Design of an Immersive Basketball Tactical Training System Based on Digital Twins and Federated Learning by Xiongce Lv, Ye Tao, Yifan Zhang, Yang Xue

“…The four-tier architecture (sensing layer, digital twin layer, federated layer, and interaction layer) synthesizes multimodal data (motion trajectories and physiological signals) with Multi-Agent Reinforcement Learning (MARL) to enable virtual–physical integrated tactical simulation and real-time error correction. Experimental results demonstrate that the experimental group achieved 35.2% higher tactical execution accuracy (TEA) (<i>p</i> < 0.01), 1.8 s faster decision making (<i>p</i> < 0.05), and 47% improved team coordination efficiency compared to the controls. …”
Get full text

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

“…According to cross-validation results, for most soil properties, the kriging interpolation method provided the least interpolation error. The generated maps of soil properties that indicate soil nutrient status over the study region could be helpful for farmers and decision-makers to enhance site-specific nutrient management. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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

“…Qualitative analysis findings reveal positive perceptions regarding the robots’ potential to reduce error rates, enhance patient safety, and alleviate workload. …”
Get full text

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. …”
Get full text

Optimization of fractional PI controller parameters for enhanced induction motor speed control via indirect field-oriented control by I. I. Alnaib, A. N. Alsammak

“…The CFOPI controller demonstrates superiority over the RFOPI controller, as evidenced by the lower integral time absolute error in motor speed tracking during the driving cycle 2.1004 for the CFOPI controller compared to 2.1538 for the RFOPI controller. …”
Get full text

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%. …”
Get full text

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%. …”
Get full text

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. …”
Get full text

Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“… Computed Tomography (CT) reconstruction is an important inverse problem in industrial imaging, requiring robust methods to address different sources of error in the data and model. Among the various reconstruction approaches that tackle different challenges in CT modeling [1], such as limitations in the data, statistical methods are known for their ability to model various properties [2, 3] of the input data and assess their impact on the reconstruction outcome [4]. …”
Get full text

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

“…The simulation results reveal that as the amplitude of wheel polygonization and vehicle speed increase, the vertical wheel–rail force, gear-meshing force, and dynamic transmission error (DTE) escalate. Furthermore, an increase in the order of wheel polygonization leads to a rise in the vertical wheel–rail force. …”
Get full text

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. …”
Get full text

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

“…The comparison results of VOE on the TQU-SLAM benchmark dataset range from 16.97 m to 57.61 m. This is a huge error compared to the VOE methods on the KITTI, TUM RGB-D SLAM, and ICL-NUIM datasets. …”
Get full text

Arabic version of the patient education materials assessment tool (PEMAT): translation and validation by Marwan A. Alrasheed, Aliyah Almobarak, Hisham M. Alfayyadh, Abdulelah Alkahtani, Bander Balkhi

“…Pearson correlation and the Standard Error of Measurement (SEM) were also calculated. …”
Get full text