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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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Diagnostic accuracy of interleukin-6 (IL-6) as a significant biomarker in late-onset neonatal sepsis: an updated systematic review and meta-analysis
Published 2025“…Interleukin-6 (IL-6) has emerged as a promising biomarker for early detection of LONS, yet the diagnostic performance of IL-6 remains inconsistent across studies. …”
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Automatic detection of data manipulation in power systems
Published 2019Get full text
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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones
Published 2023“…In recent years, there has been a significant increase in the utilization of IoT-enabled drone data management technology. …”
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Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application
Published 2024“…However, mulberry trees are highly susceptible to diseases, spreading rapidly and causing significant losses. Manual disease identification across large farms is arduous and time-consuming. …”
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Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis
Published 2025“…<p dir="ltr">The rapid proliferation of uncrewed aerial vehicles (UAVs) across modern applications has significantly heightened their susceptibility to cyber and physical security threats. …”
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Hybrid Classification Approach Utilizing DenseUNet+ for Diabetic Macular Edema Disorder Detection
Published 2024“…Diabetic macular edema (DME) poses a significant threat to vision. It is characterized by the enlargement of the macula due to the accumulation of plasma in the extracellular space of the retina. …”
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A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks
Published 2025“…These results outperform computationally expensive methods reported in related works, showcasing that the FPAC framework achieves high detection performance with very low overheads while also generalizing effectively across different network attack types. …”
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Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems
Published 2024“…The volume of spam emails is rising rapidly day by day. Detecting and filtering spam presents significant and complex challenges for email systems. …”
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Laser Direct Infrared Spectroscopy: A cutting-edge approach to microplastic detection in environmental samples
Published 2024“…Utilizing a Quantum Cascade Laser (QCL), LDIR offers rapid, sensitive, and automated detection capabilities. It significantly reduces analysis time compared to conventional techniques such as Fourier Transform Infrared (FTIR) and Raman spectroscopic techniques, making it ideal for large-scale environmental monitoring. …”
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Crowd behavior detection: leveraging video swin transformer for crowd size and violence level analysis
Published 2024“…<p dir="ltr">In recent years, crowd behavior detection has posed significant challenges in the realm of public safety and security, even with the advancements in surveillance technologies. …”
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Published 2022“…In the next phase, an IRF eliminates the less significant attributes, incorporates a list of decision trees across each iterative process, supervises the classifier’s performance, and prevents overfitting issues. …”
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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection
Published 2024“…However, the limited number of trash image categories and the inadequacy of existing datasets have constrained the proper evaluation of machine learning model performance across a large number of waste classes. In this paper, we present robust waste image classification and object detection studies using deep learning models, utilizing 28 distinct recyclable categories of waste images comprising a total of 10,406 images. …”
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