Monte Carlo Simulation of the Effect of Melanin Concentration on Light–Tissue Interactions in Reflectance Pulse Oximetry by Raghda Al-Halawani, Meha Qassem, Panicos A. Kyriacou

“…The results indicate that a one-algorithm-fits-all calibration approach may be insufficient, and root mean square errors (RMSEs) of at least 0.3956%, 0.9132%, and 8.4111% for light, moderate, and dark skin are observed when compared to transmittance calibration algorithms. …”
Get full text

An Assessment of Data from the Advanced Technology Microwave Sounder at the Met Office by Amy Doherty, Nigel Atkinson, William Bell, Andrew Smith

“…This suggests benefits beyond redundancy, associated with reducing already small analysis errors.…”
Get full text

Automatic Extraction Method of Phenotypic Parameters for <i>Phoebe zhennan</i> Seedlings Based on 3D Point Cloud by Yang Zhou, Yikai Qi, Longbin Xiang

“…To address the inefficiency and significant errors in the manual measurement of phenotypic parameters of <i>Phoebe zhennan</i> seedlings, a non-destructive automated method based on a 3D point cloud was proposed for extracting phenotypic parameters of stem and leaves following stem and leaf segmentation. …”
Get full text

Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning by Jianping Sun, Hantao Cao, Biao Geng, Zhaoping Tang, Xiaopeng Li

“…Therefore, the proposed model is both reasonable and applicable. The research results are of great significance to effectively deal with railway emergencies.…”
Get full text

Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information by Eul Young Lim, MinSung Hyun

“…Furthermore, we analyzed the legal liability challenges concerning potential AI anonymization errors. Reviewing the applicability of existing doctrines revealed legal uncertainties surrounding AI system failures. …”
Get full text

Real-time in-situ ultrasound monitoring of soft hydrogel 3D printing with subwavelength resolution by Teng Yang, Yuqi Jin, Lee Miller Smith, Narendra B. Dahotre, Arup Neogi

“…This unique monitoring process can facilitate the detection of minor errors/flaws during the printing. By analyzing the ultrasonic reflected signals in both time and frequency domains, transient printing information can be obtained from 3D printed soft hydrogels during the processes with a depth subwavelength resolution approaching 0.78 $$\lambda$$ λ . …”
Get full text

Improving the prediction of bitumen’s density and thermal expansion by optimizing artificial neural networks with Optuna and TensorFlow by Eli I. Assaf, Xueyan Liu, Sandra Erkens

“…Using Optuna for hyperparameter optimization, we ensure that the information extracted from MD simulations is utilized effectively.The resulting ANN models accurately reproduce MD-predicted densities, achieving R2>0.99, MSEs below 0.1 %, and maximum absolute errors below 5 % on test data. In addition to reducing computational cost, the models exhibit improved interpolation and extrapolation capabilities, enabling reliable predictions for properties, ranges, and compositions not explicitly simulated.Key aspects of our approach include: • Transitioning from RFRs to ANNs, improving generalization, interpolation, and predictive accuracy. • Automated hyperparameter optimization, leveraging Optuna to maximize model efficiency. • Expanding applicability, enabling property prediction for unseen compositions without additional MD simulations.…”
Get full text

Surface Quality Monitoring and Improvement for Dimensional Metrology in Inline CT by Denoising with Neural Networks and Fast Surface Quality Metric by Faizan Ahmad, Ahmed Baraka, César Cardona-Marin, Steffen Kieß, Dominik Wolfschläger, Robert H. Schmitt, Sven Simon

“…This metric demonstrates a strong correlation with measurement errors associated with surface quality degradation due to noise. …”
Get full text

Rapid Dataset-Free Self-Calibration for Heat Flux-Based Core Body Temperature Sensors by Yuki Hashimoto, Soto Tada, Yoshifumi Nishida

“…We validated our method through numerical simulations considering factors such as skin thickness and acceptable measurement errors. These simulations confirmed that the proposed approach reliably achieves adequate calibration without prior dataset construction. …”
Get full text

Deep Learning-Based Navigation System for Automatic Landing Approach of Fixed-Wing UAVs in GNSS-Denied Environments by Ying-Xi Lin, Ying-Chih Lai

“…The Global Navigation Satellite System (GNSS) is widely used in various applications of UAVs (unmanned aerial vehicles) that require precise positioning or navigation. …”
Get full text

Mechanism analysis and suppression of bus voltage low frequency oscillation of multi-VSC connected substation by CHENG Liang, DUAN Pengyang, SU Hongbang, MA Guisheng, TIAN Shengjuan, DAI Zheng

“…Focusing on low-frequency dynamics, each VSC and AC power grid were independently established, which is applicable to different quantities of grid-tied VSC with various control strategies. …”
Get full text

Total Least Squares In-Field Identification for MEMS-Based Inertial Measurement Units by Massimo Duchi, Edoardo Ida’

“…However, MEMS-based transducers are prone to significant, non-uniform and environmental-condition-dependent systematic errors, that require frequent re-calibration to be eliminated. …”
Get full text

Preference-based expensive multi-objective optimization without using an ideal point by Peipei Zhao, Liping Wang, Qicang Qiu

“…Incorrect estimation of the ideal point may lead to the search direction being far away from the ROI and also result in normalization errors for each objective. This paper proposes a preference-based surrogate-assisted algorithm, PMEGO, to overcome this issue. …”
Get full text

A Novel Adaptive Non-Singular Fast Terminal Sliding Mode Control for Direct Yaw Moment Control in 4WID Electric Vehicles by Jung Eun Lee, Byeong Woo Kim

“…Marked reductions in RMS and peak yaw rate errors, and effective chattering mitigation, highlight advancements in vehicle safety and stability.…”
Get full text

Robust pose estimation for non-cooperative space objects based on multichannel matching method by Zhaoxiang Zhang, Yuelei Xu, Jianing Song

“…Finally, a pose graph optimization algorithm with a dynamic keyframes pool is designed to estimate the target pose and reduce long-term drifting pose errors. A space object dataset including nine different types of non-cooperative targets with 11,565 samples is developed for model training and evaluation. …”
Get full text

Calculating the Power of Toric Intraocular Lens using Total Corneal Astigmatism Measured by a Swept-Source Optical Coherence Tomography-Based Device: An Observation which Changed o... by Sanjay Chaudhary, Alka Pandey, Anju Sharma, Rahil Chaudhary, Hema Mehra, Nishtha Khurana, Divya Vermani, Ritu Nagpal

“…Implanting a toric IOL solely based on the magnitude and axis of the anterior corneal astigmatism would have resulted in residual astigmatic errors. In this article we intend to elaborate on the available literature regarding the contribution of the posterior corneal surface toward the total corneal power. …”
Get full text

Issues in Using Self-Organizing Maps in Human Movement and Sport Science by Serrien B., Goossens M., Baeyens J-P.

“…In a first step, we systematically search the SOM parameter space for a set of options that produces significantly lower continuity, accuracy and combined map errors and we discuss the sensitivity of SOM-based analyses of coordination variability to changes in training parameters. …”
Get full text

Assessing yield stability of pearl millet and rice cropping systems across West Africa using long-term experiments and a modeling approach. by Louis Kouadio, Kristina Fraser, Ali Ibrahim, Kazuki Saito, Fatondji Dougbedji, Kalimuthu Senthilkumar

“…Both APSIM models exhibited a strong performance for grain yield, with Willmott's indices of agreement at 0.74 for pearl millet and 0.90 for rice, and absolute root mean square errors of 0.19 and 1.20 Mg ha-1, respectively. The models effectively reproduced yield stability patterns across a variety of management options including planting date, planting density, fertilizer treatments, and residue retention. …”
Get full text

Handling data sparsity via item metadata embedding into deep collaborative recommender system by Gopal Behera, Neeta Nain

“…The input and the parameters are simultaneously optimized and updated to minimize errors. The proposed strategy is evaluated against the benchmark techniques on two well-known datasets. …”
Get full text

Performance evaluation of large language models for the national nursing examination in Japan by Tomoki Kuribara, Kengo Hirayama, Kenji Hirata

“…Objectives Large language models (LLMs) are increasingly used in healthcare, with the potential for various applications. However, the performance of different LLMs on nursing license exams and their tendencies to make errors remain unclear. …”
Get full text