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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Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images
(IEEE, 2023)Recognition of continuous sign language is challenging as the number of words is a sentence and their boundaries are unknown during the recognition stage. This work proposes a two-stage solution in which the number of words ... -
Video-Based Recognition of Human Activity Using Novel Feature Extraction Techniques
(MDPI, 2023-06-05)This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature ... -
Static Video Summarization Using Video Coding Features with Frame-level Temporal Sub-Sampling and Deep Learning
(MDPI, 2023)There is an abundance of digital video content due to the cloud’s phenomenal growth and security footage, it is therefore essential to summarize these videos in data centers. This paper offers innovative approaches to the ... -
Assessing test suites of extended finite state machines against model and code based faults
(John Wiley & Sons, 2021)Tests can be derived from extended finite state machine (EFSM) specifications considering the coverage of single-transfer faults, all transitions using a transition tour, all-uses, edge-pair, and prime path with side trip. ... -
AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite
(MDPI, 2022)This paper aims to assist novice gardeners in identifying plant diseases to circumvent misdiagnosing their plants and to increase general horticultural knowledge for better plant growth. In this paper, we develop a mobile ... -
CNN and HEVC Video Coding Features for Static Video Summarization
(IEEE, 2022)This study proposes a novel solution for the detection of keyframes for static video summarization. We preprocessed the well-known video datasets by coding them using the HEVC video coding standard. During coding, 64 ... -
Classifying Maqams of Qur'anic Recitations Using Deep Learning
(IEEE Access, 2021)The Holy Qur’an is among the most recited and memorized books in the world. For beautification of Qur’anic recitation, almost all reciters around the globe perform their recitations using a specific melody, known as maqam ... -
Prediction of EV Charging Behavior Using Machine Learning
(IEEE Access, 2021)As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. One of the key challenges, however, ... -
Fog Computing Approach for Shared Mobility in Smart Cities
(MDPI, 2021)Smart transportation a smart city application where traditional individual models are transforming to shared and distributed ownership. These models are used to serve commuters for inter- and intra-city travel. However, ... -
Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography
(IEEE, 2021)Waterleakage detection and localization in distribution networks pipelines is a challenge for utility companies. For this purpose, thermal Infrared Radiation (IR) techniques have been widely applied in the literature. ... -
Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions
(MDPI, 2022)Breast cancer is the most commonly diagnosed cancer type and is the leading cause of cancer-related death among females worldwide. Breast screening and early detection are currently the most successful approaches for the ... -
In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks
(Society of Photo-Optical Instrumentation Engineers (SPIE), 2022)Respiratory-Correlated cone beam computed tomography (4D-CBCT) is an emerging image-guided radiation therapy (IGRT) technique that is used to account for the uncertainties caused by respiratory-induced motion in the ... -
Data Embedding in Scrambled Video by Rotating Motion Vectors
(Springer, 2022-03)Data embedding in videos has several important applications including Digital Rights Management, preserving confidentiality of content, authentication and tampering detection. This paper proposes a novel data embedding ... -
HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors
(IEEE, 2022)A high capacity message embedding in encrypted HEVC video is proposed in this paper. The challenges addressed in this paper include keeping the encrypted video compliant with standardized decoders, correctly decrypting the ... -
Using C++ to Calculate SO(10) Tensor Couplings
(MDPI, 2021-10-04)Model building in SO(10), which is the leading grand unification framework, often involves large Higgs representations and their couplings. Explicit calculations of such couplings is a multi-step process that involves ... -
Detecting Double and Triple Compression in HEVC Videos Using the Same Bit Rate
(Springer, 2021)Digital video forensics refers to the process of analysing, examining, evaluating and comparing a video for use in legal matters. In digital video forensics, the main aim is to detect and identify video forgery to ensure ... -
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 ...
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