METHODOLOGY OF COGNITIVE-DISCURSIVE MODELLING OF LITERARY TRANSLATION (case study of Ukrainian retranslations of W. Shakespeare’s tragedies of the 19th–21st centuries) by Yana V. Boiko

“…Shakespeare’s tragedies as time-remote original works of England of the late 16th – early 17th centuries and their Ukrainian retranslations of the 19th–21st centuries. The algorithm of the complex methodology of cognitive-discursive modelling of literary translation, which incorporates the methods of discourse analysis and cognitive translation studies, involves five stages of construction of three modules: discursive, cognitive, and retranslation. …”
Get full text

Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders by Wei-Chun Hsu, Tommy Sugiarto, Yi-Jia Lin, Fu-Chi Yang, Zheng-Yi Lin, Chi-Tien Sun, Chun-Lung Hsu, Kuan-Nien Chou

“…A comparison of the various methods and features for classifying the three groups revealed that a combination of time domain and gait temporal feature-based classification with the Multilayer Perceptron (MLP) algorithm outperformed the other methods of feature-based classification. …”
Get full text

Decoding Agricultural Drought Resilience: A Triple-Validated Random Forest Framework Integrating Multi-Source Remote Sensing for High-Resolution Monitoring in the North China Plain by Xianyong Meng, Song Zhang, Guoqing Wang, Jianli Ding, Chengbin Chu, Jianyun Zhang, Hao Wang

“…The framework introduces three key innovations: (1) a systematic integration of six drought-related factors including vegetation condition index (VCI), temperature condition index (TCI), precipitation condition index (PCI), land cover type (LC), aspect (ASPECT), and available water capacity (AWC); (2) an optimized random forest algorithm configuration with 100 decision trees and enhanced feature extraction capability; and (3) a robust triple-validation strategy combining standardized precipitation evapotranspiration index (SPEI), comprehensive meteorological drought index (CI), and soil moisture verification. …”
Get full text

A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“…BERT demonstrates great potential for improving NLP technologies and contributing to the quality of automatic text analysis and offering new opportunities for research and application in a wide range  of areas including identification and arrangement of all types of content-relevant texts thus contributing to decision making. The designed and validated algorithm can be scaled for classification of as complex and ambiguous discourse as fiction thus improving our understanding of text specific categories.  …”
Get full text

Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences by Zhu Liang, Jiamin Li, Yihan Tang, Yaxuan Zhang, Chunyuan Chen, Siyuan Li, Xuefeng Wang, Xinyan Xu, Ziye Zhuang, Shuyan He, Biao Deng

“…Six models were built with a stacked learning algorithm. By applying stacked ensemble learning, three machine learning algorithms (XGBoost, multilayer perceptron (MLP), and random forest) were combined by XGBoost to produce the the six basic imaging models. …”
Get full text

Shield tunneling efficiency and stability enhancement based on interpretable machine learning and multi-objective optimization by Wenli Liu, Yang Chen, Tianxiang Liu, Wen Liu, Jue Li, Yangyang Chen

“…To address this problem, this paper proposes a hybrid intelligent optimization framework that combines interpretable machine learning, intelligent optimization algorithms, and multi-objective optimization and decision-making methods. …”
Get full text

Detection of abnormal tourist behavior in scenic spots based on optimized Gaussian model for background modeling by Liu Xiaohua

“…Three scenic spot scenes with different time and environmental conditions were set up to detect tourist ABD, and the results were compared with different existing anomaly detection algorithms. …”
Get full text

Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

Get full text

The First Step of AI in LEO SOPs: DRL-Driven Epoch Credibility Evaluation to Enhance Opportunistic Positioning Accuracy by Jiaqi Yin, Feilong Li, Ruidan Luo, Xiao Chen, Linhui Zhao, Hong Yuan, Guang Yang

Get full text

Dual-robot formation transport in random environment and narrow restricted area via improved DDPG navigation by Liang Tang, Ronggeng Ma, Bowen Chen, Yisen Niu

Get full text

A Cooperative Motion Control Using Leader-Follower Approach for Unmanned Underwater Vehicle by Jingxiang Feng, Yang Cao, Xueman Fan, Guang Yang, Jingwei Dong

Get full text

A Slack Departure Strategy for Demand Responsive Transit Based on Bounded Rationality by Hongfei Wang, Hongzhi Guan, Huanmei Qin, Wanying Li, Junze Zhu

Get full text

Guideline for the use of therapeutic drug monitoring of antipsychotics to individualize the selection of therapy in the treatment of exacerbation of schizophrenia by S. S. Potanin, M. M. Morozova, A. G. Beniashvili, D. S. Burminskiy, I. I. Miroshnichenko

Get full text

A cellular automata coupled multi-objective optimization framework for blue-green infrastructure spatial allocation by Qinghe Hou, Hanwen Xu, Mingkun Xie, Pingjia Luo, Yuning Cheng

Get full text

The effect of resampling techniques on the performances of machine learning clinical risk prediction models in the setting of severe class imbalance: development and internal valid... by Janny Xue Chen Ke, Arunachalam DhakshinaMurthy, Ronald B. George, Paula Branco

Get full text

Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study by Junchen Guo, Yunyun Dai, Sishan Jiang, Junqingzhao Liu, Xianghua Xu, Yongyi Chen

Get full text

YOLOv8 vs RetinaNet vs EfficientDet: A Comparative Analysis for Modern Object Detection by Sana Fatima, Najmi Ghani Haider, Rizwan Riaz

“…We compare these three algorithms using the COCO dataset, which mainly comprises three categories of data, which are discussed in this paper. …”
Get full text

Threshold Analysis of Request Degradation in the Computer Network by Vasilii P. Kirnos

“…The standard structure of a network of the application layer of the OSI model using the example of SBIS3 application (product of Tensor Company) is treated.Further, two approaches allowing to analyze degradations in a network are considered - on the basis of aggregated data and the operational analysis.The degradation study of more than 60 000 request types between two versions of application which works on the basis of the computer network is the cornerstone of the first decision. …”
Get full text

Energy Efficient Routing in Wireless Sensor Networks Based on Fuzzy Ant Colony Optimization by Ehsan Amiri, Hassan Keshavarz, Mojtaba Alizadeh, Mazdak Zamani, Touraj Khodadadi

Get full text

Resource Efficient Handover Strategy for LTE Femtocells by Sungkwan Youm, Jai-Jin Jung, Youngwoong Ko, Eui-Jik Kim

Get full text