Browsing by Author "Amira, Abbes"
Now showing items 1-20 of 119
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3D point cloud enhancement using unsupervised anomaly detection
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2019 , Conference Paper)3D point cloud is increasingly getting attention for perceiving 3D environment which is needed in many emerging applications. This data structure is challenging due to its characteristics and the limitation of the acquisition ... -
A Hybrid Feature Selection Method for Complex Diseases SNPs
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Machine learning techniques have the potential to revolutionize medical diagnosis. Single Nucleotide Polymorphisms (SNPs) are one of the most important sources of human genome variability; thus, they have been implicated ... -
A low power oscillator based temperature sensor for RFID applications
( IEEE Computer Society , 2013 , Conference Paper)In this paper we present a temperature sensor based on a ring oscillator. The ring oscillator uses the CMOS thyristor delay element and has an extremely low power consumption of about 47nW at room temperature with a supply ... -
A Low Power Reconfigurable Multi-sensing Platform For Gas Application
( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference Paper)Presence of toxic gases and accidental explosions in gas industries have turned the researcher to innovate an electronic nose system which can indicate the nature and the parameters of the gas passing through different ... -
A low power temperature sensor based on a voltage to time converter cell
( IEEE , 2013 , Conference Paper)In this paper we propose a temperature sensor, based on a voltage to time converter cell (VTC). A VTC is frequently employed in time to digital converters for generating a delay that is proportional to the input voltage. ... -
A method towards cerebral aneurysm detection in clinical settings
( Springer Verlag , 2019 , Conference Paper)Cerebral aneurysms are among most prevalent and devastating cerebrovascular diseases of adult population worldwide. The resulting sequelae of untimely/inadequate therapeutic intervention include sub-arachnoid hemorrhage. ... -
A Micro-Moment System for Domestic Energy Efficiency Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Domestic user behavior is a crucial factor guiding overall power consumption, necessitating the development of systems that analyze and help shape energy-efficient behavior. Therefore, the most important step in the process ... -
A model for predicting room occupancy based on motion sensor data
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)When designing a large scale IoT ecosystem, it is important to provide economical solutions at all levels, from sensors and actuators to the software used for analytics and orchestration. It is of equal importance to provide ... -
A multi-sensing reconfigurable platform for gas applications
( IEEE , 2014 , Conference Paper)The production of hazardous gases due to different physicochemical reactions in gas industries have raised the need of autonomous sensor tag. However the adaptation of remotely controlled sensor tag is still suffering with ... -
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
( Springer , 2020 , Article)Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ... -
A novel gateway-based solution for remote elderly monitoring
( Elsevier , 2020 , Article)Internet of Things (IoT) technologies have been applied to various fields such as manufacturing, automobile industry and healthcare. IoT-based healthcare has a significant impact on real-time remote monitoring of patients' ... -
A Reconfigurable Multipurpose SoC Mobile Platform for metal detection
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)Background and Objectives One of the key problems in mobile robotics is the ability to understand and analyze the surrounding environment in a useful way. This is especially important in dangerous applications where human ... -
A skills acquisition study on ECMOjo: a screen-based simulator for extracorporeal membrane oxygenation
( SAGE Publications Ltd , 2020 , Article)Background: Extracorporeal membrane oxygenation relies heavily on didactic teaching, emphasizing on essential cognitive skills, but overlooking core behavioral skills such as leadership and communication. Therefore, ... -
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
( Elsevier , 2021 , Short Survey)Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of ... -
achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Excessive domestic energy usage is an impediment towards energy efficiency. Developing countries are expected to witness an unprecedented rise in domestic electricity in the forthcoming decades. a large amount of research ... -
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
( Springer Nature , 2022 , Article)In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ... -
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
( Hindawi Limited , 2017 , Article)The last decade has witnessed tremendous efforts to shape the Internet of things (IoT) platforms to be well suited for healthcare applications. These platforms are comprised of a network of wireless sensors to monitor ... -
An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Increasing the number of sensors in a gas identification system generally improves its performance as this will add extra features for analysis. However, this affects the computational complexity, especially if the ... -
An innovative edge-based Internet of Energy solution for promoting energy saving in buildings
( Elsevier , 2022 , Article)Due to the ubiquity and maturity of Artificial Intelligence (AI), it became an essential tool in the development real-time Internet of energy (IoE) solutions. Also, since cloud platforms are not being the first implementation ... -
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals
( John Wiley and Sons Ltd , 2021 , Article)Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. Specifically, there is no need to install ...
