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ON THE CHOICE OF THE OPTIMAL POINTS OF OPENING IN CITY POWER GRIDS IN THE CONDITIONS OF THE SMART GRID
Published 2018-05-01“…One of the main tasks being solved for all electric networks with open topology, including city electric networks, viz. a task of the choice of optimum points of disconnection, has been improved. …”
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1702
A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models
Published 2025-07-01“…We analyze these adaptations in terms of their methodological adjustments, impact on algorithmic bias and ability to maintain predictive performance comparable to the original models.…”
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1703
Adaptive backstepping control for electro-hydraulic servo system in extension sleeve press-fitting process of bearing pressing machine
Published 2025-01-01“…People have proposed various related control algorithms. However, external disturbances and unmodeled dynamic factors are often inevitable in practical work and may produce significant influences on the performance of the control system. …”
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1704
Prediction of Provincial Energy Consumption Intensity and Estimation of Carbon Emission Reduction Potential Based on PSO-GWO
Published 2023-09-01“…An energy intensity learning curve was constructed, which contains such three factors as economy, technology input and scale effect, and the grey wolf algorithm was used to improve the particle swarm optimization algorithm to optimize the fitting curves. …”
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1705
Quantum Attacks on HCTR and Its Variants
Published 2020-01-01Get full text
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1706
Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment
Published 2025-01-01“…It employed Prairie Dog Optimization Algorithm (PDOA) for exploring the possibility that helps in mapping the IoT services to the available computing services in fog computing scenario. …”
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1707
Discrete Dynamic Modeling Analysis of Engineering Management and Quality Optimization Innovation Mode Based on Big Data Intelligent Algorithm
Published 2022-01-01“…Based on the above situation, this paper puts forward the research on discrete dynamic modeling of engineering management and optimization innovation mode based on big data intelligent algorithm. It mainly uses big data technology to collect and classify the obtained data information and uses discrete dynamic modeling technology to optimize the management system, focus on the management and innovation of green engineering, use big data dynamic modeling technology to build engineering management model, and improve the balance of project model through intelligent planning algorithm. …”
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1708
Wireless Sensor Network Cluster Head Selection and Short Routing Using Energy Efficient ElectroStatic Discharge Algorithm
Published 2022-01-01“…Cluster head selection plays a crucial stage in a WSN architecture which mainly focuses on the minimization of network energy consumption. …”
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1709
Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm
Published 2021-09-01“…For this reason, an optimal site selection model is built for the ISDIC by combining the conventional substation site selection schemes and the specific center requirements, which mainly considers such three factors as information delay, resident influence and load distribution. …”
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1710
Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering.
Published 2025-01-01“…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. The data selected is mainly from RESSET/DB, covering the issuance, trading, and rating data of fixed-income products such as bonds, government bonds, and corporate bonds, and provides basic information, net value, position, and performance data of funds. …”
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1711
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A surrogate-assisted differential evolution algorithm with a dual-space-driven selection strategy for expensive optimization problems
Published 2025-04-01“…Abstract Surrogate-assisted evolutionary algorithms (SAEAs) have shown great potential to solve computationally expensive optimization problems (EOPs). …”
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1713
Leader selection based Multi-Objective Flow Direction Algorithm (MOFDA): A novel approach for engineering design problems
Published 2025-03-01“…Addressing complex real-world issues with conflicting objectives is a significant challenge in optimization. Practical algorithms must balance these objectives, mainly when decision-maker preferences are unclear. …”
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1714
Hyperspectral estimation of soil organic carbon content in the west lakeside oasis of Bosten Lake based on successive projection algorithm
Published 2021-10-01“…After the bands were preprocessed by Savitzky-Golay-standard normal variate-first derivative (SG-SNV-1st Der), the number of bands that passed the extremely significant test (P<0.01) were 414, mainly concentrated in 487-575, 725-998 and 1 464-1 514 nm. …”
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1715
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Reliability analysis and pre-sizing of a switched-inductor-capacitor-based quadratic boost converter using genetic algorithm
Published 2025-09-01“…To achieve the optimum switching frequency of the topology, a Genetic Algorithm (GA) is employed. To highlight the superiority of the proposed topology, it is compared with a switched inductor-based converter, and the results are presented. …”
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PO77 | The clinical awareness of mixing test interpretation in the era of complex reporting algorithm: do we forget the origins?
Published 2025-08-01“… Background and Aims: Plasma mixing test is a simple laboratory procedure, which is performed on samples from patients with coagulation screening tests prolonged (mainly the activated partial thromboplastin (APTT), but also the prothrombin time (PT) or both). …”
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1719
Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation
Published 2025-01-01“…ObjectiveThis study aimed to develop and evaluate an algorithm that uses large language models (LLMs) to extract information from Japanese lung cancer radiology reports and perform clustering analysis. …”
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1720
Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction
Published 2023-12-01“…Clinical data analysis must predict cardiovascular disease. Machine learning (ML) may aid decision making and prediction using the healthcare field’s massive data set. …”
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