Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 44 for “"automated classification"”.
-
Automated classification of power signals
… by an expert classifier and a series of these classifications can be used to diagnose system failures or improper operation. Current NILM research conducted at Massachusetts Institute of Technology's Laboratory for Electromagnetic and Electronic Systems (LEES) is exploring the application and …
-
Techniques for automated classification of nighttime ionospheric images
… identify the images of interest, discriminative classification models are considered for determining the relationship between measured image features and labels for a sequence of images. To provide features that enable this modeling, the use of texture, difference, object motion, correlation, and …
-
Image Segmentation and Analysis for Automated Classification of Traumatic Pelvic Injuries
… of information, the need for reliable, fast and automated computational methods for decision support systems is stringent. Such methods could process and analyze, in a timely fashion, all available medical data and provide caretakers with recommendations/predictions for both patient diagnostic …
-
AN AUTOMATED CLASSIFICATION OF THE PERIPHERAL BLOOD LEUKOCYTES BY MEANS OF DIGITAL IMAGE PROCESSING.
AN AUTOMATED CLASSIFICATION OF THE PERIPHERAL BLOOD LEUKOCYTES BY MEANS OF DIGITAL IMAGE PROCESSING.
-
Thickness estimation, automated classification and novelty detection in ultrasound images of the plantar fascia tissues
… It is therefore a requirement to devise an automated system that allows better and easier interpretation of PF US images during diagnosis. This study is concerned with developing a computer-based system using a combination of medical image processing techniques whereby different PF US images …
-
The detection and prediction of climate change in Ireland using an automated classification of atmospheric circulation patterns
The primary objective of this thesis is to investigate whether Irish climate is changing, and if so, what are the possible driving forces of this change. Analyses of surface climate records appear to support global trends. Annual temperature records indicate an increase of 0.5°C since the beginning …
-
Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions
… to prevent progression to a more deadly stage. Automated computer-based identification of melanoma from dermoscopic images of skin lesions is the most efficient method in early diagnosis. An automated melanoma identification system must include multiple steps, involving lesion segmentation, …
-
An automated classification system to determine malignant grades of brain tumour (glioma) in magnetic resonance images based on meta-trainable multiple classifier schemes
The accurate classification of malignant grades of brain tumours is crucial for therapeutic planning as it impacts on the tumour’s prognosis, where the higher the malignancy levels of the brain tumour are, the higher the mortality rate is. It is also essential to provide patients with appropriate …
-
Clinical translation of optical coherence tomography for the diagnosis of otitis media: validation and tracking of biofilms on the tympanic membrane and development of a novel automated classification and diagnostic platform
… biofilms on the TM, and finally demonstrates (3) automated classification methods to identify features of OM infection in OCT data. Collectively, these results provide new insight into the pathogenesis and treatment of OM and demonstrate new quantitative tools that are crucial to further …
-
Machine Learning Algorithms for Improved Glaucoma Diagnosis
… techniques based on machine learning for automated classification of tests from visual field examinations and retinal nerve fibre measurements to detect glaucoma. Diagnostic performance of the applied machine learning classification algorithms was shown to depend primarily on the type of …
-
Time-frequency Analysis of Doppler Ultrasound Blood Flow Signals: An Investigation into Automated Diagnosis of Vascular Disease
This study investigated an automated classification and diagnosis process for Doppler ultrasound blood flow signals to support clinical decision making. This process is used in this study to diagnose the severity of vascular disease in the lower limb. The study reviewed the existing methods for …
-
Effects of discrete wavelet compression on automated mammographic shape recognition
… round, nodular and stellate. Presently this classification is done by experienced radiologists. In order to increase the speed and decrease the cost of diagnosis, automated recognition systems are being developed. This study analyses an automated classification procedure and its sensitivity …
-
Shipboard aggregate power monitoring
… current NILM configuration's ability to perform automated classification. Findings will be supported using data collected from NILMs monitoring power flow on board the U.S. Coast Guard Cutter ESCANABA (WMEC-907).
-
Classification of Faults in Railway Ties Using Computer Vision and Machine Learning
This work focuses on automated classification of railway ties based on their condition using aerial imagery. Four approaches are explored and compared to achieve this goal - handcrafted features, HOG features, transfer learning and proposed CNN architecture. Mean test accuracy per class and …
-
Automated mammographic mass shape classification using wavelets and neural networks
… with artificial neural networks for the classification of mammographic mass shapes. A fully automated mammographic classification system has been developed to distinctly classify mass shapes as either round, which typically indicates the absence of breast cancer, or irregular, which …
-
Classification of Stars from Redshifted Stellar Spectra utilizing Machine Learning
The classification of stellar spectra is a fundamental task in stellar astrophysics. There have been many explorations into the automated classification of stellar spectra but few that involve the Sloan Digital Sky Survey (SDSS). Stellar spectra from the SDSS are applied to standard classification …
-
NLP in Engineering Education - Demonstrating the use of Natural Language Processing Techniques for Use in Engineering Education Classrooms and Research
… or administrators could benefit from an automated system which could reveal trends and present broader overviews for given datasets in more time and resource efficient ways. Analyzing datasets using Natural Language Processing is one solution to this problem. The purpose of my doctoral …
-
Suitability of Aster and SRTM dems, and satellite imagery in detailed geomorphological mapping in Dzanani Area of Makhado Local Municipality, Limpopo Province, Republic of South Africa
… reference geomorphological map, show that the automated classification technique has advantages in terms of its efficiency and reproducibility. Nevertheless, distinct limitations of the technique are apparent and the technique is not suitable for detailed geomorphological mapping in the …
-
Compact and Extended Radio Sources Classification using Deep Convolutional Neural Networks
… the FIRST Classifier, an on-line system for automated classification of Compact and Extended radio sources. We developed the FIRST Classifier based on a trained Deep Convolutional Neural Network Model to automate the morphological classification of compact and extended radio sources observed …
-
Image and video analysis techniques for cellular microscopy
… OF MISSOURI AT AUTHOR'S REQUEST.] Advances in automated digital microscopy imaging made it possible to produce multi-dimensional image data that can capture dynamic characteristics of sub-cellular and cellular structures. Biologists routinely produce large volumes of bioimage time lapse data …
Page 1 of 3