The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study by Pranav Parekh, Richard Oyeleke, Tejas Vishwanath

“…MethodsWe started by performing classification using a convolutional neural network (CNN), followed by using explainable artificial intelligence to localize the image features responsible for the CNN output. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…Federated learning (FL) is one of the ML models that permits tackling cyberattack issues like security, data privacy, and access rights. …”
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Amplitude Modulation Depth Coding Method for SSVEP-Based Brain–Computer Interfaces by Ruxue Li, Zhenyu Wang, Xi Zhao, Guiying Xu, Honglin Hu, Ting Zhou, Tianheng Xu

“…A 36-target paradigm based on AMDC strategy was designed and evaluated in terms of user experience and classification performance in Experiment 2. The results show that the proposed paradigm obtains an average classification accuracy of <inline-formula> <tex-math notation="LaTeX">$81.7~\pm ~12.6$ </tex-math></inline-formula>% with an average information transfer rate (ITR) of <inline-formula> <tex-math notation="LaTeX">$45.4~\pm ~11.5$ </tex-math></inline-formula> bits/min. …”
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Comorbidity of physical illnesses and mental disorders in outpatients with tic disorders: a retrospective study using the outpatient case system by Liping Yu, Hui Xu, Zhongliang Jiang, Hanxue Yang, Yonghua Cui, Ying Li

“…Among the top five comorbid disease system, the most commonly third- level classification of diseases were upper respiratory tract infections, attention deficit and hyperactivity disorder, conjunctivitis, dyspepsia, dermatitis. …”
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An Integrated Lightweight Neural Network Design and FPGA-Accelerated Edge Computing for Chili Pepper Variety and Origin Identification via an E-Nose by Ziyu Guo, Yong Yin, Haolin Gu, Guihua Peng, Xueya Wang, Ju Chen, Jia Yan

“…A chili pepper variety and origin detection system that integrates a field-programmable gate array (FPGA) with an electronic nose (e-nose) is proposed in this paper to address the issues of variety confusion and origin ambiguity in the chili pepper market. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…Additionally, we introduce a spatially-constrained loss function that mitigates gradient stability issues by considering the distance between label and prediction boundaries. …”
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A Novel Dual-Modal Deep Learning Network for Soil Salinization Mapping in the Keriya Oasis Using GF-3 and Sentinel-2 Imagery by Ilyas Nurmemet, Yang Xiang, Aihepa Aihaiti, Yu Qin, Yilizhati Aili, Hengrui Tang, Ling Li

“…Although deep learning (DL) methods have been widely employed for soil salinization extraction from remote sensing (RS) data, the integration of multi-source RS data with DL methods remains challenging due to issues such as limited data availability, speckle noise, geometric distortions, and suboptimal data fusion strategies. …”
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Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification by Mohammed F. Al-Mashdali, Asif Islam, Abdulbasit Hassan, Md Shafiullah, Mujahed Al-Dhaifallah, Khalid Al Fuwail

“…Traditional methods for PQD classification use complicated feature extraction techniques, which can be computationally expensive and lack scalability. …”
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European Society of Intensive Care Medicine и Society of Critical Care Medicine: 6 key provisions for management of sepsis patients. Where do we go next? by V. A. Rudnov, V. A. Bagin, M. N. Аstafieva

“…It has been shown that the values of SOFA score, heart rate, syst. blood pressure, lactate and albumin levels should reflect the balance of the groups in these parameters. Molecular classification of patients with sepsis providing different endotypes allows better patients enrollment in clinical trials.…”
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CURRENT PROBLEMS OF PUBLIC DEBT AND SOVEREIGN DEFAULTS TO THE EU COUNTRIES by E. A. Zvonova

“…The article considers the following issues: classification of modern defaults, restructuring of the external debt, default dependence and exchange rate fluctuations. …”
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The EyCon Dataset: A Visual Corpus of Early Conflict Photography by Marina Giardinetti, Daniel Foliard, Julien Schuh, Mohamed-Salim Aissi

“…Challenges in identifying and publishing graphic images due to automated tools’ limitations in detecting violence were addressed with human expertise for accurate classification. Available online and on Zenodo for download and reuse, the dataset confronts issues in computer vision for heritage photographs, such as degradation from fading, discoloration, scratches and noise, which impair algorithms reliant on visual features. …”
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Tool wear monitoring method based on AMIDBOAB and imbalanced data optimization by Guan-Hua Xu, Hong-Yu Wu, Bo Tang, Jun-Long Xu

“…The results indicate that the method significantly enhances the performance of the classification algorithm, achieving a tool wear monitoring accuracy of 95.06%.…”
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Designing diversity: ethical virtual agents for effective dermatological training by Melisa Kujević, Michael Schmitz, Mert Akbal, Corbin Sassen, Marvin Mergen

“…It criticizes current classification schemas like the Fitzpatrick scale as lacking diversity, and encourages alternative approaches. …”
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TECHNIQUES AND FACTORS CONTRIBUTING TO DEVELOPING CRITICAL THINKING SKILLS by Irina Vladimirovna Glukhova

“…The methods involve the analysis of the philosophical, psychology-pedagogical, methodical literature and the scientific periodical publications; generalisation of the Russian and foreign background, classification and arrangement of the considered issues, supervision. …”
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EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

“…This research evaluates various PSO modifications for improving convergence and robustness in rainfall potential prediction using Support Vector Machine (SVM) classification. The UAPSO-SVM algorithm C=0.82568 and γ=0.01960 excels in initial exploration, discovering more optimal global solutions with smaller variability. …”
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Bird Call Identification Using Ensemble Empirical Mode Decomposition by Jingxuan Liu, Hailan Chen

“…Finally, applying a support vector machine classification and recognition algorithm enables a comparative analysis of various calls. …”
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Ukrainian kyrilo-methodian a third of a century of independence by Stambol Ihor, Demyanenko Lyudmila

“…Brychevsky, are analyzed, reviews of problematic issues that the authors often do not manage to solve. …”
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APPLICATION OF DESCRIPTIVE STATISTICS METHODS IN CUSTOMS RISK ANALYSIS by O. E. Kudryavtsev, S. E. Tamrazyan

“…The paper deals with additional issues related to customs risk analysis process, including a description of the impact of customs control of goods and a calculation of a potential economic damage. …”
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Comparative Analysis of Lexical Bundles in Academic Writings by Native English Speakers and Turkish EFL Learners by Aybek Sibel, Can Cem

“…These results suggest underlying issues in EFL pedagogy, particularly the need for explicit instruction on multiword units.…”
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Chemical Properties of Heterogenous Catalysts in Improving Yield of Biofuel Production by Qian Yanfei

“…It systematically optimizes hub layouts, flexible resource allocation, and dynamic control by employing spatial topology algorithms, multi-agent game models, and digital twin technology.A three-tier toolkit comprising “model classification,” “algorithm adaptation,” and “scenario application” has been developed to address issues such as facility layout mismatches, inefficient resource scheduling, and limited resilience to sudden surges in passenger flow.Empirical evidence indicates that, following optimization, the distance between subway and bus connections is reduced to 150 meters, decreasing transfer time by 40%. …”
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