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2101
Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification
Published 2025-07-01“…The significant features of healthcare are the privacy of medical details and the accuracy of disease identification. …”
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2102
Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks
Published 2025-01-01“…Long Short-Term Memory (LSTM) can capture long-range dependencies in sequential data, while Temporal Convolutional Network (TCN) efficiently models temporal patterns using convolutional layers and Transformer Networks fathom the relative importance of temporal features against one another through self-attention, thus improving their detection accuracy for anomalies that happen over a long duration. …”
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2103
Identification of fine antigenic epitopes of Tamdy virus glycoprotein Gn fragment and establishment of ELISA detection method
Published 2025-01-01“…Conclusions Eight precise epitopes were identified, and an indirect ELISA method based on fusion multiepitope peptide (r-Gn-MEPX2) was developed and implemented, featuring high sensitivity, accuracy, and specificity. …”
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2104
Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study
Published 2025-07-01“…Abstract Objective This study aimed to develop and validate a predictive model to detect osteoporosis using radiomic features and machine learning (ML) approaches from lumbar spine computed tomography (CT) images during an abdominal CT examination. …”
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2105
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2106
Correlation between EpCAM expression and cervical lymph node metastasis in papillary thyroid carcinoma: a study integrating ultrasonographic features
Published 2025-04-01“…Age, sex, and nodule features in ultrasound were recorded. Participants were classified based on the presence of CLNM. …”
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2107
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2108
The Applicability of a Complete Archive of Keyhole Imagery for Land-Use Change Detection in China (1960–1984)
Published 2025-05-01“…Declassified Keyhole imagery partially provides multi-temporal coverage that can support land-use change analysis. However, the volume of commercial (paid) Keyhole data is much larger than that of free imagery, and the extent to which commercial data can enhance the application of Keyhole imagery for land-use change analysis remains unknown. …”
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2109
Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network
Published 2025-05-01“…These results highlight the potential of DTS-GAN in providing precise and automated seizure detection, serving as a robust tool for clinical EEG analysis.…”
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2110
Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection
Published 2025-08-01“…In contrast, convergence analysis demonstrated PO-RBM’s computational efficiency relative to PSO, GWO, and GA alternatives. …”
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2111
DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION
Published 2017-01-01“…The Fourier spectrum of MVMD was used to detect the unbalance of Cardan shaft in high-speed train. …”
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2112
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2113
Exploring the role of Epstein-Barr virus infection on the clinical features and survival in locally advanced cervical cancer: a retrospective cohort study
Published 2024-12-01“…Real-time Polymerase chain reaction (RT-PCR) was used to detect EBNA-1 (Epstein-Barr nuclear antigen 1) and LMP-1 (Latent membrane protein 1). …”
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2114
Ultrasensitive detection of amlodipine using plasmonic optical fiber sensors enhanced with graphene oxide and chitosan nanocomposite
Published 2025-08-01“…These resonance wavelength shifts allow for accurate quantification of AML by employing Langmuir and Sips adsorption isotherm models. Experimental analysis reveals a remarkable sensitivity of 2315.2 nm/µM for AML detection, alongside a strong binding affinity of 60.12 µM⁻1. …”
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2115
Investigation of Effectiveness of Some Vibration-Based Techniques in Early Detection of Real-Time Fatigue Failure in Gears
Published 2010-01-01“…This paper presents the applications of vibration-based techniques (i.e. conventional time and frequency domain analysis, cepstrum, and continuous wavelet transform) to real gear vibrations in the early detection, diagnosis and advancement monitoring of a real tooth fatigue crack and compares their detection and diagnostic capabilities on the basis of experimental results. …”
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2116
Clinicopathological characteristics and diagnostic performance of metagenomic pathogen detection technology in mycobacterial infections among HIV patients
Published 2025-04-01“…HIV-positive status, lymph node involvement, and MetaPath™ positivity independently predict mycobacterial detection. HIV-positive patients exhibit distinct clinicopathological features, emphasizing the need for tailored diagnostic and therapeutic approaches based on immune status.…”
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2117
Population dynamics of Tricentrus sp. and detection of jujube witches'-broom phytoplasma in a Shandong jujube orchard
Published 2025-06-01“…A total of 36 Tricentrus sp. individuals were collected from the orchard. Nested PCR analysis detected jujube witches' broom phytoplasma in 8 of these specimens, yielding an infection rate of 22.22%. …”
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2118
Automatic detection of teacher behavior in classroom videos using AlphaPose and Faster R-CNN algorithms
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2119
Hierarchical Deep Learning Model Optimization Using Enhanced Evolutionary-based Approach for Fake News Detection
Published 2025-01-01“…In comparison to manually designed HDLM, the proposed approach achieves up to 97.86% model compression with a 0.34% accuracy improvement, while a variant achieves 96.24% compression with a 0.23% accuracy improvement. Comparative analysis shows that DLECA outperforms Random Walk and Bayesian Optimization in multimodal fake news detection, offering a more efficient and accurate solution.…”
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2120
Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches
Published 2024-09-01“…In addition, principal component analysis (PCA) and partial least squares (PLS) were used to determine the most significant features. …”
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