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 15 of 15 for “"ResNet-50"”.
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A Study on Deepsea Fish Detection Using Convolutional Neural Networks
… using the DeepFish dataset. A pretrained ResNet-50 model attained a validation accuracy of 82.8% for multi-class habitat classification, demonstrating robust performance in most habitats based on 6,517 images, although exhibiting lower recall for visually similar or underrepresented …
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Lietuvių kalbos teksto atpažinimas /
… convolutional recurrent neural network and ResNet-50. Convolutional recurrent neural network model is adapted to recognize Lithuanian words with the help of a dictionary, and the ResNet-50 model is compared with the fine-tuned version. A photo dataset of Lithuanian alphabet was created to …
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Design and Integration of Machine Learning-Based Vision System for Automated Power Line Inspection Using a Mobile Damping Robot
… Convolutional Neural Network and a ResNet-50 transfer learning model, were trained for multi-class classification. Experimental results validate the effectiveness of the ResNet-50 model, demonstrating the potential of vision-based inspection for enabling proactive, data-driven, and …
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Doenças hereditárias da retina: aumento de dados, utilizando métodos generativos, para melhorar a deteção
… modelos do estado da arte (VGG19, Inception-V3 e ResNet-50) utilizando validação cruzada (5-fold). O modelo ResNet-50 apresentou o melhor desempenho, com acurácia de 56% e F1-score de 0,54, revelando boa capacidade discriminatória em classes com maior representatividade. Numa segunda fase, foi …
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Deep Learning-Based Visual Localisation and Navigation for the Voyager Mobile Robotic Platform
… neural network (CNN), specifically a fine-tuned ResNet-50 model, is trained for visual place recognition using images captured from the robot’s environment. The model extracts discriminative feature embeddings which are stored in a FAISS index alongside corresponding position and orientation data …
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Klasifikace nádorových buněk pomocí hlubokého učení
… procesov. Dataset pozostáva z viac ako 750 snímkov, ktorých akvizícia prebiehala s využitím metódy optickej difrakčnej tomografie. Táto mikroskopická metóda umožnila neinvazívne snímanie buniek v natívnom stave. V práci bola implementovaná konvolučná neurónová sieť ResNet-50, spolu s …
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Energy-aware DNN Quantization for Processing-In-Memory Architecture
… 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 loss than …
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Sistema de apoyo al triaje clínico en radiografías de tórax mediante Deep Learning, con explicabilidad y estimación de incertidumbre.
… y una red neuronal convolucional basada en ResNet-50, empleando técnicas de transfer learning y fine-tuning sobre radiografías en proyección posteroanterior (PA). Además del análisis de clasificación, el trabajo incorpora técnicas de explicabilidad mediante Grad-CAM y métodos de calibración …
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Parkinson's Disease Automated Hand Tremor Analysis from Spiral Images
… the results using extracted features from the ResNet-50 and VGG16 pre-trained deep network models. The VGG16 extracted features achieve 95.4% accuracy classifying images drawn by people with Parkinson’s Disease. The extracted features of both methods were also used to develop a tremor severity …
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Classification of soil surface texture using high-resolution RGB images captured under uncontrolled field conditions
… also compare this model with Residual Network (ResNet 50), EfficientNetB7 and Inception v3. EfficientCNN architecture uses just 5.9 million parameters and produces an accuracy of 84.783%, while Inception v3 uses 21.7 million parameters and produces an accuracy of 85.621%. EfficientCNN produces …
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Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks
… linearised neural network inference with {ResNet-50} (25M parameters) trained on Imagenet (1.2M observations and 1000 output dimensions). To the best of our knowledge, this is the first time Bayesian inference has been performed in this real-world-scaled setting without assuming some degree …
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Slimmable neural networks for edge devices
… of MobileNet v1, MobileNet v2, ShuffleNet and ResNet-50 at different widths. We also demonstrate better performance of slimmable models compared with individual ones across a wide range of applications including COCO bounding-box object detection, instance segmentation and person keypoint …
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Statistical Methods for Performance Evaluation of Machine Learning and Artificial Intelligence Models
… 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 generate SAS …
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ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security
… shape similarity alone to 99.00% with the ResNet-50-V2 architecture. MobiDeep is a real-time, cloudless, lightweight mobile application for human visual DeepFake detection using ML technologies, which achieved high accuracy (98.7%) and rapid detection speed in detecting sophisticated …
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Person of interest rapid identification and tracking (POIRIT) assistance system
… learning models like AlexNet, GoogLeNet, ResNet, and VGG-Face, ultimately determining the most effective model for each classification layer. For gender classification, VGG Face exhibits the best performance with an accuracy of 98.41%, which is 1% more than the best performer in 2021. …