Browsing Computer Science & Engineering by Subject "Machine learning"
Now showing items 1-20 of 62
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A machine learning approach of load balance routing to support next-generation wireless networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)With the development of Next-generation Wireless Networks (NWNs), delay-sensitive traffic triggered by mobile applications (such as video stream and online games) will become an important part of the NWNs. With the increasing ... -
A machine learning framework for enhancing digital experiences in cultural heritage
( Emerald Group Publishing Ltd. , 2020 , Article)Purpose: Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which ... -
A machine learning-based optimization approach for pre-copy live virtual machine migration
( Springer , 2023 , Article)Organizations widely use cloud computing to outsource their computing needs. One crucial issue of cloud computing is that services must be available to clients at all times. However, the cloud services may be temporarily ... -
A novel Conceptual Machine Learning Method using Random Conceptual Decomposition
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ... -
An adaptive network coding scheme for multipath transmission in cellular-based vehicular networks
( MDPI AG , 2020 , Article)With the emergence of vehicular Internet-of-Things (IoT) applications, it is a significant challenge for vehicular IoT systems to obtain higher throughput in vehicle-to-cloud multipath transmission. Network Coding (NC) has ... -
Adversarial samples on android malware detection systems for IoT systems
( MDPI AG , 2019 , Article)Many IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has ... -
An integrated framework for the interaction and 3D visualization of cultural heritage
( Springer , 2023 , Article)In this study, the aim is to design and develop a 3D acquisition, visualization, and interaction framework to preserve cultural heritage and provide new ways to enable museum visitors and cultural audiences to virtually ... -
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu, and Twitch are gaining more momentum recently. Allocating the limited resources in a cost-effective manner while maximizing the ... -
Analysis of customers' satisfaction with baby products: The moderating role of brand image
( Elsevier , 2023 , Article)The previous experience of customers is assessed by textual reviews and ratings to reflect their levels of satisfaction with the service or product. Online reviews and ratings have played a vital role to assess the performance ... -
Arabic natural language processing for Qur'anic research: a systematic review
( Springer Nature , 2023 , Article)The Qur'an is a fourteen centuries old divine book in Arabic language that is read and followed by almost two billion Muslims globally as their sacred religious text. With the rise of Islam, the Arabic language gained ... -
Artificial Intelligence in Predicting Heart Failure
( Qatar University Press , 2021 , Poster)Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), ... -
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks
( MDPI , 2021 , Article)Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. In addition to their useful applications, an alarming ... -
Automated knowledge discovery in facility layout planning
( International Business Information Management Association, IBIMA , 2014 , Conference Paper)This paper proposes a novel methodology for facilities layout planning and optimization in which fitness evaluation of layout alternatives is done in an automated manner using an artificial neural network trained to user ... -
Breast cancer image classification using pattern-based Hyper Conceptual Sampling method
( Elsevier Ltd , 2018 , Article)The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been ... -
Classification ensemble to improve medical named entity recognition
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ... -
Classification of corneal nerve images using machine learning techniques
( Penerbit UTHM , 2019 , Article)Recent research shows that small nerve fiber damage is an early detector of neuropathy. These small nerve fibers are present in the human cornea and can be visualized through the use of a corneal confocal microscope. A ... -
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
( Elsevier , 2023 , Article)Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in children can negatively impact ... -
Conceptualization of Artificial Intelligence in Airway Management
( Hamad bin Khalifa University Press (HBKU Press) , 2022 , Article)Background: Failed intubation is the single most important cause of patient morbidity and mortality during anesthesia for surgery. The incidence of difficult intubation could be as high as 12% while failed intubation is ... -
Cryptocurrencies and artificial intelligence: Challenges and opportunities
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Decentralized cryptocurrencies have gained a lot of attention over the last decade. Bitcoin was introduced as the first cryptocurrency to allow direct online payments without relying on centralized financial entities. The ... -
Dairy Cow Rumination Detection: A Deep Learning Approach
( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination ...