Now showing items 9759-9778 of 15492

    • Network Robustness: Diffusing Information Despite Adversaries 

      Zhang, Haotian (University of Waterloo, 2012-08-29)
      In this thesis, we consider the problem of diffusing information resiliently in networks that contain misbehaving nodes. Previous strategies to achieve resilient information diffusion typically require the normal nodes to ...
    • Network-Accelerated Linearizable Reads 

      Takruri, Hatem (University of Waterloo, 2019-08-07)
      This thesis present FLAIR, a novel approach for accelerating read operations in leader-based consensus protocols. FLAIR leverages the capabilities of the new generation of programmable switches to serve reads from follower ...
    • Network-accelerated Scheduling for Large Clusters 

      Kettaneh, Ibrahim (University of Waterloo, 2020-05-04)
      We explore a novel design approach for accelerating schedulers for large scale clusters. Our approach follows a centralized design and leverages the programmability of recent programmable switches to accelerating scheduling ...
    • Network-Layer Resource Allocation for Wireless Ad Hoc Networks 

      Abdrabou, Atef (University of Waterloo, 2008-08-14)
      This thesis contributes toward the design of a quality-of-service (QoS) aware network layer for wireless ad hoc networks. With the lack of an infrastructure in ad hoc networks, the role of the network layer is not only to ...
    • Networked governance and summit diplomacy: shaping the maternal, newborn and child health agenda 

      Abbott, Clint L. (University of Waterloo, 2013-01-08)
      Diplomatic summits serve as critical opportunities for national leaders to interact and mobilize the political will needed to address the world’s greatest challenges. Yet, summits have a checkered past with both successes ...
    • NeuRA: Using Neural Networks to Improve WiFi Rate Adaptation 

      Khastoo, Shervin (University of Waterloo, 2020-09-04)
      Although a variety of rate adaptation algorithms have been proposed for 802.11 devices, sampling-based algorithms are preferred and used in practice because they only require frame loss information which is available on ...
    • Neural correlates of trait anxiety in sensory processing and distractor filtering 

      Faerman, Michelle (University of Waterloo, 2022-10-25)
      Anxiety, generally defined as an anticipatory heightened state of arousal, has been shown to affect neural markers of cognition and executive components used in sensorimotor function; however, this has infrequently been ...
    • A neural model of the motor control system 

      DeWolf, Travis (University of Waterloo, 2015-01-16)
      In this thesis I present the Recurrent Error-driven Adaptive Control Hierarchy (REACH); a large-scale spiking neuron model of the motor cortices and cerebellum of the motor control system. The REACH model consists of ...
    • A neural modelling approach to investigating general intelligence 

      Rasmussen, Daniel (University of Waterloo, 2010-08-06)
      One of the most well-respected and widely used tools in the study of general intelligence is the Raven's Progressive Matrices test, a nonverbal task wherein subjects must induce the rules that govern the patterns in an ...
    • Neural modulation of the human visual cortex 

      Abuleil, Dania (University of Waterloo, 2020-09-30)
      Neuroplasticity is a phenomenon that refers to the brain’s ability to reorganize, strengthen, and form neural connections, a process that becomes increasingly more difficult with age. Gamma amino-butyric acid (GABA), the ...
    • Neural Network Classifiers for Human Tissue Classification in NIR Biomedical Multispectral Imaging 

      Gurm, Sandeep (University of Waterloo, 2018-06-11)
      Near infrared imaging (NIR) is an imaging modality that has gained traction for solving biomedical problems in recent years. By leveraging the NIR spectrum, multiple spectra from the NIR range can be used to extract ...
    • Neural Network Viscosity Models for Multi-Component Liquid Mixtures 

      Elneihoum, Adel (University of Waterloo, 2009-08-31)
      An artificial neural network has been developed for the prediction of the kinematic viscosity of ternary, quaternary, and quinary systems. The systems investigated consisted of the following components: Heptane, Octane, ...
    • Neural networks and quantum many-body physics: exploring reciprocal benefits. 

      Golubeva, Anna (University of Waterloo, 2021-08-03)
      One of the main reasons why the physics of quantum many-body systems is hard lies in the curse of dimensionality: The number of states of such systems increases exponentially with the number of degrees of freedom ...
    • Neural Plausibility of Bayesian Inference 

      Sharma, Sugandha (University of Waterloo, 2018-07-31)
      Behavioral studies have shown that humans account for uncertainty in a way that is nearly optimal in the Bayesian sense. Probabilistic models based on Bayes' theorem have been widely used for understanding human cognition, ...
    • The Neural Processes of Perceived Simultaneity and Temporal Order in Younger and Older Adults using EEG. 

      Basharat, Aysha (University of Waterloo, 2017-08-02)
      In order to make sense of the world, the central nervous system (CNS) must determine the temporal order of events and integrate cues that belong together. The process of integrating information from multiple sensory ...
    • Neural Processing of Fearful and Happy Facial Expressions: Effects of Fixation to Facial Features and Task Demands 

      Neath, Karly (University of Waterloo, 2015-11-25)
      The current literature regarding the time course of facial expression processing is inconsistent and early emotion effects are debated. Facial expressions are well-known to be characterized by “diagnostic” facial features ...
    • Neural Text Generation from Structured and Unstructured Data 

      Shahidi, Hamidreza (University of Waterloo, 2019-08-28)
      A number of researchers have recently questioned the necessity of increasingly complex neural network (NN) architectures. In particular, several recent papers have shown that simpler, properly tuned models are at least ...
    • Neural Tube Defect-causing Teratogens Affect Tissue Mechanical Properties and Cytoskeletal Morphology in Axolotl Embryos 

      Kakal, Fatima (University of Waterloo, 2007-11-22)
      The teratogenic drugs cytochalasin B and valproic acid have been shown to alter F-actin polymerization, an effect that is crucial in forming microfilaments. Microfilaments form important cytoskeletal structures that maintain ...
    • Neural-guidance for symbolic reasoning 

      Nham, Le (University of Waterloo, 2020-10-19)
      Symbolic reasoning begot Artificial Intelligence (AI). With the recent advances in Deep Learning, many traditional AI areas such as Computer Vision and Natural Language Processing have moved to probabilistic-based approaches. ...
    • Neuregulin’s role in regulating the anti-inflammatory pathway 

      Nash, Michelle (University of Waterloo, 2009-08-12)
      Inflammation can be up-regulated by microglia and macrophages through the release of pro-inflammatory cytokines such as tumour necrosis factor-alpha (TNF-α). Excess production of TNF-α can lead to a variety of diseases and ...

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