Flood Image Classification using Convolutional Neural Networks by Olusogo Julius Adetunji, Ibrahim Adepoju Adeyanju, Adebimpe Omolayo Esan, Adedayo Aladejobi Sobowale Sobowale

“…The model leverage on the unique features of region of Interest aligns to resolve the issues of misalignments caused by the use of region of Interest pooling engaged in the traditional Faster-RCNN. …”
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Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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Genre Classification and the Current State of Turkmen Musical Folklore by Джаміля Курбанова

“… The aim of the article is to characterise the existing classification systems of Turkmen musical folklore, as well as to outline new ways of studying folklore genres to determine their typological characteristics. …”
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PSORIATIC ARTHRITIS: CLASSIFICATION, CLINICAL PRESENTATION, DIAGNOSIS, TREATMENT by T. V. Korotaeva

“…It describes the epidemiology of the disease and considers current ideas on its pathogenesis and factors influencing the development of PsA in psoriatic patients. The classification and clinical forms of PsA are presented. …”
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Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis by Abdelhadi Limane, Farouq Zitouni, Saad Harous, Rihab Lakbichi, Aridj Ferhat, Abdulaziz S. Almazyad, Pradeep Jangir, Ali Wagdy Mohamed

“…To respond to this challenge, this paper comprehensively analyzes recent advances in CMAs from 2013 to 2024, proposing a novel classification scheme that systematically organizes prevalent and practical approaches for integrating chaos theory into metaheuristic algorithms based on their strategic roles. …”
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ICRSSD: Identification and Classification for Railway Structured Sensitive Data by Yage Jin, Hongming Chen, Rui Ma, Yanhua Wu, Qingxin Li

“…However, existing methods for identifying and classifying often suffer from limitations such as overly coarse identification granularity and insufficient flexibility in classification. To address these issues, we propose ICRSSD, a two-stage method for identification and classification in terms of the railway domain. …”
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Pneumocentrifugal Classification of Dispersed Particles during Grain Milling by Olga N. Terekhova, Yana S. Duyunova

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Deep learning approach for automated hMPV classification by Sivarama Prasad Tera, Ravikumar Chinthaginjala, Irum Shahzadi, Priya Natha, Safia Obaidur Rab

“…To mitigate this, the framework incorporates advanced techniques such as data augmentation, weighted loss functions, and dropout regularization, which help to balance the dataset, improve model robustness, and enhance classification accuracy. These techniques are crucial in addressing issues such as overfitting and generalization, which are common when working with limited datasets in medical imaging tasks. …”
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Pyoderma in dogs (classification, pathogenesis, main pathogens, treatment) by V. M. Bubnov, Ya. V. Kisera, Yu. V. Martyniv

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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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A review on classification of imbalanced data for wireless sensor networks by Harshita Patel, Dharmendra Singh Rajput, G Thippa Reddy, Celestine Iwendi, Ali Kashif Bashir, Ohyun Jo

“…Classification of imbalanced data is a vastly explored issue of the last and present decade and still keeps the same importance because data are an essential term today and it becomes crucial when data are distributed into several classes. …”
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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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Classification criteria of paediatric Behcet's disease: An evolving area of study by Sathish Kumar

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The concept of crime and the classification of crimes in the criminal law of foreign countries by N. V. Miroshnichenko, V. Yu. Maksimov

“…The article concludes with a study of doctrinal and legislative experience in the field of classification of crimes, as well as the practical significance of this issue for decision-making in the field of criminal legal assessment of committed acts.Results. …”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fathima Fajila, Yuhanis Yusof

“…Results show that CFS-MCFA-SVM achieved 100% accuracy with only a few biomarkers for all four cancer microarray datasets, indicating the efficiency and the competing performance of the proposed algorithm in biomarker detection for microarray-based cancer classification. Apart from that, the proposed algorithm would also contribute to cancer-related issues upon verifying the relevancy of particular genes via technical analysis from a medical perspective and would be utilised in feature selection applications. …”
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