Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 57 for “"YOLO"”.
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School district reorganization in Yolo County
… purpose of this study to survey the schools of Yolo County and to propose a plan for the reorganization of the school districts of that county.</p>
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AI-Based Framework for Identifying Wood Burning Appliances through Chimney Recognition
… rural areas, we trained object detection models (YOLOv11) and integrated them with Vision Language Models (VLMs) for semantic verification. This two-stage pipeline substantially improves detection accuracy over YOLO alone. In the urban Fall Creek neighborhood, the YOLO+VLMs approach achieved an …
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Intelligently Leveraging Multi-Channel Image Processing Neural Networks for Multi-View Co-Channel Signal Detection
… is a known challenge in RFML. We use YOLO, a deep learning algorithm, to deconflict the outputs from different channelizers to avoid overreporting. YOLO's ability to handle three channels makes it ideal for our study as we also use three channelizers. While our approach is not …
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SMARTGUIDE: Revolutionizing the Depth and Dependability of Vision-Impaired Navigation
… (2) Navigation, combining QR code detection via YOLO with ZoeDepth for depth estimation, guiding users to destinations through the shortest path calculated by Dijkstra's algorithm; and (3) Obstacle Detection and Alerts, where YOLO identifies obstacles, and ZoeDepth estimates their distance to …
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Automating Video Analysis for Marine and Behavioural Research: Deep Learning Solutions to Analytical Bottlenecks
… to address this bottleneck, demonstrating how YOLO-based object detection can accelerate inference in video analysis and enable novel analyses. Chapter 2 presents an automated pipeline for estimating abundance in Baited Remote Underwater Video (BRUV) data from offshore wind farms in the …
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Multi-classification and object detection in intelligent manufacturing
… were adopted and compared: Faster R-CNN, YOLO v4, and YOLO v5. They achieved mAP@0.5 of 94.31%, 95.22%, 75.5% respectively, and recall rates of 67%, 89%, 73.5% respectively, which demonstrated promising results for applications on the production line. However, the results were primarily …
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Detekce odložených zavazadel ve veřejných prostorech
… Text dále obsahuje popis použité neuronové sítě YOLO a metod pro porovnávání obrazů. V práci je rovněž popis navrženého algoritmu pro sledování objektů a detekci vlastnictví zavazadla. Výsledkem prace je program, který je schopen detekovat odložené zavazadlo na základě jeho pohybu a vlastnictví.
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Talning fiska með tölvusjón
… á talningarlínu. Notast verður við tauganetin Yolo, Mask RCNN og Retinanet. Niðurstöður rannsóknarinnar sýna að þetta sé mögulegt með tauganetunum með mismunandi skekkju. Bakvið talningu fiska þarf meira en tauganet sem finnur fiska á mynd, en einnig þarf að búa til reiknirit sem fylgir hlutum …
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Design and development of a Virtual Window with industrial and civil applications
… algorithm available. This algorithm, known as Yolov7, excels in achieving swift processing while maintaining a high level of preci- sion.Details of how this model excels compared to other real-time models can be found in Chapter 3. YOLO represents a singular stage detector that adeptly handles …
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Human Detection for Flood Rescue: Application of YOLOv5 Algorithm and DeepSort Object Tracking
… study are to evaluate the effectiveness of the YOLO (You Only Look Once) algorithm for human detection on the river as well as to propose future improvements to the city’s existing alert methods in the event of a flood.
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Detection And Characterization of Insecticide Resistance Mechanisms in Culex Tarsalis
… Culex tarsalis adult females were collected from Yolo and Sutter counties. A bottle bioassay was completed to determine prevalence of resistance to Sumithrin (a pyrethroid; N=217) and Naled (an organophosphate; N=154). A susceptible lab-reared colony was used for comparison. Microplate assays were …
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Machine Learning Methodologies for Beyond 5G and 6G Heterogeneous Networks: Prediction, Automation, and Performance Analysis
… Convolution, a novel technique that builds on YOLO, enabling detection across RGB and infrared modalities. YOLO Phantom achieves a 43% reduction in parameters and model size, and up to 17% increase in speed. Furthermore, the development of secure and efficient authentication methods is crucial …
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Development of a Fully Automated Al System for Skeletal Maturity Assessment Using Cone Beam CT
… adjunctive models and techniques—including YOLO, SAM, Grad-CAM, knowledge distillation, and demographic conditioning—were incorporated into the development of several frameworks. The highest-performing, fully automated pipeline for SOS fusion staging was ConvNeXt with self-attention, YOLO, …
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Machine Learning for Lifespan Inference from Time-Lapse Microfluidic Images of Dividing Yeast Cells
… detecting cells from microfluidic images. The YOLO and Mask R-CNN are trained with yeast microfluidic images and tested for object detection, and features extraction. The results indicate that YOLO had better performance in terms of object detection and accuracy. In contrast, the Mask R-CNN had …
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Les algorithmes d’intelligence artificielle pour la détection, l’inspection des produits naturels : Le bois
… de deux modèles de détection d’objets, YOLOv5 et YOLOv7, directement sur cet ensemble de données en utilisant l’apprentissage par transfert et YOLOv9 pour une base collectée au sein de notre laboratoire. L’évaluation de leurs performances sur des images de test révèle leurs capacités et …
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Landscape and Mechanistic Approaches to Describing Milkweed Habitat and Drought Tolerance and the Implications for Western Monarch Butterflies
… the machine learning model you only look once (YOLO) to map floral habitat. We focused on detecting two milkweed species, narrowleaf milkweed (Asclepias fascicularis), and showy milkweed (Asclepias speciosa). These species are host plants for the declining monarch butterfly (Danaus plexippus). …
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Obstacle Detection and Avoidance System for Unmanned Aerial Vehicles Based on Monocular Camera
… remotely or autonomously. Algorithms like YOLO (You Only Look Once) for object detection and pathfinding algorithms like A* (A-Star) can quickly navigate around large, static objects like buildings or trees. However, detecting small objects and handling dynamic aerial environments remain …
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