Series Arc Fault Detection Based on Improved Artificial Hummingbird Algorithm Optimizer Optimized XGBoost by Lichun Qi, Takahiro Kawaguchi, Seiji Hashimoto

“…Combining the parallel computing advantages and regularization strategies of XGBoost, a low-complexity, highly interpretable fault classification model is constructed. The hyperparameters of XGBoost are simultaneously optimized by AHA. …”
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Research Progress on Effects and Treatment of Microplastic Pollution in Freshwater Ecosystems by Tang Hongliang, Ma Jinlong, Xu Chenchen, Peng Songyao, Feng Lijuan

“…This paper reviews the definition, classification, sources, as well as distribution and migration patterns of microplastics in the freshwater environment. …”
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Translation Solutions for Sustainable Collocations of the English Political Mass Media Discourse by E. V. Terekhova, A. V. Zban

“…The article discusses the issues of syntactic-semantic solutions of fixed collocations translation. …”
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An Automated Repository for the Efficient Management of Complex Documentation by José Frade, Mário Antunes

“…This paper presents the development of an automated repository designed to streamline the collection, classification, and analysis of cybersecurity-related documents. …”
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Weighted Filter Bank and Regularization Common Spatial Pattern-Based Decoding Algorithm for Brain-Computer Interfaces by Jincai Ye, Jiajie Zhu, Shoulin Huang

“…This study provides a new approach to addressing the issues of individual differences and noise interference in EEG signals.…”
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Process approach to the analysis of Management efficiency at Transport enterprises by D. V. Berzin, A. A. Kochetkov

“…The article discusses theoretical and practical issues of the effectiveness of process management at transport sector enterprises in the Russian Federation. …”
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Fault Detection in Harmonic Drive Using Multi-Sensor Data Fusion and Gravitational Search Algorithm by Nan-Kai Hsieh, Tsung-Yu Yu

“…The optimized features are then input into a support vector machine (SVM) for fault classification, with K-fold cross-validation used to assess the model’s generalization capabilities. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…This paper presents a detailed literature review of the application of Federated Learning (FL) in brain tumor classification, focusing on the necessity of privacy-preserving ML using Magnetic Resonance Imaging (MRI) technology. …”
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Yakut Emigration: Features of Adaptation and Communication by E. P. Antonov, V. N. Antonova

“…The issues of adaptation of Yakut emigrants forced to escape the revolution, the Civil War and the Gulag to different countries are considered. …”
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Flash Attack Prognosis by Ensemble Supervised Learning for IoT Networks by M. Jagadeesh Babu, A.R Reddy

“…The IoT is also not exempted from vulnerability to security issues and is even more vulnerable as the networks of IoT are built of non-smart devices. …”
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Predicting students’ academic procrastination tendencies using online learning trajectories by Gisu Sanem Öztaş, Gökhan Akçapınar

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Écologie et dynamique spatio-temporelle des mangroves au Togo by Folega Fousseni, Rakotondrasoa Miaratiana Andrianamenoso, Wala Kpérkouma, Woegan Y. Agbelessessi, Kanda Madjouma, Pereki Hodabalo, Polo-Akpisso Aniko, Batawila Komlan, Akpagana Koffi

“…The hierarchical classification of forest inventory samples has identified three groupings of mangrove plants. …”
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On the Accuracy of RAS Method in an Emergent Economy by Emilian Dobrescu, Viorel Gaftea

“…In order to easier manipulate the available data base, the extended classification of economic activities containing 105 branches has been aggregated into 10 sectors. …”
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Economic Justification of tax Planning by M. A. Polyakova, A. V. Nosov

“…In the course of the work, the following methods of classification were used: abstract-logical, monographic, analytical, logical approach, comparison and generalization, etc.   …”
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ML-Based Pain Recognition Model Using Mixup Data Augmentation by Raghu M. Shantharam, Friedhelm Schwenker

“…Regularization techniques like mixup, which trains models on convex combinations of data pairs, address these issues by enhancing model generalization. While mixup has proven effective in image, speech, and text datasets, its application to time-series signals like electrodermal activity (EDA) is less explored. …”
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Truth and Tralatition in Terms of the Relationship Between Word and Meaning by Nurullah Şentürk

“…Because there is a causal relationship between words, words can occasionally go beyond literal meanings, which is also known as the dalalat of iltizam/indication of commitment. These are issues that are undoubtedly determined by the speaker or author. …”
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An Effective News Recommendation Method for Microblog User by Wanrong Gu, Shoubin Dong, Zhizhao Zeng, Jinchao He

“…In order to solve these issues, we propose an effective personalized news recommendation method based on microblog user profile building and sub class popularity prediction, in which we propose a news organization method using hybrid classification and clustering, implement a sub class popularity prediction method, and construct user profile according to our actual situation. …”
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STIMULATION AS AN EFFECTIVE DEVELOPMENT INSTRUMENT FOR BUILDING ORGANISATIONS by S. T. Ismailova, A. M. Yusufova

“…It is shown that under modern conditions, when high demands are placed on the process of stimulating the development of construction organisations and problems of ensuring its effectiveness are identified, issues relating to the classification of stimulation methods, conditions and factors disclosed in this article become especially important.Conclusion. …”
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A survey on multi-agent reinforcement learning and its application by Zepeng Ning, Lihua Xie

“…Some representative stochastic games, MARL means, spatial forms of MARL, and task classification are revisited. We then conduct an in-depth exploration of a variety of challenges encountered in MARL applications. …”
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A Comprehensive Review of Digital Twins Technology in Agriculture by Ruixue Zhang, Huate Zhu, Qinglin Chang, Qirong Mao

“…Despite its promising potential, the adoption of DTs in agriculture faces several technical challenges, including data acquisition issues, integration difficulties, and the standardization of 3D crop models. …”
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