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 8 of 8 for “"VGG-19"”.
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Improving Computational Efficiency of MRI Brain Tumour Analysis Using Hybrid Machine Learning Models
… analyzed using Support Vector Machines (SVM), VGG-19, and YOLOv10 models. Metrics including accuracy, precision, recall, F1-score, and ROC-AUC were utilized to evaluate the model's effectiveness. The findings reveal that hybrid models, particularly SVM+VGG-19, excel in tumor classifi cation, …
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Pose Estimation and 3D Bounding Box Prediction for Autonomous Vehicles Through Lidar and Monocular Camera Sensor Fusion
… ResNet-101 and compares its performance with VGG-19 for 3D object detection in autonomous vehicles. ResNet-101 is a deep Convolutional Neural Network with 101 layers and VGG-19 is a one with 19 layers. The research emphasizes the fusion of camera and lidar outputs to enhance the accuracy of 3D …
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DeepMVS: learning multi-view stereopsis
… feature activations from the pre-trained VGG-19 network. We validate the efficacy of DeepMVS using the ETH3D Benchmark. Our results show that DeepMVS compares favorably against state-of-the-art conventional MVS algorithms and other ConvNet based methods, particularly for near-textureless …
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Energy-aware DNN Quantization for Processing-In-Memory Architecture
… the effectiveness of EGQ on several DNN models VGG-19, ResNet-18, ResNet-50, MobileNet-V2, and SqueezeNet. Also, the area, dynamic energy, and energy efficiency in the compressed models with various memory technologies are analyzed. EGQ shows 15%-103% higher energy efficiency with 2% accuracy …
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Towards Refinement for Measuring Subcutaneously Transplanted Tumour Models in Mice
… successful. Three convolutional neural networks, VGG-Face, VGG-19 and VGG-16 models were evaluated, with VGG-Face producing the best results. Using the layer FC7 before RELU activation for extraction in the VGC-Face model, a tumour recognition rate of 98.86% was achieved. This was increased to …
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Towards Refinement for Measuring Subcutaneously Transplanted Tumour Models in Mice
… successful. Three convolutional neural networks, VGG-Face, VGG-19 and VGG-16 models were evaluated, with VGG-Face producing the best results. Using the layer FC7 before RELU activation for extraction in the VGC-Face model, a tumour recognition rate of 98.86% was achieved. This was increased to …
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Statistical Methods for Performance Evaluation of Machine Learning and Artificial Intelligence Models
… dataset—and real EL image datasets, utilizing VGG-19 and ResNet-50 architectures. To ensure reliability, the analysis is repeated 50 times on the simulated dataset and 30 times on the EL image dataset. The third project examines how well AI tools—specifically LLMs like ChatGPT and Llama—can …
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Local Binary Pattern based algorithms for the discrimination and detection of crops and weeds with similar morphologies
… crops and weeds. Various DCNN models, namely VGG-16, VGG-19, ResNet50 and InceptionV3, are optimised, by fine-tuning their hyper-parameters, and tested. Based on the experimental results on the “bccr-segset” dataset collected from the laboratory and the “fieldtrip_can_weeds” dataset collected …