Funding the future: Nigeria's battle against poverty through government expenditure by Temitope Adebayo

“…However, the error correction mechanism indicates a notably slow adjustment process (-0.000376), suggesting structural impediments to poverty reduction efforts. …”
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Intelligent recognition technology of high speed moving target contour in dynamic visual scene by Min Qiu

“…If the target is accompanied by high acceleration, motion blur will occur during the imaging process, increasing the difficulty of contour extraction and causing deviation in target recognition. …”
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Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy by Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu

“…Finally, particle swarm optimization support vector machine (PSO-SVM) is adopted to distinguish different work states of hydraulic pumps. …”
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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…This approach enables us to bring in quantitative and qualitative aspects of the decision-making process like the customers’ behavior, their preferences, and demographic data. …”
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Design and Analysis of an Expert System for the Detection and Recognition of Criminal Faces by Rishi Gupta, Amit Kumar Gupta, Deepak Panwar, Ashish Jain, Partha Chakraborty

“…The process of identifying a person using their facial traits is referred to as face recognition, and it is a form of biometric identification. …”
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Measuring the polarization of boosted, hadronic W bosons with jet substructure observables by Songshaptak De, Vikram Rentala, William Shepherd

“…As a test case, we study the efficacy of our technique on vector boson scattering (VBS) processes at the high luminosity Large Hadron Collider. …”
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A Real-Time Key-Finding Algorithm Based on the Signature of Fifths by Paulina KANIA, Dariusz KANIA, Tomasz ŁUKASZEWICZ

“…The technique is based on geometrical relationships existing between twelve polar vectors inscribed in the circle of fifths, which represent individual pitch-classes detected in a given composition. …”
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A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…During the face recognition process, feature classification ability and reliability are determined by the feature extraction methods. …”
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Evaluation of Ground Displacements Caused by Installing Jet Grouted Columns Using Machine Learning Methods by Zhi-Feng Wang, Xing-Bin Peng, Yong Liu, Wen-Chieh Cheng, Ya-Qiong Wang, Chao-Jun Wu

“…During the jet grouting process, large volumes of high pressurized fluids injected into the soils will cause significant ground displacements, which may bring harmful impacts on surrounding environment. …”
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Study on Zero-Doppler Centroid Control for GEO SAR Ground Observation by Yicheng Jiang, Bin Hu, Yun Zhang, Meng Lian, Zhuoqun Wang

“…In geosynchronous Earth orbit SAR (GEO SAR), Doppler centroid compensation is a key step for imaging process, which could be performed by the attitude steering of a satellite platform. …”
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Russia and China: Strategy and Tactics of ESG-Interaction by Yu. V. Mankevich

“…The relevance of the topic is due to the strengthening of the Asian vector of Russian interaction. In the context of increasing cross-country interaction, when building ESG policy, it is important to determine the strategy and tactics of ESG-interaction, points of contact and factors for further growth, which will be the purpose of this work. …”
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“Our father, the great and stern Genghis Khan”: The “Mongolian legacy” in the Eurasian concept by Bystryukov V.Yu.

“…Anti-Westernism became the ideological vector of the new movement; the catastrophe of 1917 was directly associated with the dominance of European culture in the Russian Empire. …”
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A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery by Songrong Luo, Junsheng Cheng, Kexiang Wei

“…The fault diagnosis process is essentially a class discrimination problem. …”
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A Study on the Effect of Plastic Strain on Magnetic Phenomenology and Microstructure by Mehrija Hasičić, Spyridon Angelopoulos, Aphrodite Ktena, Evangelos Hristoforou

“…In particular, we study the effect of strain on the magnetization process as a result of varying the anisotropy profile at the grain level. …”
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A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks by Gizem Irmak, Ahmet Saygılı

“…The results of this study demonstrate that the proposed approach outperforms state-of-the-art studies in terms of accuracy. The classification process covered various scenarios, including binary classification (healthy vs. unhealthy), 6-class classification, and 10-class classification for distinguishing different types of diseases. …”
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Application of Fuzzy-RBF-CNN Ensemble Model for Short-Term Load Forecasting by Mohini Yadav, Majid Jamil, Mohammad Rizwan, Richa Kapoor

“…Accurate load forecasting (LF) plays an important role in the operation and decision-making process of the power grid. Although the stochastic and nonlinear behavior of loads is highly dependent on consumer energy requirements, that demands a high level of accuracy in LF. …”
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Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context by Ana Gavrovska, Goran Zajić, Vesna Bogdanović, Irini Reljin, Branimir Reljin

“…The analysis of heart sound patterns is performed using support vector machine classifier showing promising results (above 95% accuracy). …”
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Accuracy Prediction of Compressive Strength of Concrete Incorporating Recycled Aggregate Using Ensemble Learning Algorithms: Multinational Dataset by Menghay Phoeuk, Minho Kwon

“…The CatBoost model performed the best, exhibiting an R2 of 0.938 and low mean absolute error and root mean squared error values of 2.639 and 3.885, respectively, in the blind evaluation process. Although the random forest regression algorithm performed the least well among the four models, it still outperformed conventional machine learning algorithms such as support vector machines and artificial neural networks. …”
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Interval Forecasting of Carbon Futures Prices Using a Novel Hybrid Approach with Exogenous Variables by Lu Zhang, Junbiao Zhang, Tao Xiong, Chiao Su

“…Furthermore, we set out to investigate if considering some potential predictors, which have strong influence on carbon futures prices, in modeling process is useful for achieving better prediction performance. …”
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Photocatalytic methane conversion to high-value chemicals by Youxun Xu, Enqi Chen, Junwang Tang

“…As a very abundant carbon and hydrogen source, as well as an energy vector, upgrading methane to higher-value fuels and chemicals (carbon oxygenates, C2+ hydrocarbons, etc.) is a promising technology in the supply of energy and chemicals by a low-carbon process. …”
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