Experimental Studies on the Changes in Resistivity and Its Anisotropy Using Electrical Resistivity Tomography by Tao Zhu, Jian-Guo Zhou, Jin-Qi Hao

“…Our results show that with increasing pressure, resistivity and the decreased (D region) and increased (I region) resistivity regions have complex behaviors, but when pressure is higher than a certain value, the average resistivity decrease and the area of D region expand gradually in all time with the increase of pressure, which may be significant to the monitoring and prediction of earthquake, volcanic activities, and large-scale geologic motions. …”
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Modern Endoscopic Imaging in Diagnosis and Surveillance of Inflammatory Bowel Disease Patients by Gheorghe Hundorfean, Stephen P. Pereira, John G. Karstensen, Peter Vilmann, Adrian Saftoiu

“…Additionally, we discuss future directions and techniques as candidates for a superior inflammation imaging in the diagnosis and prediction of therapeutic response.…”
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A New Conformable Fractional-Order Time-Delay Grey Bernoulli Model with the Arithmetic Optimization Algorithm and Its Application in Rural Regional Economy by Ran Wang, Hui Liu, Qinwen Yang, Hongmei Du

“…Compared with the previous grey prediction models, the CFTDNGBM (1, 1) model with a conformable fractional-order accumulation operation (CFAO), time-delay factor, and Bernoulli parameter has stronger compatibility in structure. …”
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Yumuşak Güç Kavramı Çerçevesinde Avrasya Ekonomik Birliği ve Kuşak-Yol İnisiyatifinin Değerlendirilmesi by Göktürk TÜYSÜZOĞLU

“…However, the fact that both initiatives have generally targeted the same geography also leads to a prediction that China and Russia, which co-exist in the context of demand for systemic change in the current conjuncture, may lead to a long-term competitive conflic…”
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Dynamic Behavior of Self-Piercing Riveted and Mechanical Clinched Joints of Dissimilar Materials: An Experimental Comparative Investigation by Yulong Ge, Yong Xia

“…The influence of the strain-rate-dependent mechanical behavior of the substrates on the joints is examined; this can help improve prediction of the energy absorption of the joints under impact loading. …”
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Classification of reduction invariants with improved backpropagation by S. M. Shamsuddin, M. Darus, M. N. Sulaiman

“…On the other hand, backpropagation network has been used extensively in classification problems such as XOR problems, share prices prediction, and pattern recognition. This paper proposes an improved error signal of backpropagation network for classification of the reduction invariants using principal component analysis, for extracting the bulk of the useful information present in moment invariants of handwritten digits, leaving the redundant information behind. …”
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Infective Complications of Endobronchial Ultrasound-Transbronchial Needle Aspiration (EBUS-TBNA) and Clinical Biomarkers: A Concise Review by Pinelopi Bosgana, Dimitrios Ampazis, Vasileios Vlachakos, Argyrios Tzouvelekis, Fotios Sampsonas

“…In this review we attempt to summarize the risk factors related to these infective complications, along with useful biomarkers that can be used to identify patients that might develop infective complications, to facilitate the prediction or even prompt treatment of these.…”
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The Demise of Poskanzer and Schwab’s Influenza Theory on the Pathogenesis of Parkinson’s Disease by Danny Estupinan, Sunina Nathoo, Michael S. Okun

“…Schwab presented a paper, “Studies in the epidemiology of Parkinson’s disease predicting its disappearance as a major clinical entity by 1980.” …”
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Reliability-Based Analysis of Recycled Aggregate Concrete under Carbonation by Flora Faleschini, Mariano Angelo Zanini, Lorenzo Hofer

“…Many studies have already focused on carbonation-induced corrosion of natural aggregate concrete (NAC) structures, leading to several prediction models to estimate carbonation depth. Less research is devoted instead on recycled aggregate concrete (RAC), about which limited experimental works exist aimed at assessing the carbonation coefficient in accelerated tests. …”
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Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification by Oscar Castillo, Juan R. Castro, Patricia Melin, Antonio Rodriguez-Diaz

“…Simulation results of nonlinear function identification using the IT2FNN for one and three variables and for the Mackey-Glass chaotic time series prediction are presented to illustrate the concept of universal approximation.…”
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A Quasi-Two-Dimensional Physics-Based Model of HEMTs without Smoothing Functions for Joining Linear and Saturation Regions of I-V Characteristics by Eugeny A. Ryndin, Amgad A. Al-Saman, Boris G. Konoplev

“…The model provides precise simulating of HEMT transistors and can be utilized as a tool for analysis and prediction of influence of the material parameters on device and circuit characteristics.…”
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Detection of Adulteration in Canola Oil by Using GC-IMS and Chemometric Analysis by Tong Chen, Xinyu Chen, Daoli Lu, Bin Chen

“…Partial least square analysis (PLS) was used to build prediction models for adulterant oil level in canola oil. …”
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Maximum Power Point Tracking of PV Grids Using Deep Learning by K. Rafeeq Ahmed, Farrukh Sayeed, K. Logavani, T. J. Catherine, Shimpy Ralhan, Mahesh Singh, R. Thandaiah Prabu, B. Bala Subramanian, Adane Kassa

“…BPNN-DL enables the prediction of reference voltage at different weather conditions for severing the various output power that ensures maximum power with stable output voltage. …”
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Relationship between Monthly Rainfall in NW Peru and Tropical Sea Surface Temperature by Juan Bazo, María de las Nieves Lorenzo, Rosmeri Porfirio da Rocha

“…The results show that linear regression model is not enough to provide satisfactory results; however, a nonlinear regression model improves considerably the prediction of rainfall anomalies in NW Peru.…”
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Data Preprocessing Method and Fault Diagnosis Based on Evaluation Function of Information Contribution Degree by Siyu Ji, Chenglin Wen

“…However, the system modal update occurs from time to time. Prediction using the original model parameters will cause the output of the model to deviate greatly from the true value. …”
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Advanced flow cell design for in vitro release testing of mucoadhesive buccal films by Grilc Blaž, Zdovc Jurij, Planinšek Odon

“…It could be used as a tool for in vivo prediction of drug release rates from buccal film formulations. …”
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Implementation of multilinear look-up tables as surrogate models for the ethyl transesterification reactor in equation-oriented simulator EMSO by Christian de Oliveira Martins, Felipe Fernando Furlan, Roberto de Campos Giordano

“…To circumvent this problem, a hybrid surrogate model is proposed that combines the low-cost prediction of the average behavior by a simplified model with the fine tuning provided by a multilinear look-up table. …”
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Sublinear Expectation Nonlinear Regression for the Financial Risk Measurement and Management by Yunquan Song, Lu Lin

“…Several parameter estimations and model predictions are suggested, and the asymptotic normality of the estimation and the mini-max property of the prediction are obtained. …”
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Short-Term Forecasting of Global Energy and Metal Prices: VAR and VECM Approaches by Diana Balioz

“…Various versions of vector autoregression and error-correction models are applied to monthly data for the short-term prediction of nominal commodity prices six months ahead, and to examine forecast accuracy. …”
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MAGInet based on deep learning for magnetic multi-parameter inversion by Wudi Wen, Yi Li, Zhongle Liu

“…The results of these experiments demonstrate that the accuracy of multi-parameter prediction for complex structures can reach up to 97.5% under zero-error conditions. …”
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