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SSB: Smart Contract Security Detection Tool Suitable for Industrial Control Scenarios
Published 2025-07-01“…The framework’s ability to model industrial invariants—covering security, functionality, consistency, time-related, and resource consumption aspects—provides a robust mechanism to prevent critical errors like unauthorized access or premature equipment operation. …”
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483
An enhanced lightweight model for apple leaf disease detection in complex orchard environments
Published 2025-03-01“…However, in complex natural environments, factors such as light variations, shading from branches and leaves, and overlapping disease spots often result in reduced accuracy in detecting apple diseases. To address the challenges of detecting small-target diseases on apple leaves in complex backgrounds and difficulty in mobile deployment, we propose an enhanced lightweight model, ELM-YOLOv8n.To mitigate the high consumption of computational resources in real-time deployment of existing models, we integrate the Fasternet Block into the C2f of the backbone network and neck network, effectively reducing the parameter count and the computational load of the model. …”
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484
Portable cotton swab biosensor for rapid naked-eye detection of Helicobacter pylori
Published 2025-09-01“…These findings support the biosensor's utility as a point-of-care diagnostic tool in low-resource settings for the early detection and surveillance of H. pylori infections.…”
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485
Application of VGG16 in Automated Detection of Bone Fractures in X-Ray Images
Published 2025-02-01“…The training and testing phases utilized an 80:20 split of the data, employing binary cross-entropy as the loss function and the Adam optimizer for efficient weight updates. …”
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486
Gold nanobiosensors and Machine Learning: Pioneering breakthroughs in precision breast cancer detection
Published 2024-12-01“…These sensors take advantage of the unique optical and electric properties that gold nanoparticles have, enabling them to achieve an accurate molecular level of detection. Gold nanobiosensors have been significantly developed through innovations like signal amplification and surface functionalization, integrated with the use of advanced imaging techniques. …”
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487
Developing a Machine Vision System to Detect Weeds from Potato Plant
Published 2018-03-01Get full text
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488
An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery
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489
A study devoted to the design of a special nozzle with multiple functions
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490
Optimization of Protein Extraction from Sunflower Meal Using Taguchi Design and Regression Modeling for Human Nutrition Applications
Published 2025-07-01“…Safety analyses confirmed the absence of detectable aflatoxins and very low PAH levels. These results support the use of sunflower protein concentrate as a sustainable, nutritionally valuable, and safe ingredient for functional food applications. …”
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491
Isolation and Functional Characterization of Yeasts from Fermented Plant Based Products
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492
Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification
Published 2024-01-01“…Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable principles embraced by smart cities. …”
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493
Circular Animal Protein Hydrolysates: A Comparative Approach of Functional Properties
Published 2025-06-01“…Conversely, SHARK and FISH supported opportunistic bacteria growth, suggesting a potential use as nitrogen sources in microbial media. These findings highlight the nutritional and functional versatility of animal-derived protein hydrolysates and support their integration into sustainable feed strategies within a circular bioeconomy.…”
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494
Joint planning of energy storage site selection and line capacity expansion in distribution networks considering the volatility of new energy
Published 2024-11-01“…This technology uses CHk-means clustering calculations based on actual large-scale operation data of new energy sources to generate typical operating curves. Then, it finely constructs an objective function considering power transmission in the transmission-distribution network, abandonment of new energy, line limits, and energy storage construction. …”
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A Hybrid and Modular Integration Concept for Anomaly Detection in Industrial Control Systems
Published 2025-04-01“…Therefore, in this paper, we present a modular and hybrid concept that enables the integration of efficient and effective anomaly detection while optimising the use of available resources under consideration of industrial requirements. …”
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Review of Fault Detection and Diagnosis Methods in Power Plants: Algorithms, Architectures, and Trends
Published 2025-06-01“…Key findings are summarized in a comparative matrix, highlighting trends, gaps, and inconsistencies across publication sources. This review identifies critical research gaps—including the underuse of hybrid models, lack of benchmark datasets, and limited integration between detection and control layers—and offers concrete recommendations for future research. …”
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Multi-Person Fall Detection Using Data Assimilation Method With Kalman Filter
Published 2025-01-01“…Fall detection is an essential technology for ensuring the safety of elderly individuals, as falling accidents are critical and can cause significant functional damage in old age. …”
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Detection of Elementary White Mucosal Lesions by an AI System: A Pilot Study
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Automatic detection of floating instream large wood in videos using deep learning
Published 2025-02-01“…Therefore, the findings of this paper could be used when designing a custom wood detection network. With the growing availability of flood-related videos featuring wood uploaded to the internet, this methodology facilitates the quantification of wood transport across a wide variety of data sources.…”
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