Performance of classification criteria for Behcet's disease in an Egyptian cohort by Mohamed Ahmed Hussein, Mona I Ellawindi, Gaafar Ragab

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Few-Shot Classification Study for Prototype Fusion and Completion by Yuheng Wang, Yanguo Sun, Zhenping Lan, Nan Wang, Jiansong Li, Xincheng Yang

“…When applied to classification tasks, it is referred to as few-shot classification. …”
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Classification-Based Parameter Optimization Approach of the Turning Process by Lei Yang, Yibo Jiang, Yawei Yang, Guowen Zeng, Zongzhi Zhu, Jiaxi Chen

“…Currently, it is difficult to effectively determine the optimum process parameters under complex conditions. To address this issue, a classification-based parameter optimization approach of the turning process is proposed in this paper, which aims to provide feasible optimization suggestions of process parameters and consists of a classification model and several optimization strategies. …”
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Deep learning based agricultural pest monitoring and classification by Stella Mary Venkateswara, Jayashree Padmanabhan

“…Abstract Precise pest classification plays an essential role in smart agriculture. …”
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Fusion Classification Method Based on Audiovisual Information Processing by Peiju Chen, Xuan Zhang, Huijun Zhao, Huiliang Cao, Xuemei Chen, Xiaochen Liu

“…In the presence of external interference, multimodal target classification plays a crucial role. Traditional single-modal classification systems are limited by the singularity of data representation and their sensitivity to environmental conditions, making it challenging to meet the robustness requirements for target classification under external disturbances. …”
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Classification of skin diseases with deep learning based approaches by Merve Okumuş Sarı, Kübra Keser

“…In the study, which focused on the classification of 3 different skin diseases, the Relief algorithm was used to increase the classification success and to ensure the selection of more meaningful qualities. …”
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Improving Automatic Migraine Classification Performance with Naive Bayes by Arzum Karataş

“…Given that over 20% of Turkey's population suffers from migraines, our study concentrated on the same issue to enhance classification performance in terms of accuracy and training time. …”
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Acquiring complex concepts through classification versus observation by Daniel Corral, Shana K. Carpenter

“…However, although subjects showed clear evidence of learning and transfer, posttest performance did not differ between classification and observation training. Critically, various learning theories and principles (e.g., retrieval practice, generation, active learning) predict a classification advantage. …”
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CLASSIFICATION OF NON-CORONARY HEART DISEASES. POINT OF VIEW by O. V. Blagova, A. V. Nedostup

“…Until recently, there is no unified official classification in Russia, and there are various in use for practical and scientific purposes: American (2006), European (2008) and the latest issue by Paleev N.R. and Paleev F.N. (2008). …”
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A Soft Computing View for the Scientific Categorization of Vegetable Supply Chain Issues by Rizwan Abbas, Gehad Abdullah Amran, Irshad Hussain, Shengjun Ma

“…<i>Methods</i>: This paper presents a new and diverse scientific classification of VSC issues from the SC methodology. …”
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Socio-natural Disasters and Poverty: An Analysis from Emergency Decrees Issued in Chile by Elia Sepúlveda, Roxana Contreras, Alejandra Mora Castillo

“…A documentary research was done from the classification and analysis of the decrees of emergency issued in Chile during that period. …”
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IPv6 Security Issues: A Systematic Review Following PRISMA Guidelines by Shubair A. Abdullah, Ahmed A. Al Ashoor

“…The number of citations is another key finding that reflects the great global interest in research devoted to IPv6 security issues, as it was 409 citations in the decade from 2000-2010, then increased to 1643 citations during the decade from 2011 to 2020, that is, the percentage increase was 302%. …”
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AI Applications for Power Quality Issues in Distribution Systems: A Systematic Review by Mitra Nabian Dehaghani, Tarmo Korotko, Argo Rosin

“…This review, however, offers a comprehensive synthesis of AI-based approaches across a wide range of PQ applications, encompassing detection, classification, and improvement, while also considering the specific PQ issues addressed in each case. …”
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Conceptual Issues of Managing Non-Tax Revenues of the Budgets of Public Legal Entities by N. D. Magnitskiy, Yu. G. Tyurina

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Issues of legal qualification of the radio broadcasting organization program as an object of related rights by Denys Kozlitin

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Context-Defined Model of Open Systems Interaction for IoT Cybersecurity Issues Study by Victor Tikhonov, Eduard Siemens, Yevhen Vasiliu, Valery Sitnikov, Abdullah Taher, Olena Tykhonova, Kateryna Shulakova, Serhii Tikhonov

“…An original context-defined model of open systems interaction S-CDM has been constructed for cybersecurity issues study with the use of J. Neumann classification and A. …”
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Self-education and information technologies – changeability of forms and difficulty of classification by Sergo KURULISZWILI

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Medical short text classification via Soft Prompt-tuning by Xiao Xiao, Han Wang, Feng Jiang, Tingyue Qi, Wei Wang

“…The experimental results demonstrate the effectiveness of our method and its potential as a significant advancement in medical short text classification. By addressing issues related to short text length, feature sparsity, and specialized medical terminology, it offers a promising advancement toward more accurate and interpretable medical text classification.…”
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The classification of the legal customs of the Ukrainian people: Historical-legal aspect by Marian Bedrii, Mariana Syrko

“…The article is devoted to the issues of analysing the legal significance of Ukrainian customs through the prism of various criteria which are not exhaustive but contributed to the systematization of knowledge about the Ukrainian customary law. …”
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Enhanced Skin Lesion Segmentation and Classification Through Ensemble Models by Su Myat Thwin, Hyun-Seok Park

“…This study addresses challenges in skin cancer detection, particularly issues like class imbalance and the varied appearance of lesions, which complicate segmentation and classification tasks. …”
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