Differentiating digital twin from digital shadow: Elucidating a paradigm shift to expedite a smart, sustainable built environment
SME Sepasgozar - Buildings, 2021 - mdpi.com
Construction projects and cities account for over 50% of carbon emissions and energy
consumption. Industry 4.0 and digital transformation may increase productivity and reduce …
consumption. Industry 4.0 and digital transformation may increase productivity and reduce …
Stroke risk prediction with machine learning techniques
A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …
blood supply, the brain cells gradually die, and disability occurs depending on the area of …
Exploring the fusion potentials of data visualization and data analytics in the process of mining digitalization
Mining digitalisation have been receiving significant attention due to the utilisation of
advanced technologies, such as IoT, automation, and sensing. However, maximising the …
advanced technologies, such as IoT, automation, and sensing. However, maximising the …
[HTML][HTML] Two-step data clustering for improved intrusion detection system using CICIoT2023 dataset
HQ Gheni, WL Al-Yaseen - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
The issue of network security is an important and delicate issue when it comes to the privacy
of organizations and individuals, especially when important and sensitive information is …
of organizations and individuals, especially when important and sensitive information is …
Predictive analysis of municipal solid waste generation using an optimized neural network model
Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an …
implementing sustainable development. The research proposed the application of an …
Artificial intelligence for structural glass engineering applications—overview, case studies and future potentials
Abstract'Big data'and the use of'Artificial Intelligence'(AI) is currently advancing due to the
increasing and even cheaper data collection and processing capabilities. Social and …
increasing and even cheaper data collection and processing capabilities. Social and …
Edla-efds: A novel ensemble deep learning approach for electrical fault detection systems
Early detection of electrical faults is a very essential research area due to its positive
influence on network stability and customer satisfaction. Despite of the electrical fault …
influence on network stability and customer satisfaction. Despite of the electrical fault …
[HTML][HTML] Outlier Detection in Streaming Data for Telecommunications and Industrial Applications: A Survey
Streaming data are present all around us. From traditional radio systems streaming audio to
today's connected end-user devices constantly sending information or accessing services …
today's connected end-user devices constantly sending information or accessing services …
Mind the move: Developing a brain-computer interface game with left-right motor imagery
Brain-computer interfaces (BCIs) are becoming an increasingly popular technology, used in
a variety of fields such as medical, gaming, and lifestyle. This paper describes a 3D non …
a variety of fields such as medical, gaming, and lifestyle. This paper describes a 3D non …
Multilayer perceptron neural network with arithmetic optimization algorithm-based feature selection for cardiovascular disease prediction
FA Alghamdi, H Almanaseer, G Jaradat… - Machine Learning and …, 2024 - mdpi.com
In the healthcare field, diagnosing disease is the most concerning issue. Various diseases
including cardiovascular diseases (CVDs) significantly influence illness or death. On the …
including cardiovascular diseases (CVDs) significantly influence illness or death. On the …