Enhanced Joint Heart and Respiratory Rates Extraction from Functional Near-infrared Spectroscopy Signals Using Cumulative Curve Fitting Approximation by Navid Adib, Seyed Kamaledin Setarehdan, Shirin Ashtari Tondashti, Mahdis Yaghoubi

“…Moreover, the low mean absolute error (0.18 s) in estimating the respiration period emphasizes the feasibility of the proposed method for RR estimation from fNIRS data. …”
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Design of an Immersive Basketball Tactical Training System Based on Digital Twins and Federated Learning by Xiongce Lv, Ye Tao, Yifan Zhang, Yang Xue

“…A novel three-dimensional “Skill–Creativity–Load” evaluation system revealed a 22% increase in unconventional tactical applications (<i>p</i> = 0.013) through the Tactical Creativity Index (TCI). …”
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Spatial Variability and Geostatistical Analysis of Soil Properties in the Diversified Cropping Regions of Bangladesh Using Geographic Information System Techniques by Md. Zulfikar Khan, Md. Rafikul Islam, Ahmed Bin Abdus Salam, Tama Ray

“…Also, these prototype maps would be helpful for future nutrient and fertilizer applications management, including a site-specific condition to not only reduce the cost of input management but also prevent any environmental hazard. …”
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Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models by Ahmad Alsaber, Anurag Satpathi, Mariam Alsabah, Parul Setiya

“…The ANN model demonstrated superior performance with the highest R2 values and the lowest error metrics, establishing it as the most reliable model for potato yield prediction. …”
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Validation of the NISAR Multi-Scale Soil Moisture Retrieval Algorithm across Various Spatial Resolutions and Landcovers Using the ALOS-2 SAR Data by Preet Lal, Gurjeet Singh, Narendra N. Das, Rowena B. Lohman

“…High-resolution soil moisture data are essential for numerous geophysical applications, enabling improved decision-making in environmental and resource management. …”
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Partial Differential Equations-Based Iterative Denoising Algorithm for Movie Images by Pingli Sun, Chenxia Wang, Min Li, Lanqi Liu

“…Film video noise can usually be defined as the error information visible on the video image, caused by the digital signal system. …”
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A Retrospective Study to Evaluate the Quality Assurance of Thyroid Profile In A Tertiary Care Clinical Biochemistry Laboratory by Harish Rangareddy, Shashidhar Kurpad Nagaraj, Prabhavathi Kannala

“…This methodology is applicable wherever the outcome of a process needs measurement. …”
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A comprehensive review on safe reinforcement learning for autonomous vehicle control in dynamic environments by Rohan Inamdar, S. Kavin Sundarr, Deepen Khandelwal, Varun Dev Sahu, Nitish Katal

“…Reinforcement learning (RL) presents a promising approach for AV control, as it utilizes trial and error to enable optimal decision-making. However, traditional RL algorithms are unsuitable for safety-critical applications, as they may explore unsafe actions, potentially resulting in accidents. …”
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Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

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Refining maritime Automatic Speech Recognition by leveraging synthetic speech by Christoph Martius, Emin Çağatay Nakilcioğlu, Maximilian Reimann, Ole John

“…Specifically, our approach yields an absolute improvement over the pre-trained baseline of 13.46% Word-Error-Rate and an increase of 41.57% recall for vessel names and 38.65% recall for locations. …”
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Evaluation of nurses’ perspectives on the design and use of assistant nurse robots in obstetrics and neonatal care: a mixed-method study by Özen İnam, Samet Okay

“…Clinical trial number Not applicable.…”
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MR-link-2: pleiotropy robust cis Mendelian randomization validated in three independent reference datasets of causality by Adriaan van der Graaf, Robert Warmerdam, Chiara Auwerx, eQTLGen Consortium, Urmo Võsa, Maria Carolina Borges, Lude Franke, Zoltán Kutalik

“…Abstract Mendelian randomization (MR) identifies causal relationships from observational data but has increased Type 1 error rates (T1E) when genetic instruments are limited to a single associated region, a typical scenario for molecular exposures. …”
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Optimization of fractional PI controller parameters for enhanced induction motor speed control via indirect field-oriented control by I. I. Alnaib, A. N. Alsammak

“…Indirect Field Oriented Control (IFOC) for IM drives has proven beneficial for various industrial applications, particularly electric vehicle propulsion. …”
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Experimental Study on Seismic Performance of Flexural-shear Replaceable Energy Dissipators in the Beam-column Joint by Gang LIANG, Shumin LI, Jianan YANG, Yunhe LIU, Junlong LU, Qing TIAN

“…The strength equation, which considers the effects of flexure and shear strength, accurately predicts the yield and ultimate load of the energy dissipators. The average error between the predicted and test results is less than 5%. …”
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Recognition of Concrete Surface Cracks Based on Improved TransUNet by Xuwei Dong, Yang Liu, Jinpeng Dai

“…Experiments show that the maximum error between the real values and detection results is about 5%. …”
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Efficient Numerical Quadrature for Highly Oscillatory Integrals with Bessel Function Kernels by Guo He, Yuying Liu

“…Furthermore, we conduct an error analysis of the proposed methods and validate their effectiveness through numerical experiments. …”
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Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“…This work provides a scalable, statistically grounded methodology for UQ in CT reconstruction, offering enhanced reliability for industrial applications. …”
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Effect of Wheel Polygonalization on the Dynamic Characteristics of Gear-Transmission Systems of Urban Railway Vehicles by Danping Xu, Jinhai Wang, Jianwei Yang, Yi Wu, Xiaorui Wen

“…Therefore, in engineering applications, it is essential to consider the phase difference of wheel polygonization to alleviate excessive gear-meshing forces and ensure stable transmission performance. …”
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Robust Tracking Control of Underactuated UAVs Based on Zero-Sum Differential Games by Yaning Guo, Qi Sun, Quan Pan

“…First, by introducing a virtual position controller, we innovatively decouple the UAV dynamics into independent position and attitude error subsystems, transforming the robust tracking problem into two zero-sum differential games. …”
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A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE by Van-Hung Le, Thi-Ha-Phuong Nguyen

“…Visual SLAM and VOE are used in many applications, such as robot systems, autonomous mobile robots, assistance systems for the blind, human–machine interaction, industry, etc. …”
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