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 20 of 43 for “"Hybrid Architecture"”.
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A dataflow/von Neumann hybrid architecture
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.
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The Hybrid Architecture Parallel Fast Fourier Transform (HAPFFT)
… single-chipped, streaming I/O, pipelined FFT architectures. These architectures increase computational concurrency through the use of hardware pipelining. Streaming I/O, pipelined FFT architectures are capable of accepting a single data sample every clock cycle. In principle, the maximum clock …
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Hybrid architecture for human action recognition using skeleton data
In this work, we propose a deep learning architecture, incorporating a Graph Convolutional Network (GCN) backbone combined with a partitioning transformer, that achieves results comparable to the state-of-the-art methods in skeleton based multi-person, multiview human action recognition. By …
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An hybrid architecture for multi-layer feed-forward neural networks.
… are addressed and solved by the mixed signal architecture for implementation of feed-forward neural network. The hybrid architecture is analyzed and implemented in 0.5 micron CMOS technology. The analog processing blocks have been designed in current mode analog CMOS and the synaptic weights …
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Hybrid Architecture within Najd Region, Saudi Arabia: Environmental, Cultural, Structural, and Functional Juxtapositions
The thesis investigates the concept of hybrid architecture as a juxtaposition of multiple architectural factors, including environmental, cultural, structural, and functional ones. The work examines the Najd region of Saudi Arabia and its historical and contemporary contexts concerning functional …
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A CNN–LSTM–Attention Hybrid Architecture for Real-Time Intrusion Detection at the Data Link Layer
… this thesis proposes a memory-efficient hybrid deep learning architecture that integrates Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) units, and an Attention mechanism for real-time detection of Layer 2 intrusions. A novel dataset, BCCC-DLLayer-IDS-2025, was …
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Hybrid Spectral Micro-CT: System Implementation, Exposure Reduction, K-edge Imaging Optimization, and Content Management
… of spectral CT imaging can be enhanced using a hybrid architecture that integrates a narrow-beam spectral 'interior' imaging chain integrated with a traditional wide-beam 'global' imaging chain. The first study demonstrates the feasibility of hybrid spectral micro-CT architecture with a …
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Assessing General Propulsion Architectures for Fast Transit Times to Mars for Crewed Missions
… chemical rockets, it is important to study how a hybrid architecture affects performance. Hybrid systems are defined as an electric-chemical propulsion system or a chemical-nuclear thermal propulsion system. While there are many other variations, for the purposes of this study the focus will be on …
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New PCM based FPGA architecture and graphene memory cell design
… sense circuit is designed. We also propose a new hybrid architecture that uses LUTs with single and independent twin-outputs. The architecture is evaluated over delay and area with different LUT configurations. Experimental results show that on average 50 percent area reduction and 10 percent …
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Finishing touches : adaptive graphic design that leverages human creativity
… proposes the investigation of a distributed architecture to facilitate automatic adaptation of graphical representation in digital documents to constraints imposed by the presentation device. The goal of the system is to select the most effective graphical solution from among a set of such …
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Strategy and methodology for enterprise data warehouse development. Integrating data mining and social networking techniques for identifying different communities within the data warehouse.
… different aspects related to the data warehouse architecture and performance issues. Many data warehouse architectures have been presented by industry analysts and research organizations. These architectures vary from the independent and physical business unit centric data marts to the …
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Adaptive self-prompting in agentic LLM frameworks for embedded code fault detection
… Supervised Fine-Tuning (A-SFT), along with a hybrid architecture integrating both. A-RAG employs confidence-triggered adaptive retrieval on a curated vector knowledge base of coding standards, while A-SFT leverages self-evaluation and instruction adaptation to refine the model’s reasoning …
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MacVisSTA: A System for Multimodal Analysis of Human Communication and Interaction
… for coarse-to-fine observational studies. The hybrid architecture may be extended through plugins. Finally, this effort has resulted in encoding of behavioral and language data, enabling collaborative research and embodying it with the aid of, and interface to, a database management system.
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A symbol's role in learning low-level control functions.
… low level control functions. It proposes a novel hybrid architecture with a tight coupling between a variant of symbolic planning and reinforcement learning. This architecture combines the strengths of the function approximation of subsymbolic learning with the more abstract compositional nature …
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Recurrent neural networks in cognitive and vision neuroscience
… and temporal integration. Lastly, we propose a hybrid architecture that integrates the continuous-time dynamics of recurrent networks with the spatial processing capabilities of convolutional neural networks, creating a unified model that retains biological plausibility while achieving high …
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Policy Compilation for Stochastic Constraint Programs
… uncertain, and highly dynamic, demanding an architecture which can encode and solve a rich set of problems involving decision-making under uncertainty. While many solution architectures exist for solving deterministic CSPs, very few are able to generate decisions that are robust to …
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PRESERVING THE VIABILITY OF NUCLEAR COMMAND, CONTROL, AND COMMUNICATIONS IN THE MODERN AGE
… the author identifies a digital-analog hybrid architecture that can bolster NC3 in cyberspace and a hybrid space architecture that integrates government payloads with commercial platforms to reinforce NC3 in outer space. Additionally, the author found NC3 is better defended in the …
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Defio: Instance-Optimized Fusion of AWS Database Services
… of their use cases and workloads. This kind of hybrid architecture—also known as Data Mesh architecture—often leads to the increasing complexity of maintaining and utilizing database services, both for the data engineers and the end users. However, we believe that some of this complexity can be …
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Social infrastructure
… the central argument of this thesis is that architecture built along major transportation corridors must respond to the scale of the infrastructure itself Dense concentrations of pollution and rising transient populations (homeless, working poor and chronically unemployed) surrounding …
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Blockchain technology in supply chain and logistics
… state of blockchain adoption, its technology architecture, review of how blockchain technology and smart contract works, and the benefits and challenges involved. Further, provided a deep dive into the problem of food safety, and the food supply chain and logistics ecosystem drivers. …
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