Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning by Yuanzhi Sun, Guangbao Mi, Peijie Li, Liangju He

“…Abstract A machine learning model was developed to predict the oxidation resistance of Ti-V-Cr burn-resistant titanium alloy, and the natural logarithm of the parabolic oxidation rate constant (lnk p ) was utilized as the model output. The results show that the two algorithms based on multiple learners, gradient boosting decision tree (GBDT) and eXtreme Gradient Boosting (XGBoost), show better performance. …”
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Modeling of the flow time series for a short-term hydrological forecast by Tomasz Jarosław Siuta

“…This forecast is based on flow rates time series measured at the water gauge input and output cross sections of the river system with a daily delay without taking into account any precipitation data. …”
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Transmission Scheme for Massive MIMO Systems Using Nulling-Based Approach by Prateek Anand, Arti M.K., Manoranjan Kumar

“…In this paper, a new transmission scheme is proposed for massive multiple-input multiple-output (MIMO) systems which will improve the performance of future 5G systems in terms of data rate and spectral efficiency, while accommodating a large number of users. …”
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CHEMICAL REAGENTS FOR SELECTIVITY IN IMPROVEMENT OF RHEOLOGICAL PROPERTIES OF CRUDE OIL by VALI HANAQA NURULLAYEV, BEYBALA TACI USUBALIYEV, FIKRET SULEYMAN GEHREMANOV, ULKER FIKRET GEHREMANOVA

“…As a result, the corrosion rate of the oil-field equipment increases, the output of wells decreases and expenses of mining companies in general raise. …”
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Narrative Strategies and Intermedial Devices in Gabriel Josipovici’s In the fertile Land by Mário Semião

“…Even though his novelistic work by far exceeds his output in short fiction, Gabriel Josipovici’s contribution to this genre is nothing less than significant. …”
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An Augmented Estimation of the State of Charge and Measurement Fault for Lithium-ion Batteries for Off-Grid Stationary Applications by Mehrdad Yousefi Faal

“…On the other hand, low-cost sensors have some error in the form of bias or fault on their output, which causes an estimation error in the battery state of charge. …”
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Predicting GPR Signals from Concrete Structures Using Artificial Intelligence-Based Method by Wael Zatar, Tu T. Nguyen, Hai Nguyen

“…The sensitivity analysis was also conducted with the ANN model to investigate the effects of the input on the output parameters. Results from the sensitivity analysis revealed that the GPR reflection amplitudes were more sensitive to the changes of temperature parameter (TEM) and chloride contamination level (CCL), while they were less sensitive to the variation of ambient relative humidity (ARH) and rust condition on the rebar surface (CSR).…”
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Relationship between Water Resource Utilization and Industrial Structure in Jiangxi Province by HU Jiuwei, CHENG Jingqing, LI Yanhong, XU Junkai, TAN Yi

“…With the introduction of the national rigid constraint system for water resources,industrial development is facing hard constraints from the red line of water resources.To improve the efficiency of water resource utilization and promote the coordinated development of water resources and industries,this paper uses the SBM model considering unexpected output super efficiency and the global ML index to measure the water resource utilization efficiency and its dynamic changes in Jiangxi Province from 2011 to 2020.The Thiel index and other indicators are adopted to analyze industrial structure and layout changes,and the grey correlation method is applied to evaluate the relationship of water consumption and water use efficiency with the development of three industries.Research has found that there is a strong correlation between water resource utilization and industrial structure,and there is a clear regional differentiation characteristic in the relationship between them.The overall correlation between water use efficiency and industrial structure in Jiangxi Province is slightly higher than that of water consumption.The primary industry has the highest correlation with water resource utilization,followed by the secondary and tertiary industries,and regional differences also exist in each city.The overall efficiency of water use continues to improve,and the industry is developing towards higher levels.However,there are problems such as regional imbalance and coordination.Finally,suggestions such as differentiated assessment are proposed.…”
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Effect of Molten Corium Behavior Uncertainty on the Severe Accident Progress by Wonjun Choi, Taeseok Kim, Joongoo Jeon, Nam Kyung Kim, Sung Joong Kim

“…Uncertainty of a severe accident code output needs to be handled reliably considering its use in safety regulation of nuclear industry. …”
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Evaluating the Smoothness of the Washed Fabric after Laundry with the Washing Machine Based on a New Type-2 Fuzzy Neural Network by Mir Saeid Hesarian, Jafar Tavoosi

“…In this model the thickness, weight, warp and weft density per inch, warp and weft Tex as linear density, and cover factor of the fabric in warp and weft directions were considered as input parameters and the wrinkle grade of the washed fabric was output. Analysis of the modeling and experimental results illustrates that when eight mentioned parameters were selected as inputs, the mean square error, root mean square error, and mean absolute error of the model were decreased in comparison of the models with two, four, and six inputs. …”
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Bionics Design of Artificial Leg and Experimental Modeling Research of Pneumatic Artificial Muscles by Hualong Xie, Zhijie Li, Fei Li

“…Secondly, the PAM performance test platform is built to establish the relationship among output force, shrinkage rate, and input pressure under the measured isobaric conditions, and the mathematical model of PAM is established. …”
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Design of Positive, Negative, and Alternating Sign Generalized Logistic Maps by Wafaa S. Sayed, Ahmed G. Radwan, Hossam A. H. Fahmy

“…Based on the maximum chaotic range of the output, the proposed maps can be classified as positive logistic map, mostly positive logistic map, negative logistic map, and mostly negative logistic map. …”
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Detecting Anomaly Classification Using PCA-Kmeans and Ensembled Classifier for Wind Turbines by Prince Waqas Khan, Yung-Cheol Byun

“…The proposed methodology utilizes the output of the PCA-Kmeans model to label supervisory control and data acquisition (SCADA) data. …”
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Design and verification of monitoring system of DC microgrid based on Ethernet communication by Lirong Zhang, Xianwen Bao

“…The parameters of the inverter can be adjusted, and the output voltage waveform and sinusoidal pulse width modulation waveform of the inverter can be measured. …”
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Suitability of Hydraulic Disk Brakes for Passive Actuation of Upper-Extremity Rehabilitation Exoskeleton by Arno H. A. Stienen, Edsko E. G. Hekman, Alfred C. Schouten, Frans C. T. van der Helm, Herman van der Kooij

“…The evaluated disk brake has a 20 Nm bandwidth (flat-spectrum, multi-sine) of 10 Hz; sufficient for torques required for conventional therapy and simple, passive virtual environments. The maximum static output torque is 120 Nm, sufficient for isometric training of the upper extremity. …”
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Improving biometric recognition by means of score ratio, the likelihood ratio for non‐probabilistic classifiers. A benchmarking study by Carlos Vivaracho‐Pascual, Arancha Simon‐Hurtado, Esperanza Manso‐Martinez

“…Herein, an alternative method is proposed that is independent of the biometric characteristic and the system, as this proposal, Score Ratio, is applied to the output (comparison score) of the classifier. The Likelihood Ratio is widely used with probabilistic classifiers because it performs well in these circumstances. …”
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On the Error Rate Analysis of Dual-Hop Amplify-and-Forward Relaying in Generalized-K Fading Channels by George P. Efthymoglou, Nikolaos Bissias, Valentine A. Aalo

“…Therefore, we employ two different upper bound approximations for the output SNR, of which one is based on the minimum SNR of the two hops for each dual-hop relay link and the other is based on the geometric mean of the SNRs of the two hops. …”
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Methodology for Fault Detection Applied in Photovoltaic Plants Based on Inverter Power Curve Analysis by Paulo A. V. Vieira, João M. S. Callegari, Heverton Augusto Pereira

“…In such context, this paper proposes a methodology to characterize the main issues in photovoltaic plants, based on the analysis of the proposed inverter output power curve. Through power curve analysis, the most common anomalies and faults encountered in inverters are identified, providing a valuable tool for the early detection of operational issues. …”
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An extensive bibliometric analysis of pavement deterioration detection using sensors and machine learning: Trends, innovations, and future directions by Mehmet Rizelioğlu

“…A standard research score and cumulative output score were calculated to normalize differences in the data. …”
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Local changes in potassium ions regulate input integration in active dendrites. by Malthe S Nordentoft, Naoya Takahashi, Mathias S Heltberg, Mogens H Jensen, Rune N Rasmussen, Athanasia Papoutsi

“…Ultimately, these local effects amplify the gain of neuronal input-output transformations, causing higher orientation-tuned somatic firing rates without compromising orientation selectivity. …”
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