Re-Calibrating Network by Refining Initial Features Through Generative Gradient Regularization by Naim Reza, Ho Yub Jung

“…We propose a training methodology that emphasizes on refining the features extracted from the initial layer of a DNN by regularizing the network with the help of a reference gradient. …”
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Prioritization of Preventive Measures: A Multi-Criteria Approach to Risk Mitigation in Road Infrastructure Projects by Aleksandar Senić, Marija Ivanović, Momčilo Dobrodolac, Zoran Stojadinović

“…By integrating expert judgment, systematic evaluation, and advanced analytical methods, this study delivers actionable insights and establishes a reliable methodology for enhancing the effectiveness of risk mitigation in road infrastructure projects.…”
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Global initiatives in physical education and sport development by Oleksandra Tsybanyuk, Serhii Dariichuk, Tetiana Pobocha, Yurii Moseichuk

“… This study aimed to analyse the impact of international projects in the field of physical culture and sports on the development of this industry at the global and national levels. The research methodology included a comparative analysis of the effectiveness of implemented projects, empirical research of results, and statistical methods to assess their impact on socio-economic indicators. …”
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Versatile Click Chemistry-based Approaches to Illuminate DNA and RNA G-Quadruplexes in Human Cells by Angélique Pipier, David Monchaud

“…We thus show why and how to illuminate G4s with TASQs and provide a detailed, step-by-step methodology (including the preparation of the materials, the methodology per se, and a series of notes to address any possible pitfalls that may arise during the experiments) to make G4 imaging ever easier to operate.…”
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Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement by Dácil Díaz-Bello, Carlos Vargas-Salgado, Manuel Alcazar-Ortega, David Alfonso-Solar

“…This study presents a novel approach that combines genetic algorithms and dynamic neural network structure refinement to optimize photovoltaic prediction. This methodology dynamically adjusts the neural network parameters during training, including the number of neurons, transfer functions, weights, and biases, to minimize the root mean square error. …”
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Examining the Carbon Footprint of Conferences with an Emphasis on Energy Consumption and Catering by Viktoria Mannheim, Judit Lovasné Avató

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Exploring the Integration of Blockchain and Distributed DevOps for Secure, Transparent, and Traceable Software Development by Junaid Nasir Qureshi, Muhammad Shoaib Farooq, Usman Ali, Adel Khelifi, Zabihullah Atal

“…This methodology excels in enhancing collaboration and speeding software development. …”
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Use-Case-Dependent Modeling Approach for Analysis of Distributed DC Grids by Melanie Lavery, Raffael Schwanninger, Martin Marz

“…The research presented in this work addresses this gap by detailing and applying the methodology and comparing simulation results with measurements from a DC system. …”
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Robust fault detection and classification in power transmission lines via ensemble machine learning models by Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev

“…Leveraging a comprehensive dataset of diverse fault scenarios, various machine learning algorithms—including Random Forest (RF), K-Nearest Neighbors (KNN), and Long Short-Term Memory (LSTM) networks—are evaluated. An ensemble methodology, RF-LSTM Tuned KNN, is proposed to enhance detection accuracy and robustness. …”
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Becoming Charles Darwin: Travel Experiences, Personal Writings, and the Genesis of a Method by Shadia Uteem

“…Then the concern will shift to the interplay between his experience of freedom and the growth of an intimate methodology. The wild patterns, captivating scenes, and the ever-changing world awakened in him the audacity and legitimacy to envision a new science. …”
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Variables Selection from the Patterns of the Features Applied to Spectroscopic Data—An Application Case by José L. Romero-Béjar, Francisco Javier Esquivel, José Antonio Esquivel

“…This work is focused on reducing the dimensionality of the data by selecting a small subset of variables to characterize the samples and presents a mathematical methodology for the selection of the most efficient variables. …”
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ACCELERATING THE FORMATION OF CHILDREN’S VALUES IN A LEARNING ENVIRONMENT by A. I. Mantarova, I. A. Angelova

“…The present publication presents the results of an experiment conducted on the territory of Bulgaria with children aged 4.5 to 6 years.The aim of the research is to work out a model of interaction based on the contemporary knowledge of preschool children’ development and cognitive process peculiarities of children aged 4.5 to 6.Methodology and research methods. The methodology of the research is based on theories and classifications of values by Rokeach, Graves, Inglehart (values of survival and self-expression) and Hofstede (desired and desirable values). …”
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Teacher knowledge: insights for continuing education in Southern Brazil by Fabiana Diniz Kurtz, Denilson Rodrigues da Silva, Maria Cristina Pansera de Araújo

“…Means, through the proposed teaching methodology, integrated with technology with a view to changes and innovation in the work processes of basic education teachers when implemented. …”
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Cognitive Load in eCommerce Applications—Measurement and Effects on User Satisfaction by Peter Schmutz, Silvia Heinz, Yolanda Métrailler, Klaus Opwis

“…NASA-TLX and dual-task methodology were used to measure subjective and objective mental workload. …”
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Course “History & Philosophy of Science” for Doctoral Programs in Education and Pedagogical Sciences by Albina R. Sadyikova, Eleonora K. Nikitina, Andrey V. Korzhuev, Yuliya B. Ikrennikova

“…We examine the impact of philosophy of science on methodology of pedagogical education in the context of the history of pedagogical thought. …”
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Enhanced framework for ensemble effort estimation by using recursive‐based classification by Azath Hussain, Maheswari Raja, Pandimurugan Vellaisamy, Sangeetha Krishnan, Lakshminarayanan Rajendran

“…Abstract Service‐oriented software engineering is a software engineering methodology focussed on the development of software systems. …”
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COGENERATION OPPORTUNITIES TO IMPROVE THE EFFICIENCY OF MICRO HEAT POWER PLANTS BASED ON AIR COOLED INTERNAL COMBUSTION ENGINES by P. A. Shchinnikov, D. S. Sinelnikov

“…The basis of the facility is the gasoline generator Hitachi-2400 with an air-cooled power of 2.4 kW. The basic methodology for the study of microthermal power plants based on an air-cooled internal combustion engine which is based on balance equations is presented. …”
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Suitability of referenced models for designing balanced scorecards in Healthcare Organizations by Toni Roselló Calzada, Imma Ribas Vila, Conxi Caro Benito

“…Design/methodology/approach: The study was conducted through a comprehensive literature review of the literature from 2013 to 2022 related to the design of BSC in healthcare organizations. …”
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Discipline as a key factor in the formation of legal awareness and legality among Ukrainian citizens by Dziubak S.

“…The purpose of the work is to analyze the phenomenon of discipline as a factor influencing the formation of legal awareness and legality among citizens of Ukraine, to reveal their interrelationship and interdependence. Methodology. The methodology involves a complex analysis and generalization of the available scientific and theoretical data, as well as the formulation of relevant conclusions and recommendations. …”
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Outcomes of minimal access retroperitoneal para-aortic lymphadenectomy in patients with locally advanced cervical cancer by Claire Newton, Radha Graham, Viola Liberale, Matthew Burnell, Usha Menon, Tim Mould, Adeola Olaitan, Nicola Macdonald, Martin Widschwendter, Kostas Doufekas, Mary McCormack, Anita Mitra, Rupali Arora, Ranjit Manchanda

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