Search Results - (( developing spatial detection algorithm ) OR ( java implication force algorithm ))
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1
Development of mesoscopic imaging system for surface inspection / Moe Win
Published 2018“…The results obtained are compared with those obtained from optical microscopy to verify the accuracy of detection. For the automatic inspection, defect detection algorithms based on image thresholding are developed and implemented as a statistical approach to identify possible defects. …”
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2
Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT
Published 2023“…Results demonstrate that both OSEM and HYPER DPR reconstruction algorithms in digital PET-CT has greater spatial resolution, increased detection sensitivity and less image noise when compared to analog PET-CT. …”
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3
Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…Specifically, the objectives of this thesis are (i) to develop an image registration technique based on multigraph matching, (ii) to detect occluded objects through exploration of candidate object correspondences in longer frame sequences, and (iii) to develop a robust graph coloring algorithm for multiple moving object detection under different transformations. …”
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4
Develop algorithm for change detection of the salinity from Landsat-8 images
Published 2016“…The aims of this study to develop mathematical algorithms for the salinity change detection from Landsat-8 images. …”
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5
Building detection using object-based Image analysis (OBIA) and machine learning (ML) algorithms / Hanani Mohd Shahar
Published 2020“…The information of building features especially in the urban area is very important to support urban management and development. Nevertheless, the automated and transferable detection of building features is still challenging because of variations of the spatial and spectral characteristics to support urban building classification using remote sensing techniques. …”
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6
Real-time interactive spatial augmented reality (RISAR) platform
Published 2022“…The design and development of RISAR platform included three phases namely, (i) object detection, (ii) marker tracking and (iii) dynamic projection mapping. …”
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7
Predicting saliency existence using reduced salient features based on compactness and boundary cues
Published 2020“…The validation of the developed model was tested on the current salient object detection model to observe the performance implication detecting the salient object. …”
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8
Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid
Published 2020“…However, the most difficulties are to develop a method to detect, extract and count trees automatically from the image. …”
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9
Blotch removal using multi-level scanning, shape analysis, and meta heuristic techniques
Published 2015“…Interpolation was organized based on just spatial information, and also spatial and temporal information. …”
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10
The enhancement of mammographic images of breast cancer using median filtering (software development ) / Noor Saedah Selamat
Published 1996“…In this project, the development of median filtering algorithm were used to improve the quality of mammography images, hence this image can be used to determined and to detect any abnormalities in the image. …”
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11
The reliability of halal product transportation using GPS tracking system
Published 2016“…Apart from providing spatial information about the delivery session and the route taken, the system also can detect the possibility of cross contamination by monitoring in real time the stopping of vehicles using a ray casting algorithm applied to the geofence technique used in the system. …”
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The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment
Published 2007“…With the rapid growth of satellite technology and the increasing of spatial resolution, hyperspectral imaging sensor is frequently used for research and development as well as in some semi-operational scenarios. …”
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13
Investigation of block matching algorithm for video coding
Published 2013“…The temporal model deals with motion estimation (ME) and motion compensation (MC) algorithm with the matching technique called “Block Matching Algorithm” (BMA) to produce the next encoded video frame with motion vector. …”
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14
CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case
Published 2022“…As attackers continue to develop new types of attacks and the size of networks continues to grow, the need for an effective intrusion detection system has become critical. …”
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Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis
Published 2021“…In the field of human-computer interaction, the detection, extraction and classification of the electroencephalogram (EEG) spectral and spatial features are crucial towards developing a practical and robust non-invasive EEG-based brain-computer interface. …”
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16
Region-growing based segmentation and bag of features classification for breast ultrasound images
Published 2017“…In the next stage, which is the segmentation stage, region growing algorithm is used to automatically detect tumors in ultrasound images. …”
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17
The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
Published 2025“…This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
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The application of Hyperspectral Remote Sensing Imagery (HRSI) for weed detection analysis in rice fields: a review
Published 2022“…Hence, this paper will review the weeds problem in rice fields in Malaysia and focus on the application of hyperspectral remote sensing imagery (HRSI) for weed detection with algorithms and modelling employed for weeds discrimination analysis.…”
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19
3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm
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20
Integration of object-based image analysis and data mining techniques for detailes urban mapping using remote sensing
Published 2015“…Urban areas consist of a wide range of man-made and natural features, which lead to a high level of spectral and spatial confusions in detecting roofing materials and other urban land cover features. …”
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