Particle Swarm Optimization Algorithm for Determining Global Optima of Investment Portfolio Weight Using Mean-Value-at-Risk Model in Banking Sector Stocks by Moh. Alfi Amal, Herlina Napitupulu, Sukono

“…The contribution to users is an easy-to-use tool for computational analysis that can assist in decision-making for portfolio investment formation.…”
Get full text

Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification by Anh Tuan Hoang, Zsolt Janos Viharos

“…Machine learning is a powerful tool for extracting valuable information and making various predictions from diverse datasets. …”
Get full text

Integrating Time Series Anomaly Detection Into DevOps Workflows by Gustav Kanahols, Shahriar Hasan, Per Erik Strandberg

“…Additionally, this paper presents a tool for storing, visualizing, monitoring, and integrating anomaly detection algorithms and makes it available to the community. …”
Get full text

Understanding multimorbidity: insights with graphical models by Erika Banzato, Alberto Roverato, Alessandra Buja, Giovanna Boccuzzo

“…Conclusion Graphical models are a versatile tool for analyzing multimorbidity, offering insights into disease associations while controlling for the effects of other variables. …”
Get full text

Using a Multivariate Virtual Experiment for Uncertainty Evaluation with Unknown Variance by Manuel Marschall, Finn Hughes, Gerd Wübbeler, Gertjan Kok, Marcel van Dijk, Clemens Elster

“…Beyond their common usage as a modeling and validation tool, a virtual experiment may also be employed to perform a parameter sensitivity analysis or to carry out a measurement uncertainty evaluation. …”
Get full text

Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…In conclusion, the model offers a robust, high-accuracy decision-support tool for promoting low-carbon agricultural development. …”
Get full text

A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses by Jian Liu, Zhuqing Zhang, Bin Lyu, Rui Feng, Ye He

“…This study substantiates the effectiveness and superiority of the ARIMA-BP prediction model in predicting traffic accident losses, providing a more efficient tool and theoretical basis for assessing and preventing traffic accident risks.…”
Get full text

Synthesis, Characterization and Density Functional Study of LiMn1.5Ni 0.5O4 Electrode for Lithium ion Battery by M. Aruna Bharathi, K. Venkateswara Rao, M. Sushama

“…The structural features of LiNi0.5Mn1.5O4 was characterized by XRD – analysis indicated that prepared sample mainly belong to cubic crystal form with Fd3m space group ,with lattice parameter a  8.265 and average crystal size of 31.59 nm and compared the experimental results with computation details from first principle computation methods with Quantum wise Atomistix Tool Kit (ATK),Virtual Nano Lab. …”
Get full text

Study of Ignition Process in an Aero Engine Combustor Based on Droplet Evaporation Characteristics Analyses by Lei Sun, Rui Feng, Fangliang Wang, Xiwei Wang

“…., available droplet, and a new parameter, i.e., available equivalence ratio, are innovatively introduced to accurately quantify fuel–air mixing characteristics and reveal flame propagation mechanisms. …”
Get full text

Structural and mechanical modifications of hyper-eutectic Al–16Si alloy using friction stir processing by Basma El-Eraki, Mohamed M. El-Sayed Seleman, Ahmed El-Sissy, Abeer Eisa

“…Abstract This study explores the structural and mechanical enhancements of hypereutectic Al–Si (16% Si) as-cast alloy achieved via friction stir processing (FSP), with travel speed as the variable parameter (26, 33, 42, and 52 mm/min) at a constant tool rotational speed of 1330 rpm. …”
Get full text

Streamlined miRNA loading of surface protein-specific extracellular vesicle subpopulations through electroporation by Corinna Torabi, Sung-Eun Choi, Thomas R. Pisanic, Michael Paulaitis, Soojung Claire Hur

“…Abstract Background Extracellular vesicles (EVs) have emerged as an exciting tool for targeted delivery of therapeutics for a wide range of diseases. …”
Get full text

An inverted U-shaped association between high-sensitivity C-reactive protein and the albumin ratio and hepatic steatosis and liver fibrosis: a population-based study by Xiaorong Ma, Baoyu Li, Yuwei Liu, Xiaoyan Guo

“…Our results suggest that CAR may serve as a valuable diagnostic tool for NAFLD. Further prospective research is necessary to validate this conclusion.…”
Get full text

Prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) and its association with arterial stiffness in adolescents: Results from the EVA4YOU study. by Johannes Nairz, Alex Messner, Sophia J Kiechl, Bernhard Winder, Christoph Hochmayr, Julian Granna, Alexander E Egger, Andrea Griesmacher, Ralf Geiger, Michael Knoflach, Ursula Kiechl-Kohlendorfer, Early Vascular Ageing in the YOUth (EVA4YOU) Study Group

“…Nevertheless, the determination of liver fat content can be a useful tool to identify adolescents at high risk for cardiovascular disease and metabolic syndrome.…”
Get full text

Reduced Geostatistical Approach With a Fourier Neural Operator Surrogate Model for Inverse Modeling of Hydraulic Tomography by Quan Guo, Yu He, Ming Liu, Yue Zhao, Yuzheng Liu, Jian Luo

“…We trained a highly accurate FNO to learn the solution operators of PDEs in HT, which can efficiently generate multiple channels of hydraulic head fields corresponding to specific pumping tests in new parameter fields through a single forward pass. The trained FNO surrogate model is integrated with the reduced geostatistical approach (RGA) to provide a powerful tool, named RGA‐FNO, for inverse modeling of Gaussian random fields. …”
Get full text

Modeling and Exploration of Localized Wave Phenomena in Optical Fibers Using the Generalized Kundu–Eckhaus Equation for Femtosecond Pulse Transmission by Ejaz Hussain, Ali H. Tedjani, Khizar Farooq, Beenish

“…Motivated by the generalized exponential rational integral function method, it proves to be a powerful tool for finding solutions involving the exponential, trigonometric, and hyperbolic functions. …”
Get full text

The Avalanche Terrain Exposure Scale (ATES) v.2 by G. Statham, G. Statham, C. Campbell

“…The system was originally introduced in Canada in 2004 as a risk management tool for public avalanche safety programs and uses two synonymous methods: one for terrain assessment and another for public communication. …”
Get full text

A Physics‐Informed Deep Learning Framework for Estimating Thermal Stratification in a Large Deep Reservoir by Yuan He, Xiaofan Yang

“…The proposed MP‐KgNN is expected to become a powerful tool for estimating long‐term variations in the thermodynamics of lake ecosystems.…”
Get full text

Can carbon reduction credit achieve the win-win of carbon emission reduction and stabilizing economic growth? E-DSGE simulation under the path of green technology innovation by Chen Bian, Zongyi Chen, Zhiguo Fan, Yuyong Tan

“…It validate the strategic value of carbon reduction credit mechanisms in advancing China’s sustainable development, providing an innovative policy tool for resolving the tension between environmental governance and economic growth.…”
Get full text

Analysis of installed photovoltaic capacity in Mexico: A systems dynamics and conformable fractional calculus approach by Jorge Manuel Barrios-Sánchez, Roberto Baeza-Serrato, Leonardo Martínez-Jiménez

“…The differential equations governing the growth were solved using the conformable derivative, which captures the complexity of the system's dynamics, including memory effects.The sensitivity analysis performed on both the exponential and sigmoidal models reveals that the fractional parameter $ \alpha = 0.8652 $ provides the best fit to the actual data from 2015 to 2023, reducing the average error to 16.52%. …”
Get full text

Machine Learning Reconstruction of Wyrtki Jet Seasonal Variability in the Equatorial Indian Ocean by Dandan Li, Shaojun Zheng, Chenyu Zheng, Lingling Xie, Li Yan

“…To address the scarcity of in situ observational data, this study developed a satellite remote sensing-driven multi-parameter coupled model and reconstructed the WJ’s seasonal variations using the XGBoost machine learning algorithm. …”
Get full text