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1201
A Privacy-Preserving Polymorphic Heterogeneous Security Architecture for Cloud–Edge Collaboration Industrial Control Systems
Published 2025-07-01“…The architecture introduces three key innovations: (1) a hybrid event–time triggered scheduling algorithm with credibility assessment and heterogeneity metrics to mitigate common-mode escape scenarios, (2) an adaptive privacy budget allocation mechanism that balances privacy protection effectiveness with system availability based on attack activity levels, and (3) a unified framework that organically integrates privacy-preserving arbitration with heterogeneous redundancy management. …”
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1202
BIM and AI Integration for Dynamic Schedule Management: A Practical Framework and Case Study
Published 2025-07-01“…Through a case study on a large-scale water reservoir tunnel project in China, the framework demonstrated significant improvements in identifying schedule risks, optimizing resource allocation, and enabling real-time adjustments. …”
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1203
Benefits of Urban Parks in Different Land Uses
Published 2025-04-01“…There are excessive facilities for passive activities in parks, suggesting a need for resource optimization. The results of this study help urban planners find region-specific design solutions for different land uses and effectively manage and optimize resource allocation.…”
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1204
Crop Recommendation Systems Based on Soil and Environmental Factors Using Graph Convolution Neural Network: A Systematic Literature Review
Published 2023-11-01“…We prioritize choosing the optimum graph-based model based on the dataset’s nature and inherent links to optimize crop management and resource allocation.…”
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1205
A Time-Efficient Convergecast Scheduling on Star-Linear IWSN for Narrow Process Industries
Published 2015-05-01“…Over the backbone, an optimal slots allocating algorithm is designed to maximize the slots performance in terms of the end-to-end communication reliability, based on which a slot-efficient multisuperframe scheduling algorithm is presented. …”
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1206
Analyzing Method of the Absorption Capability of New Energy in Distribution Network with Consideration of Regional Self-discipline and Absorption Quality
Published 2021-09-01“…Firstly, the strategy for implementing the self-discipline operation of the distribution network was unveiled, and the performance indices of self-discipline operation capability were created. Then, the optimal allocation model for the new energy absorption capability of the distribution network was constructed, and the operation behavior model of the distribution network satisfying self-discipline constraints was built based on energy storage, flexible load, and network reconstruction, and solved by the genetic algorithm. …”
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1207
Modeling of information-analytical support for the timber industry complex
Published 2024-01-01“…A model of the behaviour of a multi-purpose information system is developed and mathematically justified, and its reachability is checked. The resource allocation problem is also formulated and the solution of the problem is mathematically justified. …”
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1208
OPTIMASI PENJADWALAN PROYEK DENGAN PENYEIMBANGAN BIAYA MENGGUNAKAN KOMBINASI CPM DAN ALGORITMA GENETIKA
Published 2012-03-01“…The allocation of activities is determined based on the earliest start time and latest start time by taking into account the cost of resources in each period of the project. …”
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1209
The moderating role of professional grief in the relationship between job stress dimensions and turnover intention among nurses
Published 2025-07-01“…Methods This study utilized linear regression models and the Extreme Gradient Boosting machine (XGBoost) learning algorithm to analyze the impact of the total score of job stress and their dimensions on turnover intention. …”
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1210
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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1211
SUSTAINABLE BACKUP POWER WITH V2G INTEGRATION IN HYBRID MICROGRID
Published 2025-05-01“…The gadget ensures uninterrupted energy for critical systems which includes the Intensive Care Unit and emergency gadget whilst deprioritizing non-vital loads to optimize aid allocation. Advanced manage algorithms dynamically manage power flows ensuring effective operation even in the face of renewable power variability. …”
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1212
Dynamic SOFA component scores-based deep learning for short to long-term mortality prediction in sepsis survivors
Published 2025-07-01“…Early identification of those at high risk of mortality following discharge may optimize healthcare resource allocation. We sought to feed common clinical available data to a deep learning algorithm for predicting short to long-term mortality in sepsis survivors. …”
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1213
Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method
Published 2025-01-01“…Precisely forecasting output of solar photovoltaics is crucial for (i) effective solar power management, (ii) integration into the electrical grid, (iii) flexible allocation of power resources. While deep learning algorithms have shown promise in energy applications, single algorithms often struggle with unstable predictions and limited generalizability for predicting photovoltaic (PV) output. …”
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1214
Exploring the Causes of Severe Fluctuations in Water Surface Area Using Water Index and Structural Equation Modeling: Evidence from Ebinur Lake, China
Published 2025-04-01“…The quantified driving factors and the MAWEI-based monitoring framework can directly provide references for water resource allocation policies and ecological restoration priorities in the economic zone of the Tianshan Mountains.…”
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1215
The Association Between Internet Use and Co-occurring Health Care Needs: Cross-Sectional Study in China
Published 2025-04-01“… BackgroundThe need for health care underpins health care service provision and serves as the foundation for enhancing service capacity and allocating resources. Health care needs are influenced by health, social, and economic conditions and may exhibit different characteristics over time. …”
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1216
Modelling and simulation of the block pouring construction system considering spatial–temporal conflict of construction machinery in arch dams
Published 2025-08-01“…The discrete system theory is employed to develop a simulation framework that systematically incorporates four core components: simulation objectives, construction machinery operational cycles, resource allocation mechanisms, and modeling assumptions. …”
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1217
Artificial Intelligence Implementation in Library Information Systems: Current Trends and Future Studies
Published 2025-08-01“…It enables analysis of user behavior and trends, optimizing resource allocation and collection development. By leveraging AI to assess circulation data and usage patterns, librarians can better anticipate user needs and future trends. …”
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1218
Artificial intelligence analysis in cyber domain: A review
Published 2022-04-01“…This method permits for the allocation of multiple log source types through a sliding time window and provides a scalable solution, which is a much-needed function.…”
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1219
Application of 5G + edge computing technology in intelligent monitoring construction of electricity business office
Published 2025-05-01“…This paper proposes a heterogeneous node deployment algorithm based on regional density, which divides the network regionally by raster and heterogeneous node communication range, and determines the optimal location of heterogeneous nodes by regional density, realizing the reasonable allocation and utilization of network resources. …”
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1220
Predicting High-Cost Healthcare Utilization Using Machine Learning: A Multi-Service Risk Stratification Analysis in EU-Based Private Group Health Insurance
Published 2025-07-01“…Healthcare cost acceleration and resource allocation issues have worsened across European health systems, where a small group of patients drives excessive healthcare spending. …”
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