Search Results - (( semantics segmentation using algorithm ) OR ( java application optimization algorithm ))
Search alternatives:
- application optimization »
- semantics segmentation »
- java application »
- using algorithm »
-
1
Segmentation of pulmonary cavity in lung CT scan for tuberculosis disease
Published 2024“…Then, based on this threshold, the lesion tissue within the bounding box is extracted and forms a mask that can be used for semantic segmentation tasks. Finally, we use the generated TB semantic segmentation mask to train Unet and Vnet models to verify the effectiveness of the algorithm. …”
Get full text
Get full text
Get full text
Article -
2
A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging
Published 2021“…Second, the datasets taken for the semantic segmentation task are not balanced since certain classes are present more than the others. …”
Get full text
Get full text
Article -
3
Hybrid Region Merging For Image Segmentation Using Optimal Global Feature With Global Merging Criterion Approach
Published 2020“…Region merging approach is used to reduce over segmented regions produced by region-based image segmentation algorithms. …”
Get full text
Get full text
Thesis -
4
2TSS: Two-tier semantic segmentation framework with enhancement for hotspot detection of solar photovoltaic thermal images
Published 2025“…However, the semantic segmentation approach has limitations in terms of accuracy, particularly for hotspot thermal images. …”
Get full text
Get full text
Get full text
Article -
5
An Optimized Semantic Segmentation Framework for Human Skin Detection
Published 2024“…The study incorporating optimization strategy in semantic segmentation is underexplored in dermatology. …”
Get full text
Get full text
Get full text
Article -
6
Malaria parasites segmentation in red blood cells images using mean-shift and median-cut
Published 2010Get full text
Get full text
Book Section -
7
Modelling semantic context for novelty detection in wildlife scenes
Published 2010“…Working with wildlife image data, the framework starts with image segmentation, followed by feature extraction and classification of the image blocks extracted from image segments. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
8
-
9
A novel deep learning instance segmentation model for automated marine oil spill detection
Published 2020“…So far, detection and discrimination of oil spill and look-alike are still limited to the use of traditional machine learning algorithms and semantic segmentation deep learning models with limited accuracy. …”
Get full text
Get full text
Article -
10
A novel deep learning instance segmentation model for automated marine oil spill detection
Published 2020“…So far, detection and discrimination of oil spill and look-alike are still limited to the use of traditional machine learning algorithms and semantic segmentation deep learning models with limited accuracy. …”
Get full text
Get full text
Article -
11
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The method employs Semantic Tags Extraction (STSE) algorithm to extract semantic tags of an element and Element Enrichment (EERM) algorithm to enrich the elements. …”
Get full text
Get full text
Get full text
Thesis -
12
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013Get full text
Get full text
Conference or Workshop Item -
13
Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel
Published 2022“…The low-level feature data are extracted by the feature extraction module using Mask Region Convolutional Neural Network (RCNN) segmentation branches and Inception V3 used to extract the high-level semantic data. …”
Get full text
Get full text
Article -
14
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
Get full text
Get full text
Conference or Workshop Item -
15
Deep learning semantic segmentation for water level estimation using surveillance camera
Published 2021“…This work presented two well-established deep learning algorithms, DeepLabv3+ and SegNet networks, and evaluated their performances using several evaluation metrics. …”
Get full text
Get full text
Get full text
Article -
16
Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging
Published 2022“…The visualization and classification of the area of interest in any picture is therefore an important function in order to segment the image. We examine a variety of image segmentation algorithms and give our reinforcement learning algorithm that uses Deep Convolutional Neural Networks for the detection of irregular objects, which has been tested on four datasets. …”
Get full text
Get full text
Article -
17
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
Get full text
Get full text
Final Year Project -
18
Word segmentation of output response for sign language devices
Published 2020“…The proposed text segmentation method in this work is by using the dynamic programming and back-off algorithm, together with the probability score using word matching with an English language text corpus. …”
Get full text
Get full text
Get full text
Get full text
Article -
19
Automated visual defect detection using deep learning
Published 2022Get full text
Get full text
Final Year Project / Dissertation / Thesis -
20
