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Suggested Topics within your search.
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6601
Multi-period and multi-objective stock portfolio modeling considering cone constraints
Published 2025-03-01Get full text
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6602
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6605
Investigation on Circadian Regulation of Four-Primary LED Display Differed in People by GA
Published 2024-01-01Get full text
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6606
Optimization Performance and Efficiency Improvement of Microgrid Scheduling Model
Published 2023-06-01Get full text
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6607
Considering the Structure of Scientific and Cognitive Activity at Different Levels of Continuing Education
Published 2015-03-01“…The survey respondents were selected from the school and university students, postgraduates, candidates and doctors of sciences, either prone to or engaged in research activity at various levels. The research data demonstrate that the system of continuing education does not provide any clear and verified algorithm of scientific and cognitive activity, as the result the scientific cognitive competence of human subjects of educational process is not developed including its intellectual and instrumental components. …”
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6609
AI-based pelvic floor surface electromyography reference ranges and high-precision pelvic floor dysfunction diagnosisResearch in context
Published 2025-07-01“…Upon publication of this study, the AI-Diagnostician-PFD model for PFD prediction will be provided free via software on machines. Implementing this algorithm in clinical practice can enhance individual PFD diagnosis and improve population-level health outcomes. …”
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6611
An integrative scoring approach for prioritization of rare autism spectrum disorder candidate variants from whole exome sequencing data
Published 2025-04-01“…To this end, we developed AutScore, an integrative prioritization algorithm of ASD candidate variants from WES data and assessed its performance to detect clinically relevant variants. …”
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6612
Survey of controller placement problem in software defined network
Published 2017-07-01“…In order to change situation of high management complexity in current Internet,software defined network (SDN) was proposed,which mainly aimed to directly control forwarding behaviors of data-flow by using flow strategies generated by controllers.With the deployment and applications of SDN,research communities found that the controller placement in SDN network could directly affect network performance.In recent years,controller placement problem (CPP) has become a hot topic,where performance metric and searching algorithms are important research areas.Based on current researches,the existing controller placement problem was systematically analyzed and summarized,which was expected to be helpful for the follow-up research.…”
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6613
Innovative Study on Volatility Prediction Model for New Energy Stock Indices
Published 2025-01-01“…Stock market volatility is a pivotal research area in finance, and accurately forecasting stock market volatility has long been a challenge for both academia and practice. …”
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6614
Enhanced Dung Beetle Optimizer-Optimized KELM for Pile Bearing Capacity Prediction
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6616
State and prospects of basic computer training in engineering education
Published 2016-12-01“…Special role of the structured programming technology is mentioned, the use of which allows you to effectively develop easy understood algorithms and computer programs with a minimal number of errors.Particular attention is drawn to the serious methodological support in the 80th (the last century), the basic computer training of students by the Ministry of Higher Education of the USSR and the Research Institute of Higher School Problems. …”
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6617
Charge and discharge scheduling method for large-scale electric vehicles in V2G mode via MLGCSO
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6618
Epidemiology, disease burden and costs of Duchenne muscular dystrophy in Germany: an observational, retrospective health claims data analysis
Published 2025-08-01“…Conclusions We present an algorithm on which further research can be based, and provide a current picture of epidemiology, burden of disease and healthcare utilization and direct costs of DMD in Germany.…”
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Exploiting Data Distribution: A Multi-Ranking Approach
Published 2025-03-01“…So-called local rankings were constructed for local data sources using an approach based on machine learning models, i.e., the greedy algorithm for the induction of decision rules. Two types of classifiers relating to explicit and implicit knowledge representation, i.e., gradient boosting and neural networks, were used to verify the research methodology. …”
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