Development of a model for predicting money laundering rate by E. S. Anisimov, J. M. Beketnova

“…The article suggests model for predicting the level of money laundering on the basis of data from the Ministry of Internal Affairs of the Russian Federation on the state of economic crime in Russia since the beginning of 2011. …”
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On the interpretability of the SVM model for predicting infant mortality in Bangladesh by Md Abu Sayeed, Azizur Rahman, Atikur Rahman, Rumana Rois

“…Abstract Background Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. …”
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QSAR Models for Predicting the Antioxidant Potential of Chemical Substances by Sofia Ghironi, Edoardo Luca Viganò, Gianluca Selvestrel, Emilio Benfenati

“…Given these results, we developed an integrated method that not only outperformed the individual models, achieving an R² of 0.78 on the external test set, but also provided valuable insights into the range of predicted values.…”
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Predicting the Evolution of the Supercontinuum Generation With CNN-LSTM Model by Yi Feng, Ruiyuan Liu, Xinyue Chang, Xiangzhen Huang, Yuan He, Ning Li, Tiantian Zhou, Chujun Zhao

“…The hybrid model can use the CNN model to extract and map the local features of the sequence, followed by the LSTM to predict the overall trend of the SC generation. …”
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Generalizable deep learning models for predicting laboratory earthquakes by Chonglang Wang, Kaiwen Xia, Wei Yao, Chris Marone

“…Abstract Machine learning models can predict laboratory earthquakes using Acoustic emission, the lab equivalent of microseismicity, and changes in fault zone elastic properties during the lab seismic cycle. …”
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Simplified kinetic modeling for predicting the stability of complex biotherapeutics by Mitja Zidar, Stefano Cucuzza, Matjaž Bončina, Drago Kuzman

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Tabular Data Models for Predicting Art Auction Results by Patryk Mauer, Szczepan Paszkiel

“…Additionally, we address the interpretability of models, which is crucial for understanding the influence of various features on predictions. …”
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Predicting waste generation using Bayesian model averaging by M.G. Hoang, T. Fujiwara, S.T. Pham Phu, K.T. Nguyen Thi

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Modeling and Predicting Time Series with Non-stationarity and Volatility by FENG Qiang, ZHAO Jianguang, YANG Rong, NIU Baoning

“…When dealing with volatility, LSTM models with a single-head attention mechanism are usually used, which have weak ability to capture global dependencies and affect prediction accuracy. …”
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Economic-mathematical model for predicting financial market dynamics by Artur R. Musin

“…The main study purpose is developing a predictive economic-mathematical model that allows combining both approaches. …”
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Modeling and Model Predictive Power and Rate Control of Wireless Communication Networks by Cunwu Han, Dehui Sun, Song Bi, Lei Liu, Zhengxi Li

“…A robust delay-dependent model predictive power and rate control method is proposed, and the state feedback control law is obtained by solving an optimization problem that is derived by using linear matrix inequality (LMI) techniques. …”
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Language models outperform cloze predictability in a cognitive model of reading. by Adrielli Tina Lopes Rego, Joshua Snell, Martijn Meeter

“…Computational models of reading traditionally use cloze norming as a proxy of word predictability, but what cloze norms precisely capture remains unclear. …”
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Model for Reliability Prediction of Thick Film Resistors by D. S. Campbell, R. B. Pranchov

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Study on predictive models for COVID-19 in Cuba by Juan Felipe Medina Mendieta, Manuel Eduardo Cortés Cortés, Manuel Cortés Iglesias, Annia del Carmen Pérez Fernández, Marianelis Manzano Cabrera

“…<br /><strong>Results:</strong> there is an adequacy of the presented models with respect to the predicted and the real values which allow their reliability for the predictions made for Cuba.…”
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A multimodal model for protein function prediction by Yu Mao, WenHui Xu, Yue Shun, LongXin Chai, Lei Xue, Yong Yang, Mei Li

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Risk-Stratified Predictive Models of Pregnancy Loss by O. V. Shirai, B. I. Aslanov, S. V. Rishchuk, S. E. Melnikova

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Model for non-periodic time series prediction by CAO Jianwen, WEI Xingbao, YANG Yi, LI Caihong, ZHAO Wenqing

“…To effectively forecast non-periodic time series, the ILTNet model was proposed based on the Informer model. The ILTNet model integrated linear prediction (AR model) and nonlinear prediction (Informer model and recurrent skip components), enabling effective capture of long-term dependencies. …”
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STVMamba: precipitation nowcasting with spatiotemporal prediction model by Maoyang Zou, Longrui Wen, Yuanyuan Huang, Yuan He, Jingzhong Xiao

“…Deep learning methods such as recurrent, convolutional, and Transformer models have been applied to precipitation prediction. …”
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Probabilistic medical predictions of large language models by Bowen Gu, Rishi J. Desai, Kueiyu Joshua Lin, Jie Yang

“…Abstract Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. …”
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Prediction Model of Pipeline Push Resistance in Tunnels by Lianmin Cao, Mingxing Zhu, Dekang Zhang, Ying Zhen, Xu Zhang, Yuguang Cao

“…Accurate determination of pipeline push resistance and the selection of an appropriate pipe pusher model are crucial factors for successful construction. …”
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