The Application of SVMs Method on Exchange Rates Fluctuation by Zuoquan Zhang, Qin Zhao

“…Then, based on the data of today and three days before, the SVMs give a prediction of tomorrow price. The experiment shows that the predicting accuracy is all greater than 60%.…”
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On a general convergence for Broyden like update method by Rabindranath Sen, Rini Chattopadhyay, Tripti Saha

“…The approach is different from those of other convergence proofs which are available only for the direct prediction methods.…”
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Research and application of XGBoost in imbalanced data by Ping Zhang, Yiqiao Jia, Youlin Shang

“…At the same time, the optimal parameters are automatically searched and adjusted through the Bayesian optimization algorithm to realize classification prediction. In the experimental stage, the G-mean and area under the curve (AUC) values are used as evaluation indicators to compare and analyze the classification performance of different sampling methods and algorithm models. …”
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Systematic of binary phase diagrams, formed by low-melting elements (Bi, Sn, Zn, In) and the metals of IV-th and V-th periods by Vassilev G.

“…The systematization helps to determine the scope and the limits of such an approach. These predictions have been compared with experimental data about the respective binary systems studied by the author. …”
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Physics Informed by Deep Learning: Numerical Solutions of Modified Korteweg-de Vries Equation by Yuexing Bai, Temuer Chaolu, Sudao Bilige

“…In this paper, with the aid of symbolic computation system Python and based on the deep neural network (DNN), automatic differentiation (AD), and limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) optimization algorithms, we discussed the modified Korteweg-de Vries (mkdv) equation to obtain numerical solutions. From the predicted solution and the expected solution, the resulting prediction error reaches 10−6. …”
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Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory by Shuxu Zhao, Xinyuan Chen, Xiaolong Wang

“…Therefore, in this article, based on the vehicle trajectories, the edge resource allocation algorithm and load balancing algorithm are used to obtain the load prediction value of the edge server and then calculate the optimal edge resource quantity in order to reduce the resource idleness as much as possible. …”
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The Use of Big Data to Improve Human Health: How Experience From other Industries Will Shape the Future by Timothy E Hewett, Greg Olsen, Mark Atkinson

“…This commentary discusses what those differences are (Project vs Product Focus, Independent vs Integrated Efforts, Causality vs Prediction Driven, Statistical vs Machine Learning Centricity) why they exist, and the future convergence that we believe is on the horizon. …”
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Key Considerations in the Modeling of Tropical Maritime Microwave Attenuations by Yee Hui Lee, Yu Song Meng

“…Multiray propagations and ducting of radio waves have been highlighted and considered in over-sea path loss modeling and prediction. It is noted that the sea-surface reflection is an important contribution in the received field, while the duct layers could enhance the radio-wave propagations. …”
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The Impact of p53 and Ki67 Expression in Endometrial Cancer and its Effect on Survival by Zekiye Sahin, Burak Bayraktar, Tugba Karadeniz, Muzaffer Sanci

“…CONCLUSION: p53 and Ki67 can be new markers for the prediction of prognosis and duration in endometrial cancer. …”
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Radiomics-based biomarker for PD-1 status and prognosis analysis in patients with HCC by Gulizaina Hapaer, Feng Che, Qing Xu, Qian Li, Ailin Liang, Zhou Wang, Jituome Ziluo, Xin Zhang, Yi Wei, Yuan Yuan, Bin Song, Bin Song

“…Radiomics-predicted PD-1 was an independent predictor of OS of patients treated with sorafenib after surgery. …”
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Prediksi Mahasiswa Drop-Out Di Universitas XYZ by Tubagus Ahmad Marzuqi, Evelline Kristiani, Marcel

“…The results indicate that the predictive model using the Random Forest algorithm achieved an accuracy of 99.67%. …”
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Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis by Zikun Huang, Qing Luo, Cuifen Xiong, Haiyan Zhu, Chao Yu, Jianqing Xu, Yiping Peng, Junming Li, Aiping Le

“…The test cohort exhibited a sensitivity of 75.8% and a specificity of 91.2%. Within the prediction group, the sensitivity and specificity were 73.1% and 92.5%, respectively. …”
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Artificial Intelligence and Radiomics in Cholangiocarcinoma: A Comprehensive Review by Marta Zerunian, Tiziano Polidori, Federica Palmeri, Stefano Nardacci, Antonella Del Gaudio, Benedetta Masci, Giuseppe Tremamunno, Michela Polici, Domenico De Santis, Francesco Pucciarelli, Andrea Laghi, Damiano Caruso

“…The aim of this review is to provide an overview of how radiological features of CCA can be analyzed through radiomics and with the help of AI for many different purposes, such as differential diagnosis, the prediction of lymph node metastasis, the defining of prognostic groups, and the prediction of early recurrence. …”
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Maternal History and Uterine Artery Doppler in the Assessment of Risk for Development of Early- and Late-Onset Preeclampsia and Intrauterine Growth Restriction by Elisa Llurba, Elena Carreras, Eduard Gratacós, Miquel Juan, Judith Astor, Angels Vives, Eduard Hermosilla, Ines Calero, Pilar Millán, Bárbara García-Valdecasas, Lluís Cabero

“…To examine the value of one-step uterine artery Doppler at 20 weeks of gestation in the prediction pre-eclampsia (PE) and/or intrauterine growth restriction (IUGR). …”
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Modelling Hysteresis in Shape Memory Alloys Using LSTM Recurrent Neural Network by Mohammad Reza Zakerzadeh, Seyedkeivan Naseri, Payam Naseri

“…Evaluation of the LSTM model is conducted in two configurations: online prediction (one-step ahead) and offline prediction (multistep ahead). …”
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Genesis of the Daping Gold Deposit in the Middle Xuefeng Mountain Area, Southern China: Constraints from Geochemistry, Fluid Inclusion, and H-O-S Isotope by Xu Kong, Wen-Tian Mi, Xue-Yuan Qi, Shu-Jun Lǚ, Yu-Jun Dong, Jie Xin

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ABCD3-I and ABCD2 Scores in a TIA Population with Low Stroke Risk by Fredrik Ildstad, Hanne Ellekjær, Torgeir Wethal, Stian Lydersen, Hild Fjærtoft, Bent Indredavik

“…The ABCD2 score did not predict subsequent stroke accurately at any time point. …”
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Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy by Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Espen F. Alexander Ihlen

“…This paper tests the reliability and applicability of Explainable AI (XAI) methods using a deep learning method that predicts CP by analyzing skeletal data extracted from video recordings of infant movements. …”
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A physically-based formulation for texture evolution during dynamic recrystallization. A case study of ice by Chauve, Thomas, Montagnat, Maurine, Dansereau, Véronique, Saramito, Pierre, Fourteau, Kévin, Tommasi, Andréa

“…However, this prediction remains a challenge.We propose a new formulation for modeling texture evolution due to dynamic recrystallization on the basis of observations of the evolution of the microstructure and texture of ice deforming by dislocation creep and dynamic recrystallization. …”
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Determination of the quantitative content of chlorophylls in leaves by reflection spectra using the random forest algorithm by E. A. Urbanovich, D. A. Afonnikov, S. V. Nikolaev

“…In the second case, the predictions of this method had a large error for small values of chlorophyll, while the third-party method had acceptable predictions. …”
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