Multifrequency Subsurface Soil Moisture Retrieval for Forest Flows: A Case Study in Te Hiku, New Zealand by Yu-Huan Zhao, Delwyn Moller, Dean Meason, Mahta Moghaddam

“…In addition, comparing multifrequency and single P-band retrievals indicated a reduction in RMSE with the multifrequency approach, particularly noted during the Te Hiku dry season.…”
Get full text

A systematic review of using clinical decision support systems in corneal diseases by Farzad Ebrahimi, Haleh Ayatollahi, Kimia Zeraatkar

“…Conclusion The use of clinical decision support systems in corneal diseases leads to improve timely diagnosis, error reduction, and user satisfaction. However, further research is recommended to expand the use of new technologies such as artificial intelligence in the diagnosis of corneal diseases.…”
Get full text

Characteristics Analysis of Joint Acoustic Echo and Noise Suppression in Periodic Drillstring Waveguide by Li Cheng, Chang Jinfeng, Liu Zhao, Fan Shangchun, Ding Tianhuai

“…The results reveal that the proposed scheme can achieve a much lower error bit ratio over a specified acoustic isolation frequency range with a 30–40 dB reduction in the average noise level compared to traditional single-receiver scheme.…”
Get full text

Effects of digestate solid fraction fertilisation on yield and soil carbon dioxide emission in a horticulture succession by Carmelo Maucieri, Carlo Nicoletto, Caterina Caruso, Paolo Sambo, Maurizio Borin

“…Summer and spring crops did not show significantly different marketable yield among fertilisation treatments with an average value (±standard error) of 9.0±0.5, 9.9±1.2 and 51.3±6.4 Mg ha–1 for green bean, cauliflower and cabbage, respectively. …”
Get full text

Numerical analysis and design methodology for steel frames with fuse system by Xiaotong Peng, Zhen Wang, Chen Lin, Deshan Sun, Shengtao Lu, Tingting Wen

“…The proposed method for calculating lateral stiffness and ultimate load capacity shows an accuracy within a 10% margin of error compared to finite element analysis results.…”
Get full text

Increased virtual resolution for sub-pixel displacement algorithm optimization in digital image correlation for AISI 1020 steel by Silmara M. Cardoso, Maurício M. Ribeiro, Douglas S. Silva, Raí Felipe P. Junio, Sergio N. Monteiro, Jean da S. Rodrigues

“…The results showed a reduction in the error observed in synthetic images with increased magnification and good agreement with the deformation data obtained using the conventional extensometry technique.…”
Get full text

A Case Study on Integrating an AI System into the Fuel Blending Process in a Chemical Refinery by Abdul Gani Abdul Jameel

“…The results showed that the AI-integrated fuel blending system was able to produce fuel recipes with a mean absolute error (MAE) of 1.4 for the AKI. The obtained MAE is close to the experimental uncertainty of 0.5 octane. …”
Get full text

Experimental Study on Gas-Solid Heat Transfer Characteristics for the Vertical Waste Heat Recovery Using the Inverse Problem Method by Sizong Zhang, Zhi Wen, Yi Xing, Xunliang Liu, Hui Zhang, Yaxuan Xiong

“…But this effect will weaken with the increase in the particle size. Besides, the reduction of the particle size is conducive to improving the convective heat transfer intensity between the gas and solid. …”
Get full text

NSEA: A Resilient ERP Framework Integrating Quantum-Safe Cryptography and Neuro-Symbolic Reasoning for Industrial Adaptability by Yong Lin, Yadi Lin

“…In demand forecasting tasks, the hybrid reasoning model reduced mean absolute percentage error (MAPE) to 6.8% and resolved 89% of inventory stockout alerts within 15 minutes. …”
Get full text

A Reduced-Order Algorithm for a Digital Twin Model of Ultra-High-Voltage Valve-Side Bushing Considering Spatio-Temporal Non-Uniformity by Yongsheng He, Yongfu Li, Xiangcheng Li, Yanan Yuan, Fan Yang, Zongxiang Lu

“…This proposed method reduces the calculation time to 10% of the full-order simulation model while controlling the error range of the key research area less than 0.1%. …”
Get full text

Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

“…The calculation time was 5.62 s, which was an average reduction of 18.95%. Under the three geological disasters of earthquakes, mudslides, and landslides, the root mean square error of the model’s predictions was below 3 GPa, and the accuracy remained above 94%. …”
Get full text

Structural Response Evaluation of Krylov Subspace-Based Reduced-Order Model for Real-Time Structural Health Monitoring and Prediction of Container Ships by Kichan Sim, Byoung Wan Kim, Jeong Sam Han, Kangsu Lee

“…Numerical simulations showed that with 20 reduced orders, the structural response had a relative root mean squared error of 0.02% compared with the full-scale model, whereas computation time decreased by over 99%. …”
Get full text

An Improved Orthogonal Frequency Division Multiplexing System-Based Image Steganography Technique by Ali Y. Jaber, Ammar Al-Khafaji, Ahmed Mahfodh Mkhelf

“…Several methods can be used to estimate CFO to compensate for that change in OFDM, including measuring the error rate (BER) as an indicator of the effect of ICI. …”
Get full text

Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network by Yifei Chen, Yang Liu, Kunlin Yang, Lanhao Li, Chao Xiong, Jinling Wang

“…For 2015, the experimental results show a 21.9% RMSE reduction at low latitudes compared to the results of the iTransformer model. …”
Get full text

Application of Non-Linear System Model Updating Using Feature Extraction and Parameter Effects Analysis by John F. Schultze, François M. Hemez, Scott W. Doebling, Hoon Sohn

“…The first is a new approach at data reduction called feature extraction. This approach is an expansion of the `classic' update metrics to include specific phenomena or character of the response that is critical to model application. …”
Get full text

Combined compression and encryption of linear wireless sensor network data using autoencoders by N. Shylashree, Sachin Kumar, Hong Min

“…The method is based on the dimension reduction property of an autoencoder at the bottleneck section. …”
Get full text

Improved Visual SLAM Algorithm Based on Dynamic Scenes by Jinxing Niu, Ziqi Chen, Tao Zhang, Shiyu Zheng

“…The experimental results indicate that the improved SLAM algorithm, which boasts a reduction in absolute trajectory error (ATE) by approximately 97% compared to traditional static visual SLAM and about 20% compared to traditional dynamic visual SLAM, also exhibited a 68% decrease in computation time compared to well-known dynamic visual SLAM, thereby possessing absolute advantages in both positioning accuracy and operational efficiency.…”
Get full text

Location, Location, Location: The Power of Neighborhoods for Apartment Price Predictions Based on Transaction Data by Christopher Kmen, Gerhard Navratil, Ioannis Giannopoulos

“…The model performance was assessed using the mean absolute percentage error (MAPE), offering insights into their predictive accuracy for both short-term and long-term predictions. …”
Get full text

3-D Moving Target Localization in Multistatic HFSWR: Efficient Algorithm and Performance Analysis by Xun Zhang, Jun Geng, Yunlong Wang, Yijia Guo

“…In this paper, we develop a two-stage localization algorithm that first derives a weighted least-squares (WLS) coarse estimate and then performs an algebraic error reduction (ER) procedure to enhance accuracy. …”
Get full text

Identification of Control Parameters Using Taguchi Method for Hybrid Real-Binary Differential Evolution Algorithm and Its Applications in Electromagnetic Optimization by Wenchao Du, Jianhui Wang, Ruidong Wang, Xingning Jia, Guoche Qin, Chunshu Li

“…However, its optimization performance on different control parameter (CP) settings is not further studied, and the method to determine the values of CPs is more likely to use the trial-and-error method, which lacks universality on both unimodal and multimodal benchmarks. …”
Get full text