Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM by DING Xiaofeng, ZHANG Yuhua

“…To solve the challenges related to non-stationary vibration signals in gearboxes, i.e. difficult feature extraction, high redundancy of feature vectors and low fault identification rate, this paper proposed a method of feature extraction and fault diagnosis of gearboxes based on the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), multi-scale permutation entropy (MPE), random forest (RF) feature importance ranking and support vector machine (SVM). …”
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Aplicación del modelo de evaluación de proyectos habitacionales para la medición de la satisfacción de las necesidades del usuario Applications of a housing project evaluation mode... by Adalberto Pandolfo, José W Rojas, Juliana Kurek, Luciana Pandolfo, Rafael Lublo, Jalusa Guimaráes, Renata Reinehr

“…It consists of the application of standardized procedures that organize and process the information, generating, as result, performance pointers and the unnecessary costs proceeding from elements of the construction, that they do not add value to the housing. These unnecessary costs are on to the functions of the housing perceived by the user…”
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DEVELOPMENT OF THE AXIOSPHERE OF THE FUTURE TEACHER IN THE DIALOGUE SPACE OF MODERN EDUCATION by N. A. Astashova, S. K. Bondyreva, A. P. Smantser

“…A teacher is a bearer of values. One of the main functions of the teacher is the education of the younger generation, the introduction of the person to moral ethics and universal values. …”
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A Dynamic Neural Network Optimization Model for Heavy Metal Content Prediction in Farmland Soil by Kun Cao, Cong Zhang, Liangliang Li, Shuaifeng Li

“…Through comparison with support vector machine(SVM), light gradient boosting machine(LightGBM), RBFNN, and genetic algorithm optimizes the radial basis function neural network(GA-RBFNN), the experimental results demonstrate that the DNNOM is closer to the real value than the other four models, and the four error indicator values are also significantly lower than those of the other comparison models, which have higher prediction accuracy. …”
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The differential orbitofrontal activity and connectivity between atypical and typical major depressive disorder by Zhi-Peng Guo, Lei Chen, Li-Rong Tang, Yue Gao, Miao Qu, Lihong Wang, Chun-Hong Liu

“…Support vector machine (SVM) approaches were applied to examine the validity of the findings in distinguishing the two types of MDD. …”
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An application of Arctic puffin optimization algorithm of a production model for selling price and green level dependent demand with interval uncertainty by Hachen Ali, Md. Al-Amin Khan, Ali Akbar Shaikh, Adel Fahad Alrasheedi, Seyedali Mirjalili

“…A partial backlog of shortages with interval values is incorporated in this model. The associated optimization problem is characterized as a maximization problem, wherein the objective function exhibits values throughout an interval. …”
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Efficiency of tray dryer moisture removal: Experimental and AI studies by A. Al-Haddad, T. Kikhavani, Seyyed Hosseini

“…Among 240 experimental data points, the multilayer perceptron using radial basis functions (MLP) showed the best outcomes, obtaining a MAPE of 0.000013 % during training and 2.62 % during testing, an RMSE of 0.0134 for training and 0.479 for testing, along with R² values of 1.0 (training) and 90.7 % (testing). …”
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Conditions and sources of households' well-being in Russia: regional aspect by I. A. Bondarenko

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Development and correctness analysis of the mathematical model of transport and suspension sedimentation depending on bottom relief variation by A. I. Sukhinov, V. V. Sidoryakina

“…The model is linearized on the time grid due to the “freezing” of the bottom relief within a single step in time and the subsequent recalculation of the bottom surface function on the basis of the changed function of the suspension concentration, as well as a possible change in the velocity vector of the aquatic medium.Research Results. …”
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A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

“…This study proposes a method for generating benchmark functions tailored to single-objective continuous optimization problems with boundary constraints using predefined ELA feature vectors to guide their construction. …”
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Comparative Evaluation of Qualitative and Nutraceutical Parameters in Fresh Fruit and Processed Products of ‘Lady Cot’ and Vesuvian ‘Pellecchiella’ Apricot Cultivars by Aniello Falciano, Aurora Cirillo, Mariachiara Ramondini, Prospero Di Pierro, Claudio Di Vaio

“…These findings have significant implications for the functional food sector, as they underscore the importance of cultivar selection and processing strategies to preserve valuable bioactive compounds. …”
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Nutritional Enhancement of Crackers Through the Incorporation of By-Products from the Frozen Pumpkin Industry by Miguel A. Gallardo, M. Esther Martínez-Navarro, Irene García Panadero, José E. Pardo, Manuel Álvarez-Ortí

“…The agri-food sector faces the challenge of valorizing by-products and reducing waste. …”
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Methods for Applying Matrices when Creating Models of Group Pursuit by A. A. Dubanov

“…The listed processes were illustrated by functions in the given coordinate systems and animation. …”
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A Novel Iterative-SLM Algorithm for PAPR Reduction in 5G Mobile Fronthaul Architecture by Mohammed I. Al-Rayif, Hussein Seleem, Amr Ragheb, Saleh Alshebeili

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RISK FACTORS OF DEVELOPMENT OF PLANTATSIONNY AFFORESTATION by Elena Kolesnichenko, Ivan Torzhkov, Yana Radyukova, Svetlana Morkovina

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PSYCHOPOETICS: REFLECTING ON THE EXPERIENTIAL PERSPECTIVE OF INTERPRETING POETRY by Olga P. Vorobyova

“…Relying upon the method of introspection along with new gains in Cognitive and Multimodal Poetics, Intermediality studies and basic assumptions of the theory of emotional resonance makes it possible to correlate traditional and novel facets of poetological text analysis in a new light, while prognosticating the vectors of its further elaboration. The latter prove to fit in the global vector that characterizes the evolution of linguistic paradigms, i.e. from the emphasis upon structural and functional properties of text and its elements to focusing on dominant mental images and key concepts in their emotional and value-oriented aura, and still further to searching for sources and mechanisms of energy-driven impact pertaining to literariness and its poetic manifestations upon the reading audience. …”
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“Pasture Not Pavements”: Governmental Planning Failure and the Slow Death of Melbourne’s Green Belt by Michael Buxton, David Mercer

“…Particular reference was given to the debate on the concept of multi-functional land uses. This paper investigates the likely impacts of peri-urban development and the spatial planning framework on a range of sectors, particularly agricultural production, biodiversity, and landscapes, and highlights the failure of the spatial planning system to protect remnant peri-urban natural resources from increasing threats.…”
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Аnalysis of cointegration relationships between Аzerbaijan’s balance of payments and world oil prices by N. S. Ayyubova

“…The purpose of the study is to investigate the impact of rising oil prices on Azerbaijan’s balance of payments using a vector error correction model (VECM). In the paper, the analysis correctly applied econometric methods, the necessary statistical procedures to determine the order of integration of non-stationary time series of Azerbaijan’s current account balance and the prices of Brent crude oil and West Texas Intermediate, covering the period from 1995 to 2024, to identify and evaluation of the model parameters to check the adequacy and validity of the forecast values both in the short term and in a long term. …”
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Unraveling the complexity: Influential factors and trajectories of NGO advancement in China—A fsQCA analysis of 46 Cases by Boyan Zhao, Meiqia Yu

“…By integrating the AGIL functional analysis model, the research uncovers that no single factor—be it public expectations, digital technology, governmental support, cross-sector collaboration, key actors, or organizational culture—predominates in fostering advanced development. …”
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Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks by Pramit Pandit, Atish Sagar, Bikramjeet Ghose, Moumita Paul, Ozgur Kisi, Dinesh Kumar Vishwakarma, Lamjed Mansour, Krishna Kumar Yadav

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