Search Results - (( data implication sensor algorithm ) OR ( waste reduction method algorithm ))
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Development of novel algorithm features in the modelling of cyclic processes
Published 2002“…The second feature of the algorithm is a reduction of the number of cycles required to reach the CSS while ensuring that the CSS is certainly determined. …”
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Evaluation of a spacecraft attitude and rate estimation algorithm
Published 2010“…Design/methodology/approach: The algorithm requires only geomagnetic field data and can be used as a low‐cost alternative or as a back‐up estimator in the case of attitude sensor failures. …”
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An Ultrasound-Assisted System For The Optimization Of Biodiesel Production From Chicken Fat Oil Using A Genetic Algorithm And Response Surface Methodology
Published 2015“…The time reduction for the ultrasonic method compared to the conventional method makes the ultrasonic method superior.…”
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Smart site monitoring system / Muhammad Azmi and Muhammad Naim Mahyuddin
Published 2023“…These devices collect and transmit data to a centralised cloud-based platform. Advanced data analytics and machine learning algorithms process this data, enabling the system to detect potential safety hazards, monitor construction progress, and predict resource requirements. …”
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The effect of government policy on the relationship between organizational factors and construction waste management in Abuja, Nigeria
Published 2016“…The study suggested that hazardous waste, time and overrun waste should also be considered; while case study or qualitative method could be adopted in future research.…”
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Smart Glove for Sign Language Translation
Published 2023“…The Smart Glove utilizes only one sensor, flex sensors, to capture hand movements and gestures. …”
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Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management
Published 2024“…Particle Swarm Optimization (PSO) has demonstrated its efficacy in addressing the issue of construction waste reduction and enhancing the accuracy of cost estimation through the identification of optimal combinations of variables. …”
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The classification of FTIR plastic bag spectra via label spreading and stacking
Published 2021“…Four pipelines were investigated, consisting of two machine learning algorithms, a stacked model that stacks the KNN, SVM and RF algorithms together, and Label spreading, as well as two different dimensionality reduction methods namely; SVD and UMAP. …”
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Application of Artificial Intelligence In Smart City
Published 2021“…Meanwhile, a smart city is a city concept, which is integrated with several intelligent technologies such as Big Data, sensors, and 5G connectivity. This study aims to study the effects of the implementation of AI in the smart city. …”
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A conceptual anonymity model to ensure privacy for sensitive network data
Published 2021“…Researchers have identified the privacy implications of large data collections and contributed to the preservation of data from unauthorised exposure to solve the challenge of information privacy. …”
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Snort-based smart and swift intrusion detection system
Published 2018“…In this paper, a smart Intrusion Detection System (IDS) has been proposed that detects network attacks in less time after monitoring incoming traffic thus maintaining better performance. Methods/Statistical Analysis: The features are extracted using back-propagation algorithm. …”
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Effective synthesis of biodiesel from Jatropha curcas oil using betaine assisted nanoparticle heterogeneous catalyst from eggshell of Gallus domesticus
Published 2017“…It was observed that the reduction of acidity varied with varying reaction conditions. …”
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Development of gesture-controlled robotic arm for upper limb hemiplegia therapy
Published 2022“…In conclusion, these findings have significant implications for the understanding of hand recognition application towards robotic-based upper limb assistive and rehabilitation procedures.…”
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15
Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…Secondly, four different testing scenarios are chosen to acquire pedestrian walking data using the gyroscope sensor, where the essential features were extracted and selected. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…Secondly, four different testing scenarios are chosen to acquire pedestrian walking data using the gyroscope sensor, where the essential features were extracted and selected. …”
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