Snowmelt runoff model (SRM) for regulated watersheds with regulation-correction by Ninad Bhagwat, Xiaobing Zhou, Raja Nagisetty, Liping Jiang, Glenn Shaw, Martha Apple, Jeremy Clotfelter

“…The E-SRM framework offers new opportunities for research and practical application in water resource management.…”
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SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver by Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J Taylor Childers, Steven Goldenberg

“…Solving large-scale inverse problems using deep-learning algorithms have become an essential part of modern research and industrial applications. …”
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Lyme Disease Biobank: 10 years of 3 month follow-up visits from 2014 to 2023 by Elizabeth J. Horn, George Dempsey, Anna M. Schotthoefer, Matthew McArdle, Allison F. Weber, Cathy De Luca, Bobbi S. Pritt, Elizabeth L. Maloney

“…IntroductionLyme Disease Biobank (LDB) enrolls participants with signs and symptoms of early Lyme disease (LD) from endemic areas and makes samples available to researchers developing more accurate diagnostics. From 2014 to 23, 466 cases and 367 controls were enrolled on Long Island, NY, and in Central Wisconsin.MethodsThis study included 253 LDB participants who provided samples from an initial and a convalescent blood draw. …”
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Synchronverter Control Strategy: A Review of Different Improvements and Applications by Michell J. Quintero-Durán, John E. Candelo-Becerra, Mario Eduardo González-Niño, Saúl Andrés Hernández-Moreno, Rodolpho Fernando Váz

“…This technology employs inverters to transfer power to the electrical network that relies on a control algorithm emulating the dynamic behavior of synchronous machines. …”
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Malignant melanoma of the conjunctiva metastatic to the parotid gland: a case report by Marta Rogalska, Pawel Scierski, Marta Gamrot-Wrzol, Maciej Misiolek, Wojciech Scierski

“…The high potential for regional and distant metastasis in individuals with conjunctival malignant melanoma underscores the significance of ongoing research to enhance the understanding of its biological behavior and develop a standardized algorithm for its management and surveillance.…”
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Predicting Livestock Farmers’ Attitudes towards Improved Sheep Breeds in Ahar City through Data Mining Methods by Jabraeil Vahedi, Masoumeh Niazifar, Mohammad Ghahremanzadeh, Akbar Taghizadeh, Soheila Abachi, Valiollah Palangi, Maximilian Lackner

“…Next, we employed data mining-based methods, including multilayer perceptron neural networks, random forest, and random tree algorithms. These helped identify essential variables affecting ranchers’ attitudes. …”
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Enhanced prediction of corrosion rates of pipeline steels using simulated annealing-optimized ANFIS models by Ali Hussein Khalaf, Bing Lin, Ahmed N. Abdalla, Zhongzhi Han, Ying Xiao, Junlei Tang

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Tuning and Performance Analysis of Second-Order Linear Active Disturbance Rejection Controller for Trajectory Tracking and Balancing the Rotary Inverted Pendulum by Janeshwaran Gunasekaran, Ezhilarasi Deenadayalan

“…Second-order Linear Active Disturbance Rejection Controller (SLADRC) is a powerful control technique. Ongoing research is focused on simplifying tuning procedures, extending applicability to handle more complex systems, and ensuring efficient real-time implementation. …”
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Inversion of SPAD Values of Pear Leaves at Different Growth Stages Based on Machine Learning and Sentinel-2 Remote Sensing Data by Ning Yan, Qu Xie, Yasen Qin, Qi Wang, Sumin Lv, Xuedong Zhang, Xu Li

“…Subsequently, four machine learning algorithms—K-Nearest Neighbors (KNN), Random Forest (RF), Support Vector Machine (SVM), and an Optimized Integrated Algorithm (OIA)—were employed to develop SPAD retrieval models, and the performance differences across various input combinations and models were systematically evaluated. …”
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APT Adversarial Defence Mechanism for Industrial IoT Enabled Cyber-Physical System by Safdar Hussain Javed, Maaz Bin Ahmad, Muhammad Asif, Waseem Akram, Khalid Mahmood, Ashok Kumar Das, Sachin Shetty

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Prediction of Total Soluble Solids in Apricot Using Adaptive Boosting Ensemble Model Combined with NIR and High-Frequency UVE-Selected Variables by Feng Gao, Yage Xing, Jialong Li, Lin Guo, Yiye Sun, Wen Shi, Leiming Yuan

“…This research shows that the UVE-Adaboost fusion method enhances model prediction accuracy and generalization ability through multi-dimensional feature optimization and model weight allocation. …”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…A flood optimization algorithm (FLA) is used to establish a hyperparameter collaborative optimization framework. …”
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Spectral analysis of gas dynamic processes in the inlet system of a piston engine with turbocharger by L. V. Plotnikov, Y. M. Brodov, B. P. Zhilkin, D. S. Shestakov, L. E. Osipov

“…Due to the complexity of the object of research, an experimental approach was taken as a basis. …”
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IA-CIOU: An Improved IOU Bounding Box Loss Function for SAR Ship Target Detection Methods by Pingping Huang, Shihao Tian, Yun Su, Weixian Tan, Yifan Dong, Wei Xu

“…Following numerous experimental validations, proposed algorithm consistently outperforms on both SAR-Ship-Dataset, MSAR-1.0 dataset, and SAR ship detection dataset (SSDD) dataset. …”
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Convolutional neural network for gesture recognition human-computer interaction system design. by Peixin Niu

“…Gesture interaction applications have garnered significant attention from researchers in the field of human-computer interaction due to their inherent convenience and intuitiveness. …”
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PREDICTION AND DAMAGE ANALYSIS OF THE POSTBUCKLING FOR MULTI-SPAR COMPOSITE BOX by YUAN Fei, CHAI YaNan, ZHANG AYing

“…In this paper,a failure algorithm based upon Puck’s failure theory has been developed. …”
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Accurate RFID Trilateration to Learn and Recognize Spatial Activities in Smart Environment by Kevin Bouchard, Dany Fortin-Simard, Sebastien Gaboury, Bruno Bouchard, Abdenour Bouzouane

“…The rapid adoption of wireless communication and sensors technology has raised the awareness of many laboratories about the field of network embedded system. Most researchers aim to exploit these advances to enable technological assistance of frail persons in smart homes. …”
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FEATURES OF LOCAL IMMUNITY IN PATIENTS WITH OROPHARYNGEAL CANCER by O. I. Keith, M. N. Tilliashaihov, P. V. Svetitsky, E. Yu. Zlatnik, G. I. Zakora, A. A. Ganiev, G. P. Nistratov

“…We explored the experience of the Rostov Research Institute of Oncology and the Republican Specialized Scientific and Practical Medical Center of Oncology and Radiology of the Ministry of Health of the Republic of Uzbekistan.Materials and methods. …”
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Deep learning-based super-resolution US radiomics to differentiate testicular seminoma and non-seminoma: an international multicenter study by Yafang Zhang, Shilin Lu, Chuan Peng, Shichong Zhou, Irene Campo, Michele Bertolotto, Qian Li, Zhiyuan Wang, Dong Xu, Yun Wang, Jinshun Xu, Qinfu Wu, Xiaoying Hu, Wei Zheng, Jianhua Zhou

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The association between ozone exposure and blood pressure in a general Chinese middle-aged and older population: a large-scale repeated-measurement study by Chen Tang, Yiqin Zhang, Jingping Yi, Zhonghua Lu, Xianfa Xuan, Hanxiang Jiang, Dongbei Guo, Hanyu Xiang, Ting Wu, Jianhua Yan, Siyu Zhang, Yuxin Wang, Jie Zhang

“…Given the scarcity of Chinese epidemiological data, more research on this association is of paramount importance, particularly among middle-aged and older Chinese populations. …”
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