Browsing by Subject "Machine Learning"
Now showing items 21-35 of 35
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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches ... -
Machine Learning Prediction of Cancer from The Publicly Available Dataset
(2024 , Master Thesis)Prostate cancer in the second most common cause of cancer in men around the world and in Qatar with a high incidence rate worldwide. This has resulted in an increased mortality rate, making prostate cancer a healthcare ... -
Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study
( F1000Research , 2022 , Article)Background : Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and ... -
Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals
( MDPI , 2023 , Article)The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to assess the effectiveness of lung medications ... -
Machine unlearning: Its need and implementation strategies
( Association for Computing Machinery , 2021 , Conference Paper)Generally when users share information about themselves on some online platforms, they knowingly or unknowingly allow this data to be used by the companies behind these companies for various purposes including selling this ... -
A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)The 5G network provides higher bandwidth and lower latency for edge IoT devices to access the core business network. But at the same time, it also expands the attack surface of the core network, which makes the enterprise ... -
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
( IEEE , 2022 , Conference Paper)Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ... -
Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence
( Acta Materialia Inc , 2021 , Article)Clinical performance of osseointegrated implants could be compromised by the medications taken by patients. The effect of a specific medication on osseointegration can be easily investigated using traditional systematic ... -
Predicting hypertension using machine learning: Findings from Qatar Biobank Study
( PLoS ONE , 2020 , Article)Hypertension, a global burden, is associated with several risk factors and can be treated by lifestyle modifications and medications. Prediction and early diagnosis is important to prevent related health complications. The ... -
Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The performance of the same type of cloud resources, such as virtual machines (VMs), varies over time mainly due to hardware heterogeneity, resource contention among co-located VMs, and virtualization overhead. The performance ... -
PV power prediction in Qatar based on machine learning approach
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)PV output power is highly sensitive to many environmental parameters, hence, power available from plants based on this technology will be affected, especially in harsh environments such that of Gulf countries. In order to ... -
Quality Control and Regulatory Framework for Implementing Machine Learning in Clinical Diagnosis: The DNA Methylation Classifier in Pediatric Brain Tumors
(2024 , Master Thesis)Background: Accurately diagnosing CNS tumors is essential but difficult, with a notable risk of errors. To enhance diagnostic precision, the WHO now combines molecular data with traditional methods. While AI and ML ... -
Self-organized Operational Neural Networks with Generative Neurons
( Elsevier Ltd , 2021 , Article)Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ... -
Smart stock exchange market: A secure predictive decentralized model
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Stock exchanges around the world are exploring the best possible solution that can improve trading efficiency, lower the risks and tighten secu- rity levels. The working and functioning of a stock exchange involves very ... -
Urbanism Beyond Cognition: On Design and Machine Learning
( Qatar Univesrity Press , 2021 , Conference Paper)It could be argued that the introduction of new technologies always shifts the 'epistemological horizon' of the different fields they impact. New instruments allow expanding the range of parameters defining a discipline's ...