Browsing Department of Computer Science and Engineering by Title
Now showing items 1-20 of 56
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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 ... -
Altering Split Decisions of Coding Units for Message Embedding in HEVC
(Springer, 2017-05)This paper proposes a novel message embedding solution based on modifying the split decisions of HEVC videos. The encoder starts by computing a mapping between the split decisions of a Coding Unit (CU) and its features ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Continuous Arabic Sign Language Recognition in User Dependent Mode
(Scientific Research, 2010)Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this ... -
Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
(Institution of Engineering and Technology, 2019-07)This paper proposes a data embedding solution in HEVC videos by modifying the partitioning of Coding Units (CUs). The partitions of a CU are first represented as a sequence of binary flags. The flags pertaining to 16x16 ... -
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 ... -
Data Hiding in MPEG Video Files Using Multivariate Regression and Flexible Macroblock Ordering
(IEEE, 2012)This paper proposes two data hiding approaches using compressed MPEG video. The first approach hides message bits by modulating the quantization scale of a constant bitrate video. A payload of one message bit per macroblock ... -
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
(Elsevier, 2017)Gait Recognition is one of the latest and attractive biometric techniques, due to its potential in identification of individuals at a distance, unobtrusively and even using low resolution images. In this paper we focus on ... -
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 ... -
Detection of frame deletion for digital video forensics
(Elsevier, 2013-12)The abundance of digital video forms a potential piece of evidence in courtrooms. Augmenting subjective assessment of digital video evidence by an automated objective assessment helps increase the accuracy of deciding ... -
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, ... -
Error resiliency transcoding and decoding solutions using distributed video coding techniques
(Elsevier, 2008)This paper proposes a number of video transcoding techniques for the purpose of adding error resiliency. The proposed solutions make use of distributed video coding technologies which were originally reported in the ... -
Feature modeling using polynomial classifiers and stepwise regression
(Elsevier, 2010)In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as ... -
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, ...
