Diameter at Breast Height (DBH) Estimation and Stem Cross-Section Shape Analysis of Eucalyptus Trees Using LiDAR Data after Noisy Removal by Matheus Ferreira da Silva, Renato Cesar dos Santos, Antonio Maria Garcia Tommaselli, Mauricio Galo

“…Based on the proposed method, the DBH estimated from TLS data showed Root Mean Square Error (RMSE) of 0.7 cm for trees with a cross-section considered as circular and a RMSE of 3.7 cm for cross-sections considered as non-circular. …”
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Global reconstruction of gridded aridity index and its spatial and temporal characterization from 2003 to 2022 by Jiaying Lu, Ling Yao, Jun Qin, Hou Jiang, Chenghu Zhou

“…Validation against the Global Surface Summary of the Day database yields biases, root mean squared errors and coefficients from −0.04 to 0.02, 0.19 to 0.86, and 0.62 to 0.83 across different continents. …”
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Industrial robot trajectory measurement by target tracking and 3D coordinate measurement in large-scale assembly cell by M. H. Yang, M. A. Isa, Z. Wang, D. T. Branson III, S. Piano

“…Ensuring precise and accurate six-degree-of-freedom (6 DoF) positioning of industrial robots is crucial in large-scale automotive and aerospace assembly cells, where even slight positional errors can compromise product quality and production efficiency. …”
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NeRF View Synthesis: Subjective Quality Assessment and Objective Metrics Evaluation by Pedro Martin, Antonio Rodrigues, Joao Ascenso, Maria Paula Queluz

“…This study found that errors in camera pose estimation can result in spatial misalignments between synthesized and reference images, which need to be corrected before applying an objective quality metric. …”
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Developing advanced datadriven framework to predict the bearing capacity of piles on rock by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Fabián Danilo Reyes Silva, José Luis Allauca Palta, José Luis Llamuca Llamuca, Siva Avudaiappan

“…The Taylor diagram and statistical evaluations demonstrated the superiority of the proposed models in capturing complex nonlinear relationships, with high correlation coefficients and low root mean square errors indicating robust predictive capabilities. …”
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High-temporal-resolution ERT characterization for vegetation effects on soil hydrological response under wet-dry cycles by Wei Yan, Weiming Xu, Taosheng Huang, Ping Shen, Wan-Huan Zhou

“…The findings are compared with the Normalized Difference Vegetation Index (NDVI), a common indicator for vegetation quantification, to reveal potential spatial errors in remote sensing data. In addition, this study provides discussions on the potential applications and future directions. …”
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Metaheuristic Optimization for Robust RSSD-Based UAV Localization with Position Uncertainty by Yuanyuan Zhang, Jiping Li, T. Aaron Gulliver, Huafeng Wu, Guangqian Xie, Xiaojun Mei, Jiangfeng Xian, Weijun Wang, Linian Liang

“…Nonetheless, environmental factors and inherent stability issues can lead to node positional errors in UAV networks, compounded by inaccuracies in transmit power estimation, complicating the effectiveness of signal strength-based localization methods in achieving high accuracy. …”
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Time-frequency analysis and autoencoder approach for network traffic anomaly detection by Ruchira Purohit, Satish Kumar, Sameer Sayyad, Ketan Kotecha

“…It conducts time- frequency analysis of pre-processed network traffic data such as packet size and duration, extracting meaningful features fed into an autoencoder. Reconstruction error deviations indicate anomalies like spikes or irregular oscillations. • This hybrid approach demonstrates good scalability for the real-time implementation of cybersecurity measures. …”
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The use of modern military technologies in the light of the law of weapons and the law of targeting by Behzad Seyfi

“…The leap of these technologies for exploiting military purposes is a common challenge for the application and interpretation of the law of armed conflict. …”
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Extension of an Eighth-Order Iterative Technique to Address Non-Linear Problems by Higinio Ramos, Ioannis K. Argyros, Ramandeep Behl, Hashim Alshehri

“…The technique can be used to extend the applicability of other methods along the same lines. …”
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Detection of Internal Defects in Concrete Using Delay Multiply and Sum-Enhanced Synthetic Aperture Focusing Technique by Feng Li, Sheng-Kui Di, Jing Zhang, Dong Yang, Yao Pei, Xiao-Ying Wang

“…Compared with the conventional SAFT, the proposed method improves image contrast by approximately 40%, with clearer defect boundaries and a vertical positioning error of less than ±5 mm. This demonstrates the method’s promising potential for practical applications in internal defect visualization of concrete structures.…”
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A framework based on mechanistic modelling and machine learning for soil moisture estimation by Sabri Kanzari, Sana Ben Mariem, Samir Ghannem, Safouane Mouelhi, Hiba Ghazouani, Bechir Ben Nouna

“…Abstract Soil moisture has many important applications in subsurface water movement. Methods for measuring soil moisture are either destructive or require prior calibration. …”
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Strategy to improve the confidence level of qualitative screening by high resolution mass spectrometry: A case study of mycotoxins in maize by Yan Gao, Mengyu Feng, Xiuqin Li, Yan Zhang, Jinglei Hu, Kangcong Li, Jianhua Duan, Qinghe Zhang

“…To ensure the sensitivity and applicability of the method, 41 mycotoxin standards were applied for method optimization. …”
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Evaluation of in-house loop-mediated isothermal amplification for tuberculosis diagnosis compared with Xpert MTB/RIF by Charity Habeenzu, Chie Nakajima, Eddie Solo, Precious Bwalya, Kiichi Kajino, Mari Miller, Youichi Kurosawa, Victor Mudenda, Lackson Kasonka, Yasuhiko Suzuki, Takashi Matsuba

“…This indicated the superiority of the Xpert MTB/RIF kit; however, mechanical errors during sample processing and the insufficient quantity of samples by Xpert MTB/RIF kit occurred at 2.0% and 19.7%, respectively, comparing to the 100% accessibility of in-house LAMP. …”
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Transition to a Circular Bioeconomy in the Sugar Agro-Industry: Predictive Modeling to Estimate the Energy Potential of By-Products by Yoisdel Castillo Alvarez, Reinier Jiménez Borges, Gendry Alfonso-Francia, Berlan Rodríguez Pérez, Carlos Diego Patiño Vidal, Luis Angel Iturralde Carrera, Juvenal Rodríguez-Reséndiz

“…The model’s architecture includes four residual biomass flows and bioenergy conversion factors applicable to electricity generation. It is validated using national statistical series from 2000 to 2018 and presents relative errors below 5%. …”
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Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Akshit Samadhiya, Ahmad Taher Azar, Mohamed Tounsi, Naglaa F. Soliman, Walid El-Shafai

“…Comprehensive performance assessments under various noise conditions and challenging scenarios demonstrate that this methodology significantly surpasses existing state-of-the-art methods in terms of accuracy, precision, recall, F1-score, and reduced misclassification errors. Furthermore, real-time testing using the OPAL-RT platform confirms the practical applicability, reliability, and robustness of the proposed system. …”
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Automatic Landslide Detection in Gansu, China, Based on InSAR Phase Gradient Stacking and AttU-Net by Qian Sun, Cong Li, Tao Xiong, Rong Gui, Bing Han, Yilun Tan, Aoqing Guo, Junfeng Li, Jun Hu

“…Therefore, based on the current technique of using differential interferogram phase gradient stacking to avoid phase unwrapping errors, a landslide phase gradient dataset has been constructed. …”
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Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics by Marko M. Kostić, Željana Grbović, Rana Waqar, Bojana Ivošević, Marko Panić, Antonio Scarfone, Aristotelis C. Tagarakis

“…The Mask R-CNN model demonstrated the highest recognition reliability at 96.7%, excelling in detecting seeding errors such as misses and doubles, as well as in evaluating the quality of feed index and precision when compared to ground-truth data. …”
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A Review of Research on Cloud Detection Methods for Hyperspectral Infrared Radiances by Zhuoya Ni, Mengdie Wu, Qifeng Lu, Hongyuan Huo, Chunqiang Wu, Ruixia Liu, Fu Wang, Xiaoying Xu

“…Cloud contamination is a critical source of errors in the data assimilation of hyperspectral infrared radiance (IR). …”
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Wideband and Ambiguous-Free RF Channelizer Assisted Jointly by Spacing and Profile of Optical Frequency Comb by Xuankun Lu, Wei Pan, Xihua Zou, Wenlin Bai, Peixuan Li, Lianshan Yan, Caihong Teng

“…For civil and military applications, the ability to instantaneously capture and process wideband RF (radio-frequency) signal is of great importance. …”
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