A method of transfer functions and block diagrams to study the contribution of variables in artificial neural network process models. Proceedings of the World Congress on Engineering and Computer Science, Oct. 19-21, San Francisco, USA.E. G. B. Condorena, A. Carvalho, and A. Basic, "A ...
Vege block is a building or construction block manufactured from the mixture of sand aggregates and waste cooking oil as a sustainable binder. This study explores the use of Artificial Neural Network (ANN) in the prediction of the compressive strength. Nine ANN models were developed with different...
The transfer function of this single block is the sum of the transfer functions of those two blocks. The equivalent block diagram is shown below.Similarly, you can represent parallel connection of ‘n’ blocks with a single block. The transfer function of this single block is the algebraic ...
Key blocks of a communication system, including digital signal processing (DPS) chain. In the last decade, the research in machine learning has exploded and its application has found its way into optimization of communication systems [1,2]. Artificial neural networks (ANNs) are known as ...
conditions set by the peers of the BC network, they are added in the block. Then the block is sealed with its unique hash key and chained with the existing BC creating a ledger when other nodes in the BC network validate its hash14. This process of transaction in BC is shown in Fig....
utilizes TNN and blockchain technologies. In contrast, this paper offers a brand-new framework that uniquely combines the core features and advantages of blockchain technology with artificial intelligence. To increase the number of IoT devices, IoMT systems will be provided with an automated process....
[10], artificial neural network [11], and other information fusion technologies. These methods mainly focus on the spatio-temporal registration of multi-source data in the process of data fusion, which involves converting the multi-source data to a spatio-temporal unified standard time scale ...
2023, Engineering Applications of Artificial Intelligence Citation Excerpt : The crackIT includes the unsupervised crack detection algorithms of Oliveira and Correia (2012) as well as other supervised learning crack detection algorithms in the work of Heijden et al. (2011). Recently, the work in Ab...
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Deep learning-based semantic search (DLSS) aims to bridge the gap between experts and non-experts in search. Experts can create precise queries due to their prior knowledge, while non-experts struggle with specific terms and concepts, making their querie