Study on infrasonic leakage monitoring and signal processing for product oil pipeline by Yuanbo YIN, Yuxing LI, Wen YANG, Shu LU, Chen ZHANG, Cuiwei LIU, Kai YANG, Wuchang WANG

Get full text

Assessing Autonomous Emergency Braking: A Robust Approach Using Phenomenological Sensor Models by Jan Enno Maschke, Victor Preu, Malte Plenter, Stefan Schoenawa

Get full text

Evaluating the strength of industrial wastesbased concrete reinforced with steel fiber using advanced machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Vilma Fernanda Noboa Silva, Rodney Orlando Santillán Murillo, Rolando Fabián Zabala Vizuete, Paul Awoyera, Siva Avudaiappan

Get full text

Robust Photovoltaic Power Forecasting Model Under Complex Meteorological Conditions by Yuxiang Guo, Qiang Han, Tan Li, Huichu Fu, Meng Liang, Siwei Zhang

“…However, traditional PV power forecasting models designed for distributed PV power stations often struggle with accuracy due to unpredictable meteorological variations, data noise, non-stationary signals, and human-induced data collection errors. …”
Get full text

Seasonal lake‐to‐air temperature transfer functions derived from an analysis of 1395 modern lakes: A tool for reconstructing air temperature from proxy‐derived lake water temperatu... by Alexa Terrazas, Nathan Hwangbo, Alexandrea J. Arnold, Robert N. Ulrich, Aradhna Tripati

Get full text

Evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Rolando Marcel Torres Castillo, Siva Avudaiappan

“…The GMDH-NN model was created using GMDH Shell 3.0 software, while AdaBoost, SVR and kNN models were created using “Orange Data Mining” software version 3.36. Error indices such as the sum of squared error (SSE), mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and Error (%), and performance metrics such as Accuracy % and the R2 between predicted and calculated compressive strength parameters were used to evaluate the overall behavior of the models. …”
Get full text

Earlier Use of Long-Acting Injectable Paliperidone Palmitate Once-Monthly versus Oral Antipsychotics in Patients with Schizophrenia: An Integrated Patient-Level Meta Analysis of th... by Sajatovic M, Doring M, Lopena OJ, Johnston K, Turkoz I, Josiah N, Obando C

Get full text

Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators by Hoa Thi Nguyen, Roland Olsson, Oystein Haugen

Get full text

Timewise–dependent Coefficients Identification Problems for Third-Order Pseudo-Parabolic Equations from Nonlocal Extra Conditions by Mohammed S. Hussein, Sayl Gani, Taysir E. Dyhoum

“…We proved the existence and uniqueness of the solution of the two problems are being proved, but they still need to be proposed (since tiny perturbations in input data cause considerable errors in the output potential term). …”
Get full text

Development and Numerical Implementation of Plastic Damage Constitutive Model for Concrete Under Freeze–Thaw Cycling by Zhixuan Wang, Xiao Liu, Xiaoquan Shao, Jianyong Han, Yu Liu

Get full text

Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid

Get full text

Application of Curtain Grouting for Seepage Control in the Dongzhuang Dam: A 3D Fracture Network Modeling Approach by Ning Xia, Wen Nie, Zhenjia Yang, Yang Wu, Tuo Li

“…Reliability analysis confirms the robustness of the approach, with 99.91% of predictions within a ± 2 error margin. …”
Get full text

Nested PPM for Visible Light Communication With Heterogeneous Optical Receivers by Jan Mietzner, Lutz Lampe

“…In particular, with regard to a simplistic transmitter and receiver structure, we propose a “nested” pulse-position modulation (nPPM) scheme and show that it improves upon conventional time sharing, when the bit rate of the simple receiver is supposed to be retained, while realizing a higher bit rate for the sophisticated receiver. An analysis of the available signal-to-noise ratio at the receiver for a practical setting combined with analytical and simulated error performance results corroborates the feasibility of our approach. …”
Get full text

Improvement and Validation of a Smart Road Traffic Noise Model Based on Vehicles Tracking Using Image Recognition: EAgLE 3.0 by Claudio Guarnaccia, Ulysse Catherin, Aurora Mascolo, Domenico Rossi

Get full text

State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

Get full text

A parsimonious model for classifying the traffic state of urban road networks: A two-stage regression approach by Wei Huang, Dalin Tang, Xin Qiao, Guojun Chen

“…Third, the developed model is evaluated with three performance indicators, namely, the mean squared error (MSE), mean absolute error (MAE), and mean relative error (MRE). …”
Get full text

Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

Get full text

An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…This study provides a comprehensive analysis that carefully combines scientific data with the opinions of the local people, using ArcGIS tools to map the water quality at every point along the river. …”
Get full text

Prediction correction modeling of water-conducting fracture zones height due to repeated mining in close distance coal seams by Zhuoran Kang, Daming Yang, Pengfei Shen

“…Using principal component analysis and fuzzy comprehensive evaluation, we derived the combined weights of these factors. …”
Get full text

Rasch modelling vs. item facility: implications on the validity of assessments of Asian EFL/ESL vocabulary knowledge and lexical sophistication modelling by Liang Ye Tan, Stuart McLean, Young Ae Kim, Joseph P. Vitta

“…Namely, that Rasch (an IRT procedure) alone might not be sufficient for validation, although it could be preferable when conducting inferential testing because of its potential utility for reducing chances of Type II errors.…”
Get full text