Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

“…Abstract In this study, a hierarchical multi-label classification method called HFFNet-2d is proposed for the automatic classification of scanning electron microscope (SEM) images of metal failure. …”
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Review of frequency response strategies in renewable-dominated power system grids: Market adaptations and unit commitment formulation by Azeez O. Olasoji, D.T.O. Oyedokun, Samuel O. Omogoye, Chris Thron

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Research on Screening Method of Loess Slope Stability Evaluation Indexes Based on Validity and Reliability Coefficient by Jianlong Liao, Hongjun Sun, Jianchao An

“…The results showed that the 10 core indicators, including Cohesion, Internal Friction Angle, Maximum Monthly Rainfall, Rock Mass Structure, and Anthropogenic Engineering Activities, had a significant influence on loess slope stability, and the screening process effectively reduced the subjective bias and information redundancy. The method provides a data-driven theoretical framework for eolian slope risk assessment, which can improve the accuracy of landslide warning and the reliability of engineering protection design, and the engineering applicability of the model can be further optimized by combining the dynamic environmental parameters and multi-source monitoring data.…”
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A new bioslurry-induced restoration method via biomineralization for fragmented ceramic cultural relics by Yang Yang, Han Zhang, Liang Cheng, Lin Ye, Yuanjian Liu, Jinquan Shi, Jianwei Zhang, Yang Xiao, Hanlong Liu

“…This study presents a new restoration method for fragmented ceramic cultural relics using bioslurry-induced biocementation via a microbially induced calcium carbonate precipitation (MICP) process. …”
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The native Iranian soil bacteria with high potential to produce extracellular methionine gamma-lyase by Matin Nasirian, Mohsen Mobini-Dehkordi, Pegah Khosravian

“…In conclusion, this study presents a promising new methods for identifying potential L-methioninase producers and optimizing the culture medium for more enzyme production by microbial fermentation. …”
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A Camera Calibration Method for Temperature Measurements of Incandescent Objects Based on Quantum Efficiency Estimation by Vittorio Sala, Ambra Vandone, Michele Banfi, Federico Mazzucato, Stefano Baraldo, Anna Valente

“…However, temperature estimation from color remains challenging due to spectral overlaps among the color filters in the Bayer pattern, and a widely accepted calibration method is still missing. In this paper, the quantum efficiency of an imaging system including the camera sensor, lens, and filters is inferred from a sequence of images acquired by looking at a black body source between 700 °C and 1100 °C. …”
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On a Method for Calculating Bending and Shear Vibrations of a Porous Piezoelement in the Low-Frequency Region by A. N. Soloviev, V. A. Chebanenko, P. A. Oganesyan, E. I. Fomenko

“…The design of PEG is associated with the preliminary construction of their mathematical and computer models, with the help of which the calculation and optimization of structures is carried out. One of the ways to model and calculate PEG is to develop approximate calculation methods based on applied theories. …”
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POSSIBILITIES AND APPROACHES OF TEACHING OF HISTORY OF RUSSIA TO UNIVERSITY STUDENTS (THROUGH THE EXAMPLE OF HISTORICAL MATERIALS ON THE AGRARIAN QUESTION AND OF THE RUSSIAN SOCI... by Sergei N. Folomeev

“…The purpose of the study is to optimize the methods of its presentation, identification and comprehensive assessment of the academic aspects of this topic, justifying their role and importance for the quality of learning. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset obtained from the Kaggle platform was utilized to predict product quality. …”
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SYSTEMATIC ANALYSIS OF PERSPECTIVE TRENDS IN ECOLOGICAL AND BIOLOGICAL STUDIES OF THE CASPIAN SEA by G. M. Abdurakhmanov, A. F. Sokolsky, G. A. Kuanysheva, E. A. Sokolskaya, Yu. M. Brumshteyn

“…Analysis and mathematical processing of published literature sources has convincingly demonstrated the need for international cooperation to optimize the ecological and biological research. …”
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Insights into Biohydrogen Production Through Dark Fermentation of Food Waste: Substrate Properties, Inocula, and Pretreatment Strategies by Djangbadjoa Gbiete, Satyanarayana Narra, Damgou Mani Kongnine, Mona-Maria Narra, Michael Nelles

“…This review critically assesses food waste sources, focusing on their physical and chemical composition, pretreatment methods, and strategies for optimizing dark fermentative hydrogen production. …”
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Novel GSIP: GAN-based sperm-inspired pixel imputation for robust energy image reconstruction by Gamal M. Mahmoud, Wael Said, Magdy M. Fadel, Mostafa Elbaz

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Multi-scenario simulation of LULC and carbon dynamics in karst regions using the PLUS model by Caixia Ding, Caixia Ding, Zhongfa Zhou, Zhongfa Zhou, Zhongfa Zhou, Cui Wang, Cui Wang, Jie Kong, Jie Kong, Yanbi Wang, Yanbi Wang, Rukai Xie, Rukai Xie

“…Land cover change is an important cause of carbon source/sink changes in terrestrial ecosystems. Studying the relationship between land use transition and carbon sources/sinks is of great significance for optimizing regional land use planning, achieving sustainable development, and the “double carbon” goals. …”
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Intelligent Operation Dynamic Characteristics of Heat Pump System in Integrated Electric-thermal Cooperative Grid Based on Game Optimization Algorithm by Liang Anqi, Zeng Shuang, Ren Jiahang, Zhang Xinyue, Cao Feng, Yu Xiaoling, Song Yulong, Xing Qijing, Yang Xu, Ma Lin

“…software is used to simulate and study the dynamic characteristics of the system under six climate conditions in Beijing, and the game theory is used for intelligent operation, which is then compared with the logic control method. The results show that the logic control method can meet the load demand but cannot realize the efficient operation of the heat pump unit and the charge and discharge balance of the energy storage device. …”
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A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

“…Ear recognition and detection is a commonly used method in the yield prediction process for rice and wheat crops. …”
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Microbial decolorization of anthraquinone dyes: batch and continuous treatment systems - a mini-review by Swati Sambita Mohanty, Arvind Kumar

“…IntroductionEnvironmental pollution and human exposure to dyes, particularly anthraquinone-based dyes from industries like textiles, paints, plastics, paper, and tanneries (a significant source of toxic waste in India), have increased. These dyes in wastewater pose a serious environmental threat due to their complex structure and resistance to traditional degradation methods. …”
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Research on component compatibility and aging behavior of chemically toughened high-performance asphalt by Bin Huang, Bin Huang, Chenxi Wang, Yi Yang, Yi Yang, Yuchen Wang, Yuchen Wang, Yanan Zhao, Ruiyao Jiang

“…The compatibility between different oil-source asphalts and green high-viscosity modifiers critically determines the performance and aging resistance of modified asphalt materials.MethodsThis study systematically investigated three representative oilsource asphalts (noted as BA-A, BA-B, BA-C) combined with a novel green high-viscosity modifier to prepare chemically toughened high-performance asphalts (noted as HP-A, HP-B, HP-C). …”
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Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks by Faeik T. Al Rabee, Ala'Eddin Masadeh, Sharief Abdel-Razeq, Haythem Bany Salameh

“…Traditional optimization methods face challenges due to uncertainties in channel gains, EH, and blockages. …”
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Sensor Fault Detection and Diagnosis of Air-conditioning System Based on Improved Principal Component Analysis Method by Zhang Shuangshuang, Chen Huanxin, Zhang Hongtao, Guo Yabin

“…In this study, an improved principal component analysis method combining wavelet transform data optimization and neural network-based fault diagnosis optimization is proposed for the sensor fault detection and diagnosis in an air-conditioning system. …”
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Optimization of Sugar Extraction Process from Date Waste Using Full Factorial Design Toward Its Use for New Biotechnological Applications by Islam Sayah, Mondher Njehi, Nicola Cicero, Vincenzo Nava, Manel Ben M’hadheb, Hatem Majdoub, Sami Achour, Teresa Gervasi

“…However, dates are rich in sugars, which offer a renewable source of nutrients for various applications. In this study, sugar extraction from two low-grade pitted date fruits (Alig and Kentichi) under ultrasound, was optimized using full factorial design. …”
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