Управленческий учет и проблемы классификации затрат

“…The article is devoted to topical issues of classification of costs-the cost price of production in conditions of market economy development in Russia. …”
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What disabilities make it possible to take up employment? Case studies by industry by Monika MAZUR-MITROWSKA

“…The issues of employment opportunities for people with disabilities are included in all descriptions including the information about occupations developed in the PO WER project „Developing, supplementing and updating information about occupations and its dissemination using modern communication tools – INFODORADCA +”. …”
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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

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Advances and Challenges in Deep Learning for Automated Welding Defect Detection: A Technical Survey by Abdulrahim Mohammed, Muhammad Hussain

“…This paper presents a comprehensive review of state-of-the-art Deep Learning (DL) models tailored for welding defect detection, segmentation, and classification, emphasizing technical advancements and persistent challenges. …”
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Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks by Haitao Liu, Yunfan Xu, Yuefeng Qi, Haosong Yang, Weihong Bi

“…Distributed Acoustic Sensing (DAS) systems face increasing challenges in massive data processing and real-time fault diagnosis due to the growing complexity of industrial environments and data volume. To address these issues, an end-to-end diagnostic framework is developed, integrating Mel-Frequency Cepstral Coefficients (MFCCs) for high-efficiency signal compression and Liquid Neural Networks (LNNs) for lightweight, real-time classification. …”
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Application of UAV remote sensing for vegetation identification: a review and meta-analysis by Baohua Chang, Baohua Chang, Fei Li, Fei Li, Yuncai Hu, Hang Yin, Hang Yin, Zhenhua Feng, Zhenhua Feng, Liang Zhao, Liang Zhao

“…Therefore, timely and accurate monitoring and accurate and timely vegetation classification are significant for the rational utilization of agricultural resources. …”
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Bridging Disciplinary Gaps in Studies of Human-Environment Relations: A Modelling Framework by Michael Hauhs, Baltasar Trancón y Widemann, Georg Klute

“…It can be tested on various other classification schemes in a number of disciplines. In each application, the categories of classification can be translated and then the patterns of the four logic types can be compared with the phenomenology of each case. …”
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Sb-PiPLU: A Novel Parametric Activation Function for Deep Learning by Ayan Mondal, Vimal K. Shrivastava, Ayan Chatterjee, Raghavendra Ramachandra

“…Due to its flexibility and robustness, Sb-PiPLU is particularly well-suited for complex image classification tasks.…”
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Evolution of paradigms in the study of depression: from a unitary concept to a biopsychosocial model and interdisciplinary approaches by A. N. Kornetov

“…The existing limitations in the study of depressive disorders in psychiatry and clinical psychology and the issues of interdisciplinary integration and interdisciplinary barriers are considered in detail. …”
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Identifying student help-seeking behavior patterns and help-seeking tendencies from student problem-solving and help-seeking behavior data: An educational data mining approach by Chih-Yueh Chou, Wei-Han Chen

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Experimental statistical analysis of radar signals reflected from weather hazards by E. S. Boyarenko, E. A. Bolelov, O. V. Vasiliev, S. S. Korotkov

“…The results obtained can be used to correct the classification criteria of weather hazards to subsequently increase the justification and reliability of the weather hazard classification. …”
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Conceptual principles of formation and functioning of vertically integrated structures by V.A. Topilo, V.K. Danylko

“…Despite the significant scientific contribution of the authors to the study of this topic, there is a number of unresolved issues regarding the selection of areas, forms, types of vertical integration that need further study and clarification. …”
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Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes by Stijn Horck, Sanne Steens, Jermain Kaminski

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ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence by Abdullah Al Noman, Amira Hossain, Anamul Sakib, Jesika Debnath, Hasib Fardin, Abdullah Al Sakib, Rezaul Haque, Md. Redwan Ahmed, Ahmed Wasif Reza, M. Ali Akber Dewan

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Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data by Subhajit Chatterjee, Yung-Cheol Byun

“…The paramount task of ensuring the effective monitoring and fault classification of WTs is indispensable for the stability of wind farm systems. …”
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Classification de l’intensité des apprentissages interprofessionnels en contexte de stages cliniques : une proposition basée sur les fondements théoriques en formation interprofess... by Amélie Richard, Kadija Perreault, Isabelle Savard, Anne-Marie Pinard, Emmanuelle Careau

“…But : Le présent article propose donc une classification originale de l’intensité des apprentissages en contexte de stages interprofessionnels se basant sur les fondements théoriques de la FIP et sur les données issues d’une recension narrative à ce sujet. …”
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SEMANTICS AND MEANING OF TERMS WITH THE COMPONENT ’RED’ by Velislava Stoykova

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Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset by Muskan Naresh Jain, Salah Mohammed Awad Al-Heejawi, Jamil R. Azzi, Saeed Amal

“…Kidney cancer has become a major global health issue over time, showing how early detection can play a very important role in mediating the disease. …”
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Embedded feature fusion for multi-label criteria selection via local search strategy and particle swarm optimization by Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv

“…Abstract Multi-label classification is a significant challenge in machine learning, especially as the dimensionality of the problem increases. …”
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Düzce University by Nur UYLAŞ SATI

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