Determination of the Bentonite Content in Molding Sands Using AI-Enhanced Electrical Impedance Spectroscopy by Xiaohu Ma, Alice Fischerauer, Sebastian Haacke, Gerhard Fischerauer

“…These features, combined with water content and density, were used to train regression models based on fully connected neural networks to estimate the bentonite content in the mixtures. …”
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Motor Bearing Failure Identification Using Multiple Long Short-Term Memory Training Strategies by Youcef ATMANI, Ammar Mesloub, Said Rechak

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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

“…To this end, a novel adversarial deep Takagi–Sugeno–Kang (TSK) fuzzy classifier (AD-TSK), which is characterized by its novel stacked structure and inverse-free fast training, is proposed in this paper. After taking the TSK fuzzy classifier as the subclassifier in each layer of AD-TSK, proactive adversarial example learning is designed based on the adversarial attacks on both the features and labels of the inputs for each subclassifier to generate the adversarial TSK fuzzy classifier (ATSK) with increased robustness to noise. …”
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Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders. by Hiroki Tanaka, Hideki Negoro, Hidemi Iwasaka, Satoshi Nakamura

“…Computer-based social skills training is useful for people who experience social difficulties. …”
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PECULARITIES OF THE PROFESSIONAL DIALOGUE MEDIATED BY MODERN MEANS OF TELECOMMUNICATION IN THE PROCESS OF TRAINING FUTURE SPECIALISTS IN ECONOMICS by Tetiana V. Kramarenko

“…The article considers and analyzes the features of professional dialogue mediated by means of information and communication technologies in the training of future economic specialists, the main aspects of the use of mediated dialogue in foreign language teaching. …”
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Self-Training Can Reduce Detection False Alarm Rate of High-Resolution Imaging Sonar by Jingqi Han, Yue Fan, Zheng He, Zhenhang You, Peng Zhang, Zhengliang Hu

“…Self-training automatically generates proxy classification tasks based on the sonar image target detection dataset, and pre-trains the deep learning detector through these proxy classification tasks to enhance its learning effectiveness of target and background features. …”
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Development of Robot Feature for Stunting Analysis Using Long-Short Term Memory (LSTM) Algorithm by Muhammad Rahadian Abdurrahman, Halim Al Aziz, Farras Adhani Zayn, Muhammad Agus Purnomo, Heru Agus Santoso

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Analysis and prediction of the stability of train control systems to ultra-wideband electromagnetic pulses of intentional action by D. V. Komnatnyy

“…It is shown that modern complex systems of control and safety of train traffic are vulnerable to electromagnetic impulses of intentional action. …”
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Broadening the lens: A review of multi-object tracking task and its use in cognitive training by Pech Marion, Adolphe Maxime, Oudeyer Pierre-Yves, Sauzéon Hélène

“…This narrative review underscores MOT-based training's potential but calls for more rigorous evaluation of transfer effects and real-world applicability.…”
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Natural Training in Control of Formal Education: A Critical Analysis ofthe Book " Zaynab Letters" by seyyed hosyn hoseyni

“…The difference between formal education and education training, based on the human and divine nature of the individual mechanisms, has always been one of the most important issues in the field of philosophy of education and has been considered the analysis of educational characteristics education.The main objective of this paper is to analyze the book "Zaynab Letters" through which the dimensions of these differences are explored; a general conceptual framework regarding prominent challenges in the formal education system and conceptual hurdles posed by the events in this book are discussed. .The paper aims to find out what  the principles and characteristics of children's innate language are. …”
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Formation of ethnocultural competence of future managers of socio-cultural activities: main areas of student training by Diana V. Vereialova

“…The development of the content of activities for the formation of students' ethnocultural competence is based on scientific and methodological research in the field of technology for training future leaders of amateur choreographic groups for stage interpretation of folk dance, technology for the formation and development of students' ethnic self-awareness, linguacultural and ethnopsychological features of the Chuvash mentality, technology for introducing students to folk art culture. …”
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Managerial focus of a regional vocational education and training system on the needs of socio-economic development by S. Yu. Alasheev, T. G. Kuteinitsyna, N. Yu. Postalyuk, V. A. Prudnikova

“…The research methodology is based on the following principles and approaches: system- and activity-based analysis of social objects, comparative analysis and modelling of social systems. …”
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Methodological aspects of training future technology teachers for project activities in the field of design and decorative arts by Кudria Oksana, Nahorna Nataliia

“…The development of the methodology for the organization of project activities of future technology teachers in the field of design and decorative and applied arts is based on a clear understanding of the features of the educational components of this direction, the possibilities of adapting the educational process to practical tasks. …”
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On the subject of an ATC simulator exercise in the training of air traffic controllers at Civil Aviation Educational Institutions by R. A. Subbotin

“…The essential features of the exercise were considered: objective, task, aeronautical background, coherence with the training process, type, as well as properties: difficulty and complexity of the exercise. …”
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A Joint Metro Train Demand Model Accounting for Disaggregate Consideration Probability and Aggregate Footfall by Ganesh Ambi Ramakrishnan, Payel Roy, Harshit Kumar Varshney, Karthik K. Srinivasan

“…Furthermore, factors influencing consideration probability (walkability, train service quality, and first–last–mile connectivity) vary across segments (based on vehicle unavailability, exclusive vehicle availability, and limited vehicle availability). …”
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A Scale-Aware and Discriminative Feature Learning Network for Fine-Grained Rigid Object Recognition by Yangte Gao, Chenwei Deng, Liang Chen, Zicong Zhu

“…DFE extracts discriminative features along the channel and spatial dimensions of the feature map based on feature deep mining and wide-ranging. …”
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On the issue of choosing vertical and horizontal connections in a bogie for freight cars of high-speed trains by G. I. Gadzhimetov, G. I. Petrov, Yu. A. Panin, I. E. Il’in

“…To assess the safety during certification, it is required to develop a standard that would take into account the design features of car bogies, designed for increased speed.…”
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Fractal Theory and Its Financial Applications for Improving the Quality of Professional Training at The Higher School of Economics by D. A. Vlasov, P. A. Karasev, A. V. Sinchukov

“…The purpose of the study is to identify the main content and methodological features of the disclosure of fractal theory and its financial applications in the practice of professional training of students of economic universities. …”
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The Possibility of Including “Inverted” Educational Resources in the Professional Training of Future Teachers of Mathematics and Computer Science by P. S. Lomasko, A. L. Simonova, A. M. Lisman

“…On the other hand, the problematic issues included in the resources should reflect specific subject educational results in accordance with a given taxonomic model in the curriculum.Materials and methods. Based on the analysis of theoretical and methodological sources, the article substantiates the relevance of the problem of finding new ways and means of implementing additional subject training in mathematics and computer science for both schoolchildren and future teachers in the context of digitalization of education. …”
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Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P Sanders

“…Our approach employs a multi-stage feature selection method that identifies physico-chemical features based on their direct causal-effect over specific downstream properties. …”
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