LevelWAN: a cost-effective, open-source IoT system for water level monitoring in highly dynamic aquatic environments by Ilane Cherif, Frédéric Cherqui, Franck Perret, Bastien Bourjaillat, Lionel Lord, Jean-Luc Bertrand-Krajewski, Nicolas Walcker, Maria Gisi, Laëtitia Bacot, Oldrich Navratil

“…Its accuracy was assessed against a high-precision professional device, demonstrating an error margin of less than 1 cm. Additionally, LevelWAN was developed with a user-friendly design to facilitate accessibility for non-experts, aligning with the needs of citizen science initiatives and educational applications.…”
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A 6.7 μW Low-Noise, Compact PLL with an Input MEMS-Based Reference Oscillator Featuring a High-Resolution Dead/Blind Zone-Free PFD by Ahmed Kira, Mohannad Y. Elsayed, Karim Allidina, Vamsy P. Chodavarapu, Mourad N. El-Gamal

“…This article reports a 110.2 MHz ultra-low-power phase-locked loop (PLL) for MEMS timing/frequency reference oscillator applications. It utilizes a 6.89 MHz MEMS-based oscillator as an input reference. …”
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Components of stakeholder participation to create value in the banking industry in East Azerbaijan Agricultural Bank by Alireza Tagavi, Alireza Bafandeh Zendeh, Samad Aali

“…However, there is still a lack of popular visualization and application tools, and no unique approach is available to identifying and engaging stakeholders (Regge et al, 2018). …”
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller by Monika Gupta, P. M. Tiwari, R. K. Viral, Ashish Shrivastava, Basem Abu Zneid, Iryna Hunko

“…The proposed GWO-PID method overcomes these limitations by leveraging the GWO algorithm’s global search capability to dynamically optimize the PID gains (Kp, Ki, Kd) based on a composite fitness function that minimizes Mean Squared Error (MSE) and THD. The system architecture, simulated in MATLAB/Simulink, comprises a 50 kW PV array with a boost converter employing an Incremental Conductance (INC) Maximum Power Point Tracking (MPPT) algorithm, a three-phase voltage source inverter, RLC filters, and a dual-loop (voltage and current) control system synchronized with the utility grid through a Phase-Locked Loop (PLL). …”
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Integrating quantum synchronization in future generation networks by Swaraj Shekhar Nande, Muhammad Idham Habibie, Milad Ghadimi, Andrea Garbugli, Koteswararao Kondepu, Riccardo Bassoli, Frank H. P. Fitzek

“…Increasing the synchronization error from the ideal tens of nanoseconds to hundreds of microseconds is unacceptable in future-generation networks. …”
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High-Precision Small-Signal Model for Double-Channel–High-Electron-Mobility Transistors Based on the Double-Channel Coupling Effect by Ziyue Zhao, Qian Yu, Yang Lu, Chupeng Yi, Xin Liu, Ting Feng, Wei Zhao, Yilin Chen, Ling Yang, Xiaohua Ma, Yue Hao

“…Finally, validation of the model’s fitting reveals a significantly reduced error compared to traditional small-signal models. …”
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Versatile parallel signal processing with a scalable silicon photonic chip by Shihan Hong, Jiachen Wu, Yiwei Xie, Xiyuan Ke, Huan Li, Linyan Lyv, Yingying Peng, Qingrui Yao, Yaocheng Shi, Ke Wang, Leimeng Zhuang, Pan Wang, Daoxin Dai

“…Additionally, it incorporates ultra-low-loss waveguides and low-phase-error optical switch techniques, achieving an overall insertion loss of 10 dB. …”
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Enhancing bending strength in continuous drive friction welding of PEEK polymer cylinders through the innovative progressively increased welding area method by Chil-Chyuan Kuo, Hua-Xhin Liang, Song-Hua Huang, Armaan Farooqui, Shih-Feng Tseng

“…In general, the Taguchi method was used to optimize the process parameters of CDFW of dissimilar PEEK round rods to reduce random efforts by the trial-and-error method. It was found that the proposed PIWA method can definitely enhance the bending strength of rotational friction welded samples due to reduction of voids inside the weld interface. …”
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Automatic detection of lucky bamboo nodes based on Improved YOLOv7 by Jing Zhang, Jing Zhang, Jing Zhang, Ruoling Deng, Ruoling Deng, Ruoling Deng, Chengzhi Cai, Erpeng Zou, Haitao Liu, Haitao Liu, Mingxin Hou, Xinzhi Chen, Huamin Lin, Zhenye Wei

“…Current manual detection methods are inefficient, labor-intensive, and error-prone, necessitating an automated solution.MethodsThis study proposes an improved YOLOv7-based model for real-time, precise bamboo node detection. …”
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Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches by Mehmet Yilmaz, Erkut Yalcin, Fatih Demir, Ahmet Munir Ozdemir, Muhammed Atar, Aysegul Gunes, Beyza Furtana Yalcin, Ertugrul Cambay

“…Unlike traditional manual inspections, which are time-consuming and error-prone, our approach leverages advanced segmentation techniques to ensure accurate, pixel-level classification of various crack types. …”
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Visual Servoing Drone Utilizing Ground Robot Detection Model for UAV-UGV Alignment for Retrieval Operations by Jamaica Mae Pepito, John Mel Bolaybolay, Earl Ryan Aleluya, Francis Jann Alagon, Steve Clar, Immanuel Paradela, Sherwin Guirnaldo, Jeanette Pao, Carl John Salaan, Argel Bandala

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Energy storage efficiency modeling of high-entropy dielectric capacitors using extreme learning machine and swarm-based hybrid support vector regression computational methods by Yas Al-Hadeethi, Taoreed O. Owolabi, Mouftahou B. Latif, Bahaaudin M. Raffah, Ahmad H. Milyani, Saheed A. Tijani

“…However, low energy storage efficiency of BaTiO3-based ceramics hinders their applications especially along the global trend of miniaturization. …”
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The third Met Office Unified Model–JULES Regional Atmosphere and Land Configuration, RAL3 by M. Bush, D. L. A. Flack, H. W. Lewis, S. I. Bohnenstengel, C. J. Short, C. Franklin, A. P. Lock, M. Best, P. Field, A. McCabe, K. Van Weverberg, K. Van Weverberg, K. Van Weverberg, S. Berthou, I. Boutle, J. K. Brooke, S. Cole, S. Cooper, G. Dow, J. Edwards, A. Finnenkoetter, K. Furtado, K. Halladay, K. Hanley, M. A. Hendry, A. Hill, A. Jayakumar, R. W. Jones, H. Lean, J. C. K. Lee, A. Malcolm, M. Mittermaier, S. Mohandas, S. Moore, C. Morcrette, R. North, A. Porson, S. Rennie, N. Roberts, B. Roux, C. Sanchez, C.-H. Su, S. Tucker, S. Vosper, D. Walters, J. Warner, S. Webster, M. Weeks, J. Wilkinson, M. Whitall, K. D. Williams, H. Zhang

“…Ensemble results show improvements to the spread–error relationship. User feedback from subjective assessment activities has also been positive. …”
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Nucleic acid amplification-based HER2I655V molecular detection for breast cancer by Bugi Ratno Budiarto, Pimpin Utama Pohan, Desriani

“…Keywords: SNP, HER2I655V gene, Breast cancer, Genotyping methods, Genotyping errors…”
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Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory by Mumtaz Ali, Jesu Vedha Nayahi, Erfan Abdi, Mohammad Ali Ghorbani, Farzan Mohajeri, Aitazaz Ahsan Farooque, Salman Alamery

“…Upon careful evaluation, it became clear that the error values associated with the RNN-LSTM models were negligible at the designated stations during the testing phase, with an RMSE of 0.0011 mm for Melbourne, and 0.022 mm for Sydney, followed by RNN, DL, and NN respectively. …”
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Modeling and Simulation of Automotive FMCW RADAR Sensor for Environmental Perception by Arsalan Haider, Abdulkadir Eryildirim, Marcell Pigniczki, Lukas Haas, Birgit Schlager, Thomas Zeh, David Nickel, Alexander W. Koch

“…The mean absolute percentage error (MAPE) metric is used to quantify the difference between the simulation and real sensor measurements. …”
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Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

“…The framework’s AI-driven error correction and multisensor synergy provide a scalable model for drought applications, such as ecosystem resilience monitoring (integrating thermal and optical analysis) and hydrological modelling (fusing soil moisture, precipitation, and vegetation datasets). …”
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Proposing a template for selecting the coordinates of laboratory standards for executive management of the country. by mohammad hasan Izadparast, ali asghar pourezzat, Alireza Amirkabiri

“…The point is that policymaking should be free from trial and error and focused on confronting issues wisely. Therefore, an experimental approach to policy-making is essential. …”
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Differentiable Modeling of Planet and Substellar Atmosphere: High-resolution Emission, Transmission, and Reflection Spectroscopy with ExoJAX2 by Hajime Kawahara, Yui Kawashima, Shotaro Tada, Hiroyuki Tako Ishikawa, Ko Hosokawa, Yui Kasagi, Takayuki Kotani, Kento Masuda, Stevanus K. Nugroho, Motohide Tamura, Hibiki Yama, Daniel Kitzmann, Nicolas Minesi, Brett M. Morris

“…ExoJAX directly calculates cross-sections as functions of temperature and pressure to minimize interpolation errors in high-dispersion spectra, although initial work focused on narrowband emission spectroscopy. …”
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Quantifying solid volume of stacked eucalypt timber using detection-segmentation and diameter distribution models by Gianmarco Goycochea Casas, Zool Hilmi Ismail, Mathaus Messias Coimbra Limeira, Carlos Pedro Boechat Soares, José Marinaldo Gleriani, Daniel Henrique Brada Binoti, Carlos Alberto Araújo Júnior, Mohd Ibrahim Shapiai, Leonardo Ippolito Rodrigues, Tassius Menezes Araújo, Helio Garcia Leite

“…Traditional methods for estimating the volume of stacked timber, often reliant on manual measurements, are time-consuming and prone to error. This research aims to develop an accurate procedure for estimating the volume of stacked eucalypt timber in yards. …”
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