The human touch in AI: optimizing language learning through self-determination theory and teacher scaffolding by Yi Ma, Mingyang Chen

Get full text

Salp Swarm Algorithm Optimized A* Algorithm and Improved B-Spline Interpolation in Path Planning by Hang Zhou, Tianning Shang, Yongchuan Wang, Long Zuo

“…The second key contribution is an improved B-spline interpolation method incorporating a two-stage optimization strategy for smoother and safer paths. A corner avoidance strategy first adjusts control points near sharp turns to prevent collisions, followed by a path obstacle avoidance strategy that fine-tunes control point positions to ensure safe distances from obstacles. …”
Get full text

ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions by Pavan Kumar S, Nirav Pravinbhai Bhatt

Get full text

UAV Mission Computer Operation Mode Optimization Focusing on Computational Energy Efficiency and System Responsiveness by Oleksandr Liubimov, Ihor Turkin, Valeriy Cheranovskiy, Lina Volobuieva

“…The rising popularity of UAVs and other autonomous control systems coupled with real-time operating systems has increased the complexity of developing systems with the proper robustness, performance, and reactivity. …”
Get full text

Homogeneity Test of Many-to-One Risk Differences for Correlated Binary Data under Optimal Algorithms by Keyi Mou, Zhiming Li

“…In clinical studies, it is important to investigate the effectiveness of different therapeutic designs, especially, multiple treatment groups to one control group. The paper mainly studies homogeneity test of many-to-one risk differences from correlated binary data under optimal algorithms. …”
Get full text

Application of improved particle swarm optimization algorithm combined with genetic algorithm in shear wall design by Wei Gao

“…The improved algorithm is based on the basic framework of genetic algorithm and particle swarm optimization algorithm, first adjusting the inertia weight, and then introducing elimination mechanism and mutation rate control. …”
Get full text

A landslide susceptibility assessment method using SBAS-InSAR to optimize Bayesian network by Xinyu Gao, Bo Wang, Wen Dai, Yuanmin Liu, Yuanmin Liu

“…The deformation factor calculated by SBAS-InSAR is then incorporated into the BN model. The optimized Bayesian network (OPT-BN) outperformed the unoptimized version (ORI-BN) in accuracy, and the landslide susceptibility mapping was more reasonable. …”
Get full text

Machine Learning for Internal Combustion Engine Optimization with Hydrogen-Blended Fuels: A Literature Review by Mateusz Zbikowski, Andrzej Teodorczyk

“…Integrating AI-driven strategies into electronic control units (ECUs) can facilitate real-time optimization. …”
Get full text

The Neuromusculoskeletal Modeling Pipeline: MATLAB-based model personalization and treatment optimization functionality for OpenSim by Claire V. Hammond, Spencer T. Williams, Marleny M. Vega, Di Ao, Geng Li, Robert M. Salati, Kayla M. Pariser, Mohammad S. Shourijeh, Ayman W. Habib, Carolynn Patten, Benjamin J. Fregly

“…The Treatment Optimization toolset contains three tools for predicting and optimizing a patient’s functional outcome for different treatment options using a patient’s personalized neuromusculoskeletal model and direct collocation optimal control methods. …”
Get full text

Numerical Study on the Drag Reduction for a D-Shaped Bluff Body with Wavy Trailing Edge Structures by H. Yang, D. Luo, T. Wang

“…After identifying the optimal amplitude, wavelength, and wave type, we further investigated the control mechanism of the wavy structures in reducing the drag and mitigating lift fluctuations for Reynolds numbers in the range 3.6×105–3.6×106. …”
Get full text

Research on the impact of inverter control on the dynamic behavior of wind turbine drivetrain during transmission system failures by Shijie Zhang, Xuhui Zhou, Jing Wei, Quntao Li, Yuting Ma

“…Furthermore, the proposed strategy enables a more rapid restoration of system stability following fault clearance, improving overall operational reliability. …”
Get full text

The role of side walls of atriums and building intelligence in optimizing energy consumption in commercial centers of Tehran by Amir Shayanian, Fatemeh Mozaffari Qadiklayi, Ali Pahlavan

“…Increasing energy demand and environmental problems caused by the consumption of fossil fuels have made the use of passive solar energy methods more necessary, especially in commercial centers. …”
Get full text

Environment-friendly experimental solar-powered UV light pest trapping mechanism for open agricultural fields by Kshitij Madduri, Shivashankar Hiremath, Lokesh J, Dundesh S Chiniwar, Shrishail M H

“…With agriculture employing more than half of the country’s workforce, a considerable number of individuals are at risk from using toxic chemicals and pesticides. …”
Get full text

A NEURAL NETWORK APPROACH TO BEAM SELECTION AND POWER OPTIMIZATION IN MM WAVE MASSIVE MIMO by Shahnaz Fatima, M. P. Subba Raju, R. Anil Kumar, Vatsala Anand, Yarrapragada K. S. S. Rao, D. Kishore, U. S. B. K. Mahalaxmi, K. Kalyani

Get full text

Shield tunneling efficiency and stability enhancement based on interpretable machine learning and multi-objective optimization by Wenli Liu, Yang Chen, Tianxiang Liu, Wen Liu, Jue Li, Yangyang Chen

“…These metrics collectively reflect the model’s excellent performance in prediction accuracy, ability to explain data variability, and control of prediction bias. The multi-objective optimization model is effective in optimizing two objectives, and the improvement can reach up to 39.38%; at the same time, the model has high scalability and can also be applied to three or more objectives. …”
Get full text

Optimal Dispatch of a Virtual Power Plant Considering Distributed Energy Resources Under Uncertainty by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

“…The varying characteristics of grid-connected energy resources necessitate a clear and effective approach for managing and scheduling generation units. Without proper control, high levels of renewable integration can pose challenges to optimal dispatch, especially as more generation sources, like wind and solar PV, are introduced. …”
Get full text

Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study by Olalekan A Uthman, Lena Al-Khudairy, Chidozie Nduka, Rachel Court, Jodie Enderby, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

Get full text

Optimal protein requirement for rapid and coordinated test growth of juvenile sea urchin (Strongylocentrotus intermedius) by Panke Gong, Haijing Liu, Dan Gou, Weixiao Di, Huinan Zuo, Jun Ding, Yaqing Chang, Rantao Zuo

Get full text

Practice and Optimization of Seasonal/Daily Composite Thermal Energy Storage Technology Based on Lakes/Rivers by YANG Shuchuan, YIN Yonggao, LI Xiao, ZHAO Donglin, CUI Mengying

“…For the tank design, the right tank volume and control strategy can avoid more initial investment and energy consumption. …”
Get full text

Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm by Thanh Long Duong, Minh Quan Duong, Van-Duc Phan, Thang Trung Nguyen

“…For verifying the performance, solutions of IEEE 30 and 118-bus system with TPL, VD, and VSI objectives are found by the SFS method with different control parameter settings. Result comparisons indicate that SFS is more favorable than other methods about finding effective solutions and having faster speed. …”
Get full text