning
(IEEE Xplore, 2020)Real-time classification of internet traffic is critical for the efficient management of networks. Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy. ... -
Recursive Quad-Tree Block Partitioning for Data Embedding in Images
(Springer, 2020)In this paper, we propose to embed messages in raw images using a recursive block partitioning technique adopted from HEVC video coding technology. This work introduces a quad-tree partitioning solution in which square ... -
Bioluminescence Imaging Applications in Cancer: A Comprehensive Review
(IEEE, 2020)Bioluminescence imaging (BLI), an optical preclinical imaging modality, is an invaluable imaging modality due to its low-cost, high throughput, fast acquisition times, and functional imaging capabilities. BLI is being ... -
Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding
(Springer, 2020)This paper proposes learning-based approaches for transcoding MPEG-2 video into HEVC. In the training mode of the transcoder, mappings between extracted features and split decisions are calculated. While in the transcoding ... -
Using Linear Regression and Back Propagation Neural Networks to Predict Performance of Soiled PV Modules
(Elsevier, 2019)This paper presents a study on neural network-based modeling techniques and sensor data to estimate the power output of photovoltaic systems under soiling conditions. Predicting maximum power output under soiling conditions ... -
Internet of things based multi-sensor patient fall detection system
(National Center for Biotechnology Information, 2019)Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness. In this study, the authors present a cost-effective ...
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