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A Systematic Literature Review: Classifying IoT Botnet Data Features Based on Its Lifecycle
Published 2025-01-01“…This paper presents a systematic literature review of IoT botnet detection research conducted over the past five years, initially filtering 143 studies and ultimately reviewing 134 based on a quality assessment. …”
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Bridging Theory and Practice: Addressing Current Cybersecurity Gaps in Industry 5.0
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Analysis of Cardiac Arrhythmias Based on ResNet-ICBAM-2DCNN Dual-Channel Feature Fusion
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Duty of care, data science, and gambling harm: A scoping review of risk assessment models
Published 2025-05-01“…Online operators often employ risk detection algorithms to accomplish this task. This scoping review focuses on how such data science applications can perform from a duty of care perspective. …”
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Edge-YOLO: Lightweight Multi-Scale Feature Extraction for Industrial Surface Inspection
Published 2025-01-01“…The increasing complexity of industrial quality control necessitates advanced defect detection systems capable of identifying small-scale surface anomalies with high precision. …”
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Land Cover Change and Fragmentation Within China’s Ramsar Sites
Published 2025-03-01“…Three primary assessments were performed: detection of change in land covers, fragmentation using effective mesh size and driver analysis using a random forest classifier. …”
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Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems
Published 2024-05-01“…Some features that could be useful in detecting fraudulent job ads include job location, job description, job requirements, job responsibilities, company information, and recruiter data. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters
Published 2024-12-01“…Both developed circuits featured the deployment of the STM32F103C8T6 microcontroller, renowned for its robust capabilities and cost efficiency.In the interrupt-based algorithm's development, the microcontroller's external interrupt was used, selecting its sensitivity to detect both rising and falling edges. This strategic configuration ensured comprehensive scanning of all receivers by the analog-to-digital converter upon any interruption in the infrared sensors. …”
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GSPSO-LRF-ELM: Grid Search and Particle Swarm Optimization-Based Local Receptive Field-Enabled Extreme Learning Machine for Surface Defects Detection and Classification on the Magn...
Published 2020-01-01“…Machine vision-based surface defect detection and classification have always been the hot research topics in Artificial Intelligence. …”
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Engineering Hierarchical CuO/WO<sub>3</sub> Hollow Spheres with Flower-like Morphology for Ultra-Sensitive H<sub>2</sub>S Detection at ppb Level
Published 2025-07-01“…Highly sensitive real-time detection of hydrogen sulfide (H<sub>2</sub>S) is important for human health and environmental protection due to its highly toxic properties. …”
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Improving Quality of Care Through Detection of Complexity Among Community‐Dwelling Older People Receiving District‐Nurse Support: ImPaCt Study Randomised Controlled Trial
Published 2025-06-01“…Randomisation occurred at the initial client assessment following referral acceptance for community nursing support. …”
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Continuous Real‐Time Detection of H2, He, and 222Rn While Drilling DIVE‐1 Boreholes (ICDP) Indicates Deep Fracture Fluid Migration in Crystalline Rocks
Published 2025-05-01“…Nevertheless, the correlation of He and H2 with CH4 and CO2 provides initial insights into their possible origins, making this method a promising tool for exploring H2 and He gases in deep geological formations.…”
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Research on the characteristics of the falling behavior of mixed coal and gangue
Published 2024-09-01“…Results demonstrated that the subsidence area grew sharply during the initial caving stage and gradually stabilized over time. …”
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Artificial Intelligence in Inflammatory Bowel Disease Endoscopy
Published 2025-04-01“…In addition, these initial experiences revealed the ability to predict the histologic score index and the presence of dysplasia. …”
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Detection of Agricultural Terraces Platforms Using Machine Learning from Orthophotos and LiDAR-Based Digital Terrain Model: A Case Study in Roya Valley of Southeast France
Published 2025-04-01“…This prompted civil society and researchers to identify terraces that could support food security and agri-tourism initiatives. This study aimed to develop a semi-automatic method for detecting and mapping terraced areas using LiDAR and orthophoto data from French repositories, processed with GIS and analyzed through a Support Vector Machine (SVM) classification algorithm. …”
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