Browsing Electronic Theses and Dissertations by Author "Rahnamayan, Shahryar"
Now showing items 1-20 of 20
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Comprehensive Investigation on Content-based Medical Image Retrieval using Radon Barcodes
Rizvi, Syed Raazi (2019-12-01)Content Based Medical Image Retrieval (CBMIR) systems are vital to the underlying operation of medical databases because they allow quick search and retrieval of medical images. Radon Barcode (RBC)s are binary complementary ... -
Enhancing meta-heuristic algorithms using center-based sampling at population level
Khosrowshahli, Rasa (2023-11-01)In recent years, center-based sampling has demonstrated impressive results to enhance the efficiency and effectiveness of meta-heuristic algorithms. The strategy of center-based sampling can be utilized at either the ... -
Enhancing parallel coordinates and RadVis visualizations using single-and multi-objective optimization
Aldwib, Khiria (2021-04-01)Data visualization is crucial to discover hidden patterns and relationships in high dimensional datasets; visualization is an essential branch in data analytics applied in science and engineering fields. This thesis has ... -
Evolutionary multi-objective design of autoencoder for compact representation of histopathology images
Zaman Farsa, Davood (2021-08-01)Deep learning can cope with complex tasks; however, it suffers from the crucial problem of high dimensionality which makes it intractable to learn the patterns and classify the data. Importantly, having a fixed model cannot ... -
Improving binary optimization algorithms using genuine uniform initialization
Ebrahimi, Sevda (2023-12-01)Population-based metaheuristic algorithms play a crucial role in solving complex optimization problems. The effectiveness of these algorithms is significantly influenced by the initial population of candidate solutions. ... -
Investigation of KimiaNet's and DenseNet's deep features in lung cancer subtypes
Dehkharghanian, Taher (2020-12-01)Deep neural networks (DNN) have extended applications in the _eld of digital pathology. One of which is to act as feature extractors for content-based image retrieval (CBIR) systems. Therefore, it is necessary to investigate ... -
Leadership based multi-objective optimization with applications in energy systems.
Bourennani, Farid (2013-12-01)Multi-objective optimization metaheuristics (MOMs) are powerful methods for solving complex optimization problems but can require a large number of function evaluations to find optimal solutions. Thus, an efficient ... -
Learning image enhancement and object localization using evolutionary algorithms
Shahbazpanahi, Shaho (2014-03-01)Imaging and image processing have been used in variety of applications, such as medical, astronomy, forensic, and industry. Numerous techniques have been proposed to solve speci c problems faced in particular applications ... -
Micro-differential evolution: diversity enhancement and comparative study.
Salehinejad, Hojjat (2014-08-01)Evolutionary algorithms (EAs), such as the differential evolution (DE) algorithm, suffer from high computational time due to large population size and nature of evaluation, to mention two major reasons. The micro-EAs employ ... -
Modeling and multi-objective optimization of a photovoltaic-thermal based multigeneration system
Rabbani, Hassan (2015-01-01)In this thesis, a novel multi generation integrated system is introduced, analyzed and optimized. It consists of GaAs based PV (Photo-Voltaic) arrays connected in series. Light is being concentrated on those arrays using ... -
Novel opposition-based sampling methods for efficiently solving challenging optimization problems
Esmailzadeh, Ali (2011-04-01)In solving noise-free and noisy optimization problems, candidate initialization and sampling play a key role, but are not deeply investigated. It is of interest to know if the entire search space has the same quality for ... -
Optimal farm design with parabolic shape photovoltaic panels using multi-objective optimization
Alfughi, Zakiya (2015-04-01)To acquire the maximum efficiency for solar electricity conversion, a solar panel has to absorb nearly every single photon of light emitted from the sun. The shape of the solar panel itself plays an important role in ... -
Predicting Bitcoin: a robust model for predicting Bitcoin price directions based on network influencers
Gillett, Jonathan (2016-10-01)The ability to predict financial markets has tremendous potential to limit exposure to risk and provide better assurances of annualized gains. In this thesis, a model for predicting the future daily price of Bitcoin is ... -
Proposing an ensemble-based model using data clustering and machine learning algorithms for effective predictions
Azimlu Shanajani, Fateme (2019-08-01)One of the most important tasks in machine learning is prediction. Data scientists use various regression methods to find the most appropriate and accurate model applicable for each type of datasets. This study proposes a ... -
Segregation similarity loss in morphological ranking of image search in histopathology
Mazaheri, Pooria (2022-04-01)Histopathology is the study of changes in tissue caused by diseases such as cancer. It plays an important role to diagnose the cancers. Regarding the large variation of many cancers types, and the large size of Whole Slide ... -
Tissue segmentation using medical image processing chain optimization
Mohamad, Zaid (2016-08-01)Surveyed literature shows many segmentation algorithms using different types of optimization methods. These methods were used to minimize or maximize objective functions of entropy, similarity, clustering, contour, or ... -
Toward enhancement of evolutionary multi- and many-objective optimization: algorithms, performance metrics, and visualization techniques
Ibrahim, Amin (2017-12-01)In the last three decades, the focus of multi-criteria optimization has been solving problems containing two or three objectives. However, real-world problems generally involve multiple stakeholders and functionalities ... -
Toward enhancing metaheuristic optimization algorithms using center-based sampling strategies for solving single- and multi- objective large-scale problems
Hiba, Hanan (2020-12-01)Over the last decade, metaheuristic algorithms have become well-established approaches utilized for solving complex real-world optimization problems. Most metaheuristic algorithms have used stochastic strategies in their ... -
Unsupervised brand name extraction using domain adaptation
Towhidi, Afsaneh (2019-08-01)Business intelligence and analytics is an area of research that analyzes the existing business data to extract the insights needed for a successful business planning. Textual data derived from tweets, forum posts, and blogs ... -
User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation
Darvish, Arman (2011-12-01)Applications of imaging and image processing become a part of our daily life and find their crucial way in real-world areas. Accordingly, the corresponding techniques get more and more complicated. Many tasks are ...