Classification of State Regulation Principles in the Field of Air Transport by O. V. Brusakova

“…It has been offered to classify these principles according to the following criteria: 1) direction of state regulation (in the field of air transport, in the field of airports and civil airfields activities, in the field of using aircraft, in the sphere of organization of air traffic and airspace, in the field of ensuring public order and safety in air transport, in the field of training aviation personnel); 2) scope of activity (general and special). …”
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A Classification of Fourth-Order Dissipative Differential Operators by Tao Wang, Ji-jun Ao, Mei-chun Yang

“…This paper is devoted to the classification of the fourth-order dissipative differential operators by the boundary conditions. …”
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Gearbox Fault Identification and Classification with Convolutional Neural Networks by ZhiQiang Chen, Chuan Li, René-Vinicio Sanchez

“…Based on vibration signals, this paper presents an implementation of deep learning algorithm convolutional neural network (CNN) used for fault identification and classification in gearboxes. Different combinations of condition patterns based on some basic fault conditions are considered. 20 test cases with different combinations of condition patterns are used, where each test case includes 12 combinations of different basic condition patterns. …”
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Flight Delay Classification Prediction Based on Stacking Algorithm by Jia Yi, Honghai Zhang, Hao Liu, Gang Zhong, Guiyi Li

“…In this research, the principle of the Stacking classification algorithm is introduced, the SMOTE algorithm is selected to process imbalanced datasets, and the Boruta algorithm is utilized for feature selection. …”
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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING by Vladimir Milićević, Igor Franc, Maja Lutovac Banduka, Nemanja Zdravković, Nikola Dimitrijević

“…Although it was developed for a classical neural network, the same methodology can be used for any type of neural network.…”
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The Story of Writing: From Classical Rhetoric to Rhetoric and Composition by I. B. Korotkina

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An overview of breast cancer: Classification and related signaling pathways by Pit Foong Chan, Roslida Abd Hamid

“…However, the histological classification system has some limitations, thus molecular subtype classification has been studied extensively to improve the classification system for breast cancer. …”
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Semantic Tokenization-Based Mamba for Hyperspectral Image Classification by Ri Ming, Na Chen, Jiangtao Peng, Weiwei Sun, Zhijing Ye

Subjects: “…hyperspectral image classification…”
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Criminalistics classification of criminal offences in the field of economic activity by V. O. Usatii

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Prospects for mineral biofortification of wheat: classical breeding and agronomy by I. N. Leonova, E. V. Ageeva, V. K. Shumny

“…Using the classical breeding methods, biofortified varieties have been bred as a part of various international programs funded by HarvestPlus, CIMMYT, ICARDA. …”
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An Improved Feature Selection Based on Effective Range for Classification by Jianzhong Wang, Shuang Zhou, Yugen Yi, Jun Kong

“…The results of feature selection can directly affect the classifier’s classification accuracy and generalization performance. …”
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Optimized sequential model for superior classification of plant disease by Yogesh Chimate, Sangram Patil, K. Prathapan, Jaydeep Patil, Jayendra Khot

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The Classification of Patients with Chronic Pain: Age and Sex Differences by Andrew J Cook, Dania C Chastain

“…OBJECTIVE: To further develop an empirically based classification system for chronic pain patients through the examination of age and sex differences, and incorporation of pain duration in the grouping algorithm.…”
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Evolution of Political Risk Concept: Classical and Contemporary Interpretations by D. A. Nechkin

“…This paper examines both classical approaches to defining political risk, which were elaborated by the leading experts in this field in the 1970–1980s, and its contemporary interpretations proposed in academic literature, and reports of think tanks and consultancies over the last decade. …”
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ON NEW MATHEMATICAL METHODS OF CLASSIFICATIONS OF STEEL MOCROSTRUCTURES PICTURES by A. N. Chichko, O. A. Sachek, S. G. Lihouzov

“…Algorithms for classification of the steels microstructures allowing to carry out computer processing of pictures with the purpose of quantitative assessment of the structure characteristics, are offered. …”
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Could the classical relativistic electron be a strange attractor? by L. P. Horwitz, N. Katz, O. Oron

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An improved lightweight ConvNeXt for rice classification by Pengtao Lv, Heliang Xu, Qinghui Zhang, Lei Shi, Heng Li, Youyang Chen, Yana Zhang, Dengke Cao, Zhongyang Liu, Yixin Liu, Jingwen Han, Zhan Zhang, Yiran Qi

Subjects: “…Rice classification…”
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Dual Model for International Roughness Index Classification and Prediction by Noelia Molinero-Pérez, Laura Montalbán-Domingo, Amalia Sanz-Benlloch, Tatiana García-Segura

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An overview of skin cancer classification based on deep learning by Toqa A. Sadoon

“…Nevertheless, reviews containing the aforementioned borderline difficulties in skin melanoma classification are still rare. Thus, this paper presents a summary of the newest deep learning procedures for classifying skin cancer. …”
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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…The purpose of conducting the research is to create the first-ever Dzongkha handwritten digit dataset and develop a model to classify the digit. In the study, the 3 layer set of CONV → ReLU → POOL, followed by a fully connected layer, dropout layer, and softmax function were used to train the digit. …”
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