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Now showing items 4306-4325 of 59985
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Automated Classification of Diabetic Retinopathy Severity: A Deep Learning Apprch
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference)Background: Diabetic retinopathy (DR) is a damage to the retina caused by complications of diabetes and is the fastest growing cause of blindness. It is a major concern for the Qatari population, affecting about 40% of ... -
Automated construction of variable density navigable networks in a 3D indoor environment for emergency response
( Elsevier , 2016 , Article)Widespread human-induced or natural threats on buildings and their users have made preparedness and rapid response crucial issues for saving human lives. The ability to identify the paths of egress during an emergency is ... -
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Resistance to differential cryptanalysis is a fundamental security requirement for symmetric block ciphers, and recently, deep learning has attracted the interest of cryptography experts, particularly in the field of block ... -
Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines
( Elsevier B.V. , 2018 , Article)In sewer networks, the economic effects and costs that result from a pipeline failure are rising sharply. As a result, there is huge demand for inspection and rehabilitation of sewer pipelines. In addition to being inaccurate, ... -
Automated Defect Detection Tool For Sewer Pipelines
(2017 , Master Thesis)In sewer networks, the economic effects and costs that result from a pipeline break are rising sharply. In Qatar, majority of the sewer network pipelines were installed in the last 20 years and are currently in poor condition ... -
Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling
( International Society for Trenchless Technology , 2016 , Conference)Sewer pipeline condition information is usually collected using closed circuit television (CCTV). Moreover, in order to evaluate the condition of pipeline, data should be processed by a certified operator, which is time ... -
Automated Detection of Brain Tumor through Magnetic Resonance Images Using Convolutional Neural Network
( Hindawi , 2021 , Article)Brain tumor is a fatal disease, caused by the growth of abnormal cells in the brain tissues. Therefore, early and accurate detection of this disease can save patient's life. This paper proposes a novel framework for the ... -
Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features
( Springer Berlin Heidelberg , 2014 , Article)Perinatal hypoxia is a cause of cerebral injury in foetuses and neonates. Detection of foetal hypoxia during labour based on the pattern recognition of heart rate signals suffers from high observer variability and low ... -
Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification
( Elsevier , 2025 , Article)Introduction: Posterior Urethral Valves (PUV) are rare congenital anomalies of the male urinary tract that can lead to urethral obstruction and increased risk of kidney disease. Traditional diagnosis relies on subjective ... -
Automated Fact-Checking for Assisting Human Fact-Checkers
( International Joint Conferences on Artificial Intelligence , 2021 , Conference)The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians and other key players enjoy direct access ... -
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning
( Elsevier , 2024 , Article)Background and motivations: Antenatal or prenatal hydronephrosis (AHN) is a common kidney complication in unborn children. While AHN is generally benign and resolves over time, this condition can inflict serious kidney ... -
Automated knowledge discovery in facility layout planning
( International Business Information Management Association, IBIMA , 2014 , Conference)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 ... -
Automated layer-wise solution for ensemble deep randomized feed-forward neural network
( Elsevier B.V. , 2022 , Article)The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ... -
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
( Elsevier , 2023 , Article)Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are ... -
Automated quantification of penile curvature using artificial intelligence
( Frontiers Media S.A. , 2022 , Article)Objective: To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images. Materials and methods: Nine 3D-printed ... -
An automated refactoring approach to improve IoT software quality
( MDPI AG , 2020 , Article)Internet of Things (IoT) software should provide good support for IoT devices as IoT devices are growing in quantity and complexity. Communication between IoT devices is largely realized in a concurrent way. How to ensure ... -
Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images
( Multidisciplinary Digital Publishing Institute (MDPI) , 2025 , Article)Ultrasound (US) remains the main modality for the differential diagnosis of changes revealed by mammography. However, the US images themselves are subject to various types of noise and artifacts from reflections, which can ... -
Automated Segmentation of Cerebral Aneurysm Using a Novel Statistical Multiresolution Approach
(2018 , Master Thesis)Cerebral Aneurysm (CA) is a vascular disease that threatens the lives of many adults. It a ects almost 1:5 - 5% of the general population. Sub- Arachnoid Hemorrhage (SAH), resulted by a ruptured CA, has high rates ... -
Automated Service Delivery and Optimal Placement for CRANs
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference)Traditionally, in cellular networks, users communicate with the base station that serves the particular cell under coverage. The main functions of a base station can be divided into two, which are the baseband unit (BBU) ... -
Automated service delivery platform for C-RANs
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)Cloud computing is gaining significant attention and virtualized data-centers are becoming popular as cost-effective infrastructure. Recently, there has been a trend to collocate the baseband unit (BBU) functionalities and ...
