Daily Rainfall Patterns During Storm “Daniel” Based on Different Satellite Data by Stavros Kolios, Niki Papavasileiou

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Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management by William Alberto Cruz Castañeda, Pedro Bertemes Filho

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Research on the Rapid Testing Method of Influence Lines for Beam Bridges and Its Engineering Applications by Xiaowei Tao, Haikuan Liu, Jie Li, Pinde Yu, Junfeng Zhang

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Hydrodynamics Model Identification and Model-Based Control Application of a New Type of AUV by Lunyang Lin, Yuxiang Chen, Hong Xiong, Chunliang Yu, Hong Zhu, Yiyang Xing, Guodong Zheng

“…Finally, simulations and pool tests were conducted on the AUV, and a comparative analysis of the simulation results with the pool test results revealed that although there were certain errors in the calculation of the hydrodynamic coefficients, the controller constructed within this margin of error was still capable of effectively controlling the AUV. …”
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Advanced Software Package for Estimatiom Boundary Trajectories of Electron Beams and Other Practical Applications by Igor Melnyk, Mykhailo Skrypka, Alina Pochynok, Olga Demyanchenko

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Application of YOLO-based deep learning and UAV imagery in hybrid maize seed production by Marcelo Araújo Junqueira Ferraz, Pablo de Sousa Arantes, Adriano Teodoro Bruzi, Adão Felipe dos Santos

“…This study underscores the applicability of YOLOv4 in detecting plants with detasseling errors in seed production fields, thereby contributing to the purity and quality of hybrid seeds.…”
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Optimized irrigation and fertilization for spring maize under warming and wetting climate in a semi-arid region of China by Hongjuan Zhang, Rui Zhang, Lina Sun, Haolin Li, Yanling Xue, Xia Zhao, Jiahui Liu, Chao Yuan

“…The validated model demonstrated excellent performance in simulating key parameters, including soil water content (SWC) [mean relative error (MRE) and normalized root mean squared error (NRMSE) < 15%, consistency index (d) > 0.80], biomass (d > 0.85), grain yield (MRE < 15%), and NH4+-N and NO3−-N contents (RMSE < 10 mg kg−1, MRE and NRMSE < 15%, d > 0.60), of spring maize in 2022 and 2023. …”
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Flutter Framework Implementation for Over Current Relay and Ground Fault Relay Setting Applications in 20 kV Distribution Systems by Nike Sartika, Muhammad Akmal Maulidan, Edi Mulyana

“…In the distribution system, there are several faults such as blackouts due to errors in the coordination of the protection relay. …”
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IMPROVING THE USER EXPERIENCE OF FINANCIAL TECHNOLOGY IT SERVICES BASED ON UX/UI RESEARCH by I. G. Myagkova

“…This leads to increased conversion, customer retention and increased loyalty to the bank.Improving the user experience of the bank’s mobile application makes it possible to increase the efficiency of the bank’s employees, reduce the burden on the customer support department and reduce the number of errors when performing routine operations or actions. …”
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Application Framework and Optimal Features for UAV-Based Earthquake-Induced Structural Displacement Monitoring by Ruipu Ji, Shokrullah Sorosh, Eric Lo, Tanner J. Norton, John W. Driscoll, Falko Kuester, Andre R. Barbosa, Barbara G. Simpson, Tara C. Hutchinson

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Application of Artificial Intelligence Techniques for the Estimation of Basal Insulin in Patients with Type I Diabetes by Guillermo Edinson Guzman Gómez, Luis Eduardo Burbano Agredo, Veline Martínez, Oscar Fernando Bedoya Leiva

“…We then evaluated the agreement between predicted and actual values using several statistical error measurements: mean absolute error (MAE), mean square error (MSE), root-mean-square error (RMSE), Pearson’s correlation coefficient (R), and determination coefficient (R2). …”
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Deep neural network application in real-time economic dispatch and frequency control of microgrids by Liu Jun

“…The research results showed that the IRPGC algorithm had an average error of less than 10−5 after 5,000 iterations. Compared with mainstream algorithms, this algorithm achieved favorable results in frequency deviation evaluation indicators, with a frequency deviation fluctuation range of −0.073 to 0.013 Hz, an average error integral of 51.45, an absolute error integral of 0.54, and a time-weighted absolute error integral of 1.58 × 105. …”
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Design and application of a music recommendation system based on user behavior and feature recognition by Ji Lu, Minjun Wu

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Application of Improved Fault Detection and Robust Adaptive Algorithm in GNSS/INS Integrated Navigation by Qinghai Wang, Jianghua Liu, Jinguang Jiang, Xianrui Pang, Zhimin Ge

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Use of the Chainchecker application: Uganda's experience during the 2022 Sudan Virus Disease outbreak. by Rebecca Akunzirwe, Shannon Whitmer, Miles Stewart, Julie R Harris, Mercy W Wanyana, Sherry R Ahirirwe, Alex R Ario, Daniel Kadobera, Benon Kwesiga, Richard Migisha, Abraham Rajan, Nicole Stock, Julia Eng, John D Klena, Trevor Shoemaker, Joel Montgomery, Mary Choi

“…The use of the Chainchecker application in Uganda during the 2022 SVD outbreak allowed the response teams to rectify critical errors in transmission chains. …”
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Regional Analysis of the Dependence of Peak-Flow Quantiles on Climate with Application to Adjustment to Climate Trends by Thomas Over, Mackenzie Marti, Hannah Podzorski

“…The errors of the quantiles predicted as-if-ungauged approximately doubled compared to the errors of the fitted panel model.…”
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Closed testing procedure for multiplicity control. An application on oxidative stress parameters in Hashimoto's Thyroiditis by Angela Alibrandi

“…Closed Testing procedures represent an effective solution to the need to make inferences on multiple aspects at the same time, controlling the Familywise Error Rate (FWER), that is the error rate of the hierarchical family. …”
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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

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VoiceTalk: A No-Code Approach for Creating Voice-Controlled Smart Home Applications by Yun-Wei Lin, Yi-Bing Lin, Yi-Feng Wu, Pei-Hsuan Shen

“…First, the no-code VoiceTalk platform significantly simplifies the development of Google Home-like applications. Second, by integrating ASRs with a commercial LLM such as GPT, we dramatically reduce voice-to-text translation errors, for examples, from 5.13% to 0.54% for the Web Speech API and from 2.25% to zero for Whisper Medium. …”
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Application Layer Systematic Network Coding for Sliced H.264/AVC Video Streaming by Sajid Nazir, Vladimir Stankovic, Ivan Andonovic, Dejan Vukobratovic

“…Application Layer Forward Error Correction (AL-FEC) with rateless codes can be applied to protect the video data over lossy channels. …”
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