Modeling Political Discourse in Indonesia’s 2024 Election Using Unsupervised Machine Learning by Malikhatul Ibriza, Maya Rini Handayani, Wenty Dwi Yuniarti, Khothibul Umam

“…The 2024 General Election in Indonesia has generated a large volume of diverse and unstructured digital political discourse, necessitating a machine learning-based analytical approach for efficient, objective, and scalable data processing. …”
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The Amplitude and Frequency Spectrum of Skin Blood Flow Fluctuations in Acute Blood Loss (An Experimental Study) by I. A. Ryzhkov, I. S. Novoderzhkina, Yu. V. Zarzhetsky

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Research on the Multidimensional Frailty in Community-dwelling Older Adults by ZHAO Linlin, LUO Qi, HU Qinghua, CHEN Xiaolei, DU Juan, SHAO Shuang

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Effect of Perfluorane on the Amplitude-Frequency Spectrum of Fluctuations in Cerebral Blood Flow in Hemorrhagic Hypotension and During the Reperfusion Period by I. A. Ryzhkov, Yu. V. Zarzhetsky, I. S. Novoderzhkina

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Study of equipment deformation based on high-speed photography using a vibrating platform by X. Mai, X. Biao, Q. Hui, P. Mingjing, Zh. Ao, D. Zhaowen, Y. Zhifeng

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EFFECT OF PERFLUORANE ON THE REGULATION OF SKIN BLOOD FLOW IN ACUTE BLOOD LOSS: EXPERIMENTAL STUDY by I. A. Ryzhkov, Yu. V. Zarzhetsky, I. S. Novoderzhkina

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Succession Patterns of Microbial Community and Changes in Flavor Compounds during the Production of High-Temperature Sauce-Flavor Daqu by DING Ze, CHEN Xi, LI Jinyang, NIU Jialiang, DU Binghao, LI Weiwei, LONG Yao, LANG Ying, SUN Baoguo, LI Xiuting

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AI-enhanced real-time monitoring of marine pollution: part 1-A state-of-the-art and scoping review by Navya Prakash, Navya Prakash, Oliver Zielinski, Oliver Zielinski

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STRUCTURE OF METHODOLOGY OF CURRENT PLANNING OF WORK OF CARGO TRANSPORT ENTERPRISE by L. S. Trofimova, N. G. Pevnev

“…The use of the system analysis allowed to develop a general scheme of the research, which includes theoretical and experimental  research. …”
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STRATEGIC MONITORINGOF OF THE EXTERNAL ENVIRONMENT IN THE SYSTEM OF ENSURING THE FINANCIAL AND ECONOMIC SECURITY OF THE STATE, REGION, ENTERPRISE by Tetiana Momot, Oleksandr Vashchenko, Roman Teslenko, Daryna Momot

“…The following methods are used: abstract logical analysis, theoretical generalization, system and statistical analysis. …”
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DenseNet-Enabled Intelligent Ship Energy Consumption Prediction Method with Navigation Information and Environmental Factors by Gulashan Tang, Rui Luo, Bin Huang, Xiang Li, Hui Ma

“…Firstly, due to the fact that the real-time fuel consumption is influenced by a variety of internal and external factors, multi-source monitoring data are obtained and analyzed. After data analysis and feature extraction, the processed data and features are utilized to establish the prediction model. …”
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Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…The proposed model addresses the limitations of conventional method such as SVR, SARIMA and LSTM by integrating polynomial interaction terms with L2 regularization to balance model complexity and generalization. A total of 12 features including operational variables and nonlinear combinations are pre-processed using outlier detection normalization and interpolation techniques. …”
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Big Data Analytics in IoT, social media, NLP, and information security: trends, challenges, and applications by Kamal Taha

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Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

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Single-Stage Entity–Relation Joint Extraction of Pesticide Registration Information Based on HT-BES Multi-Dimensional Labeling Strategy by Chenyang Dong, Shiyu Xi, Yinchao Che, Shufeng Xiong, Xinming Ma, Lei Xi, Shuping Xiong

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A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data by Yubin Wang, Shirong Qiang, Xin Yue, Tao Li, Keyong Zhang

“…Based on this, this study proposes and constructs a two-layer causal knowledge network by leveraging the causal knowledge generated and applied in the process of quality problem solving to address the “duality” characteristic of the cause analysis of quality problems. …”
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Thermodynamic and Technological Studies of the Electric Smelting of Satpaevsk Ilmenite Concentrates by Maxat K. Myrzakulov, Saltanat K. Jumankulova, Madina B. Barmenshinova, Nikita V. Martyushev, Vadim Y. Skeeba, Viktor V. Kondratiev, Antonina I. Karlina

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Selecting Appropriate Model Complexity: An Example of Tracer Inversion for Thermal Prediction in Enhanced Geothermal Systems by Hui Wu, Zhijun Jin, Su Jiang, Hewei Tang, Joseph P. Morris, Jinjiang Zhang, Bo Zhang

“…Abstract A major challenge in the inversion of subsurface parameters is the ill‐posedness issue caused by the inherent subsurface complexities and the generally spatially sparse data. Appropriate simplifications of inversion models are thus necessary to make the inversion process tractable and meanwhile preserve the predictive ability of the inversion results. …”
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Forecasting the solvency of PJSC IC "Rosgosstrakh" to determine financial stability for the period up to 2026 by V. P. Akinina, I. R. Temirbulatova

“…In the process of research, methods of comparisons, analogies, factor analysis, calculation-constructive methods, groupings, economic and statistical methods, generalizations and other methods of scientific research were used.Results and discussion. …”
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Federated learning-based CT liver tumor detection using a teacher‒student SANet with semisupervised learning by Cheng-Shun Lee, Jenn-Jier James Lien, Kai Chain, Li-Chun Huang, Zhong-Wei Hsu

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