Multi-factor person entity relation extraction model based on distant supervision by Yangchen HUANG, Yan JIA, Liang GAN, Jing XU, Jiuming HUANG, Zhonghe HE

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Dynamic critical behavior of the chiral phase transition from the real-time functional renormalization group by Johannes V. Roth, Yunxin Ye, Sören Schlichting, Lorenz von Smekal

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Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks by Maliheh Miri, Vahid Abootalebi, Hamid Saeedi-Sourck, Dimitri Van De Ville, Hamid Behjat

“…The selected features are fed into a binary support vector machine that predicts the label of the test trials. …”
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THE MODEL OF CONTROL VIA A WIRELESS COMMUNICATION CHANNEL BASED ON PROBABILISTIC ALGORITHMS OF CRYPTOGRAPHIC TRANSFORMATIONS by V. A. Kozlov, V. A. Ryndjuk, K. O. Bondarenko, V. O. Khachatryan

“…The algorithm is implemented by introducing into his scheme initialization vector which is transmitted to the control object in encrypted form, together with the cipher of the control action. …”
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Construction and application of a TCN-LSTM-SVM-based time series prediction model for water inflow in coal seam roofs by Xuan LIU, Yadong JI, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chaofeng LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

“…Accordingly,this study proposed a prediction model for water inflow along the mining face in the studied mine based on the temporal convolutional network (TCN), long short-term memory (LSTM), and support vector machine (SVM)—the TCN-LSTM-SVM model. First, by raw data processing using the TCN framework, this model extracted the dependency between mining footage and water inflow and its dynamic characteristics. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…The study also proposes the novel “Vector Value of the Radial Difference (VVRD)” metric, which effectively quantifies prediction trend accuracy. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

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An Encoder-Only Transformer Model for Depression Detection from Social Network Data: The DEENT Approach by Robinson Narvaez Burbano, Oscar Mauricio Caicedo Rendon, Carlos. A. Astudillo

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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions by Nora Darjazini, Mohammad Hossein Zarghami, Reza Ghorban Jahromi, Leila Shobeiry

“…Results: 260 features were extracted from the computer texts prepared from the speech and writing learners responses by natural language processing (NLP) algorithms. We used learning models of decision tree, nearest neighbor, support vector method, neural network and regularized linear method to predict reading comprehension using extracted linguistic features. …”
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Application of the spectral bisection algorithm for the analysis of criminal communities in social networks by K. M. Bondar, V. S. Dunin, P. B. Skripko, N. S. Khokhlov

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Time Frequency Analysis Based Fault Detection in PV Array Using Scaling Basis Chirplet Transform by S Ramana Kumar Joga, Chidurala SaiPrakash, Srikanth Velpula, Alivarani Mohapatra, Theophilus A. T. Kambo Jr.

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EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

“…The model employs a hybrid masking approach and RoBERTa (Robustly Optimized BERT Approach) to facilitate feature enhancement and word vector processing of text. Moreover, the model employs a convolutional neural network (CNN) and a multi-headed attention (MHA) mechanism to extract text features from multiple channels, effectively capturing both local and global features. …”
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Simultaneous Suppression of Even-Order and Third-Order Distortions in Directly Modulated Analog Photonic Links by Yao Ye, Lei Deng, Shichao Chen, Mengfan Cheng, Ming Tang, Songnian Fu, Minming Zhang, Di Zhang, Benxiong Huang, Deming Liu

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Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review by Ikram Bagri, Karim Tahiry, Aziz Hraiba, Achraf Touil, Ahmed Mousrij

“…Many industrial processes, from manufacturing to food processing, incorporate rotating elements as principal components in their production chain. …”
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Reliable unmanned aerial vehicle-based thermal infrared target detection method for monitoring Procapra przewalskii in Qinghai by Guoqing Zhang, Wei Luo, Yongxiang Zhao, Quanqin Shao, Lin Li, Keyu Mei, Guohong Li

“…Background-suppressed images can effectively minimize most background pixels, while regions with high vector values in optical flow–processed images indicate object positions. …”
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Research on the Movement Patterns of Bed-load Streaky Structure Transport and the Mechanism of Fluid-solid Coupling by YAO Jiateng, XIE Xiaoxi, WANG Hao, ZHAO Lin, XIE Haonan, ZHEN Rongtian

“…These bed surface structures once formed, exert a profound influence on the sediment transport process and the coherent structures of the water flows, indicating a reciprocal and intricate relationship. …”
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DEFORMATION WAVES AS A TRIGGER MECHANISM OF SEISMIC ACTIVITY IN SEISMIC ZONES OF THE CONTINENTAL LITHOSPHERE by S. I. Sherman

“…Four sections of this article present available principal data on impacts of wave processes on seismicity and new data. The first section reviews analytical and experimental studies aimed at identification of relationships between wave processes in the lithosphere and seismic activity manifested as space-and-time migration of individual earthquake foci or clusters of earthquakes. …”
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Prototype System for Supporting Medical Diagnosis Based on Voice Interviewing by Artur Samojluk, Piotr Artiemjew

“…The system processes the collected data to create information vectors for a selected group of diseases, allowing for an initial assessment of possible disease entities. …”
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Adaptive feature interaction enhancement network for text classification by Rui Su, Shangbing Gao, Kefan Zhao, Junqiang Zhang

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Contrastive Transformer Network for Track Segment Association with Two-Stage Online Method by Zongqing Cao, Bing Liu, Jianchao Yang, Ke Tan, Zheng Dai, Xingyu Lu, Hong Gu

“…Interrupted and multi-source track segment association (TSA) are two key challenges in target trajectory research within radar data processing. Traditional methods often rely on simplistic assumptions about target motion and statistical techniques for track association, leading to problems such as unrealistic assumptions, susceptibility to noise, and suboptimal performance limits. …”
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