ProQuest Subject Index - Computer engineering at NORTHEASTERN UNIVERSITY

TOP >> NORTHEASTERN UNIVERSITY >> Computer engineering

Browse Institutions

You are viewing titles for NORTHEASTERN UNIVERSITY in the Computer engineering available through the UMI Dissertations & Thesis Gradwoorks site

The Unified Floating Point Vector Coprocessor for Reconfigurable Hardware	Dynamic-based video data registration

Reliability-Aware Placement and Routing for FPGAs	Variation and Defect Tolerance for Nano Crossbars

Integrated framework for heterogeneous embedded platforms using OpenCL	Comparison of Road Scanning Patterns of Novice and Experienced Drivers Using a Driving Simulator

Numerical Accuracy Differences in CPU and GPGPU Codes	ADUS: Adaptive Resource Allocation in Cluster Systems Under Heavy-Tailed and Bursty Workloads

Vforce: VSIPL++ for Reconfigurable Computing Environments	Enterprise system installation and performance evaluation

Accelerating an imaging spectroscopy algorithm for submerged marine environments using heterogeneous computing	Accelerating Explicit State Model Checking on an FPGA: PHAST

Design Optimization and Implementation for RF Energy Harvesting Circuits	Effectively Use Solid State Drives in Multi-tiered Storage Systems

Exploring power efficiency and optimizations targeting heterogeneous applications	Driver Lane Change Intention Recognition by Using Entropy-Based Fusion Techniques and Support Vector Machine Learning Strategy

Architecture-independent dynamic information flow tracking	Improving large margin classifiers using relationships among samples

Introducing abstraction to vulnerability analysis	High level modeling and mitigation of transient errors in nano-scale systems

Novel Function Approximation Techniques for Large-scale Reinforcement Learning	Adaptive Grid Computing

Interfacing a reasoner with heterogeneous self-controlling software	Analysis and Design of Robust Storage Elements in Nanometric Circuits

Machine Learning and Model Based 3D Segmentation Algorithms for Challenging Medical Imaging Problems	Collaborative Adaptation of Cognitive Radio Parameters Using Ontology and Policy Based Approach

Bayesian models for unsupervised feature selection	Learning at the virtualization layer: Intrusion detection and workload characterization from within the virtual machine monitor

Kernel Specialization for Improved Adaptability and Performance on Graphics Processing Units (GPUs)	An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

Learning from imperfect & related labels	Prototype Design and Network Protocols for Wireless Energy Harvesting Sensors