Search Results - (( semantics segmentation using algorithm ) OR ( java implementation based algorithm ))
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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. …”
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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. …”
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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. …”
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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. …”
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An Optimized Semantic Segmentation Framework for Human Skin Detection
Published 2024“…The study incorporating optimization strategy in semantic segmentation is underexplored in dermatology. …”
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Malaria parasites segmentation in red blood cells images using mean-shift and median-cut
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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. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…Today, with online marketing, banking, healthcare and other services, even the average householder is aware of encryption. The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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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. …”
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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. …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…The main challenges of implementing ANPR algorithm on mobile phone are how to produce a higher coding efficiency, lower computational complexity, and higher scalability. …”
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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. …”
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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. …”
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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. …”
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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. …”
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Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework
Published 2004“…A design proposal was outlined to provide an adaptive client/server approach to stream audio contents using Real-Time Transport Protocol (RTP) involving architecture based on the Java Media Framework (JMF) Application Programmable Interfaces (API).RTP protocol is the Internet-standard protocol for the transport of real-time data, including audio and video and can be implemented by using Java Media Framework (JMF). …”
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Café Web Based System Using Priority Scheduling Approach
Published 2017“…The priority scheduling algorithm is based on Control Processing Unit scheduling algorithm where it has a priority to execute tasks. …”
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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. …”
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