• Security of Short-Range Wireless Technologies and an Authentication Protocol for IoT 

  Lounis, Karim

  The number of wireless IoT (Internet of Thing) infrastructures is considerably growing as thousands of new devices are being connected everyday. This has allowed the emergence of various smart applications that have changed ...

• Caching in VANETs for Social Networking 

  Abdelhamid Elsayed, Sara

  Social media traffic constitutes the highest percentage of Internet traffic. This social media traffic is largely facilitated by mobile devices, which imposes a huge traffic load on backhaul links in 5G networks, and can ...

• NLQ INTO SQL TRANSLATION USING COMPUTATIONAL LINGUISTICS 

  Kedwan, Ftoon

  This research discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement. SQL is used as a Relational DataBase (RDB) interaction language with ...

• The theory of and practical consideration for ultrasound guided interventions: from phantom data to clinical studies 

  Gerolami, Justin

  Cancer is one of the leading causes of death in Canada. Research in early detection is essential for improving survival rates. The current standards for diagnosis include physical examinations, chemical tests, and biopsy. ...

• Modelling Stock Market Manipulation in Online Forums 

  Nam, David

  Over the past several decades, advances in technology have significantly impacted all aspects of the financial system. While it has led to numerous benefits, it has also increased the methods for manipulating the market. ...

• INTELLIGENT FRAMEWORK FOR MONITORING CROPS IN GREENHOUSES 

  Ali, Asmaa

  Wireless Sensor Networks (WSNs) and Wireless Visual Sensor Networks (WVSNs) are two monitoring technologies that have the potential for use in many application domains, and both are poised for growth in many markets from ...

• STUDYING THE USE OF EXTRINSIC INCENTIVES TO SUPPORT CROWDSOURCED SOFTWARE ENGINEERING ACTIVITIES 

  Zhou, Jiayuan

  Extrinsic incentives help attract participants to Crowdsourced Software Engineering (SE) activities (e.g., open source development and Stack Overflow contributions). There are two types of extrinsic incentives: 1) monetary ...

• UNDERSTANDING THE IMPACT OF EXPERIMENTAL DESIGN CHOICES ON MACHINE LEARNING CLASSIFIERS IN SOFTWARE ANALYTICS 

  Rajbahadur, Gopi

  Software analytics is the process of systematically analyzing software engineering related data to generate actionable insights that help software practitioners make data-driven decisions. Machine learning classifiers lie ...

• A Bootstrapped Approach for Abusive Intent Detection in Social Media Content 

  Simons, Benjemin

  The proliferation of Internet connected devices continues to result in the creation of massive collections of human generated content from websites such as social media. Unfortunately, some of these sites are used by ...

• On the Maintenance of Crowdsourced Knowledge on Stack Overflow 

  Zhang, Haoxiang

  The enormous quantity of software artifacts (e.g., code, documentations, and online discussions) created by developers are in great need for maintenance. Among software artifacts built by developers, Stack Overflow, a ...

• Towards Reliability Evaluation and Integration in Cloud Resource Management 

  Alam, A B M Bodrul

  The adoption of cloud computing technology is increasing day by day due to its enormous services and low cost. Customers transfer their businesses to cloud because of the beneficial cloud features such as scalability, high ...

• Studying Dependency Maintenance Practices Through the Mining of Data from npm Packages 

  Cogo, Filipe

  Open source software ecosystems have gained significant importance in the last decade. In a software ecosystem, client packages can enable a dependency to reuse the functionalities of a provider package. On the one hand, ...

• Entry-based Planning of Neurosurgical Trajectories 

  Beaulieu, Katherine

  Purpose In cases of brain trauma or hydrocephalus an external ventricular drain (EVD) is often inserted through the skull and brain to drain excess cerebrospinal fluid from the ventricles to relieve pressure. Most often, ...

• Composition of Transformations in Feature-Based Registration 

  Peoples, Jacob

  Accurate registration of medical images is crucial to the successful deployment of computer assisted interventions or surgical navigation systems. Nonrigid registration techniques are important when considering soft tissues ...

• Machine Learning QoE Prediction for Video Streaming over HTTP 

  Riad, Mary

  Streaming video services have been growing rapidly in the past decade due to the wide adoption of more capable mobile devices such as smartphones and tablets, together with the deployment of higher capacity mobile networks ...

• An Analysis of Motion Smoothness in Video Object Detection 

  Gasmallah, Mohammed

  Machine learning in computer vision has become an invaluable aspect of research on object detection and object tracking. While advancements in current research aim to improve the matching of predictions with ground truth ...

• Lightweight Authenticated Encryption for Vehicle Controller Area Network 

  Hridoy, Syed Akib Anwar

  Vehicle manufacturers are installing a large number of Electronic Control Units (ECU) inside vehicles. ECUs communicate among themselves via a Controller Area Network (CAN) to ensure better user experience and safety. CAN ...

• Deep Learning for Legal and Medical Text Analytics 

  Lam, Jason

  Applications of deep learning using text have shown wide success in detecting human emotions, analyzing social media feeds, classifying text and creating compressed representations. While deep learning has been widely ...

• Aiming with Assistance: Player Balancing for Differences in Fine Motor Ability 

  Hwang, Susan

  A significant barrier to players’ enjoyment of video games is the competitive nature of many multiplayer games. It can be difficult for people with different abilities to enjoy playing together. Player balancing (such as ...

• Theoretical and Practical Considerations of Learning Algorithms in Image-guided Interventions 

  Sedghi, Alireza

  Image-guided Interventions (IGI) have revolutionized medical practice and improved the quality of life for patients by enabling less invasive surgeries and treatments. Recent advancements in computing power and learning ...

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