Browsing Masters Theses by College/Dept "Department of Computer Science and Engineering"
Now showing items 1-20 of 60
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Arabic Multimodal Emotion Recognition Using Deep Learning
(2022-05)Emotions are an essential part of human communication since it shapes how information is received. As part of human-computer interaction, researchers are extending Emotion Recognition (ER) to machines. ER can contribute ... -
Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities
(2022-08)Sleep apnoea (SA) is a chronic sleep related breathing disorder characterized by partial or complete airway obstruction, known as Obstructive Sleep Apnoea (OSA), or when the brain does not communicate the proper signals ... -
Assessment of Usability of Web-Based Applications' User Interfaces
(2017-07)System intelligence can be expressed in terms of how much it helps to make a desired task easy for human beings. The concept can be extended to user interface of computer software which is the cornerstone of human- machine ... -
Automatic Video Summarization Using HEVC and CNN Features
(2022-11)With the incredible surge of the internet and surveillance footage, there is a vast number of digital videos. The need to summarize these videos within databases is very crucial. This is where video summarization comes in ... -
Biometric Identification Based on Eye Movement and Iris Features Using Task-Driven and Task-Independent Stimuli
(2013-06)This work investigates the feasibility of using the dynamic features of the eyes for biometric identification. Identifying individuals using eye movements is typically limited by a low accuracy, thus preventing this technique ... -
Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation
(2023-11)Breast cancer, the most prevalent cancer in women as of 2020, poses significant health risks. Early detection is crucial for effective management, and mammography serves as a key screening method. Mammograms, produced ... -
Classification of Cognitive Workload Levels under Vague Visual Stimulation
(2016-05)In most applications where humans are involved, it is important to augment the interaction between users and the components of these applications. One significant element is the cognitive state of ... -
Collaborative Caching for D2D Content Sharing in 5G
(2021-05)Due to a huge number of mobile devices expected to be connected to 5G wireless networks and their expected demand for high data-rate multimedia services, the core network and backhaul links are expected to carry enormous ... -
Data Embedding and Extraction in Scrambled Video using Machine Learning
(2020-12)Data embedding in videos and images has various important applications such as digital rights management (DRM), content authentication, copyright protection, error resiliency and concealment as well as law enforcement. ... -
Design and Analysis of Secure Digital Twin Architecture
(2022-06)In recent years, Digital Twin has been gaining popularity in various smart city applications like smart manufacturing, smart energy, smart mobility, and smart healthcare. Digital Twin in simple term, can be described as a ... -
Detection of Double and Triple Compression in Videos for Digital Forensics Using Machine Learning
(2020-12)Digital video forensics is the process of analysing, examining and comparing a video for use in legal matters and court cases. In digital video forensics, the main aim is to detect and identify video forgery and manipulation ... -
Developing Quantitative Assessment Metrics for Determining the Intelligence Level of a Human-Computer Interface
(2014-01)The quality of human-computer interfaces is becoming increasingly important as smart devices are becoming an essential part of our lives. Often what makes or breaks the market success of a device is not the hardware, but ... -
Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines
(2016-06)Derivation of input sequences for distinguishing states of a finite state machine (FSM) specification is well studied in the context of FSM-based functional testing. We present three heuristics for the derivation of ... -
Energy-Aware Qos Scheduling at Mac Level in Wimax
(2011-01)In a mobile wireless network, energy saving of mobile devices is one of the most important features for the extension of devices' life-time and the network. In mobile networks, the device is expected to have several ... -
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
(2022-08)Animal Extinction and biodiversity loss is a major challenge faced by ecologists in today’s world due to increasing populations and industrialization. In their fight to protect endangered species, ecologists use remote ... -
Fault Coverage and Diagnosis of Protocols and Systems Modeled As Extended Finite State Machines
(2015-01)Automatic test derivation from formal specifications offers a rigorous discipline to functional conformance testing. In various application domains, such as communication protocols and other reactive systems, the specification ...