UWB Indoor Localization Based on Artificial Rabbit Optimization Algorithm and BP Neural Network by Chaochuan Jia, Can Tao, Ting Yang, Maosheng Fu, Xiancun Zhou, Zhendong Huang

“…In NLOS scenarios, the error is further reduced to 9.86 cm (a 46.96% improvement over the 18.59 cm error of the baseline model). …”
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Wavelet-Enhanced Deep Learning Ensemble for Accurate Stock Market Forecasting: A Case Study of Nifty 50 Index by Priya Singh, Manoj Jha, Harshita Patel

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An Improved Tuning of PID Controller for PV Battery-Powered Brushless DC Motor Speed Regulation Using Hybrid Horse Herd Particle Swarm Optimization by A. RamaKrishnan, A. Shunmugalatha, K. Premkumar

“…The time domain-based performance indices were considered as an objective function such as addition of integral of squared speed error, integral of squared current error, and integral of squared electromagnetic torque error for finding the optimal gain values for the PID controller using HHHPSO. …”
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Position-Constrained Calibration Compensation for Hand–Eye Calibration in Industrial Robots by Jinsong Lin, Yuxing Feng, Wenze Ren, Jiahui Feng, Jun Zheng

“…Experimental results demonstrate that, following error compensation, the average distance error in hand–eye calibration decreased from 4.5731 mm to 0.7069 mm, indicating that the proposed calibration method is both reliable and effective.…”
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New bounds of the smoothing parameter for lattices. by Heng Guo, Fengxia Liu, Linlin Wang, Kun Tian

“…In the practical applications of lattice-based cryptography, where the lattice dimension is typically large, our new bound enables a more natural and smaller setting for the error parameter, thereby improving the upper bounds on all known smoothing parameters.…”
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Enhanced pedestrian trajectory prediction via overlapping field-of-view domains and integrated Kolmogorov-Arnold networks. by Hongxia Wang, Yang Liu, Zhenkai Nie

“…Accurate pedestrian trajectory prediction is crucial for applications such as autonomous driving and crowd surveillance. …”
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Postoperative human motion evaluation in orthopedics based on kinematic constraints and improved IMU-generated data processing algorithm. by Linzhi Xie, Zhengnan Li

“…The method has high accuracy and applicability, which can effectively improve the monitoring efficiency of postoperative human motion assessment in orthopedics, reduce the error of postoperative human motion assessment in orthopedics, and effectively support personalized management and intervention, further providing reference for the optimization of postoperative human motion assessment in orthopedics.…”
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STUDY ON PERCENTAGE ELONGATION AFTER FRACTURE OF PIPELINE STEEL BASED ON SMALL PUNCH TEST by REN ChenYi, CAO YuGuang, ZHEN Ying, ZU YiZhen, ZHANG Yu

“…Percentage elongation after fracture is a typical index to characterize the plasticity of the pipe,and the partial size of the pipe such as the welded joint can not carry out a single⁃axis tensile test,and it is necessary to complete the sampling and testing with the help of micro⁃specimen test methods.As a micro⁃specimen test method,the small punch test can be used to obtain a variety of mechanical property parameters.In the current study,the key parameters such as the maximum displacement,the corresponding displacement of the maximum load and the arc length after fracture are correlated to the percentage elongation after fracture of the material mainly through the empirical correlation method.However,the applicability of the above method to pipeline steel is not clear,making it impossible to directly apply to pipeline steel materials.In view of this problem,firstly,the applicability of the above⁃mentioned empirical association method based on different characteristic parameters to pipeline steel was discussed,and then a simplified calculation method for arc length after fracture was provided,and an empirical association formula based on the arc length after fracture for the pipeline steel was formed.On this basis,the thickness effect correction was carried out,and the empirical formula for determining the percentage elongation of pipeline steel material after fracture was established based on small thickness specimens and the reliability was verified.The results show that the maximum error of the percentage elongation after fracture determined by the empirical association formula based on the simplified calculation method of arc length after fracture is 5.08%,and the maximum error of the thickness effect correction formula for the calculation result of small thickness specimen is 5.53%,which proves that the established empirical association formula has good fitting effect and good applicability to pipeline steel,which can provide a theoretical basis for the calculation of percentage elongation after fracture in the local area of other steel grade pipelines.…”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…Abstract Accurate knowledge of crude oil pressure–volume–temperature (PVT) properties is essential for both industrial and academic applications. However, traditional experimental methods for determining these properties, particularly the solution gas–oil ratio (Rs), are time-intensive and costly. …”
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Assessing and adjusting for bias in ecological analysis using multiple sample datasets by Qingfeng Li

“…Both adjustment methods effectively mitigate this bias, with the measurement-error-adjusted estimator showing particular robustness in real-world applications. …”
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A Novel Demodulation Algorithm for Micro-Displacement Measurement Based on FMCW Sinusoidal Modulation by Zhen Xu, Yongjie Wang, Zhenqiang Li, Gaochao Li, Ke Li, Hongtao Zhang, Fang Li

“…The algorithm includes signal preprocessing, phase-locked amplification, error correction, and phase calculation. Experimental results show that the system achieves a measurement error standard deviation of 3.23 nanometres for static targets. …”
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Research on Maximum Likelihood Decoding Algorithm and Channel Characteristics Optimization for 4FSK Ultraviolet Communication System Based on Poisson Distribution by Li Kuang, Yingkai Zhao, Kangjian Li, Xingfa Wang, Linyi Li, Huishi Zhu, Weijie Zhang, Jianguo Liu

“…Both RS and LDPC codes significantly improve the Bit Error Rate (BER), with LDPC codes achieving superior gains under low SNR conditions. …”
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Fuzzy Regulator Design for Wind Turbine Yaw Control by Stefanos Theodoropoulos, Dionisis Kandris, Maria Samarakou, Grigorios Koulouras

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Robust Closed–Open Loop Iterative Learning Control for MIMO Discrete-Time Linear Systems with Dual-Varying Dynamics and Nonrepetitive Uncertainties by Yawen Zhang, Yunshan Wei, Zuxin Ye, Shilin Liu, Hao Chen, Yuangao Yan, Junhong Chen

“…Extending the ILC to complex real-world applications provides new insights and approaches.…”
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Analytic Evaluation of the Statistical Power of Accelerated Reliability Demonstration Tests by Philipp Mell, Martin Dazer

“…Such simulations are inadequate for real-world applications, mostly as their are computationally demanding. …”
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Intelligent Optimization Analysis of the Cholera Epidemic Model by Muath Awadalla, Tahir Nawaz Cheema, Ali Raza, Eugenio Rocha, Sharafat Ali, Muhammad Bilal

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Parametric optimization of the slot waveguide characteristics using a machine-learning approach by Yadvendra Singh, Suraj Jena, Harish Subbaraman

“…Thus, providing a useful ML methodology for efficient optimization of slot waveguide structures for future applications.…”
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Anomaly Detection and Root Cause Analysis in Cloud-Native Environments Using Large Language Models and Bayesian Networks by Diego Frazatto Pedroso, Luis Almeida, Lucas Eduardo Gulka Pulcinelli, William Akihiro Alves Aisawa, Ines Dutra, Sarita Mazzini Bruschi

“…Cloud computing technologies offer significant advantages in scalability and performance, enabling rapid deployment of applications. The adoption of microservices-oriented architectures has introduced an ecosystem characterized by an increased number of applications, frameworks, abstraction layers, orchestrators, and hypervisors, all operating within distributed systems. …”
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A novel numerical implementation for solving time fractional telegraph differential equations having multiple space and time delays via Delannoy polynomial by Ömür Kıvanç Kürkçü

“…The method is evaluated under some valuable error tests in thenumerical applications. To do this, a unique computer module is devised. …”
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Bayesian surrogate assisted neural network model to predict the hydrogen storage in 9-ethylcarbazole by Ahsan Ali, Mohammad Usman, Hafiz Muhammad Ali, Uzair Sajjad, Md. Abdul Aziz, M. Nasiruzzaman Shaikh

“…The error density curve centered around zero emphasized the model’s accuracy and uniform error distribution.…”
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