Event-Triggered Impulsive Formation Control for Cooperative Obstacle Avoidance of UAV Swarms in Tunnel Environments by Rui Hao, Wenjie Zhou, Yuanfan Wang, Yuehao Yan

“…Lyapunov stability analysis proves the convergence of the proposed control strategy. …”
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Identity-Based Provable Data Possession with Designated Verifier from Lattices for Cloud Computing by Mengdi Zhao, Huiyan Chen

“…We provide a formal security proof of the proposed scheme under the small-integer solution (SIS) and learning with errors (LWE) within the random oracle model. Theoretical analysis confirms that the scheme achieves security guarantees while maintaining practical feasibility. …”
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Analyzing the performance of biomedical time-series segmentation with electrophysiology data by Richard Redina, Jakub Hejc, Marina Filipenska, Zdenek Starek

“…Each model underwent Bayesian optimization to minimize hyperparameter bias. Results indicated that deep learning models outperformed traditional methods, with UNet achieving the highest segmentation score of 88.9 % (root mean square errors for onset and offset of 8.43 ms and 7.49 ms), closely followed by DENS-ECG at 87.8 %. …”
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A unified model of heading and path perception in primate MSTd. by Oliver W Layton, N Andrew Browning

“…Model curvature and heading errors fit those made by humans. Our model challenges the view that the function of MSTd is heading estimation, based on our analysis we claim that it is primarily concerned with trajectory estimation and the simultaneous representation of both curvature and heading. …”
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Finite Element Modeling of RC Beams Produced with Low-Strength Concrete and Strengthened for Bending and Shear with CFRP and GFRP by Wael Mansur Hussien Aldhabir, Ali Sarıbıyık, Yusuf Sümer

“…Additionally, construction errors also contribute to reducing the load-bearing capacity of structural elements. …”
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Federated Deep Learning for Scalable and Explainable Load Forecasting in Privacy-Conscious Smart Cities by Ibrahim Alzamil

“…Statistical significance analysis further affirms its superiority in performance and reliability. …”
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The Integration of Artificial Intelligence in In Vitro Fertilization: A Comprehensive Narrative Review by Akash More, Vilas Chimurkar, Sanket Mahajan, Sudhanshu Dakre, Namrata Anjankar, Deepali More

“…Likewise, AI optimizes the assessment of ova quality by bringing in morphological evaluations and time-lapse video imaging for continuous observation of ova maturation. …”
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Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

“…The findings provide practical implications for managers and administrators seeking to optimize customer retention and profitability.…”
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EVENT AND COMPOSITION OF AN ADMINISTRATIVE OFFENSE: DIFFERENCE OF DEFINITIONS ON THE EXAMPLE OF LIABILITY FOR VIOLATIONS WHEN CHOOSING A PROCUREMENT METHOD by G. Dobretsov

“…For the first time in the conditions of adoption of the optimization package of changes to the contract system in the field of procurement, the issue of liability for violations when choosing a method for determining the supplier (executor, contractor) is considered. …”
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Deep learning-based approach for extracting inflorescence morphology features in cut chrysanthemum by Shanpeng Xu, Jingshan Lu, Yin Wu, Huahao Liu, Fadi Chen, Fei Zhang, Sumei Chen, Weimin Fang, Zhiyong Guan

“…For diameter estimation, mean squared errors (MSE) of 6.605 mm (ligulate) and 2.034 mm (bisexual) were obtained, with coefficients of determination (R2) approaching 0.98. …”
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Inverse design of photonic surfaces via multi fidelity ensemble framework and femtosecond laser processing by Luka Grbčić, Minok Park, Mahmoud Elzouka, Ravi Prasher, Juliane Müller, Costas P. Grigoropoulos, Sean D. Lubner, Vassilia Zorba, Wibe Albert de Jong

“…The MF ensemble combines an initial low fidelity model for generating design solutions, with a high fidelity model that refines these solutions through local optimization. The combined MF ensemble can generate multiple disparate sets of laser-processing parameters that can each produce the same target input spectral emissivity with high accuracy (root mean squared errors < 2%). …”
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Cubic-quartic optical solitons with polarization-mode dispersion by the improved adomian decomposition scheme by Afrah M. Almalki, A.A. AlQarni, H.O. Bakodah, A.A. Alshaery, Ahmed H. Arnous, Anjan Biswas

“…It identifies a strong correlation between numerical results and earlier analytical soliton expressions from Zahran and Bekir. The analysis highlights impressively low computational errors, confirming IADM's effectiveness in delivering accurate solutions. …”
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Unlocking Movement: How Wearables Transform Biomechanical Assessment and Rehabilitation by Tahir Masood

“…Although IMUs exhibit some measurement errors, their reliability in capturing joint kinematics makes them popular. …”
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Embedding Moving Baseline RTK for High-Precision Spatiotemporal Synchronization in Virtual Coupling Applications by Susu Huang, Baigen Cai, Debiao Lu, Yang Zhao, Miao Zhang, Linyu Shang

“…The results demonstrate that MB-RTK achieves centimeter-level relative positioning accuracy under normal GNSS conditions, maintains tracking errors within 10 m, and typically keeps velocity synchronization deviations within ±0.5 km/h. …”
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New Method for Interpreting Gas and Water Production in Horizontal Gas Wells Based on Array Flow Imaging Logging by CHEN Haixiang, ZHENG Xiaomin, LIU Heng, LUO Ning, YANG Guofeng, CHEN Meng

“…Traditional multiple-measurement intersection analysis methods often struggle to accurately reflect the gas and water production from individual layers when determining the average fluid velocity in the wellbore, leading to significant errors. …”
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Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…Abstract The rate of penetration (ROP) is a critical parameter for optimizing oil well drilling and the overall cost of drilling operations. …”
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Addressing the dynamic nature of reference data: a new nucleotide database for robust metagenomic classification by Jose Manuel Martí, Car Reen Kok, James B. Thissen, Nisha J. Mulakken, Aram Avila-Herrera, Crystal J. Jaing, Jonathan E. Allen, Nicholas A. Be

“…This new resource demonstrably reduces errors and improves the reliability of microbial identification across diverse taxonomic groups. …”
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Fine-tuned YOLO-based deep learning model for detecting malaria parasites and leukocytes in thick smear images: A Tanzanian case study by Beston Lufyagila, Bonny Mgawe, Anael Sam

“…However, manual identification is labor-intensive, time-consuming, and prone to diagnostic errors—particularly in resource-limited settings. …”
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On-Orbit Real-Time Signal Processing for Spaceborne Digital Beamforming Scatterometer by Yongqing Liu, Peng Liu, Risheng Yun, Te Wang, Xiangkun Zhang

“…This system provides timely sea surface roughness information through co-frequency observations, enabling real-time correction of radiometric measurement errors. In this study, we conduct an in-depth analysis of the on-orbit real-time signal processing technology of the spaceborne digital beamforming scatterometer, covering system architecture, real-time signal processing algorithms, and software optimization. …”
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Phenomenological Modeling on the Nonideal Factors of Memristor Based on Single-Crystalline LiNbO&#x2083; Thin Film by Yi Wang, Xinqiang Pan, Qin Xie, Junde Tong, Yao Shuai, Wenbo Luo, Chuangui Wu, Wanli Zhang

“…In addition, through the modelling and analysis, researchers can better understand the mechanism of the LN memristor, so as to optimize memristor design and improve memristor performance for the neural network computing.…”
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