Optimized Deployment of Generalized OCDM in Deep-Sea Shadow-Zone Underwater Acoustic Channels by Haodong Yu, Cheng Chi, Yongxing Fan, Zhanqing Pu, Wei Wang, Li Yin, Yu Li, Haining Huang

“…By segmenting the data signal into multiple vector blocks, GOCDM enables flexible resource allocation, optimizing the PAPR without compromising performance. …”
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Iterative refinement and goal articulation to optimize large language models for clinical information extraction by David Hein, Alana Christie, Michael Holcomb, Bingqing Xie, AJ Jain, Joseph Vento, Neil Rakheja, Ameer Hamza Shakur, Scott Christley, Lindsay G. Cowell, James Brugarolas, Andrew R. Jamieson, Payal Kapur

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Astigmatism in Duane Retraction Syndrome by Masoud Khorrami-Nejad, Mohammad Reza Akbari, Babak Masoomian, Hayder Ali Mahmood, Kimia Daneshvar, Ali Majdi

“…These findings highlight the importance of comprehensive astigmatism assessment in DRS patients for optimal refractive management.…”
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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…At the first stage, the data were freed from outliers and errors, then normalized to unify the scale of different variables. …”
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Optimization of PETG 3D printing parameters for the design and development of biocompatible bone implants by M. Moeen Sultan, Tauseef Aized, M. Farooq, Saqib Anwar, Naseer Ahmad, Ambreen Tauseef, Fahid Riaz

“…This study aimed to fabricate a cranial implant using the optimized parameters of 3D printed PETG for good mechanical properties. …”
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End-to-End Deep-Learning-Based Surrogate Modeling for Supersonic Airfoil Shape Optimization by Diogo Pereira, Frederico Afonso, Fernando Lau

“…The surrogate model is thoroughly examined and validated, including an analysis of model explainability. The surrogate model achieves on par results with the state-of-the-art, with relative errors in aerodynamic coefficient predictions below 1.7%. …”
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Multitemporal Difference and Dynamic Optimization Framework for Multiscale Motion Satellite Video Super-Resolution by Qian Zhao, Youming Guo, Lei Min, Changhui Rao

“…To address this challenge, we propose an efficient super-resolution method based on a multitemporal difference and dynamic optimization framework. Specifically, we introduce a multilevel temporal difference analysis mechanism to rapidly capture comprehensive motion information. …”
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Design Optimization and Burst Speed Prediction of a Ti2AlNb Blisk by Yue Guo, Yi-xiong Liu, Yun-wu Wu, Hang Cao, Da Mo

“…This paper is aimed at performing a systematic investigation on the design of a high-speed Ti2AlNb blisk, including disc geometry optimization and burst speed prediction. Incorporating the design of the experimental approach and the commercial software has guaranteed that the optimization could be accomplished. …”
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Surface Deformation Monitoring and Prediction of Longtantian Open-Pit Mine Based on SBAS-InSAR and CNN-BiLSTM Techniques by Xiaoxiao Zhang, Qi Chen, Mengshi Yang, Zhifang Zhao, Yu Zheng, Qixue Dai, Yang He, Dayu Cai, Ting Xu

“…The experimental results show that the CNN-BiLSTM architecture has significantly improved prediction accuracy compared to the basic LSTM model. The prediction error distribution of the original LSTM model is in the range of [–196.55, 106.91] mm, while the improved CNN-BiLSTM model reduces the error range to the range of [–58.22, 74.33] mm, with extreme error values reduced by 70.40% and 30.47%, respectively. …”
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Day-Ahead Complementary Operation for a Wind-Hydro-Thermal System Considering Multi-Dimensional Uncertainty by Xiaoyu Shi, Rong Jia, Qiang Huang, Guohe Huang, Xuewen Lei, Jiangfeng Li, Bo Ming, Zeqian Zhao, Le Li

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Benchmarking and optimization of methods for the detection of identity-by-descent in high-recombining Plasmodium falciparum genomes by Bing Guo, Shannon Takala-Harrison, Timothy D O'Connor

“…Notably, IBD detected with optimized parameters allows for more accurate capture of selection signals and population structure; IBD-based Ne inference is very sensitive to IBD detection errors, with IBD called from hmmIBD uniquely providing less biased estimates of Ne in this context. …”
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Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model by Fanchao Zeng, Qing Gao, Lifeng Wu, Zhilong Rao, Zihan Wang, Xinjian Zhang, Fuqi Yao, Jinwei Sun

“…Multivariate probability density analysis confirms the model’s robustness through enhanced capture of nonlinear atmospheric-land interactions and reduced parameterization uncertainties via swarm intelligence optimization. …”
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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…Although image processing methods provide efficient means for acquiring and analyzing data on sediment transport characteristics, their accuracy is often compromised by water waves, bubbles, and threshold errors. Therefore, continuous improvements and refinements remain essential to ensure the acquisition of accurate and reliable particle state data. …”
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Intelligent Optimized Combined Model Based on GARCH and SVM for Forecasting Electricity Price of New South Wales, Australia by Yi Yang, Yao Dong, Yanhua Chen, Caihong Li

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Optimal Load Frequency Control of a Multi-Area Power System with Dead Band Effect and Generation Rate Constraints by Narender Saini, Jyoti Ohri

“…According to the simulation findings, the GWO technique gives better dynamic responses in terms of overshoot value, settling time, and Integral Time Absolute Error.  Finally, to evaluate the robustness of the suggested optimization strategies, sensitivity analysis is done by modifying the system parameters (turbine time constant, governor time constant, and both simultaneously) in the range of 25% from their nominal values.…”
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Optimal reception of multiple phase shift keying and quadrature amplitude modulation signals with non-coherent processing of harmonic interference by G. V. Kulikov, T. T. Do, A. A. Lelyukh, V. D. Nguyen

“…Various statistical radio engineering and computer simulation methods were used in accordance with optimal signal reception theory.Results. Synthesis and analysis of the optimal algorithm for receiving M-PSK and M-QAM signals with incoherent processing of harmonic interference were carried out. …”
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Decrease in Computational Load and Increase in Accuracy for Filtering of Random Signals by Phil Howlett, Anatoli Torokhti, Pablo Soto-Quiros

“…The error analysis and results of numerical simulations are provided.…”
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Observability Degree-Based AUV Single Beacon Navigation Trajectory Optimization with Range-Only Measurements by Huapeng Yu, Xu Zhou

“…To find out the optimum path to utilize range-only measurements, a novel observability degree-based analysis method is proposed, which gives a quantitative insight into convergence characteristics of the error states by using the eigenvalues of the normalized error covariance matrix. …”
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Algorithms for Integrated Object Detection in Wireless Sensor Networks by V. I. Parfenov, T. T. Bui

“…The detection algorithm was synthesized based on the statistical theory of optimal signal detection and, specifically, on the following a priori information: the probability of errors in the detection of each sensor object and the probability of errors in communication channels. …”
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Neuro-fuzzy inference system and white shark optimization of coagulation-flocculation of aquaculture wastewater treatment by A.F. Mohamed, H. Rezk

“…The R-squared values for testing and training are 0.76 and 1.0, respectively. In compared to analysis of variance adaptive neuro-fuzzy inference system lowered the root mean square error from 2.8 to 0.836 (a 70 percent decrease). …”
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