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Toward Autonomic Data-Oriented Scalability in Cloud Computing Environments
(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 ...
Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction
(2015-08-28)
Most cancers lack effective early disease markers, prognostic and predictive signatures, primarily due to tumor heterogeneity. As a result, we fail treating cancer heterogeneity due to multiple ways cancer initiates and ...
Optimizing Simulated Crowd Behaviour
(2015-01-26)
In the context of crowd simulation, there is a diverse set of algorithms that model steering, the ability of an agent to navigate between spatial locations, while avoiding static and dynamic obstacles. The performance of ...
Efficient Security Protocols for Fast Handovers in Wireless Mesh Networks
(2016-09-20)
Wireless mesh networks (WMNs) are gaining popularity as a flexible and inexpensive replacement for Ethernet-based infrastructures. As the use of mobile devices such as smart phones and tablets is becoming ubiquitous, mobile ...
Exploring Topological Environments
(2015-08-28)
Simultaneous localization and mapping (SLAM) addresses the task of incrementally building a map of the environment with a robot while simultaneously localizing the robot relative to that map. SLAM is generally regarded as ...
Map-Based Localization for Unmanned Aerial Vehicle Navigation
(2018-03-01)
Unmanned Aerial Vehicles (UAVs) require precise pose estimation when navigating in indoor and GNSS-denied / GNSS-degraded outdoor environments. The possibility of crashing in these environments is high, as spaces are ...
Computing Probabilistic Bisimilarity Distances
(2018-11-21)
Behavioural equivalences like probabilistic bisimilarity rely on the transition probabilities and, as a result, are sensitive to minuscule changes of those probabilities. Such behavioural equivalences are not robust, as ...
Enriching Affect Analysis Through Emotion and Sarcasm Detection
(2018-08-27)
Affect detection from text is the task of detecting affective states such as sentiment, mood and emotions from natural language text including news comments, product reviews, discussion posts, tweets and so on. Broadly ...
ACT-R Based Models For Learning Interactive Layouts
(2015-01-26)
This dissertation presents research on learning of interactive layouts. I develop two models based on a theory of cognition known as ACT-R (Adaptive Control of Thought–Rational). I validate them against experimental data ...
Predicting and Reducing the Impact of Errors in Character-Based Text Entry
(2015-01-26)
This dissertation focuses on the effect of errors in character-based text entry techniques. The effect of errors is targeted from theoretical, behavioral, and practical standpoints. This document starts with a review of ...