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961
Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery
Published 2025-07-01“…In this study, we developed machine learning (ML) algorithms to estimate 30-day mortality risk post-hip fracture surgery in the elderly using data from the National Surgical Quality Improvement Program (NSQIP 2012–2017, n = 62,492 patients). …”
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962
A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance
Published 2025-01-01“…This framework leverages Teaching-Learning-Based Optimization (TLBO) and Particle Swarm Optimization (PSO) algorithms to find the optimum values of the PIDF and Fuzzy-PIDF controllers’ gains, respectively. …”
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963
Optimization Methods for Customized Bus Routes in Random Environments
Published 2025-01-01“…This algorithm starts by generating an optimized initial path based on initial reservation demands and then employs a dynamic adjustment mechanism to respond to real-time requests. …”
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964
Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs
Published 2025-03-01“…We also elaborate on the optimization methods of algorithms for different data sources. …”
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965
Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks
Published 2014-01-01“…It employs the framework of multiobjective evolutionary algorithm based on decomposition to simultaneously optimize the modularity and normalized mutual information, which quantitatively measure the quality of the community partitions and temporal cost, respectively. …”
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966
Enhancing Cloud Resource Management Based on Intelligent System
Published 2024-06-01“… Cloud computing is a significant technology model with the strongest potential to change the way IT activities are carried out. The cloud offers low-cost and scalable IT resources. Cloud providers strive to improve business outcomes so cloud systems become more complex. …”
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967
Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion
Published 2025-01-01Get full text
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968
Optimal sizing of diesel-electric hybrid powertrain for locomotive
Published 2022-05-01“…In the outer loop, the particle swarm algorithm was applied to optimize the sizing parameters, aimed at reducing the life cycle cost. …”
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969
QoS Aware Task Scheduling Using Hybrid Genetic Algorithm in Cloud Computing
Published 2025-01-01“…In this paper, the Smart Message Passing Interface Approach (SMPIA) is combined with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms for CC application. …”
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970
Optimization of emission scheduling in microgrids with electric vehicle integration
Published 2024-11-01“…The whale optimization algorithm (WOA) was chosen as the solving algorithm, and an improved WOA (IWOA) was obtained by optimizing the original WOA in terms of population initialization and position updating parameters. …”
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971
Algorithms for big data mining of hub patent transactions based on decision trees
Published 2025-01-01“…Based on evolutionary computing, the optimal values of the parameters of algorithms for big data mining of hub patent transactions have been established.…”
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972
Application of adaptive artificial bee colony algorithm in environmental and economic dispatching management
Published 2025-02-01“…The total cost of the adaptive algorithm, ABC algorithm, and the optimal algorithm was 102126.0573 yuan, 113001.0383 yuan, and 109594.9634 yuan, respectively. …”
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973
Optimizing Locations of Primary Schools in Rural Areas of China
Published 2021-01-01“…Scientific location selection of schools is an important way to optimize the allocation of educational resources, improve the efficiency of operating schools, and realize the balanced development of education, especially in rural areas. …”
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974
Advances in Surveying Topographically Complex Ecosystems with UAVs: Manta Ray Foraging Algorithms
Published 2024-11-01“…This study introduces an innovative UAV cruise data collection path planning approach using the manta ray foraging optimization (MRFO) algorithm to enhance efficiency and energy utilization in forest ecosystem monitoring. …”
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975
A Method for Service Function Chain Migration Based on Server Failure Prediction in Mobile Edge Computing Environment
Published 2025-01-01“…Using a Long Short-Term Memory (LSTM) algorithm optimized by Super SAPSO (Simulated Annealing Particle Swarm Optimization), the model forecasts server failures with improved accuracy, reducing False Alarm Rates and improving Failure Detection Rates. …”
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976
Toward an algorithm of percutaneous microelectrolysis: a randomized clinical trial on invasive techniques
Published 2025-08-01“…CONCLUSIONS: All needling techniques demonstrated analgesic effects on myofascial trigger points, with the algorithm-enhanced MEP showing the most notable improvement in self-reported pain. …”
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977
Routing Optimization for Shared Electric Vehicles with Ride-Sharing
Published 2020-01-01“…Secondly, the routing optimization model of SEVs with ride-sharing is proposed, in which the SEVs operation cost, user time cost, user rental cost, and user ride-sharing bonus are taken into account. …”
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978
Approximated Optimal Solution for Economic Manufacturing Quantity Model
Published 2025-06-01“…This study investigates the use of the bisection algorithm in inventory models to obtain an approximated optimal solution for the economic manufacturing quantity (EMQ) problem under imperfect production conditions. …”
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979
Leveraging the Louvain algorithm for enhanced group formation and collaboration in online learning environments
Published 2024-12-01“…Traditional methods of group formation, such as teacher intervention and self-selection, often fail to create balanced and effective groups, especially in large online courses. The Louvain algorithm, known for its efficiency in modularity optimization, identifies clusters based on actual student interaction patterns. …”
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980
Cloud computing virtualization technology based on bandwidth resource-aware migration algorithm
Published 2025-07-01“…The results showed that the algorithm outperformed others, achieving optimal performance in just 102 iterations and excelling in resource occupancy, utilization, load balancing, migration costs, average migration quantity, latency, and task completion time. …”
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