• How Software Transparency Can Mitigate Conflicts Among Different Stakeholders in the Animal Experimentation Domain 

  Chen, Ren-Luen (2020-08-11)

  The arguments of whether animals should be used in the experiments have existed for decades. Stakeholders such as animal advocates, scientists, and mediators have been calling for more transparency to tackle the conflicts. ...

• Machine Learning Approach to Predict Treatment Outcome Using Shockwave Lithotripsy in Management of Urinary Stone 

  Moghisi, Reihaneh (2020-08-11)

  In Ontario, shock wave lithotripsy (SWL) is a regionalized resource and St. Michaels Hospital is one of only three centers in the province offering this service. As such, many of the patients travel a great distance to ...

• Comparing Representations of Contribution Labels in Goal Models 

  Tambosi, Wisal Yousef S. (2020-05-11)

  Goal models have been proposed to be an effective method to support decision making in early requirements engineering. Key to using them is the concept of contribution links that represent how the satisfaction of one goal ...

• A Hybrid Approach for Large-Scale Product Categorization Based on Weighted KNN and LSTM-BPV 

  Hu, Haohao (2019-12-04)

  In modern e-commerce systems, large volumes of new items are being added to the product list everyday, which calls for automatic product categorization. In this thesis we propose a weighted K-Nearest Neighbour (KNN) based ...

• The Influence of Demographic Factors on the Cybersecurity Awareness Level of Individuals in an Academic Environment 

  Vazquez, Juan Carlos Barrera (2019-11-22)

  Nowadays the notion of cybersecurity has claimed center stage in the daily life of individuals and organizations. Losses incurred to cyber-attacks are the result of faulty human interactions with new information and ...

• An Adaptive Architecture for Internet of Things Applications 

  Ramprasad, Brian Annil (2019-03-05)

  The number of IoT devices has been growing exponentially as new products are being developed and legacy systems are becoming Internet enabled. As a consequence of this trend, the large amounts of traffic generated by IoT ...

• A Hierarchical Rule-Based Security Management System for Date-Intensive Applications 

  Rouf, Yar Akhter (2018-11-21)

  Applications in today's software development environment evolve at a rapid rate, constantly providing their users with new functionalities. As a result, it becomes increasingly complex to understand the entire application. ...

• Advancement of Data-Driven Short-Term Flood Predictions on an Urbanized Watershed Using Preprocessing Techniques 

  Zistler, Marina (2018-11-21)

  Supervised classification can be applied for short-term predictions of hydrological events in cases where the label of the event rather than its magnitude is crucial, as in the case of early flood warning systems. To be ...

• Measuring Short Text Semantic Similarity with Deep Learning Models 

  Ge, Jun (2018-11-21)

  Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken, which is a subfield of artificial intelligence (AI). The development of NLP applications is challenging ...

• Exploring and Evaluating the Scalability and Efficiency of Apache Spark using Educational Datasets 

  Zhang, Jian (2018-08-27)

  Research into the combination of data mining and machine learning technology with web-based education systems (known as education data mining, or EDM) is becoming imperative in order to enhance the quality of education by ...

• Automatic Image Recognition of Rapid Malaria Emergency Diagnosis: A Deep Neural Network Approach 

  Liang, Zhaohui (2018-03-01)

  Deep learning is the state-of-the-art artificial intelligence (AI) method for visual pattern detection and automated diagnosis. This paper describes the application of convolutional neural network (CNN), the deep learning ...

• Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems 

  Xiong, Chenrui (2018-03-01)

  The Collaborative Filtering recommendation systems have been developed to address the information overload problem and personalize the content to the users for business and organizations. However, the Collaborative Filtering ...

• Rewarding the Location of Terms in Sentences to Enhance Probabilistic Information Retrieval 

  Liu, Baiyan (2017-07-27)

  In most traditional retrieval models, the weight (or probability) of a query term is estimated based on its own distribution or statistics. Intuitively, however, the nouns are more important in information retrieval and ...

• Towards an Ontology-Based Approach for Reusing Non-Functional Requirements Knowledge 

  Veleda, Rodrigo Da Rocha Vaughan (2017-07-27)

  Requirements Engineering play a crucial role during the software development process. Many works have pointed out that Non-Functional Requirements (NFR) are currently more important than Functional Requirements. NFRs can ...

• Improvement in Probabilistic Information Retrieval Model: Rewarding Terms with High Relative Term Frequency 

  Zhu, Runjie (2016-11-25)

  In this thesis, I propose the relative term frequency to be integrated into traditional probabilistic models, in other words, I introduce a set of three influence functions with the application of relative term frequency ...

• Toward Autonomic Data-Oriented Scalability in Cloud Computing Environments 

  Zareian, Saeed (2016-09-20)

  The applications deployed in modern data centers are highly diverse in terms of architecture and performance needs. It is a challenge to provide consistent services to all applications in a shared environment. This thesis ...

• An Initial Analysis on the Impact of Software Transparency and Privacy on a Healthcare Environment 

  Zinovatna, Olena (2016-09-20)

  Transparency and privacy are two fundamental parts of any democratic society. Although both transparency and privacy are essential in todays environment they are often conflicting. Allowing more transparency is likely to ...

• Integrating Classification With K-Means to Detect E-Commerce Transaction Anomaly 

  Tan, Xing (2016-09-20)

  Effective data mining solutions have been anticipated in Electronic Commerce (E-Commerce) transaction anomaly detection model to accurately predict anomaly transaction records. However, there are many sub-optimal E-Commerce ...

• Exploiting semantics for improving clinical information retrieval 

  Babashzadeh, Atanaz (2016-06-23)

  Clinical information retrieval (IR) presents several challenges including terminology mismatch and granularity mismatch. One of the main objectives in clinical IR is to fill the semantic gap among the queries and documents ...

• Efficient Calculation of Optimal Configuration Processes 

  Fernandez, Yasser Gonzalez (2015-12-16)

  Customers are getting increasingly involved in the design of the products and services they choose by specifying their desired characteristics. As a result, configuration systems have become essential technologies to support ...

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