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Found 14 articles for "Department of Computer Science"
Hidden Markov models (HMM) are a fundamental tool in statistical modeling for prediction and recognition tasks. This paper extends the understanding of HMMs by focusing on cases where observations are continuous, such as real numbers or vectors, inst...
In the landscape of contemporary software engineering, the early detection of faults in software systems has become pivotal to ensuring robust and reliable software products. This paper investigates the application of model-based combinatorial testin...
This paper presents a novel method for categorizing footprint images using fuzzy logic, addressing various global security challenges. Biometric footprint authentication is gaining attention due to the unique, permanent, and measurable characteristic...
The advent of big data has driven a significant interest in scalable data processing frameworks, particularly in the domain of computer science. This study compares Apache Spark and MapReduce, two prominent frameworks, analyzing their performance usi...
Big data storage management is a significant challenge in Hadoop cluster environments due to the high degree of data access locality required by data-intensive applications. Traditionally, high-performance computing has relied on dedicated servers fo...
Methods of compressing the data prior to storage and/or transmission are of significant practical and commercial interest. Considerable amount of research has been devoted in the last two decades to tackle the problem of image compression. Image comp...
In this study, we analyze the impact of neuron proportionality across hidden layers on the accuracy of neural network outputs. Our findings suggest that optimal neuron distribution, combined with an appropriate number of hidden layers, can significan...
In the domain of biometric feature analysis, facial recognition serves as a crucial technique applied across various applications, including telemonitoring, access control, and electronic system security. This study introduces a robust hybrid facial ...
The effective use of indexes, particularly clustered indexes, is often overlooked in the normalization and analysis stages of ERP projects. This paper aims to demonstrate the significant advantages of employing clustered indexes through a series of c...
Recently, there is a plethora of information available in various forms, playing an imperative role in enhancing our knowledge base and social life. The presentation of information is as crucial as the information itself, as effective communication a...
Language Identification has gained significant importance in recent years, both in research and commercial marketplaces, demanding an improvement in the ability of machines to distinguish between languages. Although methods like Gaussian Mixture Mode...
This paper presents a method of converting color images of histopathological slides to grayscale as a preprocessing step for image segmentation. The method utilizes the characteristics of these images to minimize information loss during conversion. I...
This study explores the relationship between soft skills, well-being at work, and employability, aiming to contribute to the development of programs that enhance soft skills and support employability in higher education. A survey was conducted using ...
Face recognition offers significant advantages over other biometric systems, such as signatures, iris scanning, and fingerprints, due to its non-intrusive nature. However, variations in illumination, partial occlusions, and differing imaging conditio...