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.
Results
Showing 1 to 20 of 514 for “"neuro"”.
-
Neuro-symbolic fact verification
… To address these issues, this thesis explores neuro-symbolic methods for fact verification, which integrate symbolic systems with neural representations. We focus in particular on natural logic, a framework of compositional entailment which operates directly on natural language by capturing the …
-
Konzistentan neuro-fazi sistem zaključivanja
… model sistema u osnovi predstavlja integraciju neuronskih mreža i fazi sistema, čime se bolje koriste dobre strane oba pristupa. Polazna osnova ovog rada je da ponašanje sistema, kroz skup lingvističkih pravila, treba da opisuju upravo oni koji sistem najviše poznaju i razumeju (nasuprot …
-
Neuro-Fuzzy Forecasting of Tourist Arrivals
… process. This research has established that neuro-fuzzy models can be used effectively in tourism forecasting, having made adequate comparisons with other time series and econometric models using real data. This research takes tourism forecasting a major leap forward to an entirely new …
-
Integrating Exercise Within Neuro-Oncology Care
Neuro-oncology patients are underserved in the field of exercise oncology. With growing evidence on the role of exercise for this patient population, there is a need to develop and evaluate accessible and tailored exercise interventions within standard supportive neuro-oncology care. The purpose of …
-
Neuro-electronic technology in medicine and beyond
… a future for non-medicinal applications of neuro-electronic technology. Social attitudes towards use for both medicinal and non-medicinal purposes are discussed, and the viability of use in the latter case assessed.
-
Distributed autonomous intersection management with neuro-evolution
… by companies such as Uber, Google and Tesla. Neuro-Evolution has shown promise in the field of controller development, due to its ability to develop complex behaviour without a need for any labelled training data. It has been applied previously in car controller generation, across many fields. …
-
Robot-aided neuro-rehabilitation and functional imaging
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1997.
-
Neuro-Symbolic Learning for Bilevel Robot Planning
Decision-making in robotics domains is complicated by continuous state and action spaces, long horizons, and sparse feedback. One way to address these challenges is to perform bilevel planning, where decision-making is decomposed into reasoning about “what to do” (task planning) and “how to do it” …
-
Learning Neuro-Symbolic Skills for Bilevel Planning
… These components are packaged into modular neuro-symbolic skills and sequenced together with search-then-sample TAMP to solve new tasks. In experiments in four robotics domains, we show that our approach – bilevel planning with neuro-symbolic skills – can solve a wide range of tasks with …
-
Adaptive Self-Tuning Neuro Wavelet Network Controllers
… in improved speed of learning. In particular, neuro-based controllers assume a certain model structure to approximate the system dynamics of the "unknown" plant and generate the control signal. The capability of neuro-controllers to self-tuning of an unknown nonlinear plants is then illustrated …
-
BIOENGINEERING CHITOSAN-BASED TUBULAR NEURO-MUSCULAR GASTROINTESTINAL TISSUE
… We hypothesized that a tissue engineered tubular neuro-muscular gut can be used to lengthen the gut and restore its function. Tissue engineering and regenerative medicine aims to restore, repair or regenerate tissues and organs using a cell/scaffold/bioactive mechanism.
-
Three dimensional simulation of functional neuro-vascular imaging
Functional optical imaging has become a powerful tool for measuring physiological parameters in the brain without disrupting normal physiology. Fluorescence lifetime imaging (FLIM) has been shown to allow near real time mapping of oxygen tension in plasma (pO2), and Laser Speckle Contrast Imaging …
-
Feature-Based Neuro-Symbolic Networks for Global Diagnostics
… of momentum) to create a feature-based neuro-symbolic network. This network is very similar to a neural network, except that it is based on a physical equation, and it uses features instead of raw data. Results from this network identify patterns of behavior that display whether the …
-
Intelligent transformer monitoring system utilizing neuro-fuzzy approach
Includes bibliographical references (pages 113-120).
-
Solution Structure of the Apocalmodulin/neuro-P Complex
The interaction of apocalmodulin with a peptide (Neurop ) derived from the calmodulin-binding domain of the neural-specific protein neuromodulin has been studied by nuclear magnetic resonance (NMR). This complex is in fast exchange with its components on the NMR timescale, and the dissociation …
-
Value function approximation architectures for neuro-dynamic programming
Neuro-dynamic programming is a class of powerful techniques for approximating the solution to dynamic programming equations. In their most computationally attractive formulations, these techniques provide the approximate solution only within a prescribed finite-dimensional function class. Thus, the …
-
Evolving controllable emergent crowd behaviours with Neuro-Evolution
… investigates a method for automating this, using Neuro-Evolution (NE). This is achieved by using Artificial Neural Networks as the agent controllers within an animated scene, and evolving these with an Evolutionary Algorithm so that the agents behave as desired. To this end, this thesis proposes, …
-
Neuro-evolution behavior transfer for collective behavior tasks
The design of effective, robust and autonomous controllers for multi-agent and multi-robot systems is a long-standing problem in the fields of computational intelligence and robotics. Whilst nature-inspired problem-solving techniques such as reinforcement learning (RL) and evolutionary algorithms …
Page 1 of 26