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Zeolitic Imidazolate Framework-Based Biosensing Platform for Detection of Covid-19 RNA
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Novel metal–organic framework biosensing platform for detection of COVID-19 RNA
Published 2024“…This ZIF-8 biosensing platform showed high sensitivity towards COVID-19 RNA with an ultra-low limit of detection of 6.24 pM, a rapid detection time of 8 min, and high selectivity to COVID-19 RNA. …”
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Ti-MIL-125: A luminescent Metal Organic Framework for the Sensing of Glucose
Published 2024Get full text
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Simultaneous Multi-Adulterant Detection in Milk Using an In-house Developed Multiplexed Microfluidic Paper-Based Analytical Device (M-µPAD)
Published 2025“…This affordable, in-house fabricated platform offers a promising solution for milk quality assessment in resource-limited settings, addressing the need for accessible and efficient adulterant detection methods.…”
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Correlating process parameters to thrust forces and torque in the friction stir processing of AZ31B
Published 2014“…The thrust force increased while the torque decreased as the tool rotational speed increased. …”
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Ensemble deep learning for brain tumor detection
Published 2022“…Despite extensive research, there are still certain limitations in detecting brain tumors because of the unusual distribution pattern of the lesions. …”
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A Neighborhood Framework for Resource-Lean Content Flagging
Published 2022“…<p dir="ltr">We propose a novel framework for cross- lingual content flagging with limited target- language data, which significantly outperforms prior work in terms of predictive performance. …”
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Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…It has the potential to significantly reduce cyberbullying. Other results, related implications, and limitations, along with future research are also clarified and discussed.…”
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Non-Invasive Biomarkers for Early Lung Cancer Detection
Published 2022“…<p dir="ltr">Worldwide, lung cancer (LC) is the most common cause of cancer death, and any delay in the detection of new and relapsed disease serves as a major factor for a significant proportion of LC morbidity and mortality. …”
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Severity of corrosion under insulation (CUI) to structures and strategies to detect it
Published 2019“…Beside visual inspection, techniques such as neutron backscatter, capacitive imaging and pulsed eddy current can be used to detect the presence of CUI. The strength and limitations of the available commercial detection techniques are evaluated. …”
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Explainable phishing website detection for secure and sustainable cyber infrastructure
Published 2025“…Traditional methods might not fully capture the significance of individual features. To overcome this issue, this research applies feature selection techniques, specifically shapley additive explanations, with each model based primarily on the URL to improve the detection process. …”
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Design and Development of Inexpensive Paper-Based Chemosensors for Detection of Divalent Copper
Published 2023“…The easy preparation and high stability of dye solutions, easy functionalization of the paper-based sensors, high selectivity over other cations, low interference of counter anion, and significantly low detection limit of 2.23 ppm make it an effective Cu<sup>2+</sup> ion sensor for real-time application in near future.…”
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
Published 2024“…It highlights limitations, research gaps, weaknesses, and potential improvements. …”
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Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu
Published 2024“…Moreover, most existing studies on cyberbullying detection have been predominantly conducted in English and very limited work has been done on Urdu (a widely used language in Asia). …”
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Classification and segmentation of kidney MRI images for chronic kidney disease detection
Published 2024“…<p>Chronic Kidney Disease (CKD) is a common ailment with significant public health implications, underscoring the critical importance of early detection and diagnosis for effective management. …”
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Plant Leaf Disease Detection Using Ensemble Learning and Explainable AI
Published 2024“…The study aims to address existing limitations in plant disease detection, offering a comprehensive solution to enhance agricultural practices, foster economic growth, and contribute to environmental sustainability.…”