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521
An algorithm to generate correlated input-parameters to be used in probabilistic sensitivity analyses
Published 2021-01-01“…The algorithm was implemented in an HZ CEA model and evaluated for gamma and beta distributions. …”
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522
Received value flipping based sphere decoding algorithm for polar codes
Published 2024-12-01“…In addition, we also compare the performance of different flipping sets and evaluate the influence of the associated flipping set sizes. …”
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523
Research on the Application of Deep Learning Algorithm in the Damage Detection of Steel Structures
Published 2025-01-01Get full text
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524
Masterpiece Optimization Algorithm: A New Method for Solving Engineering Problems
Published 2025-01-01“…Now, to handle this content, in the first iteration of the proposed algorithm, different points in the answer zone are introduced for the MPF. …”
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525
NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm
Published 2020-01-01“…In addition, we introduce a novel agent-based allocating mechanism based on the auction process, including the design for three kinds of agents and the cooperation mechanism among different agents. Moreover, we proposed a new algorithm to calculate the bidding values of UAVs, by which the messages passed between UAVs can be reduced. …”
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526
Power inspection UAV task assignment matrix reversal genetic algorithm
Published 2024-01-01“…The performance of TMGA is evaluated through simulation experiments in three different scenarios, comparing it with existing algorithms. …”
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527
Optimization Algorithms for Cable Fault Localization and Assessment in Smart Power Systems
Published 2025-01-01“…In view of the above problems, this paper proposes an optimization algorithm based on the frequency domain-space domain integral transform to enhance the cable fault location capability and assess the fault type and severity. …”
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528
Systematic Review of Phase Aberration Correction Algorithms for Transcranial Focused Ultrasound
Published 2025-02-01“…Our review identified key benchmarks for evaluating the effectiveness of these algorithms, each of which was used in at least three studies. …”
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529
Assessment of Soil Thermal Conductivity Based on BPNN Optimized by Genetic Algorithm
Published 2020-01-01“…In this paper, 40 samples are taken from 37 experimental points in Changchun, China, and the BPNN optimized by genetic algorithm (GA-BPNN) is used to evaluate the thermal conductivity by moisture content, porosity, and natural density of undisturbed soil. …”
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530
Comparative Analysis of Supervised Classification Algorithms for Residential Water End Uses
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531
Tackling Blind Spot Challenges in Metaheuristics Algorithms Through Exploration and Exploitation
Published 2025-05-01“…Such regions can mislead the search process, trap metaheuristic algorithms (MAs) in local optima, or hide global optima in isolated regions, making effective exploration particularly challenging. …”
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532
Interference Suppression for VLC System Based on Optimized Channel Detection Algorithm
Published 2025-01-01“…The Bit Error Rate (BER) of the optimized algorithm is systematically evaluated under different interference environments, the number of users and transceiver configurations. …”
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533
Automatic Morpheme Segmentation for Russian: Can an Algorithm Re-place Experts?
Published 2024-12-01“…Due to the differences in task formulation and datasets utilized, comparing the quality of these algorithms is challenging. …”
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534
Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance
Published 2025-04-01“…Five performance metrics—average energy consumption, total energy consumption, total residual energy, dead node and cluster head frequency are taken into consideration when evaluating the performances against state-of-the-art algorithms. …”
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535
Comparing variable neighbourhood search algorithms for the direct aperture optimisation in radiotherapy
Published 2025-08-01“…The VND algorithm is a deterministic variant of VNS that systematically explores different neighbourhood structures. …”
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536
Fruit size prediction of tomato cultivars using machine learning algorithms
Published 2025-01-01“…For constructing the models, the fruit weight estimated from the fruit diameter obtained over time for each cumulative temperature after anthesis was used as explanatory variable and the fruit weight at harvest was used as objective variable. Datasets for two different prediction periods after anthesis of three tomato cultivars (“CF Momotaro York,” “Zayda,” and “Adventure.”) were used to develop tomato size prediction models, and their performance was evaluated. …”
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537
Development and validation of multimodal deep learning algorithms for detecting pulmonary hypertension
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538
Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics
Published 2024-11-01“…The robustness of the SCIR model was further demonstrated in the fairness evaluation metrics, which included demographic parity, equal opportunity difference (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.037</mn></mrow></semantics></math></inline-formula>), equalised odds difference (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.026</mn></mrow></semantics></math></inline-formula>), disparate impact (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.081</mn></mrow></semantics></math></inline-formula>), and Theil Index (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.249</mn></mrow></semantics></math></inline-formula>). …”
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539
A Labor Division Artificial Gorilla Troops Algorithm for Engineering Optimization
Published 2025-02-01“…However, the conventional GTO algorithm has a critical limitation: all individuals, regardless of their roles, utilize identical search equations and perform exploration and exploitation sequentially. …”
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540
A Vessel Positioning Algorithm Based on Satellite Automatic Identification System
Published 2017-01-01“…In the proposed method, the positioning model is a modification on the basis of time difference and frequency difference of arrival measurements by introducing an additional measurement, and the measurement is obtained through the interactive multiple model algorithm. …”
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