Application of Artificial Neural Networks in Mineral Resource Evaluation by Saleh M. Al-Alawi, E.E. Tawo

“…Finally, the validated model was used to predict values at unsampled locations in order to determine the feasibility of drilling in these locations. …”
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Liver Enzymes as Surrogate Markers of Hepatitis C Histopathology – Avoiding the Liver Biopsy Needle? by Stephen GM Wong, Eric M Yoshida

“…Serum AST values correctly predicted the inflammatory grade in 63 of 79 (80%) patients, and the fibrosis stage in 50 of 79 (63%) patients - higher than the predictive values of ALT. Serum alanine aminotransferase (ALT) values did not correlate with the degree of histological inflammation (r=0.39) but did correlate mildly with the extent of hepatic fibrosis (r=0.51). …”
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Optimization of culture conditions of microalgae in an algal-bacterial system by response surface method by LUO Longzao, ZENG Fanjian, TIAN Guangming

“…After seven days of culture under the optimimum condition, the biomass of microalgae was 5.68 g/L, which was in accordance with the theoretically predicted value (5.69 g/L). The above results can lay a scientific basis for improving the resource recovery efficiency from wastewater by algal-bacterial system.…”
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The diagnostic accuracy of urine lipoarabinomannan test for tuberculosis screening in a South African correctional facility. by Yasmeen Hanifa, Lilanganee Telisinghe, Katherine L Fielding, Justin L Malden, Gavin J Churchyard, Alison D Grant, Salome Charalambous

“…Sensitivity, specificity and predictive values of LAM were calculated using definite and probable tuberculosis combined as our gold standard.…”
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LSTM-conformal forecasting-based bitcoin forecasting method for enhancing reliability. by Xiangyue Zhang, Yuyun Kang, Chao Li, Wenjing Wang, Keqing Wang

“…Subsequently, an LSTM model is built, and data are fed into it and the data is used to train the model to generate predictions. Finally, the predicted values generated by the LSTM are fed into the conformal prediction model, and confidence intervals for these values are generated to verify their reliability. …”
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Research on the Route Pricing Optimization Model of the Car-Free Carrier Platform Based on the BP Neural Network Algorithm by Yu-Ang Du

“…The test shows that the goodness of fit (R2) of the predicted value is close to 1, and the prediction error range is less than 3.7%, which proves the accuracy and effectiveness of the BP neural network model and provides an effective reference for the optimization of the pricing model of the car-free carrier platform.…”
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Local Functional Coefficient Autoregressive Model for Multistep Prediction of Chaotic Time Series by Liyun Su, Chenlong Li

“…The objective of this research study is to improve the performance of long-term forecasting of chaotic time series. To obtain the prediction values of chaotic time series, three steps are involved. …”
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Optimized Model Torque Prediction Control Strategy for BLDCM Torque Error and Speed Error Reduction System by Ye Yuan, Cheng Liu, Siyu Chen, Zhenxiong Zhou

“…The relative error between the training set and the predicted values is reduced, and a suitable interval is selected for the target. …”
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A New Approach on Vibrating Horns Design by Maria Violeta Guiman, Ioan Călin Roșca

“…The recorded values were compared with the predicted values. The numerical simulations and tests support the validity of the assumptions used in the horns optimization design.…”
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Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II by Qingqing Zhang, Guobao Jin, Guanghui Dai

“…The extrusion experiment results, taking three microtubes with different target size characteristics (1, 0.15), (1, 0.2), and (1.5, 0.2) as examples, show that the average error between the actual and predicted values of diameter and wall thickness of three microtubes is 6.53%, where the average diameter error is 7.3%, the wall thickness error is 5.77%, the maximum value is 9%, and the minimum value is only 1.3%.…”
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Model-output-based federated Bayesian optimization by Lin Yang, Qiqi Liu, Zhigang Zhao, Yunhe Wang, Junhua Gu

“…In this work, we propose an innovative FBO method that suggests transmitting the predicted values of surrogate models between the agent and the server and aggregating the weighted model output based on the similarity of the agent to address privacy concerns. …”
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Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers by Yulong Zhao, Ying Gao, Ke Zhang, Yao Zhang, Mingce Yu

“…The order of importance of the factors affecting the high-temperature performance of asphalt mixture is the gradation of asphalt mixture, asphalt-aggregate ratio, and molding temperature. Overall, the predicted values of the rut depth of the wheel-tracking test are very close to the measured values. …”
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In Search of an Accurate Evaluation of Intrahepatic Cholestasis of Pregnancy by Manuela Martinefski, Mario Contin, Silvia Lucangioli, Maria Beatriz Di Carlo, Valeria Tripodi

“…Serum bile acid profiles were evaluated using capillary electrophoresis in 38 healthy pregnant women and 32 ICP patients and it was calculated the sensitivity, specificity, accuracy, predictive values and the relationships of certain individual bile acids in pregnant women in order to replace TSBA determinations. …”
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Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods by Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl P. Davidson, Xuesong Xu, Varun Chaudhary, R.V. Ramanujan

“…The results show that the experimental property values of arc melted samples deviated less than 14% from predicted values. This work further explains how structural variations across synthesis methods impact property behavior, validating the robustness of ML-predicted compositions and highlighting a pathway for integrating processing conditions into alloy development.…”
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Determination Method of the Active Mg Content in the Melt of Ductile Iron by XU Zhen-yu, LI Da-yong, MA Xu-liang, WANG Li-hua

“…Within the scope of the Mg content of 0. 025% ～ 0. 06% ，the predicted value Mg% of magnesium content is correlated with corresponding thermal analysis solidification characteristic parameters significantly，so the calculated results are reliable. …”
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Robust personalized pricing under uncertainty of purchase probabilities by Shunnosuke Ikeda, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano

“…While it is essential for personalized pricing to predict the purchase probabilities for each consumer, these predicted values are inherently subject to unavoidable prediction errors that can negatively impact the realized revenues and profits. …”
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Optimization of enzymatic hydrolysis process for preparing xanthine oxidase inhibitory peptides from skipjack tuna by ZOU Lin, HANG Miaojia, LI Yang, DU Juan, FENG Fengqin

“…Under the optimal conditions, the degree of hydrolysis was 22.38%; nitrogen recovery was 83.81%; XOD inhibition activity was 62.26%; and the contents of carnosine and anserine were 0.05% and 2.45% (on a dried basis), respectively, which were all in good agreement with the predicted values. The XOD inhibitory peptides obtained were mainly composed of a fraction with molecular mass of less than 1 000 Da. …”
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Assessment of the Phase-to-Ground Fault Apparent Admittance Method with Phase/Ground Boundaries to Detect Types of Electrical Faults for Protective Relays Using Signature Library a... by Emilio C. Piesciorovsky, Marissa E. Morales Rodriguez

“…The measured and predicted values matched in more than 90% of the tests, and the PGFA admittance method with phase/ground boundaries presented an accuracy of 94.3% and a precision of 100%.…”
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Vibration Response and Evaluation Method of High-Speed Tracked Vehicles Driving Off-Road by Xin-yong Qiao, Ying Jin, Cheng Gu

“…The pros and cons of each approximate model were analyzed by comparing the approximate errors between the predicted values of the fitting model and the actual response values of the simulation model. …”
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Frictional Pressure Drop and Liquid Holdup of Churn Flow in Vertical Pipes with Different Viscosities by Zilong Liu, Yubin Su, Ming Lu, Zilong Zheng, Ruiquan Liao

“…By comparing the predicted values of existing models with the measured pressure drop data, the proposed model has better performance in predicting the pressure drop.…”
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