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1001
Cost-Effective Optimization of Sizing and Charging Profiles for PHEV Parking Lots in Smart Microgrids Using Harmony Search Algorithm
Published 2025-01-01Subjects: Get full text
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1002
PREDICTION OF THE POOR RATE K-MEANS AND GENERALIZED REGRESSION NEURAL NETWORK ALGORITHMS (CASE STUDY: NORTH SUMATRA PROVINCE)
Published 2023-04-01“…In this study, poverty levels were mapped using the K-Means algorithm, and GRNN was then utilized for modeling and prediction. …”
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1003
Research on Optimization Method of Coal Blending for Carbon Emission Reduction Based on Bi-level Programming
Published 2023-04-01“…As the “dual carbon” goal has been upgraded to a national strategy, coal-fired power plants are the top priority for carbon reduction in the power generation industry, and coal-fired power plants are facing a huge challenge in limiting carbon emissions. …”
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1004
A Finite Control Set Model Predictive Control Algorithm With Low Complexity for Neutral-Point Clamped Converters With Switching Constraints
Published 2024-07-01“…This paper proposes a Finite Control Set Model Predictive Control algorithm with low complexity for three-phase grid-tied Neutral-Point Clamped converters with switching constraints. …”
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1005
A Hierarchical Control Algorithm for a Pursuit–Evasion Game Based on Fuzzy Actor–Critic Learning and Model Predictive Control
Published 2025-03-01Subjects: Get full text
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1006
A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques
Published 2025-05-01Subjects: Get full text
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1007
Multi-objective Optimal Scheduling of Water-Carbon in Cascade Reservoirs during Impoundment for Carbon Emission Reduction
Published 2025-06-01“…[Methods] Given that current studies on cascade reservoir impoundment scheduling have not yet incorporated carbon reduction objectives, this study proposed a multi-objective water-carbon scheduling model for cascade reservoirs during impoundment period based on the carbon emission factor method.An early storage strategy for cascade reservoirs was developed,and three objectives—minimizing flood control risk,maximizing power generation,and minimizing greenhouse gas emissions—were established.The Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) was employed to derive optimal scheduling schemes for the impoundment period.…”
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1008
A Systematic Model of an Adaptive Teaching, Learning and Assessment Environment Designed Using Genetic Algorithms
Published 2025-04-01Subjects: “…educational assessment…”
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1009
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1010
A machine learning-based prediction of diabetic retinopathy using the Korea national health and nutrition examination survey (2008–2012, 2017–2021)
Published 2025-05-01Subjects: Get full text
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1011
Predictive Technology Assessment by Means of a Structure-Based Method of Machine Learning
Published 2020-11-01“…The starting point is an adaptive algorithm that performs a dynamic tolerance band formation based on different criteria, emphasizing on adaptive characteristic segmentation. …”
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1012
Comparative analysis of machine learning models for predicting river water quality: a case study of the Zayandeh Rood River
Published 2025-09-01Subjects: “…Water quality prediction…”
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1013
Springback Angle Prediction for High-Strength Aluminum Alloy Bending via Multi-Stage Regression
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1014
Diesel Engine Urea Injection Optimization Based on the Crested Porcupine Optimizer and Genetic Algorithm
Published 2025-05-01Subjects: “…Nondominated Sorting Genetic Algorithm II…”
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1015
Screening of glioma susceptibility SNPs and construction of risk models based on machine learning algorithms
Published 2025-06-01Subjects: Get full text
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1016
Beyond personalization: autonomy and agency in intelligent systems education
Published 2025-08-01Subjects: “…algorithmic personalization…”
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1017
Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm
Published 2023-04-01“…With the rapid construction of the 5G wireless communication network, the energy consumption pressure of operators, and even the overall communication industry, is simultaneously highlighted.Achieving sustainable development of the industry through energy conservation and consumption reduction has become a new research direction for the current 5G network development.Taking the PRB rate as the load evaluation index, LSTM model was improved by using DCNN to extract the depth feature of the cell’s indicators.A set of DCNN-LSTM deep learning model that could predict the future value of PRB rate was proposed.On the basis of the improved algorithm, the network topology of the current 5G access network was optimized.An additional network element and its working system were designed.An intelligent energy-saving system, which ensured the network experience, of 5G base stations was realized.…”
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1018
Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci
Published 2025-05-01“…LR and multiple ML algorithms were employed to establish the NIHL prediction model with accuracy, recall, precision, F-score, R2 and AUC as performance indicators. …”
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1019
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1020
Health State Prediction of Lithium-Ion Battery Based on Improved Sparrow Search Algorithm and Support Vector Regression
Published 2024-11-01“…To enhance prediction performance, this paper introduces an SOH prediction model based on an improved sparrow algorithm and support vector regression (ISSA-SVR). …”
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