Flight Trajectory Prediction Based on Automatic Dependent Surveillance-Broadcast Data Fusion with Interacting Multiple Model and Informer Framework by Fan Li, Xuezhi Xu, Rihan Wang, Mingyuan Ma, Zijing Dong

“…The results demonstrate that the IMM-Informer framework has notable prediction error reductions and significantly outperforms the prediction accuracies of the standalone sequence prediction network models.…”
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The Effect of Stress Distribution on Tibial Implants with a Honeycomb Structure in Open-Wedge High Tibial Osteotomy by Zengbo Xu, Chunhui Mu, Yi Xia

“…The biomechanical experimental results of experiments on tibial implants exhibit similar mechanical response patterns to the established finite element model, whose maximum displacement error is 1.18% under 1500 N compressive load. The hybrid porous implant developed in this study demonstrated significant stress reductions in both tibial bone (19.97% and 15.33% lower than mono-porous configurations at 73% porosity) and implant body (31.60% and 11.83% reductions, respectively), while exhibiting diminished micromotion tendencies. …”
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A data mining approach for proposing a relationship to predict self-compaction concrete crack width after the self-healing period by Saeid Hosseini, Ali Seyedkazemi, Abdullah Davoudi-Kia, Saman Soleimani Kutanaei

“…This model achieved the lowest errors, with MSE, RMSE, and MAE values of 48.5713, 6.969, and 4.878, respectively, indicating its high accuracy in prediction and error minimization. …”
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Fast and Accurate Plane Wave and Color Doppler Imaging with the FOCUS Software Package by Jacob S. Honer, Robert J. McGough

“…Simulation results demonstrate rapid convergence and lower error rates compared to conventional spatial impulse response methods and Field II, resulting in substantial reductions in computation time. …”
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OBM-RFEcv: An adaptive ensemble model for monitoring key growth indicators of Gerbera using multi-spectral image fusion features. by Xinrui Wang, Yingming Shen, Peng Tian, Mengyao Wu, Zhaowen Li, Jiawei Zhao, Jihong Sun, Ye Qian

“…The results indicate that the OBM-RFEcv model outperforms the other models when using the fusion of the five VIs, particularly in the test dataset, where it achieved the highest accuracy for PH (NDVI), SPAD (GNDVI), LAI (GNDVI), and AGB (NDRE) with R2 values of 0.92, 0.90, 0.89, and 0.93, respectively. The root mean square error (RMSE) values were 0.04, 0.07, 0.08, and 0.07, respectively, showing improvements over the best individual model by 0.01, 0.03, 0.01, and 0.09 in R2, and reductions in RMSE by 0.01, 0.07, 0.08, and 0.03, respectively. …”
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Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

“…This paper proposed a flexibility regulation capability assessment method for hydropower systems to address low output in mid-term extreme forecast errors of renewable energy under extreme drought conditions. …”
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Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…Key findings demonstrate significant reductions in peak overshoot, peak undershoot, and settling time, emphasizing the proposed controller’s effectiveness. …”
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Case report: refractory atelectasis after infection of adenovirus and Mycoplasma Pneumoniae in an immunocompetent patient by Xuehua Xu, Hui Xu, Xiaoyun Jia, Huifeng Fan, Diyuan Yang, Dongwei Zhang, Gen Lu

“…The cellular analysis of the atrophic lung tissue showed a selective reduction in type I alveolar epithelial cells.…”
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Classifcation of events in information security systems based on neural networks by A. A. Mikryukov, A. V. Babash, V. A. Sizov

“…The approach is based on the application of the adaptive reduction procedure for the results of private classifiers and the procedure for selecting the method of aggregation of the results of private classifiers. …”
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Mapping near-real-time soil moisture dynamics over Tasmania with transfer learning by M. T. Widyastuti, J. Padarian, B. Minasny, M. Webb, M. Taufik, D. Kidd

“…Results showed that (1) models calibrated from the Australian dataset performed worse than Tasmanian models regardless of the type of DL approaches; (2) Tasmanian models, calibrated solely using local data, resulted in shortcomings in predicting soil moisture; and (3) transfer learning exhibited remarkable performance improvements (error reductions of up to 45 % and a 50 % increase in correlation) and resolved the drawbacks of the two previous models. …”
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Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

“…Concretely, the tactical behavior was expressed by spatiotemporal tracking data using convolutional neural networks, recurrent neural networks, variational recurrent neural networks, and variational autoencoders, Delaunay method, player rank, hierarchical clustering, logistic regression, XGBoost, random forest classifier, repeated incremental pruning produce error reduction, principal component analysis, and T-distributed stochastic neighbor embedding. …”
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Assessment the Effects of Climate Change on the Degree of Heating and Cooling Days of Iran by Hasan Zolfaqari, Hamid Rahimi, Rohollah Oji

“…It is expected to stabilize and reduce the need for cooling in the Alborz and Zagros ridgetop. In spite of the reduction in heating demand for the country, the horizons are foreseen. …”
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Brief communication: Improving lake ice modeling in ORCHIDEE-FLake model using MODIS albedo data by Z. Titus, Z. Titus, A. Cuynet, E. Salmon, C. Ottlé

“…The results are in better agreement with the observations for all lake size categories, with the largest and deepest lakes showing more significant error reductions in the duration of the ice cover period up to 18 d. …”
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Distributed Adaptive Coding Optimization for IoT Using Fulcrum Code and Model-Agnostic Meta-Learning (MAML) in Ultra-Low Latency Environments by Yair Rivera Julio, Angel Pinto, Rodrigo Garcia, Jose Aguilar, Nelson A. Perez-Garcia

“…FEC and HARQ further balance error correction and retransmission overhead. Simulations show significant reductions in transmission time and energy consumption, particularly in high-packet-loss scenarios. …”
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A Comparative Study on Battery Modelling via Specific Hybrid Pulse Power Characterization Testing for Unmanned Aerial Vehicles in Real Flight Conditions by Waiard Saikong, Prasophchok Phumma, Suradet Tantrairatn, Chaiyut Sumpavakup

“…Results indicate that the Thevenin model, with selective SOC-dependent parameters, demonstrated superior predictive accuracy, achieving error reductions of up to 4.26 times compared to the fixed resistance model. …”
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Dynamic Force Identification for Beamlike Structures Using an Improved Dynamic Stiffness Method by S.L. Chen, M. Géradin

“…Because the technique partly bypasses the processes of modal parameter extraction, global matrix inversion, and model reduction, it can eliminate many of the approximations and errors that may be introduced during these processes. …”
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Image Guidance in Radiation Therapy: Techniques and Applications by Shikha Goyal, Tejinder Kataria

“…In modern day radiotherapy, the emphasis on reduction on volume exposed to high radiotherapy doses, improving treatment precision as well as reducing radiation-related normal tissue toxicity has increased, and thus there is greater importance given to accurate position verification and correction before delivering radiotherapy. …”
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Overview of diffusion boriding problems in industrial applications by Željko Stojanović, Sanja Stanisavljev

“…The paper focuses on all defects that undermine the integrity of the boride layer and which affect on the reduction of its safety in severe exploitation conditions. …”
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Experimental Validation of Virtual Torque Sensing for Wind Turbine Gearboxes Based on Strain Measurements by Jelle Bosmans, Simone Gallas, Victor Smeets, Matteo Kirchner, Luk Geens, Jan Croes, Wim Desmet

“…Monitoring the torque paves the way for the calculation of remaining useful lifetime, leading to cost reductions through improved reliability and maintenance planning. …”
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Coordination of preventive, emergency and restorative trading strategies under uncertain sequential extreme weather events by Xuemei Dai, Jing Zhou, Xu Zhang, Kaifeng Zhang, Wei Feng

“…Additionally, the two-layer GNN model achieves a root mean square error of 0.01, demonstrating high accuracy in predicting system outage statuses.…”
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