Deep learning with ensemble-based hybrid AI model for bipolar and unipolar depression detection using demographic and behavioral based on time-series data by Naga Raju Kanchapogu, Sachi Nandan Mohanty

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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…However, data encryption, while ensuring privacy and security, has also become a means for illegal content to evade network supervision. To achieve the detection and analysis of encrypted traffic, it has become necessary to efficiently identify encrypted traffic. …”
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Features of inpatient treatment of patients with skin diseases and sexually transmitted infections by V. V. Korolenko, T. S. Gruzieva

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Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model by Pan Zhang, Shaogui Deng, Xiyong Yuan, Fen Liu, Weibiao Xie

“…Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). …”
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Clinical-epidemiological and pathogenetic features of viral hepatitis C in the hemodialysis departments by R. N. Akalaev, G. Z. Aripkhodzhaeva, S. A. Rashidova, A. N. Abdullaev, K. A. Khashimov

“…When analyzing the clinical examination and laboratory test results of 395 patients, the parenteral viral infection markers were detected in 181 patients (45.8%). The analysis of the overall incidence of viral hepatitis showed that chronic viral hepatitis C had the highest rates and was found in 125 patients (31.6%). …”
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An experimental method for detecting objects in an aqueous environment by Kuzmin Yuri, Proshkin Stanislav

“…The methodology is underpinned by a comprehensive mathematical analysis of electromagnetic field diffraction caused by elongated conductive and non-conductive spheroids in an aqueous environment, specifically when interacting with a grounded cable. …”
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Unsupervised detection of semantic correlations in big data by Santiago Acevedo, Alex Rodriguez, Alessandro Laio

“…The proposed algorithm is largely insensitive to the so-called curse of dimensionality, and can therefore be used in big data analysis. We test this approach identifying phase transitions in model magnetic systems and we then apply it to the detection of semantic correlations of images and text inside deep neural networks.…”
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Transient Fault Detection in Networked Control Systems by Xiong-Feng Huang, Chun-Jie Zhou, Shuang Huang, Kai-Xin Huang, Xuan Li

“…And the transient faults are excavated in node level and system level, in which parameter match and model-based detections are employed. Moreover, the key implementation aspects of the proposed approach in NCSs are detailed on parameterization of FBS models, criteria, and feature parameters of faults, fault monitoring, fault detection, and real-time scheduling considering fault detection. …”
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Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

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Systematic Review: Malware Detection and Classification in Cybersecurity by Sebastian Berrios, Dante Leiva, Bastian Olivares, Héctor Allende-Cid, Pamela Hermosilla

“…These studies cover a variety of detection techniques, including machine learning, deep learning and hybrid models, with a focus on feature extraction, malware behavior analysis and the application of advanced algorithms to improve detection accuracy. …”
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Clinical and laboratory features of the course of the Crimean-Congo hemorrhagic fever in Uzbekistan by S. S. Saydaliev, R. I. Kasimova, U. Kh. Mirzaev, E. I. Musabaev

“…The results of this study are based on a retrospective analysis of all confirmed patients.Results: 81 patients with CCHF confirmed by enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR) methods were examined. …”
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Insider threat detection for specific threat scenarios by Tian Tian, Chen Zhang, Bo Jiang, Huamin Feng, Zhigang Lu

“…Traditional methods mainly analyze user behavior patterns or convert behaviors into time sequences for further analysis. However, existing detection methods primarily focus on identifying abnormal users or behaviors, lacking the capability to pinpoint specific threats. …”
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Enhancing Gait Analysis for Parkinson’s Disease Detection and Severity Staging With a Parallel Conv1D-Efficient Transformer and Bidirectional GRU Hybrid Architecture by Xiaoli Huan, Hong Zhou, Byungkwan Jung, Long Ma

“…This study introduces a novel parallel hybrid architecture combining Conv1D, Efficient Transformers, and Bidirectional GRU layers to analyze gait data for both PD detection and severity staging. Conv1D layers extract local spatial features, Efficient Transformers capture contextual dependencies, and Bidirectional GRUs model temporal patterns in VGRF signals. …”
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A Novel Approach for Automatic Detection of Concrete Surface Voids Using Image Texture Analysis and History-Based Adaptive Differential Evolution Optimized Support Vector Machine by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…To inspect the quality of concrete structures, surface voids or bugholes existing on a concrete surface after the casting process needs to be detected. To improve the productivity of the inspection work, this study develops a hybrid intelligence approach that combines image texture analysis, machine learning, and metaheuristic optimization. …”
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Complex Indoor Human Detection with You Only Look Once: An Improved Network Designed for Human Detection in Complex Indoor Scenes by Yufeng Xu, Yan Fu

“…The comprehensive case analysis and comparative evaluation highlight the superiority and effectiveness of this method in complex indoor human detection tasks.…”
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Dry-Type Air-Core Series Reactor Turn-to-Turn Short Circuit Fault Detection Method Based on Multi-Parameter Data Fusion by WANG Yin, WANG Yuanyuan, CAO Chengjun, ZHANG Lizhi, YIN Youpeng, JI Hongzhen, DOU Di

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Emotion Recognition in the Eye Region Using Textural Features, IBP and HOG by Laura Jalili, Josue Espejel, Jair Cervantes, Farid Lamont

“…Methodology: The algorithm we devised not only detects facial features but also autonomously isolates the eyes and mouth regions. …”
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Flares on TRAPPIST-1 Reveal the Spectrum of Magnetic Features on Its Surface by Valeriy Vasilyev, Nadiia Kostogryz, Alexander I. Shapiro, Astrid M. Veronig, Benjamin V. Rackham, Christoph Schirninger, Julien de Wit, Ward Howard, Jeff Valenti, Adina D. Feinstein, Olivia Lim, Sara Seager, Laurent Gizon, Sami K. Solanki

“…We suggest that the flaring event triggers the disappearance of (part of) a dark magnetic feature, producing a net brightening. This suggestion is motivated by solar data: flare-induced disappearance of magnetic features on the solar surface has been directly detected in high spatial resolution images, and our analysis shows that this process produces changes in solar brightness very similar to those we observe on TRAPPIST-1. …”
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Clinicopathological features of colon cancer depending on the dMMR status of the tumor by S. S. Naumov, N. V. Krakhmal, M. N. Tarasov, M. I. Taranenko, E. V. Udut, Yu. V. Kolobovnikova, S. V. Vtorushin

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Clinicopathological features and prognostic significance of TAF1L in gastric cancer by Han Chen, Hang Chen, Jingquan Fang, Xingmao Huang, Xiu Zhu, Tengjiao Chai, Xiangliu Chen, Ling Huang, Pengfei Yu

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