Browsing by Author "Amira, Abbes"
Now showing items 21-40 of 119
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An IoT-based framework for remote fall monitoring
( Elsevier , 2021 , Article)Fall detection is a serious healthcare issue that needs to be solved. Falling without quick medical intervention would lower elderly's chances of survival, especially if living alone. Hence, the need is there for developing ... -
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Identifying domestic appliances in the smart grid leads to a better power usage management and further helps in detecting appliance-level abnormalities. An efficient identification can be achieved only if a robust feature ... -
Appliance-Level Monitoring with Micro-Moment Smart Plugs
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry ... -
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
( Elsevier , 2021 , Article Review)Enormous amounts of data are being produced everyday by sub-meters and smart sensors installed in residential buildings. If leveraged properly, that data could assist end-users, energy producers and utility companies in ... -
Artificial intelligence with IoT for energy efficiency in buildings
( CRC Press , 2022 , Book chapter)Observing the electricity consumption nowadays may be extremely daunting; therefore, optimizing the consumers' usage is critical to ensuring the sustainability of energy resources. The employment of innovative technologies ... -
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 ... -
Blockchain-based recommender systems: Applications, challenges and future opportunities
( Elsevier , 2022 , Article Review)Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the analysis and mining of massive amounts of ... -
Boosting domestic energy efficiency through accurate consumption data collection
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ... -
Building power consumption datasets: Survey, taxonomy and future directions
( Elsevier , 2020 , Article Review)In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, ... -
Cloud energy micro-moment data classification: A platform study
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Energy efficiency is a crucial factor in the wellbeing of our planet. In parallel, Machine Learning (ML) plays an instrumental role in automating our lives and creating convenient workflows for enhancing behavior. So, ... -
Compressive sensing based electronic nose platform
( Elsevier , 2017 , Article)Electronic nose (EN) systems play a significant role for gas monitoring and identification in gas plants. Using an EN system which consists of an array of sensors provides a high performance. Nevertheless, this performance ... -
Compressive SensingBased Remote Monitoring Systems for IoT applications
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)Internet of things (IoT) is shifting the healthcare delivery paradigm from in-person encounters between patients and providers to an "anytime, anywhere" model delivery. Connected health has become more profound than ever ... -
Computationally efficient environmental monitoring with electronic nose: A potential technology for ambient assisted living
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Recently, ambient assisted living technologies have emerged to improve the quality of life of ageing populations. Identification of health-endangering indoor gases with a hardware-friendly solution may provide an early ... -
Content-based image retrieval with compact deep convolutional features
( Elsevier B.V. , 2017 , Article)Convolutional neural networks (CNNs) with deep learning have recently achieved a remarkable success with a superior performance in computer vision applications. Most of CNN-based methods extract image features at the last ... -
CouchDB Based Real-Time Wireless Communication System for Clinical Simulation
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Medical simulators are advancing in technology and complexity to enhance realism and hence implementing a real-time communication system for such simulators is a challenge that engineers face. This paper follows up on the ... -
CS-based fall detection for connected health applications
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Fall-related injuries of elderly people have become a major public-health burden resulting in direct physical, physiological and financial costs to the surfer and indirect societal costs. Automated fall detectors play a ... -
Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)This paper presents an overview of a PhD research project, completed tasks and future work. The aim of the research is to contribute to the improvement of gas identification systems at different levels by designing and ... -
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem ... -
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
( Elsevier , 2020 , Article)Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy ... -
Design and implementation of a gas identification system on Zynq SoC platform
( Asian Research Publishing Network , 2015 , Article)The Zynq-7000 based platforms are increasingly being used in different applications including image and signal processing. The Zynq system on chip (SoC) architecture combines a processing system based on a dual core ARM ...
