Search Results - ((based classification) OR (image classification)) (problems OR problem )
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Multiclass classification for chest x-ray images based on lesion location in lung zones
Published 2015“…Therefore, it is difficult to classify CXR images which contain many image features.Realizing the problem, we proposed an application method for multiclass classification with SVM to the CXR images based on the lesion position in the lung zones.The multiclass classification application is executed on the CXR images taken from Japan Society of Radiology Technology dataset.Lesion coordinates were selected as the classification input while the lung zones becomes the labels. …”
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Development of preliminary classification system for drug related problem in patients receiving radio pharmaceuticals based on PCNE system V9.1 / Nurulfalahin Daud @ Ibrahim
Published 2022“…However, the data on DRP in this group of patients are still limited. A classification system for drug related problem is necessary to allow the identification and documentation of drug related problem in a systematic way. …”
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Ambient-Aware Food Recognition and Management in Context of Smart Fridge
Published 2020“…Image classification can be done using several classification techniques such as Faster-RCNN, YOLO and SSD. …”
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Final Year Project / Dissertation / Thesis -
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GRA_Net: a deep learning model for classification of age and gender from facial images
Published 2021“…Gender identification is a binary classification problem whereas prediction of age is a regression problem. …”
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Color-based of bird species classification using Support Vector Machine / Nur Amalina Nazery
Published 2017“…Therefore, this project proposed a prototype of bird species classification based on color features from bird images. …”
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Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme
Published 2013“…Some of the main problems of image classification are the poor features that does not precisely represent an image, and the large dimensionality of data input passed to classifiers. …”
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Adaptive skin color classification technique for color-based face detection systems using integral image
Published 2011“…In particular, the colour-based segmentation is a significant step in any colour-based face detection approach which uses skin-colour models to classify an image into skin and non-skin regions. …”
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A hierarchical classifier for multiclass prostate histopathology image gleason grading
Published 2018“…Automated classification of prostate histopathology images includes the identification of multiple classes, such as benign and cancerous (grades 3 & 4).To address the multiclass classification problem in prostate histopathology images, breakdown approaches are utilized, such as one-versus-one (OVO) and one- versus-all (Ovall). …”
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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…Data level based methods are meant to solve the imbalanced classification problem based on the idea of making both classes equal in number. …”
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RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Published 2024journal::journal article -
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Robust Pornography Classification Solving the Image Size Variation Problem Based on Multi-Agent Learning
Published 2015“…The classification of pornographic images was made more robust to the variation of images despite size engineering problems. …”
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Decision tree as knowledge management tool in image classification
Published 2008“…Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features.…”
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Classification model for water quality using machine learning techniques
Published 2015“…This article proposes a suitable classification model for classifying water quality based on the machine learning algorithms. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul‘Aini Hambali
Published 2016“…Image segmentation and object classification processes are gaining importance in image processing applications such as in agricultural area. …”
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Book Section -
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Texture classification and discrimination for region-based image retrieval
Published 2015“…Experiments on texture classification task with ImageCLEF and Outex databases demonstrate the effectiveness of the proposed approach.…”
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Texture classification and discrimination for region-based image retrieval
Published 2015“…Experiments on texture classification task with ImageCLEF and Outex databases demonstrate the effectiveness of the proposed approach.…”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali
Published 2015“…Image segmentation and object classification processes are gaining importance in image processing applications such as in agricultural area. …”
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