Browsing Faculty Contributions by Subject "machine learning"
Now showing items 61-67 of 67
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Recommendation System Towards Residential Energy Saving Based on Anomaly Detection
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Conference Paper)This paper presents a recommender system to promote energy consumption reduction behaviors in residential buildings. The system exploits data stream processing methods jointly with machine learning algorithms on real-time ... -
Reinforcement Learning Based EV Charging Management Systems-A Review
( IEEE , 2021 , Article)To mitigate global warming and energy shortage, integration of renewable energy generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been introduced in recent years. The application of ... -
A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare sector. The branch of IoT dedicated towards medical science is at times termed as Healthcare Internet of Things (H-IoT). The ... -
Risk prediction of early decline in renal function in diabetic kidney disease with algorithm including fractional excretion of glycated amino acids
( Qatar University Press , 2021 , Poster)Background and aims: Diabetic kidney disease occurs in ca. 40% patients with diabetes. Approximately 1 in 5 patients with type 1 diabetes mellitus (T1DM) and 1 in 3 patients with type 2 diabetes mellitus (T2DM) develop ... -
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 ... -
SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION
( IEEE Computer Society , 2022 , Conference Paper)The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ... -
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
( MDPI , 2023 , Article Review)The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both ...