Efficient Tuning of an Isotope Separation Online System Through Safe Bayesian Optimization with Simulation-Informed Gaussian Process for the Constraints by Santiago Ramos Garces, Ivan De Boi, João Pedro Ramos, Marc Dierckx, Lucia Popescu, Stijn Derammelaere

“…This method assumes the constraints are real-valued and continuous functions. However, in some cases, the constraints are binary (true/false) or classification-based (safe/unsafe), limiting the direct application of safe Bayesian optimization. …”
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The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…Bayesian estimators for the parameters and reliability functions (survival and hazard rate) are derived using gamma priors and both symmetric and asymmetric loss functions. …”
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An Amplitude Analysis-Based Magnetoelastic Biosensing Method for Quantifying Blood Coagulation by Xi Chen, Qiong Wang, Jinan Deng, Ning Hu, Yanjian Liao, Jun Yang

“…The proposed method was validated using glycerol solutions, demonstrating a sensitivity of 13.83 V⁻¹/Pa^0.5s^0.5Kg^0.5m^−1.5 and a detection limit of 0.0817 Pa^0.5s^0.5Kg^0.5m^−1.5. When applied to real-time monitoring of the coagulation process, the resulting coagulation curves and maximum amplitude (MA) parameters exhibited excellent consistency with standard TEG results (<i>R</i>² values of 0.9552 and 0.9615, respectively). …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Materials and Methods: We started with the analysis of a small dataset - 130 patient records with metabolic parameters [1]. The risk of post-COVID-19 type 2 diabetes (glycaemia at 4 and at 12 months post-COVID as function of metabolic parameters) was predicted using both linear regression and FFNN. …”
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Latest Advancements in Transcutaneous Electrical Nerve Stimulation (TENS) and Electronic Muscle Stimulation (EMS): Revisiting an Established Therapy with New Possibilities by Patel P, Green M, Tram J, Wang E, Murphy M, Abd-Elsayed AA, Chakravarthy K

“…To address the limitations in existing clinical applications, future advancements in TENS and EMS technologies should focus on real-time optimization of stimulation parameters, consistent therapy delivery, and improved accessibility. …”
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YOLOv8n-SSDW: A Lightweight and Accurate Model for Barnyard Grass Detection in Fields by Yan Sun, Hanrui Guo, Xiaoan Chen, Mengqi Li, Bing Fang, Yingli Cao

“…However, existing deep learning models generally suffer from high parameter counts and computational complexity, limiting their practical application in field scenarios. …”
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Progressive First-Failure Censoring in Reliability Analysis: Inference for a New Weibull–Pareto Distribution by Rashad M. EL-Sagheer, Mahmoud M. Ramadan

“…Maximum likelihood estimators are derived for the model parameters, as well as for the survival and hazard rate functions, although these estimators do not have explicit closed-form solutions. …”
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Estimation of Power Lomax Distribution for Censored Data With Applications by Abdelfattah Mustafa, Samah M. Ahmed

“…The model parameters, reliability and hazard functions, and coefficient of variation are all determined using an iterative procedure in the frequentist estimation. …”
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THE APPROACH TO IMMITATION DECISION-MAKING PROCESS IN SYSTEM OF MODELLING OF MILITARY OPERATIONS by E. V. Rulko

“…In this case preference of a choice of this or that variant of behavior is set depending on character of crossing of the indistinct sets defined by the expert which functions of an accessory are constructed on axes generated before complex parameters. …”
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Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region by Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI

“…The model accurately and in real-time completes the task of detecting coal mine pedestrian-vehicles, achieving a balance between model detection performance and efficiency. …”
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Bridging the Gap between Economic Modelling and Simulation: A Simple Dynamic Aggregate Demand-Aggregate Supply Model with Matlab by José M. Gaspar

“…Using code embedded into a unique function in Matlab, we plot the numerical solutions of the model and simulate different dynamic adjustments using different parameter values. …”
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GPU Acceleration for FHEW/TFHE Bootstrapping by Yu Xiao, Feng-Hao Liu, Yu-Te Ku, Ming-Chien Ho, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen

“…To address this challenge, hardware acceleration has emerged as a promising approach, aiming to achieve real-time computation across a wider range of scenarios. …”
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Hysteresis Modeling of Soft Pneumatic Actuators: An Experimental Review by Jesús de la Morena, Francisco Ramos, Andrés S. Vázquez

“…This evaluation suggests that the Generalized Prandtl–Ishlinskii model achieves the highest modeling accuracy, while the Preisach model with a probabilistic density function formulation excels in terms of parameter compactness.…”
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Tribological Analysis of PETG Fire-Retardant Samples Manufactured by FFF by Moises Batista, Francisco de Paula Rodriguez-Gonzalez, Gabriela Rodriguez-Garcia, Javier Garcia-Fernandez, Juan Manuel Vazquez-Martinez

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Research on fault diagnosis of amorphous alloy transformers by using vibration signals and a PSO-optimized full-process WPT-SVM model by Daosheng Liu, Wentao Yang, Longsheng Liu, Zhe Zhao

“…The PSO algorithm is used to optimize the number of WPT decomposition layers, wavelet basis functions, SVM kernel parameters g and penalty parameters c to enhance the accuracy of feature extraction and classification. …”
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HPRS: hierarchical potential-based reward shaping from task specifications by Luigi Berducci, Edgar A. Aguilar, Dejan Ničković, Radu Grosu

“…Finally, we validate the practical usability of HPRS in real-world robotics applications, including two sim-to-real experiments using F1TENTH vehicles. …”
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Application of the Company’s “Golden Age” Effect in the Economic Practice by P. N. Brusov, T. V. Filatova, V. L. Kulik

“…The existence of the weighted average cost of capital, WACC, minimum and its behavior at wide range of above parameters is investigated. All calculations are made within modern theory of capital cost and capital structure by Brusov-Filatova-Orekhova (BFO theory), generalized to the conditions of the real functioning of the company. …”
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Calculation Method of IGBT Junction Temperature Based on Heat Conduction Model by Xin CHEN, Yiming WANG, Peng WANG

“…The heat conduction model of the converter was established based on the classic Cauer RC network structure; the parameter identification of the heat conduction model of the converter was completed by combining the concept of transfer function and the structure of heat conduction model; the real-time power loss of the IGBT was calculated by consulting the IGBT product manual and the actual working conditions; finally, the simulation calculation was carried out by MATLAB/Simulink, and the real-time junction temperature of IGBT chip on the converter was obtained. …”
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Global Coupled-channels Phenomenological Optical Model Potential for Neutron-Nucleus Scattering From 6Li to 238U by Waleed Saleh Alrayashi

“…The neutron - nucleus scattering process is considered to develop smooth functional forms for the real and imaginary parts of the phenomenological optical potential using the formalism of coupled - channels analysis. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The innovation of the SEAttention module lies in replacing the original activation function with the Mish activation function, which can dynamically adjust the weights of different channels to enhance performance. …”
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