Tunnel Crack Segmentation Algorithm Based on Feature Enhancement by Lihua Feng, Aijun Yao, An Huang

“…To address these challenges, this paper proposes a tunnel crack detection method. Firstly, a novel Dynamic Feature Enhancement Network (DFEN) module is designed to extract preliminary features using a feature extractor and selectively enhance feature representations through a gating mechanism. …”
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Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations by Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

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Motion velocity as a preattentive feature in cartographic symbolization by Paweł Cybulski, Vassilios Krassanakis

“…The same applied to symbols’ shape. Eye movement analysis revealed that successful detection was closely related to the fixation on the target after initial preattentive vision. …”
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The noise analysis and multi-physical field coupling study of high-precision SERF atomic gyroscopes by Jiaxin Liu, Xusheng Lei, Yu Yuan, Yizhe Zhou, Haoying Pang, Zhihong Wu

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Clinical and epidemiological features of the Measles in children of the Astrakhan region by G. A. Kharchenko, O. G. Kimirilova

“…According to the Rospotrebnadzor of the Russian Federation for the first quarter of 2019 were registered 872 cases of measles, which indicates a tense epidemic situation for this pathology.Objective: to establish clinical and epidemiological features of measles in children depending on age in the Astrakhan region for the period from January 2013 to June 2019.Research methods: the analysis of 370 cases of measles in children aged 3 months to 17 years, confirmed by enzyme immunoassay (ELISA).The results of the study: in the age structure of the incidence of measles in the Astrakhan region prevail unvaccinated children aged 2—3 years, and less than 1 year, not subject to vaccination against measles. …”
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Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm by Jawhara Aljabri

“…Besides, the sand cat swarm optimization (SCSO) model is used for the feature selection (FS) process. The proposed MHAID-IWSOA model employs the bidirectional gated recurrent unit with multi-head attention (BiGRU-MHA) technique for attack detection and classification. …”
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Clinical and laboratory features of atypical mycobacteriosis in HIV-patients by A. M. Panteleev, M. S. Dracheva, O. V. Nikulina, O. S. Sokolova, A. V. Zonova

“…The aim of this study was to evaluate dynamics of the detection of MAC-infection in HIVinfected patients in St. …”
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Early detection of thermal image based T1 breast cancer using enhanced multiwavelet denoised convolution neural network with region based analysis by P. Geetha, S. UmaMaheswari

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Mango (Mangifera indica) tree detection and counting in mango orchard with satellite images using deep learning model YOLO: A comparative analysis by LALIT BIRLA, ANSHU BHARADWAJ, RAJNI JAIN, CHANDAN KUMAR DEB, VINAY KUMAR SEHGAL, RAMASUBRAMANIAN V

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Ripen banana dataset: A comprehensive resource for carbide detection and ripening stage analysis to enhance food quality and agricultural efficiencyMendeley Data by Elman Alam, Md Tarequl Islam, Ishrat Zahan Raka, Onamika Sarkar Ritu, Md Shakhawat Hossain, Wahidur Rahman, Rahat Khan

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Design and Analysis of a Sowing Depth Detection and Control Device for a Wheat Row Planter Based on Fuzzy PID and Multi-Sensor Fusion by Yueyue Li, Bing Qi, Encai Bao, Zhong Tang, Yi Lian, Meiyan Sun

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Features of laboratory tests for diagnosis of rubella in pregnant women by T. D. Grigor’eva, M. A. Belopolskaya, S. S. Vashukova, N. G. Makarova, N. V. Andreeva

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Molecular features of head and neck squamous cell carcinoma by G. V. Kakurina, E. S. Kolegova, О. V. Cheremisina, Е. L. Choinzonov

“…To identify new markers of early diagnosis and prognosis of head and neck squamous cell carcinoma (HNSCC) it is necessary to study the molecular features of this disease.Purpose. The aim of the study was to analyze blood serum protein spectrum in patients with HNSCC and in healthy volunteers using the methods of mass spectrometry and to evaluate the selected serum protein markers as candidates for early detection of HNSCC.Materials and Methods: The blood serum of HNSCC patients before therapy with metastases, without metastases and healthy volunteers was studied by proteomic methods. …”
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LLM-MalDetect: A Large Language Model-Based Method for Android Malware Detection by Ruirui Feng, Hui Chen, Shuo Wang, Md Monjurul Karim, Qingshan Jiang

“…To address this gap, we introduce LLM-MalDetect, a novel framework that improves LLM-based APK analysis by explicitly modeling semantic dependencies and leveraging structured prompt engineering for optimized detection. …”
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Features of polymorbid pathology in patients with autoimmune bullous dermatosis by M. A. Ufimtseva, N. V. Izmozherova, E. P. Gurkovskaya, Yu. M. Bochkarev

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SLEEP-SAFE: Self-Supervised Learning for Estimating Electroencephalogram Patterns With Structural Analysis of Fatigue Evidence by Wonjun Ko, Jeongwon Choe, Jonggu Kang

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A Comparative Study of Two-Stage Intrusion Detection Using Modern Machine Learning Approaches on the CSE-CIC-IDS2018 Dataset by Isuru Udayangani Hewapathirana

“…This study proposes a novel two-stage intrusion detection framework using the CSE-CIC-IDS2018 dataset, a comprehensive and realistic benchmark for network traffic analysis. …”
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Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC by Zhipeng Li, Shaobo Liu, Yang Zhang, Zhaowei Wang, Lu Wang, Lu Huang

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Plot-scale peanut yield estimation using a phenotyping robot and transformer-based image analysis by Zhengkun Li, Rui Xu, Nino Brown, Barry L. Tillman, Changying Li

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Hybridization Chain Reaction-Enhanced Ultrasensitive Electrochemical Analysis of miRNAs with a Silver Nano-Reporter on a Gold Nanostructured Electrode Array by Bin Wang, Huiqiang Ma, Mingxing Zhou, Xian Huang, Ying Gan, Hong Yang

“…However, the intrinsic properties of miRNAs, such as short length, low abundance, and high sequence homology, represent great challenges for fast and accurate miRNA detection in clinics. Herein, we developed a novel hybridization chain reaction (HCR)-based electrochemical miRNAs chip (e-miRchip), featured with gold nanostructured electrodes (GNEs) and silver nanoparticle reporters (AgNRs), for sensitive and multiplexed miRNA detection. …”
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