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.
Results
Showing 1 to 20 of 67 for “"ResNet"”.
-
Pose Estimation and 3D Bounding Box Prediction for Autonomous Vehicles Through Lidar and Monocular Camera Sensor Fusion
… the integration of transfer learning with 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 …
-
Evaluating Modern Neural Network Architectures for Suicide Prediction
… (MLP) and a selection of its successors, ResNet and MLP with a category embedding layer, at the task of predicting suicidal ideation among high-school students. This research finds ResNet to be the most capable at minimizing false negatives, but with a higher amount of false positives. …
-
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 …
-
Deep learning-based fine-tuned multi-vehicle tracking with classification correction
… dataset was created from multiple sources. A ResNet classifier was trained, and its knowledge was utilized to build a localization dataset automatically without manual annotations. The dataset consists of videos generated from the MLK testbed. Three different object detection frameworks (SSD, …
-
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 …
-
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 …
-
Network Requirements for Distributed Machine Learning Training in the Cloud
… I test four popular machine learning models (ResNet, DenseNet, VGG, and BERT) on an Nvidia A-100 cluster to determine the impact of bursty and non-bursty cross traffic (such as web-search traffic and long-lived flows) on the iteration time and throughput of distributed training. By varying the …
-
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 …
-
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 …
-
Compression artifact suppression for color images with dual-domain SE-ARResNet
… ability to tackle vanishing gradient problems of ResNet to build a deep network, and utilize squeeze-and- excitation block, a technique typically found beneficial in classification tasks, to this regression problem to exploit global information in a larger scale. We refer to the module proposed in …
-
Terrain characterization for site selection and preparation
… U-Net, and Segnet) and three base models (VGG, ResNet, and MobileNet) were modified to include multispectral imagery and compared. Seven land cover classes were determined with an accuracy of 82.71% by model ResNet/SegNet. To determine soil moisture content (SMC), ten models were developed to …
-
Mapping Informality: An Approach to Classifying Sidewalk Informal Practices and Elements Through Street View Imagery
… verification and fine-tuning a lightweight ResNet on binary categories (e.g. stationary vs mobile vendors, etc.). Compared to the zero-shot model Qwen-VL-Max, the fine-tuned ResNet delivered more balanced performance (precision/recall: 0.62– 0.78) and better handled nuanced, …
-
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 …
-
Deep Learning for Identifying Breast Cancer
… breast cancer auxiliary diagnosis model based on ResNet. Analyze and process, realize medical aided diagnosis, and provide scientific diagnosis for breast cancer patients.</p>
-
Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis
… geometry. A custom formulated Deep CNN, U-ResNet and other networks are trained to perform 3D multi-mineral segmentation to eliminate user-bias, manual tuning, and algorithmic limitations inherent in traditional methods. U-ResNet performs most accurately and reliably, achieving the highest …
-
Classifying Sidewalk Materials Using Multi-Modal Data
… We investigate two model architectures: the ResNet-Encoder model and the Transformer-Encoder model to understand their efficacy in sidewalk material classification. Experimental results indicate that the ResNet-Encoder model provides superior performance, achieving an optimal accuracy of 83\% …
-
Semantic amodal video segmentation using a synthetic dataset
… results for instance-level segmentation using ResNet-based DeepLab, a state-of-the-art semantic image segmentation model. We also develop a new semantic amodal instance-level video segmentation model based on DeepLab for the aforementioned dataset. Our model for amodal segmentation operates on …
-
Klasifikace nádorových buněk pomocí hlubokého učení
… bola implementovaná konvolučná neurónová sieť ResNet-50, spolu s metódami vizualizácie klasifikačných procesov pomocou lokalizačných máp (Grad-CAM a metóda postupnej oklúzie obrazu). Dve bunkové línie použité v štúdii sieť klasifikuje s presnosťou 98,08%, agresívny fenotyp rezistentný voči …
-
Utilizing Deep Learning Audio Models for Blind and Low Vision Crosswalk Assistance
… and detection (SELD) models, specifically ResNet-based feature extractors and transformer-enhanced architectures such as EINV2. To train these models, a synthetic dataset of quadraphonic audio from simulated 4-way traffic scenes is generated using Unity Engine, addressing both the …
-
Transformation Tolerance and Demographic Robustness of Machine-based Face Recognition Systems
… facial recognition neural network architecture (ResNet-101) trained on an augmented facial identity dataset (Augmented Casia Webface) and perform a thorough comparison between White, Black and East Asian identities. We created a full-color, a grayscale and many hue-shifted datasets and then …
Page 1 of 4