Water Level Variation Monitoring in East Lake, Wuhan Based on Satellite Altimetry by LIU Huo-sheng, WANG Hai-hong, YU Qian-hui, LU Liang, QIN Peng-cheng, LIU Yi-bing

“…[Objectives] Satellite altimetry has become a crucial method for monitoring lake water levels, yet significant challenges remain in its application to small lakes, particularly in complex urban environments. …”
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Reflectivity Thresholds and Optical Loss Predictions in Resonant Photonic Cavities by Paulo Henrique Dias Ferreira, Douglas Ramos do Amaral, Vinicius Tribuzi, John Fredy Ricardo Marroquin, Jorlandio Francisco Felix, Filippo Ghiglieno

“…For reflectivity below a certain threshold, measurement errors arise, while excessively high reflectivity can reduce fringe visibility and introduce detector sensitivity issues. …”
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Enhancing identity and access management using Hyperledger Fabric and OAuth 2.0: A block-chain-based approach for security and scalability for healthcare industry by Shrabani Sutradhar, Sunil Karforma, Rajesh Bose, Sandip Roy, Sonia Djebali, Debnath Bhattacharyya

“…Our statistical analysis demonstrates that the proposed approach can efficiently and securely manage patient identity and access, potentially transforming the healthcare industry by enhancing data interoperability, reducing fraud and errors, and improving patient privacy and security. …”
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Research on High-Precision Time–Frequency Phase-Synchronization Transmission Technology for Free-Space Optical Communication Systems on Mobile Platforms by Fengrui Liu, Ning Sun, Jia Wei, Yingkai Zhao, Xingfa Wang, Weijie Zhang, Jianguo Liu

“…This paper proposes a free-space time–frequency phase (TFP)-synchronization transmission architecture based on optoelectronic hybrid technology, addressing the high-precision TFP synchronization and high-speed communication requirements between mobile platforms in distributed collaborative positioning and other applications. The proposed scheme utilizes symmetric free-space optical (FSO) links to effectively suppress drift errors, integrating the high bandwidth of optical links and the high stability of microwave links, enabling one-to-many networking synchronization between mobile platforms. …”
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Identification of Flow Ｒegimes Based on Adaptive Learning and Additional Momentum BP Neural Network for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, FENG Qi-shuai

“…In this paper based on the analysis of deficiency of BP neural network，for reducing the error oscillation，the adaptive learning rate adjustment factor and the additional momentum is introduced. …”
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Novel Node Localization Algorithm Based on Nonlinear Weighting Least Square for Wireless Sensor Networks by Fu Xiao, Mingtan Wu, Haiping Huang, Ruchuan Wang, Sudan Wang

“…Regarding ranging equation error-weighted sum as a whole, this method starts with the initial iteration point of stepwise refinement to explore the optimal solution and further reduces the positioning computational complexity by the simplification of the Taylor equation. …”
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New energy efficient management approach for wireless sensor networks in target tracking using Vortex Search Algorithm by Shayesteh Tabatabaei

“…The performance of this method is compared and evaluated with the Tracking-45-Degree-Vectors method in the OPNET simulator in terms of energy consumption, data transmission delay, media access delay, throughput, signal-to-noise ratio, and packet error rate. The results demonstrate that the proposed method outperforms the Tracking-45-Degree-Vectors method in mobile target tracking.…”
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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…The fluctuations in the actual VD furnace refining endpoint molten steel temperature similarly impact the prediction errors of the MM–BO–XGBoost model and the other three existing models. …”
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Attention-CARU With Texture-Temporal Network for Video Depth Estimation by Sio-Kei Im, Ka-Hou Chan

“…Besides, to improve the detection of moving objects in the depth map, an advanced loss function is introduced to further penalise the depth estimation error of moving objects. Experimental tests on the KITTI datasets show that this work achieves competitive performance in depth estimation, demonstrating good resultant capabilities and applicability to a variety of real-time scenarios.…”
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Research on an Online Intelligent Monitoring System for Resistance Spot Welding Based on Wireless Communication by Shuwan Cui, Xuan Zhou, Baoyan Zhang, Leigang Han, Bin Xue, Feiyang Liu

“…The experimental results demonstrated measurement accuracies within ±0.49% for current, ±0.25% for voltage, and 3.72% average relative error for barometric pressure with stable operational deviations (0.017–0.024 MPa).…”
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Aero Engine Fault Diagnosis Using an Optimized Extreme Learning Machine by Xinyi Yang, Shan Pang, Wei Shen, Xuesen Lin, Keyi Jiang, Yonghua Wang

“…It uses QPSO to select optimal network parameters including the number of hidden layer neurons according to both the root mean square error on validation data set and the norm of output weights. …”
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Solving the Modified Regularized Long Wave Equations via Higher Degree B-Spline Algorithm by Pshtiwan Othman Mohammed, Manar A. Alqudah, Y. S. Hamed, Artion Kashuri, Khadijah M. Abualnaja

“…Moreover, we have calculated the numerical conserved laws and error norms L2 and L∞ to demonstrate the efficiency and accuracy of the method. …”
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A Multiband Transparent Transponder Based on Reconfigurable Optical Frequency Combs for Cross Connection of Intersatellite and Satellite Ground by Bin Wu, Hongxi Yin, Anliang Liu, Xiuyang Ji, Qingchun Zhao

“…The experimental results reveal our system feasibility, and the bit error rate of recovered baseband data is less than 10^–9. …”
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Design and Prototype Verification of a 3-meter Aperture Wrap-rib Reflector by ZHANG Han, YAN Zhongxi, XIANG Ping, WU Minger

“…After four deployments and three days of placement, the surface error increases slightly but remains below the design target value of 1 mm. …”
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Structural Behaviour of Concrete Deep Beams Reinforced with Aluminium Alloy Bars by Kagan Sogut

“…The design formulations gave accurate predictions with an error of 3%.…”
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From Fresh to Dried: Evaluating Drying Kinetics of Sultana and Besni Grapes by Mehmet Başlar

“…When evaluating the coefficient of determination (R2), chi-square (χ2), and root-mean-square error (RMSE) values for the dehydrated grapes, the results reveal that all three models provided a reasonable fit for the experimental data, with the Page model proving to be the best fit. …”
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A computational dynamic systems model for in silico prediction of neural tube closure defects by Job H. Berkhout, James A. Glazier, Aldert H. Piersma, Julio M. Belmonte, Juliette Legler, Richard M. Spencer, Thomas B. Knudsen, Harm J. Heusinkveld

“…This complex process is susceptible to perturbation by genetic errors and chemical disruption, which can induce severe neural tube defects (NTDs) such as spina bifida. …”
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A Matrix Approach by Convolved Fermat Polynomials for Solving the Fractional Burgers’ Equation by Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori, Naher Mohammed A. Alsafri, Amr Kamel Amin, Ahmed Gamal Atta

“…A comprehensive study is performed to analyze the error of the proposed convolved Fermat expansion. …”
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A novel validation of satellite soil moisture using SM2RAIN-derived rainfall estimates by Son K. Do, Thanh-Nhan-Duc Tran, Manh-Hung Le, Manh-Hung Le, John Bolten, Venkataraman Lakshmi

“…In this study, we evaluated whether SM2RAIN algorithm and rain gauges, which are more abundant and readily available than in situ SM, can be used to validate satellite-based SMAP SM estimates. Since errors in SMAP SM propagate to SMAP-derived rainfall, the skills of SM2RAIN might be able to provide insights on the accuracy of SMAP SM observations. …”
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Prediction of Weld Geometry in Laser Overlap Welding of Low-Carbon Galvanized Steel by Kamel Oussaid, Narges Omidi, Abderrazak El Ouafi, Noureddine Barka

“…Results demonstrated a strong correlation between ANN predictions and experimental measurements, with R² values exceeding 95% for WS and DOP and 92% for WI, and mean errors below 7%. A comparative analysis between ANN, FEM, and experimental data confirmed the model’s reliability across different welding conditions. …”
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