Browsing Department of Computer Science and Engineering by Title
Now showing items 27-46 of 57
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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 ... -
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 ... -
IoT Based Smart City Bus Stops
(MDPI, 2019)The advent of smart sensors, single system-on-chip computing devices, Internet of Things (IoT), and cloud computing is facilitating the design and development of smart devices and services. These include smart meters, smart ... -
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 ... -
Matrix Encoding for Data Hiding Using Multilayer Video Coding and Transcoding Solutions
(Elsevier, 2012)This paper proposes a multitier data hiding solution in MPEG video using matrix encoding. In the first tier of the proposed solution, raw video is encoded into two layers using multilayer Signal to Noise Ratio (SNR) encoding. ... -
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 ... -
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 ... -
MPEG-2 to HEVC Video Transcoding With Content-Based Modeling
(IEEE, 2013)This paper proposes an efficient MPEG-2 to HEVC video transcoder. The objective of the transcoder is to migrate the abundant MPEG-2 video content to the emerging HEVC video coding standard. The transcoder introduces a ... -
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 ... -
Multiple Proposals for Continuous Arabic Sign Language Recognition
(Springer, 2019)The deaf community relies on sign language as the primary means of communication. For the millions of people around the world who suffer from hearing loss, interaction with hearing people is quite difficult. The main ... -
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 ... -
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. ... -
Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation
(IEEE, 2017-07)This paper presents a novel method for classifying four different levels of cognitive workload. The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload ... -
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. ... -
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 ... -
Predicting split decisions of coding units in HEVC video compression using machine learning techniques
(Springer, 2018)In this work, we propose to reduce the complexity of HEVC video encoding by predicting the split decisions of coding units. We use a sequencedependent approach in which a number of frames belonging to the video being encoded ... -
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, ... -
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 ... -
A regression-based framework for estimating the objective quality of HEVC coding units and video frames
(Elsevier, 2015-05)A no-reference objective quality estimation framework is proposed. The framework is suitable for any block-based video codec. In the proposed solution, features are extracted from coding units and summarized to form features ... -
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 ...
