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Authorship attribution in the dark web
Authorship attribution in the dark web
Author(s):
Sennewald
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
This thesis is about authorship attribution (AA) within multiple Dark Web forums and the question of whether AA is possible...
Investigating suspected background processes in Android malware classification through dynamic automated reverse engineering and semi-automated debugging
Investigating suspected background processes in Android malware classification through dynamic automated reverse engineering and semi-automated debugging
Author(s):
Taheri
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
Android malware detection is one of the enthusiastic research domains in recent years. Despite researchers’ admirable...
Semi-supervised Bayesian learning
Semi-supervised Bayesian learning
Author(s):
Guo
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2012
Type:
Thesis / Dissertation
In traditional supervised learning, classifiers are learned from a number of training data examples where each data example...
Investigation of the linear node movement patterns in wireless networks
Investigation of the linear node movement patterns in wireless networks
Author(s):
Alzaylaee
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2012
Type:
Thesis / Dissertation
MANETs are mobile, self-configuring networks of wireless mobile devices without an infrastructure. The operation of a MANET...
High performance Python through workload acceleration with OMR JitBuilder
High performance Python through workload acceleration with OMR JitBuilder
Author(s):
Allen
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
Python remains one of the most popular programming languages in many domains including scientific computing. Its reference...
Investigation of encrypted and obfuscated network traffic utilizing machine learning
Investigation of encrypted and obfuscated network traffic utilizing machine learning
Author(s):
Boldt
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
This thesis utilizes machine learning to investigate the classification of the encryption applied to network traffic and the...
Accelerating main memory query processing for data analytics
Accelerating main memory query processing for data analytics
Author(s):
Memarzia
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
Data analytics provides a way to understand and extract value from an ever-growing volume of data. The runtime of analytical...
Domain generation algorithm (DGA) detection
Domain generation algorithm (DGA) detection
Author(s):
Upadhyay
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
Domain name plays a crucial role today, as it is designed for humans to refer the access point they need and there are...
Efficient and privacy-preserving AdaBoost classification framework for mining healthcare data over outsourced cloud
Efficient and privacy-preserving AdaBoost classification framework for mining healthcare data over outsourced cloud
Author(s):
Davoudi
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
In recent years, the analysis and mining of electronic health records (EHRs) with the aid of machine learning (ML) algorithms...
MicroJIT: a template-based Just-in-Time compiler for constrained environments
MicroJIT: a template-based Just-in-Time compiler for constrained environments
Author(s):
Coffin
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
The widespread adoption of Java Virtual Machine (JVM) runtime environments has increased application portability and security...
Ahead-of-time compilation of WebAssembly using Eclipse OMR
Ahead-of-time compilation of WebAssembly using Eclipse OMR
Author(s):
Jelenkovic
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
The variety of available computing machines limits the portability of programs. The primary hindrance is that programs are...
Understanding the factors that influence user adoption of e-banking services in developing countries (a case study of Nigeria)
Understanding the factors that influence user adoption of e-banking services in developing countries (a case study of Nigeria)
Author(s):
Josiah
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2015
Type:
Thesis / Dissertation
This study examines the factors that influence user adoption of e-banking services in Nigeria. The questions this study hoped...
Tree structured data processing on GPUs
Tree structured data processing on GPUs
Author(s):
Lu
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2014
Type:
Thesis / Dissertation
Tree-structured data are used in many applications. In order to reduce the computing time for processing large tree...
Business Rules Interoperation
Business Rules Interoperation
Author(s):
Albalwi
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2012
Type:
Thesis / Dissertation
The present report describes the approach and two technical solutions for interoperation between business rules represented...
A semi-automated security assessment framework for wearable health monitoring devices
A semi-automated security assessment framework for wearable health monitoring devices
Author(s):
Amel Zendehdel
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
Characteristics of mental representations in novices and experts in Java
Characteristics of mental representations in novices and experts in Java
Author(s):
Parastar
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2021
Type:
Thesis / Dissertation
How programmers mentally represent code is of interest to researchers who study program comprehension and design new...
TelePhysio+
TelePhysio+: exploring changing perspectives of remote physiotherapy
Author(s):
Vidito
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2021
Type:
Thesis / Dissertation
Physiotherapy is traditionally performed in person, allowing physiotherapists to easily guide patients into the positions...
Contextualized embeddings encode knowledge of English verb-noun combination idiomaticity
Contextualized embeddings encode knowledge of English verb-noun combination idiomaticity
Author(s):
Fakharian
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2021
Type:
Thesis / Dissertation
English verb-noun combinations (VNCs) consist of a verb with a noun in its direct object position, and can be used as idioms...
Graph-based IoT malware family classification
Graph-based IoT malware family classification
Author(s):
Mahmoudyar
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2021
Type:
Thesis / Dissertation
Internet of Things malware has become one of the main cyber-threats nowadays. There is no comprehensive study in a feature...
On the evaluation of adversarial vulnerabilities of deep neural networks
On the evaluation of adversarial vulnerabilities of deep neural networks
Author(s):
Foumani
Discipline:
Computer Science
Discipline:
Computer Science
Date:
2020
Type:
Thesis / Dissertation
Adversarial examples are inputs designed by an adversary to fool the machine learning models. Despite having overly...

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