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An innovative deep anomaly detection of building energy consumption using energy time-series images
(
Elsevier
, 2023 , Article)
Deep anomaly detection (DAD) is essential in optimizing building energy management. Nonetheless, most existing works concerning this field consider unsupervised learning and involve the analysis of sensor readings through ...
Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection
(
Elsevier
, 2024 , Article)
Zinc oxide (ZnO) nanocomposite sensors decorated with various dopants are popular tools for detecting even low hydrogen (H2) concentrations. The nanocomposite's chemistry, temperature, and H2 concentration impact the success ...
A self-selective correlation ship tracking method for smart ocean systems
(
MDPI AG
, 2019 , Article)
In recent years, with the development of the marine industry, the ship navigation environment has become more complicated. Some artificial intelligence technologies, such as computer vision, can recognize, track and count ...
Synthesis and characterization of cobalt hydroxide carbonate nanostructures
(
Royal Society of Chemistry
, 2017 , Article)
Battery-type electrodes of three-dimensional (3D) hierarchical cobalt hydroxide carbonate arrays on Ni foam were fabricated using a hydrothermal method for use in supercapacitors. X-ray diffraction analysis, scanning ...
Towards NLP-based Semi-automatic Preparation of Content for Language Learning using LingoSnacks m-Learning Platform
(
Institute of information System and Research Center (IISRC)
, 2013 , Article)
Vocabulary growth is an important element for language learning but it requires repeated and varied exposure to the new words and their usage in different context. However preparing suitable learning content for effective ...
Secure and Reliable Resource Allocation and Caching in Aerial-Terrestrial Cloud Networks (ATCNs)
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Aerial-terrestrial cloud networks (ATCNs), global integration of air and ground communication systems, pave a way for a large set of applications such as surveillance, on-demand transmissions, data-acquisition, and navigation. ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
Simulation-optimization framework for synthesis and design of natural gas downstream utilization networks
(
MDPI AG
, 2018 , Article)
Many potential diversification and conversion options are available for utilization of natural gas resources, and several design configurations and technology choices exist for conversion of natural gas to value-added ...
Ni incorporation in MgFe2O4 for improved CO splitting activity during solar fuel production
(
Springer
, 2020 , Article)
Efficacy of the sol–gel derived Ni-doped Mg-ferrites for an enhanced CO2 splitting activity is investigated. The results allied with the characterization indicate the formation of nominally phase pure Ni-doped Mg-ferrites ...
Adversarial samples on android malware detection systems for IoT systems
(
MDPI AG
, 2019 , Article)
Many IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has ...