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821
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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822
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823
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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824
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825
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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826
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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827
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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828
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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829
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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830
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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831
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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832
Detection of plasmid-mediated qnr genes among the quinolone-resistant Escherichia coli isolates in Iran
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833
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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834
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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835
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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836
Deepfake Media Forensics: Status and Future Challenges
Published 2025-02-01“…This paper is mainly based on the description of a research project called FF4ALL (FF4ALL-Detection of Deep Fake Media and Life-Long Media Authentication) for the detection and authentication of deepfakes, focusing on areas such as forensic attribution, passive and active authentication, and detection in real-world scenarios. …”
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837
Preclinical and first-in-human of purinostat mesylate, a novel selective HDAC I/IIb inhibitor, in relapsed/refractory multiple myeloma and lymphoma
Published 2025-06-01“…Purinostat mesylate (PM), a highly selective HDAC I/II binhibitor, exhibits excellent antitumor activity in MM and lymphoma cell lines and mouse models, outperforming the pan-HDAC inhibitor panobinostat or first-line/second-line multi-drug combinations. …”
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838
Effect of gravity on the pattern formation in aqueous suspensions of luminous Escherichia coli
Published 2025-02-01“… This paper presents a nonlinear two-dimensional-in-space mathematical model of self-organization of aqueous bacterial suspensions. The reaction–diffusion–chemotaxis model is coupled with the incompressible Navier–Stokes equations, which are subject to a gravitational force proportional to the relative bacteria density and include a cut-off mechanism. …”
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839
Ophthalmoplegia in the Acute Phase of Hemolytic Uremic Syndrome: A Case Report
Published 2021-03-01“…Although conventional magnetic resonance imaging was normal, symmetric diffusion restriction was detected in bilateral putamen on diffusion-weighted images. …”
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840
Sequential SAR-to-Optical Image Translation
Published 2025-07-01“…A variational autoencoder is employed to encode and decode images, enabling the diffusion model to learn the distribution of features within optical image sequences. …”
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