Delayed Bilateral Teleoperation of Mobile Manipulators With Hybrid Mapping: Rate/Nonlinear-Position Modes by FERNANDO A. CHICAIZA, EMANUEL SLAWINSKI, VICENTE MUT

“…Mobile manipulators find versatile applications across various fields, leveraging the combination of autonomous functionalities and bilateral teleoperation schemes to enhance the effectiveness of these robotic mechanisms. …”
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High-Precision prediction of curling trajectory multivariate time series using the novel CasLSTM approach by Yanan Guo, Jing Jin, Hongyang Zhao, Yu Jiang, Dandan Li, Yi Shen

“…Notably, the model demonstrates astounding accuracy, achieving sub-1cm average errors over 30m trajectories, outperforming vanilla LSTM by 41.8%. …”
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Improved Design of an Eddy-Current Speed Sensor Based on Harmonic Modeling Technique by Duy-Tinh Hoang, Manh-Dung Nguyen, Yong-Joo Kim, Anh-Tuan Phung, Kyung-Hun Shin, Jang-Young Choi

“…Meanwhile, a nonmagnetic shaft with high conductivity leads to low sensitivity and higher linearity errors. Furthermore, a high-frequency excitation source enhances output linearity but necessitates careful selection based on the shaft materials. …”
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Enhanced Teleoperation of Robotic Arms Through Master-Slave Configuration With Multithreading by Ahmad Faiz Fawzan Ahmad Zainudin, Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, Mohd Asyraf Zulkifley, M. Marzuki Mustafa

“…Teleoperation systems are crucial in various industrial applications, including medical surgeries and the operation of remotely controlled robots. …”
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A Novel Capacitance Estimation Method of Modular Multilevel Converters for Motor Drives Using Recurrent Neural Networks with Long Short-Term Memory by Mehdi Syed Musadiq, Dong-Myung Lee

“…The results demonstrate significant improvements in estimation accuracy, validated through mean squared error (MSE) metrics and comparative analysis of actual versus estimated capacitance. …”
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Runoff Generation Mechanisms of Flash Flood Forecasting in Guanshan River Basin by LI Miao, TANG Wen-jian, DONG Lin-yao, ZENG Yu-jie

“…Simulation results were evaluated using Nash-Sutcliffe efficiency coefficient (NSE), peak discharge error, and runoff depth error to compare the applicability and advantages of different runoff generation mechanisms. …”
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Forest Fire Risk Assessment: An Illustrative Example from Ontario, Canada by W. John Braun, Bruce L. Jones, Jonathan S. W. Lee, Douglas G. Woolford, B. Mike Wotton

“…Burn-P3 simulations were run under the settings (related to weather) recommended in the software documentation and were found to be fairly robust to errors in the fuel map, but simulated fire sizes were substantially larger than those observed in the historic record. …”
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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

“…AI-powered automated reporting improves efficiency and minimizes errors, while AI-based decision support systems deliver real-time insights and detect complex patterns, resulting in more effective strategic decisions. …”
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ANN prediction of the CO2 solubility in water and brine under reservoir conditions by Shuo Yang, Dong Wang, Zeguang Dong, Yingge Li, Dongxing Du

“…The research results indicate that the ANN model is suitable for predicting the solubility of carbon dioxide under different conditions, with root mean square errors (RMSE) of 0.00108 and 0.00036 for water and brine, and a coefficient of determination (R2) of 0.99424 and 0.99612, which indicates robust prediction capacities. …”
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Multimodal learning–based reconstruction of high-resolution spatial wind speed fields by Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet

“…Reanalysis products, obtained from data assimilation methods, represent the state-of-the-art for sea-surface wind speed monitoring but may be biased by model errors and their spatial resolution is not competitive with satellite products. …”
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Research on the Dynamic Modeling of Rigid–Flexible Composite Spacecraft Under Fixed Constraints Based on the ANCF by Jiaqi Wu, Guohua Kang, Junfeng Wu, Chuanxiao Xu, Jiayi Zhou, Xinyong Tao, Yinmiao Hua

“…The proposed model exhibits displacement errors less than 1 mm, highlighting its efficiency and accuracy.…”
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MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration by Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder

“…Downstream applications for point cloud registration, like LiDAR Odometry, often conduct Iterative Closest Points (ICP) in the initial frame-to-frame matching and/or subsequent map refinement. …”
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Enhancing pH prediction accuracy in Al2O3 gated ISFET using XGBoost regressor and stacking ensemble learning by Ashirbad Panda, Rishikesh Datar, Shreyas Deshpande, Gautam Bacher

“…Abstract An ion-sensitive field-effect transistor (ISFET) is widely used in environmental and biomedical applications due to its rapid response, miniaturization, and cost-effectiveness. …”
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Environmental Monitoring Smart System with Self-Sustaining Wireless Sensor Network Using Data Validation Algorithms by Kanwal T., Altaf S., Javed M. K.

“…Because sensed data cannot be blindly trusted upon, as it may have faults and errors occurred with-in the sensing environment. Besides, to guarantee the active state of the sensing system in a remote area is also essential in terms of power usage and management. …”
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Characterization of the response of a well chamber to different models of Ir-192 sources for HDR brachytherapy by Alexandre Bernardino, Izabella Souza, Thais Hauradou, Ademir Da Silva, Inayá Lima

“… The determination of the reference air kerma rate (KR) with well chambers calibrated using a different model of source than desired can lead to significant errors, affecting both radiological traceability institutions and healthcare facilities. …”
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Design of Hybrid MPC-PID Controller Based on Fractional Order Model of AMR by Orkan Murat Celik, Furkan Nur Deniz, Murat Koseoglu

“…It is demonstrated that the hybrid controller, which is designed without requiring detailed equations of the system components, exhibits a good performance in minimizing errors and enhancing reliability for both angular and linear velocity values.…”
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Establishment of a Discrete-Element Model and Verification of a Seeder Bench Experiment for Sesbania Seeds by Shuwei Chen, Yanzhou Li, Bowen Wei, Meiqi Shi, Xufeng Zou, Xin Huang

“…The results indicated that the percentage errors for the replay-seeding rate and missed-seeding rate between the simulation experiment and the bench experiment were 5.90% and 5.84%, respectively. …”
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Digital Twin Approach for Fault Diagnosis in Photovoltaic Plant DC–DC Converters by Pablo José Hueros-Barrios, Francisco Javier Rodríguez Sánchez, Pedro Martín Sánchez, Carlos Santos-Pérez, Ariya Sangwongwanich, Mateja Novak, Frede Blaabjerg

“…Fault detection is performed by comparing the real-time system behaviour with DT predictions, using dynamic thresholds based on power, voltage, and current sensors errors. Once a discrepancy is flagged, a second step classifier processes normalized time-series windows to identify the specific fault type. …”
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Assessment of the Additive Fabrication Quality of Sandwich Structures with Novel Triply Periodic Minimal Surface Cores by Alexandru Vasile, Dan Mihai Constantinescu, Iulian Constantin Coropețchi, Ștefan Sorohan, Dragoș Alexandru Apostol

“…Laser scanning showed no significant deviations from the designed geometry but highlighted errors during the post-processing stages of manufacturing. …”
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Accurate Automation of Deadweight Force Standard Machine Based on Artificial Intelligent Model at NMCC-SASO-KSA by AlGhamdi Hamad A., Binown Abdulelah A., AlMatrawi Ahmed A.

“…The proposed automation process enhances measurement efficiency, reduces, cost, time, human errors, and ensures consistent results. This contributes to the advancement of force metrology and facilitates reliable force measurements in various applications.…”
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