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Predicting Plasma Vitamin C Using Machine Learning
Published 2022“…Variables were selected based on a known or hypothesized relationship with plasma vitamin C, and variables that are expensive or difficult to obtain were excluded in order to more closely replicate the situation of a real health application. …”
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
Published 2022“…Furthermore, this paper demonstrates the advantages of the developed ADL algorithm approach and DSM prediction of the DT using vector autoregressive model for anomaly detection in utility gas turbines with data from an operational power plant.…”
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An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
Published 2022“…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …”
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Practical Considerations in Frequency Diverse Array Radar Signal Processing
Published 2021Get full text
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Fuzzy simulated evolution for power and performance optimization ofVLSI placement
Published 2001“…The proposed heuristics is compared with genetic algorithm (GA) and the proposed fuzzy operator is compared with fuzzy ordered weighted averaging operator (OWA). …”
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Conceptualisation study for using RFID as a stand-alone vehicle positioning system
Published 2009“…A positioning system using a Kalman filter is proposed in order to estimate the vehicle position. The inputs of the proposed algorithm are the fixed distance between two consecutive tags and the erroneous measurements of the backscattered signal power propagated from nearby RFID tags. …”
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Recovery of business intelligence systems
Published 2018“…Reducing the execution time of recovery is the key target of our algorithm. The proposed algorithm outperforms the existing algorithm. …”
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An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
Published 2017“…In addition, the paper exploits the joint sparsity of multichannel EEG using subspace pursuit (SP) algorithm as well as a designed sparsifying basis in order to improve the reconstruction quality. …”
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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
Published 2018“…In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. Our objective in this work is to propose machine learning models that can benefit from the historical data available in banking environment in order to improve and automate their business processes. …”
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Downlink channel estimation for IMT-DS
Published 2001“…For slow fading channels, like a pedestrian channel, zero order interpolation provides satisfactory performance. …”
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Vehicular-OBUs-As-On-Demand-Fogs
Published 2020“…Our proposed scheme embeds (1) a Kubeadm based approach for clustering OBUs and enabling on-demand micro-services deployment with the least costs and time using Docker containerization technology, (2) a hybrid multi-layered networking architecture to maintain reachability between the requesting user and available vehicular fog cluster, and (3) a vehicular multi-objective container placement model for producing efficient vehicles selection and services distribution. An Evolutionary Memetic Algorithm is elaborated to solve our vehicular container placement problem. …”
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Benchmark on a large cohort for sleep-wake classification with machine learning techniques
Published 2019“…We propose the adoption of this publicly available large dataset, which is at least one order of magnitude larger than any other dataset, to systematically compare existing methods for the detection of sleep-wake stages, thus fostering the creation of new algorithms. …”
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Analysis of Multi-User-Based UAV System With Outdated CSI
Published 2024“…To reduce the complexity and retain the MIMO gains, the transmit antenna selection (TAS) strategy is used to select the best antenna at the source and UAV nodes. …”
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