Image-to-Point Cloud Registration using Camera Motion Generation and Monocular Depth Estimation by M. Kamali, B. Atazadeh, A. Rajabifard, Y. Chen

“…Image-to-point cloud (I2P) registration plays a vital role in applications requiring accurate spatial alignment between 2D images and their corresponding 3D point clouds. …”
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Direction of Arrival Estimation Algorithm for Underwater Distributed Sources Based on Deep Neural Network by Yinian LIANG, Jie LI, Fangjiong CHEN, Fei JI, Hua YU

“…In the range of full coherence coefficients, the proposed methods all show better estimation performance, which proves their applicability in complex underwater environments.…”
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Semi-automated layer-by-layer biofabrication using rotational internal flow layer engineering technology by Gwyneth West, Sneha Ravi, Jamie A Davies, Ian Holland

“…Semi-automated dosing reduced the manual operations in the RIFLE process, reducing the workload on researchers and minimising the opportunity for human error. Further opportunity exists for higher levels of automation in the overall process, particularly needed in the preparation of cell-hydrogel suspensions, a common manual labour-intensive process in many biofabrication technologies.…”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Extensive Monte Carlo simulations demonstrate that our approach outperforms conventional estimation methods in terms of bias and mean squared error as well as in estimating the incubation period. …”
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Electromagnetic coil optimization for reduced Lorentz forces by Siena Hurwitz, Matt Landreman, Paul Huslage, Alan Kaptanoglu

“…The relationship between forces and fast particle losses is mediated by the normal field error. Coil forces can be lowered to a threshold with minimal deterioration to losses. …”
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Numerical solution and stability analysis of non-Newtonian hybrid nanofluid flow subject to exponential heat source/sink over a Riga sheet by Yasmin Humaira, Bossly Rawan, Alduais Fuad S., Al-Bossly Afrah, Saeed Anwar

“…The present findings have shown the best correlation with the previous published studies. The relative error between the published and present study at Pr = 10 (Prandtl number) is 0.00046%, which is gradually reduced up to 0.00202% with the variation of Pr = 0.7. …”
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A seamless LiDAR/IMU/RTK fused localization method for UAV-Based bridge inspection by A. Liang, Y. Pan, Y. Huo, Q. Li, B. Zhou, Z. Chen

“…In open scenes (such as the top and sides of a bridge), high-precision absolute localization is achieved by fusing IMU and RTK through an iterative error-state Kalman filter (IESKF). In occluded environments (such as the underside of a bridge), an IMU/LiDAR odometry is used to recursively estimate the UAV&rsquo;s pose. …”
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A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression by Tingkai Hou, Zonghong Zhou, Yonggang Zhang, Jing Zhang

“…The results demonstrate that the DE-GWO-SVR method achieves the best results but requires the shortest inversion time.ResultsThe inversed RMMPs fall within acceptable ranges, while the error between the forward and monitored displacements is less than 10%, with a maximum deviation of 9.52%. …”
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Assessing Atopic Dermatitis Control in Chinese Patients: Validation of the Chinese Version of Recap of Atopic Eczema Questionnaire (RECAP) and an Investigation into Its Interpretab... by Junfen Zhang, Shunmin Zhu, Liyan Yuan, Xiaoling Yu, Shiqi Ling, Jiao Zhang, Bin Yang

“…Construct validity was evaluated through hypothesis testing, while reliability was assessed using standard error of measurement (SEMagreement) and intraclass correlation coefficient (ICCagreement). …”
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Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization by Prabira Kumar Sethy, Laxminarayana Korada, Santi Kumari Behera, Akshay Shirole, Rajat Amat, Aziz Nanthaamornphong

“…Our method is validated using the ''Severstal: Steel Defect Detection'' dataset from Kaggle, achieving a validation accuracy of 89.1 % and a test accuracy of 90.6 %, with a classification error of 0.10934. Additionally, the area under the curve (AUC) for each class exceeds 0.95 in both the validation and test sets, demonstrating excellent discriminatory power. …”
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Transforming gotu kola (Centella asiatica L.) chemical properties inspection through advanced spectroscopy technology by Kusumiyati Kusumiyati, Ine Elisa Putri, Yuda Hadiwijaya, Agus Arip Munawar

“…Asiaticoside obtained values of Rcal (0.92), root mean square error of the calibration (RMSEC) (78.23), Rcv (0.88), and RPD (2.14). …”
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Design and Research of Large-Scale Curvature Adjustment Optical Mirror by Kailun Zhao, Liuxing Song, Dewei Sun, Qiaolin Huang, Rongguang Guo, Guoliang Tian, Jinping He

“…Simulation outcomes reveal that a 0–15 μm variation in the actuators results in a curvature radius change of 178.45 mm in the segmented mirror, with a highly linear correlation, achieving a radius of curvature reconfiguration of the primary mirror in the optical system from 9100 mm to 9000 mm, with a residual surface figure error of less than 10 nm. The experimental results indicate that within a 0–15 μm closed-loop stroke range, the curvature radius of the segmented mirror can be adjusted by 146.89 mm, fulfilling the design objective of a lightweight mirror with a significantly adjustable curvature radius. …”
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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

“…However, it reveals notable biases and underrepresented variability during transitional seasons. Taylor diagrams and error metrics further emphasize ERA5’s challenges in capturing localized dynamics influenced by land-sea interactions. …”
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Wireless Protocol-Based Control of Smart Electric Drive Using Sampled Time Secure Communication of Chaotic Systems by Nhat Quang Dang, Huyen Chau Phan Thi, Quang Dich Nguyen, van Nam Giap

“…The Lyapunov stability theory is applied to rigorously analyze the system&#x2019;s stability, confirming the reliability of the proposed approach in wireless motor control applications. The system is experimentally validated on ESP32 microcontrollers, demonstrating fast response times, minimal steady-state error, and real-time secure motor control. …”
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The Study of Critical Heat Flux in Upflow Boiling Vertical Round Tube under High Pressure by Wei Liu, Jianqiang Shan, Shinian Peng, Guangming Jiang, Yu Liu

“…In this study, based on the CHF experiment database of upflow boiling in vertical round tube from 15MPa to the vicinity of the critical pressure of water, the Katto, Bowring, Hall-Mudawar, Alekseev correlations, and Groeneveld LUT-2006 are comparatively studied. With an error analysis of the predicted CHF to the experiment database, the prediction capability and the applicability of these correlations are evaluated and the parametric trends of CHF varying with pressure from 15MPa to critical pressure are proposed. …”
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Advanced intelligent techniques for modeling oxygen storage in zeolite-based porous materials by Arefeh Naghizadeh, Ahmadreza Jafari-Sirizi, Behnam Amiri-Ramsheh, Saeid Atashrouz, Dragutin Nedeljkovic, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh

“…The findings demonstrated the superior performance of the GRNN model, achieving an exceptional root mean square error of 0.03 and a coefficient of determination (R2) of 0.9991, outperforming the other techniques. …”
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Photovoltaic Power Estimation for Energy Management Systems Addressing NMOT Removal with Simplified Thermal Models by Juan G. Marroquín-Pimentel, Manuel Madrigal-Martínez, Juan C. Olivares-Galvan, Alma L. Núñez-González

“…All necessary input data are provided for the analysis, and the accuracy of experimental results is validated using appropriate error metrics.…”
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Defect Prediction in CWDM Optical Modules Using Multimodal Learning by Kyu-Jeong Choi, Jia Yang, Botambu Collins, Sung-Geun Kim, Do-Jin Lim, Jin-Taek Seong

“…Traditional inspection methods, such as manual video screening and optical testing, are labor-intensive, prone to human error, and often fail to identify underlying defect patterns, thereby necessitating multiple rounds of testing. …”
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An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks by Manikandan Rajagopal, Ramkumar Sivasakthivel, G. Anitha, Krishna Prakash Arunachalam, K. Loganathan, Mohamed Abbas, Shaeen Kalathil, K. Srinivas Rao

“…Datasets like Los-loop and SZ-taxi datasets are validated by experiments which highlights the impact of the proposed MTH-QGNN model, acquiringamean value RMSE of 4.5 and MAE of 3.5, ensuring minimal prediction error. MTH-QGNN model constantly sustained accuracy above 80% and R2 values exceeding 83%, representing robust predictive trustworthiness. …”
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Clinical performance evaluation of the SiJoy GS1 continuous glucose monitor during oral glucose tolerance testing in healthy adults by Wanyi Zhao, Wanyi Zhao, Wanyi Zhao, Wanyi Zhao, Wanyi Zhao, Dongmei Zheng, Dongmei Zheng, Dongmei Zheng, Dongmei Zheng, Dongmei Zheng, Xianbao Shi, Feng Xu, Feng Xu, Lin Chen, Lin Chen, Xingmei Liu, Xingmei Liu, Xingmei Liu, Xingmei Liu, Xiaolong Jin, Xiaolong Jin, Qingbo Guan, Qingbo Guan, Qingbo Guan, Qingbo Guan, Qingbo Guan, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu

“…SiJoy GS1 sensors exhibit an excellent performance of consistency with 96.6% at 20/20% and MARD of 8.01(± 4.9) % at the fasting phase. The consensus error grid results showed 89.22% of all values fell within Zone A, and 100% of values were in Zone A+B collectively. …”
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