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HW/SW co-design based implementation of Gas discrimination
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
A gas discrimination system is mainly made of two parts, the sensing part and the processing part. As an alternative solution to pure software or hardware implementation of the processing part of a gas identification system, ...
MLP Neural Network Based Gas Classification System on Zynq SoC
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Systems based on wireless gas sensor networks offer a powerful tool to observe and analyze data in complex environments over long monitoring periods. Since the reliability of sensors is very important in those systems, gas ...
Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
(
Elsevier
, 2022 , Article)
Energy efficiency based on behavioral change has attracted increasing interest in recent years, although, solutions in this area lack much needed techno-economic analysis. That is due to the absence of both prospective ...
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 ...
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 ...
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
(
Elsevier
, 2023 , Short Survey)
Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are ...
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 ...
Using thermochromic ink for medical simulations
(
Hamad bin Khalifa University Press (HBKU Press)
, 2017 , Article)
Background: In medical simulation and training, blood is used to exhibit its different behaviors in context. In some cases, blood color differential is an imperative visual effect to ensure high-fidelity training and ...
Deep and transfer learning for building occupancy detection: A review and comparative analysis
(
Elsevier
, 2022 , Short Survey)
The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ...
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 ...