Browsing Computer Science & Engineering by Title
Now showing items 27-46 of 2288
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A Comparative Study of Machine Learning Approaches for Handwriter Identification
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)During the past few years, writer identification has attracted significant interest due to its real-life applications including document analysis, forensics etc. Machine learning algorithms have played an important role ... -
A comprehensive overview of feature representation for biometric recognition
( Springer , 2020 , Article)The performance of any biometric recognition system heavily dependents on finding a good and suitable feature representation space where observations from different classes are well separated. Unfortunately, finding this ... -
A Computation Offloading Incentive Mechanism with Delay and Cost Constraints under 5G Satellite-Ground IoV Architecture
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The 5G Internet of Vehicles has become a new paradigm alongside the growing popularity and variety of computation-intensive applications with high requirements for computational resources and analysis capabilities. Existing ... -
A concept analysis scheme of simple stories for learning resources through extraction of domain-based multimedia elements
( International Association of Online Engineering , 2017 , Article)Children with special needs face major difficulties to understand the script of stories. They cannot comprehend the words' meaning properly. Instructors use different techniques to explain them. They read the script several ... -
A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
( Elsevier , 2015 , Article)This research aims to describe pattern recognition models for detecting behavioural and health-related changes in a patient who is monitored continuously in an assisted living environment. The early anticipation of anomalies ... -
A cooperative Q-learning approach for distributed resource allocation in multi-user femtocell networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper studies distributed interference management for femtocells that share the same frequency band with macrocells. We propose a multi-agent learning technique based on distributed Q-learning, called subcarrier-based ... -
A cooperative Q-learning approach for online power allocation in femtocell networks
( IEEE , 2013 , Conference Paper)In this paper, we address the problem of distributed interference management of cognitive femtocells that share the same frequency range with macrocells using distributed multiagent Q-learning. We formulate and solve three ... -
A cost-aware model for risk mitigation in Cloud computing systems
( IEEE Computer Society , 2016 , Conference Paper)Security is an important element in Cloud computing. Intruders may exploit clouds for their advantage. This paper presents a cost-aware model for risk mitigation in cloud computing systems. The proposed model is integrated ... -
A cost-effective 3d acquisition and visualization framework for cultural heritage
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand ... -
A Cost-Effective Immersive Telexistence Platform for Generic Telemanipulation Tasks
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)Robots are expected to become an essential part in tackling the global corona virus pandemic. However, acquiring robotic technology in economically-challenged nations is very difficult for a variety of factors. This work ... -
A Course-Aware Opportunistic Routing Protocol for FANETs
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In recent years, unmanned aerial vehicles (UAVs) have gained popularity in various applications and services in both the military and civilian domains. Compared with the single-UAV scenario, flying ad hoc networks (FANETs) ... -
A Data-Driven Approach to Assessing Digital Transformation Maturity Factors in Government Institutes
( IEEE , 2023 , Conference Paper)Governments around the world are increasingly using digital transformation to improve their services and operations. Digital maturity assessment models however are mainly designed for business organizations, and there are ... -
A Decade of Internet of Things: Analysis in the Light of Healthcare Applications
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Impressive growth in the number of wearable health monitoring devices has affected global health industry as they provide rapid and intricate details related to physical examinations, such as discomfort, heart rate, and ... -
A decision support system based on ranking methods
( IEEE , 2003 , Conference Paper)The complexity of decision making in industrial and economic fields is a phenomenon that has become difficult to surmount. This makes the decision maker feel powerless in front of unpredictable, non understandable and ... -
A decision support system for automating document retrieval and citation screening
( Elsevier , 2021 , Article)The systematic literature review (SLR) process includes several steps to collect secondary data and analyze it to answer research questions. In this context, the document retrieval and primary study selection steps are ... -
A deep dive into COVID-19-related messages on WhatsApp in Pakistan
( Springer , 2022 , Article)The spread of COVID-19 and the lockdowns that followed led to an increase in activity on online social networks. This has resulted in users sharing unfiltered and unreliable information on social networks like WhatsApp, ... -
A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy
( Springer Verlag , 2018 , Conference Paper)Automated Diabetic Retinopathy (DR) screening methods with high accuracy have the strong potential to assist doctors in evaluating more patients and quickly routing those who need help to a specialist. In this work, we ... -
A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound
( MDPI , 2023 , Article)Transcranial doppler (TCD) ultrasound is a non-invasive imaging technique that can be used for continuous monitoring of blood flow in the brain through the major cerebral arteries by calculating the cerebral blood flow ... -
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
( Springer New York LLC , 2019 , Article)This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of ... -
A deep learning system for recognizing facial expression in real-time
( Association for Computing Machinery , 2019 , Article)This article presents an image-based real-time facial expression recognition system that is able to recognize the facial expressions of several subjects on a webcam at the same time. Our proposed methodology combines a ...