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501
Design and Application of a Liquid Detection Device Based on Transmission Near-Infrared Spectroscopic Imaging
Published 2024-01-01“…Experimental results showed that the relative error of the predicted concentration values was within 4%, indicating excellent detection performance. Therefore, the design of the device demonstrates favorable feasibility and wide applicability in liquid detection systems.…”
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502
Detection of Ship Wakes in Dynamic Sea Surface Video Sequences: A Data-Driven Approach
Published 2024-11-01“…In order to enhance the detection of maritime vessel targets, considering the causal relationship between the motion of vessels and their wakes, as well as the characteristics of ship wakes such as large diffusion range and distinctive features, this paper proposes a data-driven method based on Dynamic Mode Decomposition (DMD) for detecting and analyzing ship wakes in sea surface videos. …”
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503
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504
A Multimodal Parallel Transformer Framework for Apple Disease Detection and Severity Classification with Lightweight Optimization
Published 2025-05-01“…To address the impact of complex disease characteristics and diverse environmental factors on detection accuracy, this study proposes a multimodal parallel transformer-based approach for apple disease detection and classification. …”
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505
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Chromogenic versus Conventional: A Comparative Analysis for Uropathogen Detection in Paediatrics at a Tertiary Centre
Published 2025-04-01“…Bacterial isolates were identified using standard bacteriological techniques, and their antimicrobial susceptibility was determined using the Kirby–Bauer disk diffusion method. Results: Escherichia coli was the most prevalent Gram-negative organism detected on both conventional and UTI chromogenic agar. …”
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508
Detection, Characterization, and Molecular Typing of Human Mycoplasma spp. from Major Hospitals in Cairo, Egypt
Published 2014-01-01“…Mycoplasmas were detected more frequently in throat swabs than sputum. …”
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509
Polymer-Dispersed Liquid Crystal Gas Sensor for Acetone Detection Using Correlated Laser Speckles
Published 2024-12-01“…Abstract Acetone is a widely used volatile organic compound in various industries, and several gas sensors have been developed for its detection and real-time monitoring. This study reported a novel method for determining the acetone vapor concentration based on correlated laser speckles using polymer-dispersed liquid crystals (PDLCs). …”
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510
Detection of ESBLs and carbapenemases among Enterobacteriaceae isolated from diabetic foot infections in Ouargla, Algeria
Published 2022-11-01“…Antimicrobial susceptibility testing was performed using the disc diffusion method, and the presence of bla genes was detected using polymerase chain reaction (PCR) and DNA sequencing. …”
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511
Evaluation of real-time PCR and flow cytometry efficiency in rapid detection of carbapenemase-producing Enterobacteriales
Published 2023-05-01“…This study aimed to rapidly detect carbapenemase gene region by using flow cytometry in Enterobacteriales isolates and to evaluate its efficiency and susceptibility by comparing it with polymerase chain reaction (PCR). …”
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512
Detecting AI-Generated Images Using a Hybrid ResNet-SE Attention Model
Published 2025-07-01“…This paper presents a novel hybrid deep learning model for detecting AI-generated images by integrating the ResNet-50 architecture with Squeeze-and-Excitation (SE) attention blocks. …”
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513
Enhanced Yolov8 network with Extended Kalman Filter for wildlife detection and tracking in complex environments
Published 2024-12-01“…Initially, the Stable Diffusion model augments the dataset, establishing a basis for training data. …”
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514
Improving Circulating Tumor Cell Detection Using Image Synthesis and Transformer Models in Cancer Diagnostics
Published 2024-12-01“…Circulating tumor cells (CTCs) are a promising biomarker for early detection; however, their automatic detection is challenging due to their heterogeneous size and shape, as well as their scarcity in blood. …”
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515
Detection of plasmid-mediated qnr genes among the quinolone-resistant Escherichia coli isolates in Iran
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516
Zero-Shot Detection of Visual Food Safety Hazards via Knowledge-Enhanced Feature Synthesis
Published 2025-06-01“…Using this graph as the prior knowledge, our system synthesizes discriminative visual features for unseen hazard classes through a multi-source graph fusion module and region feature diffusion model. Experiments on our newly constructed Food Safety Visual Hazards (FSVH) dataset demonstrate that our approach achieves 63.7% mAP in zero-shot hazard detection, outperforming state-of-the-art general zero-shot detection methods by 6.9%. …”
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517
A Robust Cross-Channel Image Watermarking Technique for Tamper Detection and its Precise Localization
Published 2025-01-01“…This property makes proposed algorithm a preferred choice for data integrity protection; it achieved an average F1-score of 0.97 for tamper detection.…”
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518
Application of Artificial Intelligence in Obsessive-Compulsive Disorder Detection and Response to Treatment: A Systematic Review
Published 2025-01-01“…This study reviews the application of artificial intelligence (AI), particularly traditional machine learning (ML) and deep learning (DL), in the detection of OCD and the prediction of responses to various treatments from clinical data and neuroimaging modalities, including electroencephalography (EEG), magnetic resonance imaging (MRI), functional MRI (fMRI) and diffusion tensor imaging data (DTI). …”
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519
Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques
Published 2025-01-01“…This study presents FireNet-CNN, an advanced deep-learning model particularly designed for forest fire detection, which significantly surpasses existing methods in terms of reliability, efficiency, and interpretability. …”
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520
Spectral monitoring technology for gas concentrations of multiple target components in oil and gas leakage detection
Published 2025-07-01“…ObjectiveTraditional gas monitoring methods for oil and gas leakage fall short in meeting the growing demands for the safe operation and maintenance of smart pipeline networks, due to factors such as low detection sensitivity levels, short calibration intervals, frequent false alarms, limited ranges of detectable gases, susceptibility to environmental interference, and reliance on charged sensors. …”
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