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Relevant bibliographies by topics / Sub-category classification

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Academic literature on the topic 'Sub-category classification'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Sub-category classification"

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Shi, Li Jun, Xian Cheng Mao, and Zheng Lin Peng. "Method for Classification of Remote Sensing Images Based on Multiple Classifiers Combination." Applied Mechanics and Materials 263-266 (December 2012): 2561–65. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2561.

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This paper presents a new method for classification of remote sensing image based on multiple classifiers combination. In this method, three supervised classifications such as Mahalanobis Distance, Maximum Likelihood and SVM are selected to sever as the sub-classifications. The simple vote classification, maximum probability category method and fuzzy integral method are combined together according to certain rules. And adopted color infrared aerial images of Huairen country as the experimental object. The results show that the overall classification accuracy was improved by 12% and Kappa coeff

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Wang, Chunhui, Jiajia Song, and Mingrui Yin. "Composition Analysis and Identification Scheme of Ancient Glass Products Based on K-Means Algorithm." Highlights in Science, Engineering and Technology 42 (April 7, 2023): 38–45. http://dx.doi.org/10.54097/hset.v42i.7058.

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Chinese ancient glass mainly includes high potassium glass and lead barium glass. In the process of weathering, its chemical composition is easy to change, affecting the judgment of its category. The data of this study are based on the chemical composition ratio of classified glass relics obtained by preprocessing. Firstly, a random forest model is constructed based on the Gini coefficient to obtain the contribution of lead oxide to the classification. The decision tree in the random forest is extracted, and the optimal classification rule is obtained by using the majority voting mechanism : w

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Ferreira, Sergio Costa, Diego Nunes Navarro, Marlon Lemos de Araújo, Ester da Silva Caldas, Diogo Matheus Barros da Silva, and Antonio Coppi Navarro. "Comparison of pre-competitive anxiety between futsal players of sub-16 and sub-19 category." Research, Society and Development 10, no. 7 (2021): e5510716189. http://dx.doi.org/10.33448/rsd-v10i7.16189.

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The aim of the study was to compare the values of anxiety in futsal players from different age categories. Materials and methods. The sample consisted of 18 male futsal players which 9 of them are from the under-16 category (mean=16 years) and 9 from the under-19 category (mean=18.22 ±0.22 years). The Competitive State Anxiety Inventory-2 (CSAI-2) questionnaire was used, which was applied 30 minutes before the games. Results and Discussion. In individual values, in the sub-16 category, 100% of the players expressed Self-confidence higher than the values of Cognitive Anxiety and Somatic Anxiety

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Konishi, Akiko, Naoko Fujii, Tomomi Nakama, et al. "Scoring System for Sub classification of Category 3 Calcifications in Soft Copy Diagnostics." Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening) 33, no. 1 (2024): 69–74. http://dx.doi.org/10.3804/jjabcs.33.69.

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Mandeep, Kaur* Dr. Raman Chadha Er. Pravneet Kaur. "MULTI-FACTOR REVIEW CLASSIFICATION ALGORITHM FOR PRODUCT PROFILE BUILDING USING PROBABILISTIC CLASSIFICATION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 8 (2016): 600–606. https://doi.org/10.5281/zenodo.60104.

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The online shopping portals have been grown their popularity over the recent years and have gained the multi-billion dollar business by selling the variety of the goods from their portals. The online shopping portals post the major problem to customers in the case of the pre-purchase verification of the goods, which is the major reason behind the problem arising with the higher number of after sales product returns. The touch and feel of the product during purchasing gives the customers metal satisfaction as they completely investigate the product condition before paying the amount for purchas

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Jain, Sheenam, and Vijay Kumar. "Garment Categorization Using Data Mining Techniques." Symmetry 12, no. 6 (2020): 984. http://dx.doi.org/10.3390/sym12060984.

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The apparel industry houses a huge amount and variety of data. At every step of the supply chain, data is collected and stored by each supply chain actor. This data, when used intelligently, can help with solving a good deal of problems for the industry. In this regard, this article is devoted to the application of data mining on the industry’s product data, i.e., data related to a garment, such as fabric, trim, print, shape, and form. The purpose of this article is to use data mining and symmetry-based learning techniques on product data to create a classification model that consists of two s

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AbdelMassih, Antoine, Acsah George, Dima Mohammad, Fazeela Ansari, and Soumya Prachith. "The nomenclature of duct-dependent lesions, broadening the categories for a better clinical practice." Pediatric Sciences Journal 5, no. 2 (2024): 34–36. https://doi.org/10.51559/pedscij.v5i2.93.

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Ductus arteriosus-dependent lesion includes two well-established categories, the right sided obstructive lesions such as pulmonary atresia (duct-dependent pulmonary circulation) and the left sided obstructive (duct-dependent systemic circulation) lesions ranging from hypoplastic left heart syndrome to severe preductal coarctation. Dextro-transposition of the great arteries (D-TGA) lies in a gray area, as it is considered by some old classifications as a duct-dependent pulmonary circulation lesion and by others as a new category of duct-dependent mixing lesion. We suggest adding a new functiona

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Andre, Terence S., Steven M. Belz, Faith A. McCrearys, and H. Rex Hartson. "Testing a Framework for Reliable Classification of Usability Problems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 37 (2000): 573–76. http://dx.doi.org/10.1177/154193120004403707.

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The User Action Framework (UAF) is a knowledge base of usability issues and concepts structured to provide a framework and method for classifying usability problems identified during usability evaluation. The UAF is essentially a hierarchical structure of usability attributes that users traverse as a decision structure, selecting the most appropriate classification category and sub-category at each level of the hierarchy. The cumulative set of category choices along the classification path is taken as a sequence of usability attributes that determines a complete classification description of t

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Xu, Jiacan, Donglin Li, Peng Zhou, Chunsheng Li, Zinan Wang, and Shenghao Tong. "A multi-band centroid contrastive reconstruction fusion network for motor imagery electroencephalogram signal decoding." Mathematical Biosciences and Engineering 20, no. 12 (2023): 20624–47. http://dx.doi.org/10.3934/mbe.2023912.

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<abstract> <p>Motor imagery (MI) brain-computer interface (BCI) assist users in establishing direct communication between their brain and external devices by decoding the movement intention of human electroencephalogram (EEG) signals. However, cerebral cortical potentials are highly rhythmic and sub-band features, different experimental situations and subjects have different categories of semantic information in specific sample target spaces. Feature fusion can lead to more discriminative features, but simple fusion of features from different embedding spaces leading to the model g

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Saandeep, Sreerambatla. "Streamlining Multilingual Service Desk Operations: A Machine Learning Approach to Classification and Time Prediction." European Journal of Advances in Engineering and Technology 7, no. 11 (2020): 48–54. https://doi.org/10.5281/zenodo.12755821.

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This study addresses the complex challenge of managing multilin- gual service desk (SD) tickets, which span across 35 categories and 150 sub-categories. To streamline this process, we developed two sophisticated classification models. The first model automatically predicts the primary category of a ticket based on its summary and description, leveraging advanced natural language processing (NLP) techniques. The second model refines this by predicting the sub- category within the identified primary category. In addition, we im- plemented a robust regression model to accurately estimate the time

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Books on the topic "Sub-category classification"

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Classification standard, engineering and land survey, sub-group land survey: Scientific and professional category. Classification, Human Resources, Information Systems and Pay Division, Personnel Policy Branch, 1987.

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Mattissen, Johanna. Sub-Types of Polysynthesis. Edited by Michael Fortescue, Marianne Mithun, and Nicholas Evans. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199683208.013.5.

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The structural heterogeneity of polysynthetic languages is captured by a sublassification of allegedly polysynthetic languages according to their word-formational type (number of roots allowed in a verb form), namely, compositional, transitional, or affixal, and their internal organization (template vs. scope or both). Further parameters show correlations to these independent ones: the number of participants encoded on a verb, the imaginable evolutionary path via which the structure has come about, namely layering (“onion type”), internal expansion (“sandwich type”) or coalescence (“burdock ty

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Book chapters on the topic "Sub-category classification"

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Jiang, Xianjin, Xin Lin, Yi Ji, Jianyu Yang, and Chunping Liu. "Fine-Grained Visual Classification Based on Image Foreground and Sub-category Similarity." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7305-2_13.

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Manivannan, Siyamalan, Caroline Cobb, Stephen Burgess, and Emanuele Trucco. "Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46723-8_36.

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Déchaine, Rose-Marie. "Partitioning the nominal domain." In Gender and Noun Classification. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198828105.003.0002.

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Class qua gender is a mechanism for introducing a partition, i.e. noun classes, into the nominal domain. Treating class/gender as a partition function—a function that exhaustively and non-intersectively assigns all members of a set to a subset—provides insight into the range of variation attested in natural languages relative to the realization of class/gender. This set-theoretic analysis is embedded in a model of interface syntax that allows a given feature’s modus and locus of association to vary. Specifically, the locus of association of class/gender varies such that it can associate with a

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Lennard, John, and Mary Luckhurst. "What is genre?" In The Drama Handbook. Oxford University PressOxford, 2002. http://dx.doi.org/10.1093/oso/9780198700708.003.0006.

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Abstract In one way that makes it easy to use: ‘What genres do you like?’ ‘I like comedies and thrillers.’ ‘And what genres does she like?’ ‘Oh, she prefers novels.’ The meaning seems clear, but ‘novel’ is not the same kind of category as ‘comedy’ or ‘thriller’, and the confusion is plain if you compare artistic genre with scientific genus. In the Linnaean classification of living things ‘genus’ occupies a specific place in a descending order-kingdom (animals), sub-kingdom (metazoa), phylum (chordates), sub-phylum (vertebrates), class (mammals), order (primates), sub-order (anthropoids), famil

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Devlieger, Patrick J. "At the interstices of classification: Notes on the category of disability in sub-Saharan Africa." In Disability as a Fluid State. Emerald Group Publishing Limited, 2010. http://dx.doi.org/10.1108/s1479-3547(2010)0000005006.

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Oreschko Bernd, Schultz Michael, Elflein Jenny, and Fricke Hartmut. "Significant Turnaround Process Variations due to Airport Characteristics." In Air Transport and Operations. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-559-4-263.

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One contributor for excessive flight delays is insufficient ground operation performance with excessive process durations. Further productivity is measured not only by the airline but also by the airport operator and the ground handling companies. Collaborating in the A-CDM with other partners, the aim is to understand process characteristics and to predict process duration for the exact Gate Occupancy Time needed for operational capacity planning. Within this paper focus is set on process variations within specific sub processes for different airports, depending on their network function. An

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Podolianchuk, Olena. "ACCOUNTING AND TAXATION OF THE ACTIVITY RESULTS OF ENTERPRISES." In Theoretical and practical aspects of the development of modern scientific research. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-195-4-8.

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The financial condition of an entity depends on many factors, the most important of which is financial independence, which is the guarantor of a positive financial result, ie profit. The object of research is the system of accounting and taxation of performance. The subject of the research is theoretical-methodical and scientific-practical principles of accounting and taxation of financial results of enterprises by its types. Theoretical and methodical bases of scientific research became general scientific and special methods: abstract-logical (for theoretical generalizations of research resul

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Podolianchuk, Olena. "ACCOUNTING FOR COST MANAGEMENT OF AGRICULTURAL ENTERPRISES." In Theoretical and practical aspects of science development. Publishing House “Baltija Publishing”, 2023. http://dx.doi.org/10.30525/978-9934-26-355-2-6.

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The everyday activities of business entities are associated with incurring various types of expenses. The final result of the activity depends on the amount of expenses. Therefore, every enterprise strives to minimize them, which can be achieved thanks to their effective management. The purpose of the scientific research is to substantiate the content of the category "costs" and to reveal the practice of their accounting in order to make proposals for improving the accounting support for their management by agricultural enterprises. The object of the study is the accounting system of activity

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Conference papers on the topic "Sub-category classification"

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Xu, Jiazhi, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, and Bo Liu. "Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/208.

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Multi-Label Image Classification (MLIC) appro-aches usually exploit label correlations to achieve good performance. However, emphasizing correlation like co-occurrence may overlook discriminative features and lead to model overfitting. In this study, we propose a generic framework named Parallel Self-Distillation (PSD) for boosting MLIC models. PSD decomposes the original MLIC task into several simpler MLIC sub-tasks via two elaborated complementary task decomposition strategies named Co-occurrence Graph Partition (CGP) and Dis-occurrence Graph Partition (DGP). Then, the MLIC models of fewer c

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Gill, Amaninder Singh, Ankit Agarwal, Vijayanth Tummala, Seung-Jin Lee, and Laine Mears. "Comparison of Explainable AI for Image Classification to Human Perception: A Case Study of Threaded Fasteners." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-146133.

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Abstract Machine vision in quality control and sorting applications enhance organizational efficiency. Machine vision systems are coupled with a pre-trained Convolutional Neural Network (CNN) to enhance the capability of the system for classification and identification tasks. The overarching research goal of this study is a) to understand how a CNN decides on classifying threaded fasteners, and b) how well does the CNN’s decision making compare with that of a human. In order to answer the first research question, an image-based fastener identification model augmented with a pre-trained CNN was

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