Search Results - ((image classification) OR (data classification)) (problems OR problem )

Development of preliminary classification system for drug related problem in patients receiving radio pharmaceuticals based on PCNE system V9.1 / Nurulfalahin Daud @ Ibrahim by Daud @ Ibrahim, Nurulfalahin

“…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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Color-based of bird species classification using Support Vector Machine / Nur Amalina Nazery by Nazery, Nur Amalina

“…Bird classification is an important task in computer vision problem. …”
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Mixed pixel classification on hyperspectral image using imbalanced learning and hyperparameter tuning methods by Purwadi, Abu, Nur Azman, Mohd, Othman, Kusuma, Bagus Adhi

“…Hyperspectral has a huge phenomenon that makes computations heavy compared to other types of images because this image is 3D. The problem faced in hyperspectral image classification is the high computational load, especially if the spatial resolution of the image also has mixed pixel problems. …”
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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

“…There are two methods in dealing with imbalanced classification problem, which are based on data or algorithmic level. …”
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Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme by Ashour, Mohammed Waleed, Khalid, Fatimah, Al-Obaydee, Mohammed

“…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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Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks by Muhammad Ashraq, Salahuddin

“…For the classification of flower images, the problem is mainly due to the huge similarities in terms of colour and texture. …”
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Comparative analysis of data mining techniques for medical data classification by S. A., Lashari, Ibrahim, Rosziati

“…Medical data classification plays a crucial role in many medical imaging applications by automating or facilitating the delineation of image data.It addresses the problem of diagnosis, analysis and teaching purposes in medicine.For these several medical imaging data modalities and applications based on data mining techniques have been proposed and developed.In this paper, a comparative analysis of applications of data mining techniques has been presented.Thus, the existing literature suggests that we do not lose sight of the current and future potential of applications of data mining techniques that can impact upon the successful classification of medical data into a thematic map.Thus, there is a great potential for the use of data mining techniques for medical data classification, which has not been fully investigated and would be one of the interesting directions for future research.…”
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Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis by Mohd, Othman *, Nanna , Suryanna, Sahib@Sahibuddin, Shahrin, Abdollah, Mohd Faizal, Selamat, Siti Rahayu

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HYBRID SELECTION FRAMEWORK FOR CLASS BALANCING APPROACHES BASED ON INTEGRATED CNN AND DECISION MAKING TECHNIQUES FOR LUNG CANCER DIAGNOSIS by Jassim M.M., Jaber M.M.

“…This study can be applied to any data that suffers from the class imbalance problem to find the best technique that gives the highest classification accuracy � 2022, Authors. …”

Assessment of coconut tree crown detection using remote sensing approach / Nurul Annissa Abdullah by Abdullah, Nurul Annissa

“…The conclusion at chapter 5 is declaring that both SVM and MLC methods are more accurate than RF in the classification of tree crown on different satellite image data. …”
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Classification of microcalcification in mammogram images using Enhanced Support Vector Machine (ESVM) / Muhammad Akmal Firdaus... [et al.] by Firdaus, Muhammad Akmal, Shadan, Siti Madinah, Mohd Faudzai, Nur Syahizah

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Identification of Adolescent Idiopathic Scoliosis using image processing / Aisyah Afifah Mohd Hanip by Mohd Hanip, Aisyah Afifah

“…As for feature extraction, gray level co-occurrence matrix is used. Ensemble classification, a model in which better predictive performance is achieved through the incorporation of the outputs of multiple classification models into a good classification process. …”
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A fuzzy qualitative approach for scene classification by Lim, C.H., Chan, C.S.

“…Scene classification has been studied extensively in the recent past. …”
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Linear mixture modelling applied to ikonos data for mangrove mapping by Kanniah, Kasturi Devi, Ng, Su Wai, Lau, Alvin Meng Shin, Rasib, Abd. Wahid

“…Mixed pixels problem in remotely sensed satellite data often results in poor classification accuracy. …”
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Image feature extraction for colorectal cancer cells classification / Mohd. Yamin Ahmad by Ahmad, Mohd. Yamin

“…By combining result of gland shapes and nucleus size, the image classification is performed. The result shows that classification achieves 96.9% accuracy by using the proposed methods. …”
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Texture-based wound tissue classification using multi-SVM / Muhammad Hazim Jaafar Sidik by Muhammad Hazim Jaafar Sidik

“…There are four phases conducted which are data collection, pre-processing (i.e image segmentation), processing (i.e texture extraction and wound classification) and post processing (i.e test and evaluation). …”
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Improving diabetic retinopathy classification using transfer learning and optimized deep learning models by Dai, Chengxiao

“…The main focus is to address the problem of insufficient labelled image datasets in the medical field through transfer learning, exploring how to use limited labelled data to train high-performance models effectively. …”
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

“…The data is Synthetic Aperture Radar (SAR) image scenes of tanks, and background. …”
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Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

“…NN such as Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) is trained in developing a classification system for agriculture purpose. ANN and KNN is applied to solve the problems in image analysis, pattern recognition and classification. …”
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Personalized face emotion classification using optimized data of three features by Muthukaruppan, Karthigayan, Ramachandran, Nagarajan, Mohd Rizon, Mohamed Juhari, Sazali, Yaacob

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