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4581
Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning
Published 2025-01-01Subjects: Get full text
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4582
Biocatalytic conversion of microalgal biomass to biodiesel: optimization of growth conditions and synthesis of CaO bionanocatalyst from Monoraphidium sp....
Published 2025-02-01“…NCIM 5585 and utilize it for biodiesel production, contributing to the development of biocatalysis-based biofuels. Independent optimization studies were conducted to investigate critical growth parameters, viz., light intensity, photoperiod, and NaNO3 concentration. …”
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4583
A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization
Published 2025-01-01Subjects: Get full text
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4584
Optimization and action mechanism of pollutant removal performance of unsaturated vertical flow constructed wetland (UVFCW) driven by substained-release carbon source
Published 2025-01-01“…In order to address this problem, this study optimized the pollutants removal performance of unsaturated vertical flow constructed wetland (UVFCW) by adding sustained-release carbon sources (corn cobs + polybutylene adipate terephthalate (PBAT)). …”
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4585
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4586
Production of Biodiesel from High Acid Value Waste Cooking Oil Using an Optimized Lipase Enzyme/Acid-Catalyzed Hybrid Process
Published 2009-01-01“…Microwave irradiation was found to increase the initial reaction rates by further 1.6 times, hence giving a combined increase in activity of about 5.4 times. The optimized enzyme was used for hydrolysis and 88% of the oil taken initially was hydrolyzed by the lipase. …”
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4587
Personalized optimization of systematic prostate biopsy core number based on mpMRI radiomics features: a large-sample retrospective analysis
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4588
Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids
Published 2015-01-01“…In this paper, a novel discrete particle swarm optimization (DPSO) algorithm based on the particle’s best position (pbDPSO) and global best position (gbDPSO) is adopted to find the global optimal solution for higher dimensions. …”
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4589
Optimal On-Load Tap Changer Tap Control Method for Voltage Compliance Rate Improvement in Distribution Systems, Based on Field Measurement Data
Published 2025-01-01“…This paper proposes an optimal control method for the on-load tap changer (OLTC) of a substation’s main transformer (M.TR), to maximize the voltage compliance rate (VCR) in distribution system feeders. …”
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4590
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4591
A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances
Published 2020-01-01“…A well-trained decision network can provide effective solutions in real time after random disturbances occur, in order to optimize the net traction energy consumption of trains in metro systems. …”
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4592
Green Logistics Location-Routing Optimization Solution Based on Improved GA A1gorithm considering Low-Carbon and Environmental Protection
Published 2021-01-01“…This paper proposes a green logistics location-routing optimization problem based on improved genetic algorithm (GA) from the perspective of low-carbon and environmental protection. …”
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4593
Biosynthesized ZnO NPs loaded-electrospun PVA/sodium alginate/glycine nanofibers: synthesis, spinning optimization and antimicrobial activity evaluation
Published 2025-01-01“…Electrospinning of PVA/SA with optimized mixing ratios was further carried out with different ratios of ZnO NPs of (0.25, 0.50 and 0.75%, wt.…”
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4594
Optimal dose and type of exercise improve walking velocity in adults with Parkinson’s disease: a systematic review and Bayesian network meta-analysis
Published 2025-01-01“…Aerobic Exercise (AE) demonstrated the greatest improvement at an optimal dose of 1,400 METs-min/week (SMD:1.215, 95% Crl: 0.113 to 2.306). …”
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4595
Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling
Published 2015-01-01“…This study aims to construct a typhoon precipitation forecast model providing forecasts one to six hours in advance using optimal model parameters and structures retrieved from a combination of the adaptive network-based fuzzy inference system (ANFIS) and artificial intelligence. …”
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4596
Analisis Kinerja Algoritma CART dan Naive Bayes Berbasis Particle Swarm Optimization (PSO) untuk Klasifikasi Kelayakan Kredit Koperasi
Published 2021-02-01“…The purpose of this study is to get the best method to classify the credit properness using Rapidminer by compare the calculation of CART, Naive Bayes and the optimization of CART+PSO and Naive Bayes+PSO. The study using 113 data member of credit union. …”
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4597
Predictive modeling and optimization of tubular distiller operation using response surface methodology under silver nanomaterial infused PCM thickness variations
Published 2025-02-01“…Optimal conditions included a 1.34 cm PCM thickness, 40 °C ambient temperature, 0.73 m/s air speed, and 720 W/m2 radiation. …”
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4598
Optimizing Young Jackfruit (Artocarpus heterophyllus Lam.)...
Published 2025-01-01“…These findings suggest that boiling young jackfruit for 45 min optimizes its texture and sensory qualities, highlighting its potential as a sustainable, nutritious, and appealing ingredient for plant-based meat substitutes.…”
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4599
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Published 2022-01-01“…This method is an integration of feature extraction based on image processing and metaheuristic optimized machine learning. Image processing is used to compute features that characterize visual appearance and texture of the pavement image. …”
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4600
An optimal control method considering degradation and economy based on mutual learn salp swarm algorithm of an islanded zero‐carbon DC microgrid
Published 2024-12-01“…This paper provides an optimal control method based on the mutual learn salp swarm algorithm (MLSSA) in real‐time, which aims to enhance the economy and extend the system's service life. …”
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