Hakutulokset - probabilistic parameter optimization*

The Ice, Cloud, and land Elevation Satellite-2 has provided unprecedented global surface elevation measurements through photon-counting Lidar (Light detection and ranging), yet its low signal-to-noise ratio (SNR) poses significant challenges for denoising algorithms. Existing methods, relying on fix...

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Introduction. When managing traffic at the packet level in modern telecommunication networks, it is proposed to use methods that transform a self-similar stochastic packet flow into a quasi-deterministic one. To do this, it is required to apply complex probabilistic laws of distribution of self-simi...

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An approach to probabilistic assessment of field development forecast parameters for gas-condensate reservoir using multi­variant simulation was studied. The necessity of such decision may be explained by the aim to level the influence of large number of uncertainties which occur during the work wit...

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The primary objective of this study is to develop and assess computational methods for optimizing the geometry of specific building structures modeled through parametric description. The focus is on steel bar structures, including trusses and beams, subjected to varying load conditions with fixed an...

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Membrane filtration, including reverse osmosis filtration, is widely applied in water treatment worldwide, offering solutions to a broad range of separation challenges. However, due to the porous structure of membranes, they are prone to fouling, which reduces their efficiency and can eventually ren...

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Nowadays, non-linear loads are being used in distribution systems increasingly. Despite the good features such as low initial construction cost, high efficiency, and controllability, these loads cause harmonic distortions. In previous studies, passive harmonic filters have been proposed to decrease...

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This paper presents an innovative islanding detection method (IDM) that combines interval type-2 fuzzy logic with the Sandia frequency shift (SFS) technique for enhanced microgrid protection. The study examines a hybrid microgrid incorporating photovoltaic and wind farm distributed generation source...

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Given problem optimization calculation of structures considering seismic hazard. Optimization conditions are presented based on probabilistic and economic criteria. For buildings with possible non-economic effects of a restriction on probability of failure, the amount of which is determined on the b...

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ObjectiveThis research aims to develop a comprehensive environmental health risk prediction system for elderly populations in cold regions based on a Bayesian probability framework. The system is designed to quantitatively evaluate the effects of different outdoor environmental exposures on physiolo...

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Features of the structure of trabecular structures for the manufacture of implants of hip and knee joints and rheological models that can be used as a basis for analyzing the dynamics of biomechanical systems "bone-articulated implant" are considered. It is taken into account that the impl...

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Machine learning (ML) is transforming computational chemistry by accelerating molecular simulations, property prediction, and inverse design. Central to this transformation is mathematical optimization, which underpins nearly every stage of model development, from training neural networks and tuning...

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Brain tumor classification poses significant challenges in medical imaging, largely due to the heterogeneity and structural complexity of tumors. With Magnetic Resonance Imaging (MRI) serving as a cornerstone for diagnosis, manual interpretation by radiologists is time-consuming and prone to inter-o...

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High-moisture extrusion (HME) is a promising technique for developing fibrous plant-based meat analogues. In HME, protein-water formulations are passed through a heated twin-screw barrel before solidifying in a cooling die, where complex physicochemical transformations occur, making process optimiza...

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The paper describes the application of the optimization method of fuzzy automatic classification in the problem of combining estimates of trajectory measurements in a radar system. By a radiolocation system the author mean an automated hierarchical technical complex that combines, using communicatio...

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Within the project of developing an automatic feed wagon, the initial task is to determine its overall parameters, which directly depend on the wagon volume. (Research purpose) To simulate the automatic feed wagon operation in order to determine the optimal volume ensuring the versatility of its use...

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The advent of novel waste disposal methodologies, which are energy-efficient and environmentally benign, has created opportunities for the deployment of artificial intelligence technologies in the management of solid waste treatment. This review examines the deployment of AI-optimized control algori...

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This research presents an optimized physiological monitoring system for COVID-19 patients, integrating Visible Light Communication (VLC)-based three-dimensional localization with Markov Chain Analysis. The proposed system enables real-time tracking of vital physiological indicators while balancing l...

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Compressive membrane action can considerably improve the load bearing capacity of concrete slabs and beams in case of excessive loaded due to an accidental event. Currently, only limited research has been focusing on compressive membrane action in prestressed concrete elements, or on concrete elemen...

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Conditional Handover (CHO), introduced in the 16th edition of the 3GPP standard, serves as an alternative to Baseline Handover (BHO). CHO aims to mitigate radio link failures (RLFs) during handover preparation by incorporating a dedicated base station (BS) reservation phase. While BS reservation eff...

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The meteorological situation is one of the decisive factors determining the safety and frequency of civil aviation flights. Weather hazards (WH), associated with cumulonimbus clouds, such as a heavy shower, thunderstorm, hail, combined with high atmosphere turbulence, quite often lead to aviation ev...

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