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81
LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress
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doctoralThesis -
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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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84
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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85
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Published 2022“…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”
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Sub-ppm of toxic gases detection on Ag-doped WO<sub>3</sub> nanosensor
Published 2024“…Heron, the synthesis of Ag/WO<sub>3</sub> sensors with excellent sensitivity at extremely low gas concentrations is reported, making this sensor a promising tool for detecting toxic gases that threaten human health. Furthermore, the potential implications of this research on human health are significant, as detecting low concentrations of these gases can be a potential tool for the diagnostic process as well as health and environmental monitoring.…”
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A novel mobile and vehicular Ad Hoc cloud framework for intursion detection. (c2017)
Published 2017“…The experiments demonstrate various improvements achieved by our framework. Based on our IOD module, our approach is capable of significantly reducing energy consumption, execution time, and number of selected computational nodes.…”
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masterThesis -
89
PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping
Published 2024“…This paper introduces PermGuard, a scalable framework for Android malware detection that maps permissions into exploitation techniques and employs incremental learning to detect malicious apps. …”
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AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks
Published 2024“…By integrating <u>DP</u>, we ensure the confidentiality of data during the detection process, setting a new standard for privacy in cybersecurity solutions. …”
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91
A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection
Published 2025“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …”
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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
Published 2024“…We highlight the transition from traditional signature-based to anomaly-based detection methods, emphasizing the significant advantages of AI-driven approaches in identifying novel and sophisticated intrusions. …”
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PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images
Published 2025“…Early and precise detection is crucial to optimizing treatment strategies and reducing morbidity and mortality rates. …”
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Early gas kick detection in vertical wells via transient multiphase flow modelling: A review
Published 2020“…A kick perturbs the system; analysis of the resulting transient flow could lead to significant improvement in timely detection of a kick. …”
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Combining three in vitro assays for detecting early signs of UVB cytotoxicity in cultured human skin fibroblasts
Published 2006“…The aim of this study was to determine the most sensitive approach for detecting the early signs of UVB-induced cellular damage using human skin fibroblasts. …”
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Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture
Published 2023“…However, many diseases reduce the quality and quantity of tomato and cotton crops, resulting in a significant loss in production and productivity. It is critical to detect these disorders at an early stage of diagnosis. …”
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Detection, molecular typing and phylogenetic analysis of Leishmania isolated from cases of leishmaniasis among Syrian refugees in Lebanon
Published 2016“…The parasites identified were all L. tropica as determined by both techniques. ITS1-5.8S rDNA gene based typing proved to be more sensitive in the detection of parasites (positive in 69.2% of the isolates) as opposed to the ITS1-PCR RFLP method that was successful in identifying L. tropica in only 43.6% of the isolates. …”
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Wastewater-based epidemiology for tracking bacterial diversity and antibiotic resistance in COVID-19 isolation hospitals in Qatar
Published 2023“…BackgroundHospitals are hotspots for antimicrobial resistance genes (ARGs), and play a significant role in their emergence and spread. Large numbers of ARGs will be ejected from hospitals via wastewater systems. …”
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Detecting location of construction defects in drilled shafts using frequency tomography analysis of cross-hole sonic logging
Published 2014“…Several studies have used arrival time and wave speed, such as in cross-hole tomography, to detect construction defects in drilled shaft foundations. …”
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conferenceObject -
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VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models
Published 2025“…This improvement in spatial and channel attention significantly boosts detection performance, particularly for small and occluded drones. …”