Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"network reduction"”.
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Neural Network Reduction for Efficient Execution on Edge Devices
As the size of neural networks increase, the resources needed to support their execution also increase. This presents a barrier for creating neural networks that can be trained and executed within resource limited embedded systems. To reduce the resources needed to execute neural networks, weight …
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Fast optimal power flow analysis for large-scale smart grid
… optimal power flow (ACOPF) through power system network reduction (NR). We formulate the OPF problem based on an equivalent reduced system and then compute its solution. The detailed optimal dispatch for the original power system is obtained afterwards using a distributed algorithm. Our results …
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Integrative approaches for systematic reconstruction of regulatory circuits in mammals
The reconstruction of regulatory networks is one of the most challenging tasks in systems biology. Although some models for inferring regulatory networks can make useful predictions about the wiring and mechanisms of molecular interactions, these approaches are still limited and there is a strong …
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Analysing First Passage Time Distributions of Large Ill-Conditioned Energy Landscapes
… can be represented by a kinetic transition network. Each local minimum is represented by a node in the network, and two nodes are joined by an edge if a transition state directly connects their associated minima. Each edge has a forwards and backwards branching probability, and a waiting …
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Control of Network Topology in Photopolymer Networks for Additive Manufacturing
… (RAFT), and their applications in photopolymer networks to improve material properties and introduce novel functional materials to additive manufacturing. Chapter 2. In this work, we incorporate a RAFT agent into a crosslinker to make chain-transferring crosslinkers, or Transferinkers, and …
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High-performance computing for smart grid analysis and optimization
… large-scale smart grid through clustering and network reduction (NR). A cumulant-based method and Gram-Charlier expansion theory are used to efficiently obtain the statistics of system states. We also develop a more accurate linear mapping method to compute the unknown cumulants. ClusRed can …
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Information-theoretic limitations of distributed information processing
In a generic distributed information processing system, a number of agents connected by communication channels aim to accomplish a task collectively through local communications. The fundamental limits of distributed information processing problems depend not only on the intrinsic difficulty of the …