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Morphometric criteria for evaluating individual territorial units in solving the problem of spatial development of linear objects of terrestrial transport infrastructure
Published 2025-06-01“…Such a discrete polygon model is actually a weighted graph, in which the search for a path is carried out by various search algorithms: A*, Dijkstra, Breadth-first search. Since the assessment of a particular territorial unit based on the morphometric properties of an area depends on its size, it is proposed to evaluate the polygon in two stages with different resolutions of discrete space, i.e. enlarging individual territorial units into blocks. …”
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A systematic improvement of the high-quality temperature field reconstruction for acoustic pyrometry
Published 2025-08-01“…We used multiple means of improvement to improve the reconstruction performance of AP in a gradual and systematic manner. The fast finite-difference shooting method, the adaptive grid evolution strategy (AGES) and the radial basis function approximation with polynomial reproduction (RBFPR) were proposed and integrated into the sequential process optimization approach we concluded to systematically improve the reconstruction performance over the initial algorithm. …”
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Inertial measurement unit technology for gait detection: a comprehensive evaluation of gait traits in two Italian horse breeds
Published 2024-10-01“…Three different algorithms were employed to predict the judges score from the IMU measurements: Support Vector Machine (SVM), Gradient Boosting Machine (GBM), and K-Nearest Neighbors (KNN). …”
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The value of multi-phase CT based intratumor and peritumoral radiomics models for evaluating capsular characteristics of parotid pleomorphic adenoma
Published 2025-04-01“…Quantitative radiomics features of the intratumoral and peritumoral regions of 2 mm and 5 mm on CT images were extracted, and radiomics models of Tumor, External2, External5, Tumor+ External2, and Tumor+External5 were constructed and used to train six different machine learning algorithms. Meanwhile, the prediction performances of different radiomics models (Tumor, External2, External5, Tumor+External2, Tumor+External5) based on single phase (plain, arterial, and venous phase) and multiphase (three-phase combination) were compared. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones...
Published 2025-08-01“…For the foreseeable future, using affordable imaging offers tremendous potential in place of conventional field methods. To evaluate the contamination level, a basic standard reference i.e., World Health Organization guidelines is implanted to decipher the values ranging from natural to anthropogenic contribution.In the Mahanadi River Basin, Odisha, however, this study has highlighted the evaluation of surface water quality (WQ) for drinking reasons by the combined use of Machine Learning (ML) methodologies like Genetic Algorithm Particle Swarm Optimization-based WQI (GAPSO-WQI), with dependability-oriented decision-making approaches such as Firefly Algorithm (FA) and Algorithm of Weeds (AW), that have been used for river water quality monitoring and assessment due to their dependability and feasibility. …”
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Quantum coherence and counterdiabatic quantum computing
Published 2025-01-01“…We show that large quantum coherence also means large energy fluctuation during evolution, which is associated with the speed of evolution, paving the way for designing superior algorithms in CQC.…”
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Investigating performance of a multi-subcarrier free space optic using log-normal channel model
Published 2025-02-01“…The paper builds a computational model of a multi-subcarrier free space optic, a variant of the Subcarrier Intensity Modulation Free Space Optic (SIM-FSO), establishes algorithmic flowcharts, writes a computational program to investigate the system performance under various modulation methods, air turbulence levels and different numbers of subcarriers and data rates. …”
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Health economics evaluation of diagnostic strategies for gastro-oesophageal reflux disease with reflux symptoms in China: a modelling study
Published 2025-05-01“…Objectives American College of Gastroenterology (ACG) and Chinese expert consensus recommended different algorithmic approaches for the diagnosis of gastro-oesophageal reflux disease (GERD) are not yet defined. …”
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Software defined data center network with hybrid routing
Published 2016-04-01“…SHR differentiate data flows by statistical calculat nt flows utilize the adap-tive routing algorithm while the mice flows use the oblivious routing algorithm. …”
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A novel metaheuristic approach for simultaneous loss minimization and torque ripple reduction of DTC- IM driven EV
Published 2025-06-01“…The proposed dynamic reference flux selection algorithm is evaluated numerically and compared using standard drive cycles, and the amount of energy a vehicle uses during different drive cycles is compared. …”
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Many-Objective Truss Structural Optimization Considering Dynamic and Stability Behaviors
Published 2025-01-01“…The methodology involves the finite element method (FEM) to obtain the objective functions and constraints and multi-objective evolutionary algorithms (MOEAs) based on differential evolution to solve the MOSOPs analyzed in this study. …”
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The Equal-Time Waypoint Method: A Multi-AUV Path Planning Approach That Is Based on Velocity Variation
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Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method
Published 2019-06-01“…In the fault identification of rolling bearing, the traditional ISOMAP algorithm is met with the problem of large deviation of geodesic distance and aliasing in fault identification. …”
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Spiking Cooperative Network Implemented on FPGA for Real-Time Event-Based Stereo System
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A Decision Model for the Order Sequence and Delivery Date Problem in Companies Manufacturing According to the Order
Published 2021-12-01“…However, this decision can turn into a rather complicated problem due to different criteria that need to be evaluated. In this study, an integrated decision model has been proposed for companies that make production on order, to establish a balance between the profitability of the company and the satisfaction of customers, and to choose among indivisible orders within a limited time based on the maximum benefit according to this established balance. …”
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Transport Capacity Maximization in Rail Mass Transit Stations Under Uncertainty
Published 2025-01-01“…At the upper level, a genetic algorithm determines the optimal sequence of train services and platform assignments. …”
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