Optimization of non-smooth functions via differentiable surrogates. by Shikun Chen, Zebin Huang, Wenlong Zheng

“…The method has been successfully applied to real-world steel alloy optimization, where it achieved superior performance while maintaining all metallurgical composition constraints.…”
Get full text

Research on the accuracy characteristics of methods for numerical differentiation and integration of measurement signals about motion parameters by Yu.O. Podchashynskyi, O.O. Luhovykh

“…To determine the motion parameters in real time, numerical differentiation formulas are used in reverse, and to process the accumulated coordinate values, symmetric numerical differentiation formulas are used. …”
Get full text

Normative characterization of age-related periodic and aperiodic activity in resting-state real-world clinical EEG recordings by Sophie Leroy, Sophie Leroy, Sophie Leroy, Viktor Bublitz, Falk von Dincklage, Daria Antonenko, Robert Fleischmann, Robert Fleischmann

“…IntroductionThe relevance of electroencephalographic (EEG) biomarkers is increasing, as advancements in spectral analysis enable computational decomposition of complex neural signals into quantitative EEG (qEEG) parameters. Especially the differentiation of periodic and aperiodic components can reveal insights into neural function, disease biomarkers, and therapeutic efficacy. …”
Get full text

TTPRNet: A Real-Time and Precise Tea Tree Pest Recognition Model in Complex Tea Garden Environments by Yane Li, Ting Chen, Fang Xia, Hailin Feng, Yaoping Ruan, Xiang Weng, Xiaoxing Weng

“…TTPRNet outperforms existing object detection models in recall, mAP, and recognition speed, meeting real-time requirements. Furthermore, the model integrates a counting function, enabling precise tallying of pest numbers and types and thus offering practical solutions for accurate identification in complex field conditions.…”
Get full text

Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

“…Then, based on the gated recurrent unit (GRU) model, the article applied the particle swarm optimization (PSO) algorithm to optimize the parameters of the GRU network and used the support vector machine (SVM) model to optimize the classification function of the network output. …”
Get full text

Optimized Quality of Service for Real-Time Wireless Sensor Networks Using a Partitioning Multipath Routing Approach by Mohammed Zaki Hasan, Tat-Chee Wan

“…The proposed mathematical model uses the Lagrangian relaxation mixed integer programming technique to define critical parameters and appropriate objective functions for controlling the adaptive QoS constrained route discovery process. …”
Get full text

Structure function in photoplethysmographic signal dynamics for physiological assessment by Javier de Pedro-Carracedo, David Fuentes-Jimenez, María Fernanda Cabrera-Umpiérrez, Ana Pilar González-Marcos

“…This paper presents a novel investigation into how various parameters of the structure function of the PhotoPlethysmoGraphic (PPG) signal can serve as reliable physiological biomarkers indicative of an individual’s cardiorespiratory activity level. …”
Get full text

Modeling and Optimal Control Analysis Applied to Real Cases of COVID-19 Pandemic with Double Dose Vaccination in Ethiopia by Fekadu Mosisa Legesse, Koya Purnachandra Rao, Temesgen Duressa Keno

“…For the reproduction number, a parametric formula is constructed, and also the associated numerical value is calculated from the reported real data in Ethiopia. Moreover, disease-free and endemic equilibria are determined, and their local and global stabilities are discussed using the Lyapunov function technique. …”
Get full text

Gravitational-wave Parameter Estimation in Non-Gaussian Noise Using Score-based Likelihood Characterization by Ronan Legin, Maximiliano Isi, Kaze W. K. Wong, Yashar Hezaveh, Laurence Perreault-Levasseur

“…Assuming only noise additivity, we employ score-based diffusion models to learn an empirical noise distribution directly from detector data and then combine it with a deterministic waveform model to provide an unbiased estimate of the likelihood function. We validate the method by performing inference on a subset of GW parameters from 400 mock observations, containing real LIGO noise from either the Livingston or Hanford detectors. …”
Get full text

Real Time Fractional Robust Adaptive Scheme for Frequency Regulation in Double Area Hybrid Power System With Renewables by Ahmed Ragab, Dalia Allam, Ahmed F. Zobaa, Hazem Ali Attia

Get full text

YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…Real-time insulator defect detection is critical for ensuring the reliability and safety of power transmission systems. …”
Get full text

Monitoring respiratory function with telemedicine devices in asthmatic children by Katalin Kapus, Katalin Kapus, Ferenc Rárosi, Zoltán Novák, Ferenc Peták, József Tolnai

“…Home-based telespirometry offers a promising approach, enabling regular lung function testing, early exacerbation detection, and improved disease management while reducing the burden of in-person visits. …”
Get full text

Smart technique for calculating fault current model parameters using short circuit current measurements by R. A. Mahmoud, O. P. Malik, W. M. Fayek

“…The strategy can be applied offline or in real-time. To verify the developed methodology, comprehensive numerical studies on a power system with real parameters data are presented. …”
Get full text

Inequalities for Basic Special Functions Using Hölder Inequality by Mohammad Masjed-Jamei, Zahra Moalemi, Nasser Saad

“…Let <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo>,</mo><mi>q</mi><mo>≥</mo><mn>1</mn></mrow></semantics></math></inline-formula> be two real numbers such that <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mstyle scriptlevel="0" displaystyle="true"><mfrac><mn>1</mn><mi>p</mi></mfrac></mstyle><mo>+</mo><mstyle scriptlevel="0" displaystyle="true"><mfrac><mn>1</mn><mi>q</mi></mfrac></mstyle><mo>=</mo><mn>1</mn></mrow></semantics></math></inline-formula>, and let <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>a</mi><mo>,</mo><mi>b</mi><mo>∈</mo><mi mathvariant="double-struck">R</mi></mrow></semantics></math></inline-formula> be two parameters defined on the domain of a function, for example, <i>f</i>. …”
Get full text

Inferring Parameters in a Complex Land Surface Model by Combining Data Assimilation and Machine Learning by L. T. Keetz, K. Aalstad, R. A. Fisher, C. Poppe Terán, B. Naz, N. Pirk, Y. A. Yilmaz, O. Skarpaas

“…We estimate a total of six plant‐functional‐type‐specific photosynthetic parameters by assimilating evapotranspiration (ET) and gross primary production (GPP) flux data. …”
Get full text

Real-World effectiveness of eculizumab in atypical hemolytic uremic syndrome: a retrospective study from Western China by Yun Hu, Yanyan Zhang, Wei Wang, Guisen Li, Shasha Chen

“…To evaluate timing effects, patients were categorized as Early Initiators (treatment within 7 days of symptom onset, n=9) versus Delayed Initiators (treatment beyond 7 days, n=8) The main outcome measures included hematological parameters, renal function, and adverse events.ResultsThe cohort (n=17, 76.5% female, mean age 43.2 ± 20.0 years) demonstrated significant improvements post-eculizumab: creatinine decreased from 647.0 (439.0, 915.0) to 198.5 (86.5, 749.5) μmol/L, eGFR increased from 8.0 (5.0, 11.0) to 22.1 (6.4, 55.1) mL/min/1.73m², platelets rose from 75 ± 11 to 143 ± 33×109/L, and LDH declined from 787.5±908.0 to 232.8 ± 70.0 U/L (all P&lt;0.001). …”
Get full text

Research on prediction method of well logging reservoir parameters based on Multi-TransFKAN model by Huazhong Yang, Zhang Chong, Lei Xiong, Wenhao Xiong, Guilan Lin, Kaiwen Huang, Wenyi Zhang

“…These findings highlight the model’s capability to deliver more reliable predictions and a clearer understanding of the factors influencing reservoir parameters. Therefore, the Multi-TransFKAN model not only enhances the accuracy of reservoir parameter prediction but also improves model transparency and reliability in real-world applications through advanced interpretability techniques.…”
Get full text

Early-Fault Feature Extraction for Rolling Bearings Based on Parameter-Optimized Variation Mode Decomposition by Junjie Ni, Gangjin Huang, Jing Yang, Nan Wang, Junheng Fu

“…However, applying VMD to process real non-stationary signals still poses several challenges. …”
Get full text

Real-time detection and identification of fish skin health in the underwater environment based on improved YOLOv10 model by Duanrui Wang, Meng Wu, Xingyue Zhu, Qiwei Qin, Shaowen Wang, Haibin Ye, Kaiyuan Guo, Chi Wu, Yi Shi

“…DCW-YOLO substitutes the CIoU loss function in YOLOv10 with the NWD loss function, thereby improving the model’s ability to detect densely packed targets. …”
Get full text

Analyzing in-situ stress response characteristics of coals based on optimized measurement-while-drilling parameters by Kun ZHANG, Ke WANG, Jianxi REN, Shangxin FENG, Pengbo CHANG, Yutao ZHAO, Yanping MIAO, Jian HU

“…Results and Conclusions The results indicate that the monitoring-while-drilling system could monitor the drilling parameters in real time in the presence of disturbance to the drilling process. …”
Get full text