Browsing by Author "Aly, Hussein"
Now showing items 1-7 of 7
-
Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data
( IEEE Computer Society , 2023 , Conference)The Smart Grid Advanced Metering Infrastructure (AMI) has revolutionized the smart grid network, generating vast amounts of data that can be utilized for diverse objectives, one of which is Household Characteristics ... -
Battery-Induced Load Hiding and Its Utility Consequences
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)The introduction of smart grids allows utility providers to collect detailed data about consumers, which can be utilized to enhance grid efficiency and reliability. However, this data collection also raises privacy concerns. ... -
Hybrid training of deep neural networks with multiple output layers for tabular data classification
( Elsevier , 2025 , Article)In the rapidly evolving landscape of deep learning, the ability to balance performance and computational efficiency is indispensable. Layer-wise training, which involves independently training each hidden layer of a neural ... -
Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions
( MDPI , 2023 , Article)Glucose monitoring is key to the management of diabetes mellitus to maintain optimal glucose control whilst avoiding hypoglycemia. Non-invasive continuous glucose monitoring techniques have evolved considerably to replace ... -
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ... -
RES-EV: Identifying EV-Households under High AC Load Using a Residual-Based Model
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)This paper introduces a novel residual-based model to identify households with Battery Electric Vehicles (EVs) under high Air Conditioning (AC) load. The considerable energy demands of AC units can obscure charging events ... -
Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
( Frontiers Media S.A. , 2022 , Article)(Figure presented.) Diabetes mellitus is characterized by elevated blood glucose levels, however patients with diabetes may also develop hypoglycemia due to treatment. There is an increasing demand for non-invasive blood ...
