Fiber-Optic Vector Magnetic Field Sensor Based on Mode Interference and Magnetic Fluid in a Two-Channel Tapered Structure by He Tian, Yuxiao Song, Yanzeng Li, Hanyang Li

“…The experimental results are well consistent with the numerical simulation results and show that the sensitivity of this sensor reaches up to 244 pm/mT, with the direction error being merely ±1.4°. Therefore, the proposed sensor exhibits a unique sensitivity for the measurement of magnetic field intensity and direction in 3D space, which makes it best suitable for applications in transportation, medicine, and smart device.…”
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Improving Parameter Estimation of Fuel Cell Using Honey Badger Optimization Algorithm by Rolla Almodfer, Mohammed Mudhsh, Samah Alshathri, Laith Abualigah, Laith Abualigah, Mohamed Abd Elaziz, Mohamed Abd Elaziz, Mohamed Abd Elaziz, Khurram Shahzad, Mohamed Issa

“…In the presented method, the minimal value of the sum square error (SSE) is applied to determine the optimal fitness function. …”
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Multi-station water level forecasting using advanced graph convolutional networks with adversarial learning by Xinhai Han, Xiaohui Li, Jingsong Yang, Jiuke Wang, Guoqi Han, Jun Ding, Hui Shen, Jun Yan, Dake Chen

“…Notably, the model showcases robustness in tropical cyclone scenarios and reliable results when tested with real-world observational data, underlining its potential for versatile applications in ocean engineering.…”
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Simulation of urban flooding using 3D computational fluid dynamics with turbulence model by Muhammad Waqar Saleem, Muhammad Rashid, Sajjad Haider, Mohiq Khalid, Amro Elfeki

“…Employing a sophisticated 3D CFD model, this study provides detailed inputs for high-precision flood risk assessments in urban areas prone to rapid flooding, enhancing the precision and applicability of urban flood models.…”
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An Improved Soft Actor–Critic Task Offloading and Edge Computing Resource Allocation Algorithm for Image Segmentation Tasks in the Internet of Vehicles by Wei Zou, Haitao Yu, Boran Yang, Aohui Ren, Wei Liu

“…The results demonstrate that the proposed PER-iSAC significantly reduces task allocation error rates and optimizes task completion times. …”
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Time-Resolved Calibration of Photon Detection Efficiency and Afterpulse Probability in 100 MHz Gated InGaAs/InP Single-Photon Avalanche Diodes by Zeyun Wang, Yiping Zhang, Hanqin Gu, Chao Han, Liang Yin, Yan Liang

“…InGaAs/InP single-photon avalanche diodes (SPADs) are widely used in applications such as quantum information, deep-space communication, and LiDAR. …”
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Mapping the Carrier Phase of a Propagating Wave by Wireless Two-Way Interferometry Scanned by a Mobile Robot by Takaaki Nara, Yoshito Okada, Shotaro Kojima, Ranulfo Bezerra, Kazunori Ohno, Suguru Kameda, Nobuyasu Shiga, Satoshi Yasuda, Kenichi Takizawa, Satoshi Tadokoro

“…The system achieves a root mean square error (RMSE) of <inline-formula> <tex-math notation="LaTeX">$\leq 0.2\,\mathrm {rad}$ </tex-math></inline-formula> across five trials. …”
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Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration by Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R Naik

“…The proposed framework generates topologically plausible deformation fields and shows strong potential for clinical and research applications in neuroimaging.…”
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Development of an Augmented Reality Surgical Trainer for Minimally Invasive Pancreatic Surgery by Doina Pisla, Nadim Al Hajjar, Gabriela Rus, Bogdan Gherman, Andra Ciocan, Corina Radu, Calin Vaida, Damien Chablat

“…A convolutional neural network (CNN) model predicts forces without physical sensors, achieving a mean absolute error of 0.0244 N. Tests indicate a strong correlation between applied and predicted forces, with a haptic feedback latency of 65 ms, suitable for real-time applications. …”
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Comparative study of interpretable and black-box machine learning for modeling mechanical and tribological properties of 3D-printed PLA/date pits composites by Ahmed Asker, Ahmed Fouly, Mohamed G. B. Atia, Hany S. Abdo, Omar Salah

“…These results demonstrate SLSSR’s effectiveness and potential as a reliable tool for material science applications, especially in data-limited scenarios.…”
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Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm by Manish Kumar Singla, Jyoti Gupta, Ramesh Kumar, Pradeep Jangir, Mohamed Louzazni, Nimay Chandra Giri, Ahmed Jamal Abdullah Al-Gburi, E. I.-Sayed M. EI-Kenawy, Amal H. Alharbi

“…Their high efficiency and versatility make them a promising technology across various applications. Researchers are actively exploring ways to optimize FC systems to meet specific energy needs. …”
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Evaluation of ECOSTRESS Collection 2 Evapotranspiration Products: Strengths and Uncertainties for Evapotranspiration Modeling by Zoe Amie Pierrat, Adam J. Purdy, Gregory Halverson, Joshua B. Fisher, Kanishka Mallick, Madeleine Pascolini‐Campbell, Youngryel Ryu, Martha C. Anderson, Claire Villanueva‐Weeks, Margaret C. Johnson, Brenna Hatch, Evan Davis, Yun Yang, Kerry Cawse‐Nicholson

“…Initial ET from ECOSTRESS Collection 1 was used in scientific research and applications, though subsequent analyses identified areas for improvement. …”
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Improving the Flexibility of Coal-Fired Power Units by Dynamic Cold-End Optimization by Yanpeng Zhang, Xinzhen Fang, Zihan Kong, Zijiang Yang, Jinxu Lao, Wei Zheng, Lingkai Zhu, Jiwei Song

“…The model validation results show that the error between the simulated results and measured values is <3% at the common load range and <5% at the low load range. …”
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Source Localization via Doppler Shifts Using Mobile Sensors in ICNets Within Industry 5.0 by Lina Wang, Xiaoting Mao, Kai Fang, Ali Kashif Bashir, Marwan Omar, Xiaoping Wu, Wei Wang

“…Source localization plays a significant role in industrial 5.0 applications by availing of the communication networks. …”
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An Over-the-Air Multi-User Convolutional Code for URLLC by Rafael Santos, Daniel Castanheira, Adao Silva, Atilio Gameiro

“…These applications typically involve the exchange of small information blocks. …”
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Evaluation and analysis of the precipitable water vapor in Inner Mongolia of China by Qi Bai, Qiaoli Kong, Xiaolong Mi, Wu Chen, Junsheng Ding, Yunqing Huang, Meiqi Li, Qian Li

“…This study aims to comprehensively evaluate and analyze the PWV in Inner Mongolia using the global navigation satellite system (GNSS), radiosonde (RS), the fifth-generation European Center for Medium-Range Weather Forecasts Reanalysis (ERA5), and the Second Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) data. The comparison between GNSS PWV and RS PWV reveals an average bias of −0.68 mm and a root mean square error (RMSE) of 2.17 mm, indicating the high accuracy of GNSS PWV and its potential as an assessment tool of other PWV products. …”
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Pharmacokinetics of Pegaspargase with a Limited Sampling Strategy for Asparaginase Activity Monitoring in Children with Acute Lymphoblastic Leukemia by Cristina Matteo, Antonella Colombini, Marta Cancelliere, Tommaso Ceruti, Ilaria Fuso Nerini, Luca Porcu, Massimo Zucchetti, Daniela Silvestri, Maria Grazia Valsecchi, Rosanna Parasole, Luciana Vinti, Nicoletta Bertorello, Daniela Onofrillo, Massimo Provenzi, Elena Chiocca, Luca Lo Nigro, Laura Rachele Bettini, Giacomo Gotti, Silvia Bungaro, Martin Schrappe, Paolo Ubezio, Carmelo Rizzari

“…This model predicts the AUC with 6% average error and 35% maximum error compared to the AUC estimated with all available measures. …”
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Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model by Farshid Felfelani, Yadu Pokhrel, Kaiyu Guan, David M. Lawrence

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End-to-End Multi-Speaker FastSpeech2 With Hierarchical Decoder by Majid Adibian, Hossein Zeinali

“…Multi-speaker text-to-speech (TTS) systems play a crucial role in different applications, such as personalized voice assistants, audiobooks, and multilingual speech synthesis. …”
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Research on the Improved ICP Algorithm for LiDAR Point Cloud Registration by Honglei Yuan, Guangyun Li, Li Wang, Xiangfei Li

“…In most engineering and industrial measurement applications, the accuracy and density of LiDAR point clouds are highly dependent on laser scanners, leading to significant variability that critically affects registration quality. …”
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