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921
Transactional configuration of innovative development of business ecosystem
Published 2024-12-01“…As a result, the authors have developed an algorithm that aims to create a pool of stakeholders in the business ecosystem in order to achieve sustainable development within the innovative economy through optimized transaction costs. …”
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922
Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability
Published 2025-07-01“…By using Stochastic Forest, an improvement in decision accuracy can be attained to the extent of 15–20%, together with a cut in costs of about 10%. …”
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923
Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanced Boiler Combustion Control Model
Published 2025-02-01“…Consequently, achieving stable combustion control of these gases is critical for improving boiler efficiency. This study developed the advanced boiler combustion control model (ABCCM) by combining the random forest (RF) and classification and regression tree (CART) algorithms to optimize the combustion of steam power boilers using steel by-product gases. …”
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924
Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals
Published 2024-01-01“…The gender-specific DGA-EBPSO algorithm incorporates a hybrid mutation strategy to improve feature selection efficiency and considers gender-based variations in emotional expression. …”
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925
Numerical Modeling on the Damage Behavior of Concrete Subjected to Abrasive Waterjet Cutting
Published 2025-06-01“…These configurations aim to enhance the efficiency and sustainability of excavation and tunneling processes through improved material removal performance and reduced mechanical wear.…”
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926
An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments
Published 2025-08-01“…Furthermore, the FOFSDL-SCD model utilizes the Fox optimizer algorithm (FOA) method for the feature selection process to select the most significant features from the dataset. …”
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927
Parametric Optimization of Train Brake Pad Using Reverse Engineering with Digital Photogrammetry 3D Modeling Method
Published 2025-05-01“…This was followed by processing 2D images using Agisoft Metashape 2.2.1 software and Artificial Intelligence (AI) algorithms to create a precise 3D model. Subsequently, assessment was performed using feasibility in terms of cost, time, and accuracy. …”
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928
Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks
Published 2025-07-01“…Results demonstrate significant improvements in system reliability, cost efficiency, and flexible operation, validating the effectiveness of ANN-based AL to optimize EHs management and ensure sustainable operation complexities. …”
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929
Modified invasive weed optimization MPPT approach for PV system interfaced with BLDC motor for water pumping system
Published 2025-06-01“…Therefore, the modified invasive weed optimization (MIWO) approach integrated with P&O approach to improve performance under PSC. …”
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930
Enhancing microgrid forecasting accuracy with a TCNN-TLS framework: A novel approach to mitigating uncertainty in renewable energy and load predictions
Published 2025-09-01“…The employed settings contain a temporal convolutional neural network (TCNN) optimized with a pelican optimization algorithm (POA) to enhance its hyper-parameter selection. …”
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931
Peak Arm Current Reduction of Modular Multilevel Converter Based on Particle Swarm Optimizer for Circulating Current Injections
Published 2025-01-01“…This paper uses a particle swarm optimisation (PSO) algorithm to determine the optimal values for the injected components. …”
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932
A Wi-Fi Indoor Localization Strategy Using Particle Swarm Optimization Based Artificial Neural Networks
Published 2016-03-01“…We implement the proposed system on a mobile phone and the positioning results show that our algorithm can provide a higher localization accuracy and significantly improves the prediction speed.…”
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933
Modular Coordination of Vehicle Routing and Bin Packing Problems in Last Mile Logistics
Published 2025-05-01“…<i>Background</i>: Logistics and transport, core of many business processes, are continuously optimized to improve efficiency and market competitiveness. …”
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934
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935
Multi-objective optimization of EMS facilities using multi-source data: A case study in Dangtu, China
Published 2025-08-01“…This framework uses corroborative multi-source data to analyze current EMS facilities and suggests improvements through preservation, expansion, and new facility introduction, carefully considering construction costs, resident usage efficiency, and access equity. …”
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936
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937
Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling
Published 2025-07-01“…High-frequency modal components undergo secondary decomposition using variational mode decomposition (VMD) to extract the optimal intrinsic mode function. Finally, an improved symbiotic biological search algorithm combined with a Bidirectional Gated Recurrent Unit (BiGRU) is used to accurately predict dam deformation.…”
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938
Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks
Published 2017-12-01“…In duty-cycled wireless sensor networks, energy efficiency and packet latency are two most important metrics in the design of medium access control and routing algorithms. …”
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939
An Optimal Sizing Methodology for a Wind/PV Hybrid Energy Production System for Agricultural Irrigation in Skikda, Algeria
Published 2025-06-01“…The optimization algorithm used was tailored to the formulated problem, ensuring reliable and applicable results. …”
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940
A Study on an Anti-Multiple Periodic Frequency Modulation (PFM) Interference Algorithm in Single-Antenna Low-Earth-Orbit Signal-of-Opportunity Positioning Systems
Published 2025-04-01“…This paper proposes a Signal Adaptive Iterative Optimization Resampling (SAIOR) algorithm, which leverages the periodicity of PFM jamming signals and the characteristics of LEO constellation signals. …”
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