Power consumption is one of the most important challenges discussed within the wireless sensor systems research community. Despite that, accurate measurements of power consumption require an accurate, low-cost and low...
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Land cover change detection with hyperspectral remote sensing images (HyperCD), which focuses on monitoring land cover change on the Earth's surface, has attracted increasing attention due to its advantages and wi...
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In this paper, the target is to reduce the energy consumption in the body sensor network as well as maximize the system lifetime of sensor nodes when they will make communication among body sensors and personal commun...
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Recent offshore oil and gas loading facilities developed in the Arctic area have led to a considerable awareness of the iceberg draft approximation, where deep keel icebergs may gouge the ocean floor, and these submar...
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Recent offshore oil and gas loading facilities developed in the Arctic area have led to a considerable awareness of the iceberg draft approximation, where deep keel icebergs may gouge the ocean floor, and these submarine infrastructures would be damaged in the shallower waters. Developing reliable solutions to estimate the iceberg draft requires a profound understanding of the problem’s dominant parameters. As such, the dimensionless groups of the parameters affecting the iceberg draft estimation were determined for the first time in the present study. Using the dimensionless groups recognized and the linear regression(LR) analysis, nine LR models(i.e., LR 1 to LR 9) were developed and then validated using a comprehensive dataset, which has been constructed in this study. A sensitivity analysis distinguished the premium LR models and important dimensionless groups. The best LR model, as a function of all dimensionless parameters, was able to estimate the iceberg draft with the highest level of precision and correlation along with the lowest degree of complexity. The ratio of iceberg length to iceberg height as the “iceberg length ratio” and the ratio of iceberg width to iceberg height as the “iceberg width ratio” was detected as the important dimensionless groups in the estimation of the iceberg draft. An uncertainty analysis demonstrated that the best LR model was biased towards underestimating the iceberg drafts. The premium LR model outperformed the previous empirical ***, a set of LR-based relationships were derived for estimating the iceberg drafts for practical engineering applications, e.g., the early stages of the iceberg management projects.
The increased quality and human-likeness of AI generated texts has resulted in a rising demand for neural text detectors, i.e. software that is able to detect whether a text was written by a human or generated by an A...
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Introduction: Falls among community-dwelling older adults are a common yet often preventable occurrence. Clinicians frequently use task-based assessment tools to evaluate clients' balance and mobility with the aim...
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This paper discusses a visual method of measuring the geometric parameters of elements produced by electrodynamic stamping. This paper presents also electrodynamic method which is an unconventional machining technolog...
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In this paper we describe the application of a learning classifier system (LCS) variant known as the eXtended classifier system (XCS) to evolve a set of ‘control rules’ for a number of Boolean network instances. We ...
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This paper presents a scalable asynchronous distributed control network. The control circuit allows for true asynchronous operation of all digital resources and as a result of its scalable distributed topology allows ...
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Non-opioid intravenous anesthetic agents, such as propofol, have been used in anesthesia since 1970's for conscious sedation. In this paper, the study aims to regulate the syringe pump of propofol infusion during ...
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