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USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION
Published 2024-12-01“…The algorithm is used to determine the optimal policy by treating each raster as a state, the 26 possible directions as action sets, and the action value function as the objective function. …”
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Insights from UKCTOCS for design, conduct and analyses of large randomised controlled trials
Published 2023-08-01“…Randomised controlled trials are challenging to deliver. There is a constant need to review and refine recruitment and implementation strategies if they are to be completed on time and within budget. …”
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Coordinated Control of Relative Orbit of Co-Location Geostationary Satellites Using Game Theory
Published 2024-01-01“…Also, based on the case studies conducted by the authors, it is possible to optimally locate and control 20 satellites in a collective orbital slot without any interference.…”
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi...
Published 2025-06-01“…Methods This cross-sectional study used stratified cluster sampling to conduct an online survey among personnel at the Centers for Disease Control and Prevention from Heilongjiang Province, Jilin Province, Liaoning Province, and Inner Mongolia Autonomous Regions during May 2023. …”
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A 12-week cluster randomized controlled trial of the effectiveness of an AI-aided DICE algorithm for BPSD management in low-resource settings: a study protocol
Published 2025-05-01“…Therefore, this study aims to examine the effectiveness of the AI-aided DICE algorithm for managing BPSD in low-resource settings.MethodsThe cluster randomized controlled trial will be conducted in 12 medical facilities where geriatric psychiatrists are not fully installed. …”
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Developing an Immune Negative Selection Algorithm for Intrusion Detection in NSL-KDD data Set
Published 2016-06-01“…It this paper it has been used several varieties of algorithm selection passive immune algorithm selection passive with real values, algorithm selection with passive detectors with a radius fixed, algorithm selection with passive detectors, variable- sized intrusion detection network type misuse where the algorithm generates a set of detectors to distinguish the self-samples. …”
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Experimental observation of the critical conditions and establishment of bifurcation set equation for chip flow angle catastrophe in transverse turning
Published 2025-04-01“…Ten sets of coordinate data for abrupt critical control points were collected. …”
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Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm
Published 2021-01-01“…To evaluate the performance of proposed approach experiment is conducted in controlled parameter setting on open-source subject program from SIR repository. …”
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Research on Control Method of Electron Accelerator Based on Simulink Simulation
Published 2025-01-01“…This paper aims to solve the problems of nonlinearity, time-varying and instability in the beam control process of electron accelerator. To achieve this, the PID algorithm, fuzzy PID algorithm, and fuzzy neural network PID algorithm were employed. …”
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Optimizing Battery Charging in Wireless Sensor Networks: Performance Assessment of MPPT Algorithms in Different Environmental Settings
Published 2025-08-01“…A Proportional-Integral (PI) controller was also used to manage the battery charging process, and environmental profiles were varied across simulation periods to assess algorithm robustness.Results: The PSO algorithm achieved superior performance across all metrics, demonstrating the fastest response time (0.1 s), lowest overshoot (14.8 V, 25 mA), and highest energy transfer efficiency. …”
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TB drug susceptibility testing in high fluoroquinolone resistance settings
Published 2024-05-01“…CONCLUSIONS: The obtained results allowed designing the proposed diagnostic algorithm for rapid identification of DR-TB, ensuring rapid and equitable access to drug susceptibility testing for TB, ultimately improving TB care and control.…”
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A Clinical Risk Prediction Model for Depressive Disorders Based on Seven Machine Learning Algorithms
Published 2025-05-01“…Weifeng Jin,* Shuzi Chen,* Mengxia Wang,* Ping Lin Department of Medical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ping Lin, Email Linpingsun20000@aliyun.comObjective: To develop a clinical risk prediction model for depressive disorders using seven machine learning algorithms based on routine blood test indicators.Methods: A retrospective study was conducted, involving 284 patients with depressive disorders and 214 healthy controls recruited between January and October 2024. …”
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections
Published 2024-08-01“…Results from simulations conducted in environments set up using Matlab showed that in the task training of train operation on long steep downhill with randomly generated entry speeds, cumulative rewards gradually converged over training runs, which verified the convergence and generalization of the proposed algorithm. …”
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Active noise control of refrigerator based on cascaded notch feedback algorithm
Published 2025-06-01“…The feedback algorithm consists of a robust algorithm for dealing with external interference signals introduced during error signal collection. …”
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Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms
Published 2025-05-01“…Eventually, a Genetic Algorithm (NSGA-II) is integrated to estimate the optimal parameter set for multiple responses. …”
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Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter
Published 2025-02-01“…Abstract This article proposes a finite set model predictive control (FS-MPC) strategy for a three-phase, two-stage photovoltaic (PV) and battery-based hybrid microgrid (HMG) system. …”
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Human motor control during movements with high demands
Published 2024-09-01“…However, muscle synergies were rarely studied in sport-like settings which demands fall beyond daily tasks. In this light, we conducted several studies in order to build a deeper understanding of motor control in movements with high demands. …”
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Government-Expert Joint Intervention with Treatment Algorithm and Improved Hypertension Management and Reduced Stroke Mortality in a Primary-Care Setting
Published 2021-01-01“…In conclusion, government-expert joint intervention with introducing treatment algorithm may improve hypertension control and decrease related hospitalization and stroke mortality in underresourced settings.…”
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Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks
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