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 415 for “"Agnostic"”.
-
Wavelength agnostic WDM strategies for avionic telecommunications
This thesis investigates the possibility of deploying a fibre optic network on aircraft; the network should provide 1.25 Gbps links between various end nodes throughout the aircraft. Particular attention has been paid to Wavelength Division Multiplexing (WDM) in Passive Optical Networks (PONs) and …
-
Preventing information leaks with policy-agnostic programming
… problem of information leaks, I propose a policy-agnostic programming paradigm that enforces security and privacy policies by construction. I present the implementation of this paradigm in a new language, Jeeves, that automatically enforces information flow policies describing how sensitive values …
-
Towards Morphology-Agnostic Control for Soft Robots
… the development of MANTIS: a Morphology-Agnostic Controller for Soft Robots. We evaluate MANTIS against expert controllers using a soft robotic benchmarking suite (EvoGym) and demonstrate proficiency in zero-shot generalization to unseen morphologies. Importantly, this work makes strides …
-
Agnostic Testing Kiosk for Remote Vitals Sensing
… to collaborate by sharing sensors and code. An agnostic testing system was developed from Ivan Goryachev’s Kiosk for Non-Contact Vital Sign Detection to incorporate RGB camera, thermal camera, radar, and auxiliary sensors for the measuring of heart rate, respiratory rate, body temperature, blood …
-
Unsupervised Learning : Model-guided and Model-agnostic Approaches
… learning are two distinct principles - model-agnostic representation learning and model-guided inference. The goal of this thesis is to extend the present literature on unsupervised learning through design of novel unsupervised algorithms for clustering, information estimation and model-guided …
-
Domain-agnostic named entity recognition on unstructured text
… the effectiveness of our proposed domain-agnostic techniques on multiple datasets. We set the new state-of-the-art for BioNLP13CG and give a competitive performance on CoNLL 2003 and JNLPBA datasets. Additionally, we probe into the BERT model and show that mere concatenation of external …
-
Encoder-Agnostic Learned Temporal Matching for Video Classification
… limitations, we propose DejaVid, an encoder-agnostic method that enhances model performance without the need for retraining or altering the architecture. Our framework converts a video into a variable-length temporal sequence of embeddings, which we call a multivariate time series (MTS). An …
-
Application Agnostic Network Traffic Modeling for Realistic Traffic Generation
… work focuses on developing a new application-agnostic framework for producing abstract, high-fidelity models of application network traffic patterns for realistic application traffic generation in laboratory environments. The framework includes a comprehensive evaluation system for realistic …
-
Model-agnostic Methodology for High-Altitude Balloon Mission Planning
… months, and years. Therefore, planning a date-agnostic multi-platform mission with HAB vehicle dynamics that are date dependent is an unsolved problem. There is a need for modeling high-altitude balloons in this way for multi-domain mission planning, and with technology getting smaller, …
-
Compiler techniques for enabling general-purpose hardware-agnostic FPGA programming
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
-
NoiseLearner: An Unsupervised, Content-agnostic Approach to Detect Deepfake Images
… NoiseLearner, an unsupervised and content-agnostic deepfake im- age detection method. NoiseLearner aims to detect any deepfake image regardless of the generative model of origin or the content of the image. We perform a comprehensive evalu- ation by testing on multiple deepfake datasets …
-
Machine Learning for Structure-Agnostic Chemical Analysis from Chromatographic Data
… the NIST retention index database, a structure-agnostic "Index-to-Property" model predicts physicochemical properties from paired retention indices, while a complementary "Property-to-Index" model predicts retention behavior from known properties, achieving predictive performance up to R^2=0.98. …
-
ULIME: Uniformly weighted Local Interpretable Model-agnostic Explanations for Image Classifiers
… method is Local Interpretable Model-agnostic Explanations (LIME), which can explain any black-box model trained on any type of data. Although LIME is a powerful tool, the explanations generated by it depend on how the hyper-parameters of the algorithm are set. If little care is given …
-
Biographical information extraction: A language-agnostic methodology for datasets and models
Information extraction (IE) refers to the task of detecting and linking information contained in written texts. While it includes various subtasks, relation extraction (RE) is used to link two entities in a text via a common relation. RE can therefore be used to build linked databases of knowledge …
-
Hardware Agnostic Condition Monitoring for Steel Manufacturing: A Machine Learning Approach
Machine maintenance is a major part of total operating costs for manufacturing and production plants, hence, having a cost-effective maintenance strategy is vital to success. Most standard solutions operate on a time-driven approach where repairs or replacements are carried out after an allotted …
-
Development of a Vehicle-Agnostic Direct-Sensing Telematics System for Electric Vehicles
… work developed and validated a retrofit, vehicle-agnostic telematics platform capable of directly and non-invasively sensing traction-battery and mobility parameters. The measurements are transmitted securely via LTE Cat 1 bis using a lightweight messaging protocol, MQTT, with backlog …
-
Monkey: Platform-Agnostic Hybrid-Cloud Cluster Compute Orchestration Designed for AI/ML
… clusters including local machines and provider agnostic cloud machines. Our system focuses on ML researchers with two main goals, minimizing costs (using preemptible/spot-instances) and user friendliness. The system aims to require minimal user setup and configuration, allowing researchers to …
-
JamNSync: A User-Friendly, Latency-Agnostic Virtual Rehearsal Platform for Music Ensembles
Existing technologies that support virtual rehearsals are complex and unintuitive. Network music performance platforms promise real-time interactions between physically separated musicians, but they demand hard-to-achieve network conditions, lack rehearsal-specific features, and require extensive …
-
An open vendor agnostic fog computing framework for mission critical and data dense applications
… generic, open, standards compliant, vendor agnostic and runs on high volume standard hardware whilst preserving the benefits offered by public clouds such as containerization, virtualization, orchestration, manageability and efficiency. Moreover, for the various stakeholders in the fog value …
-
Reactor agnostic multi-group cross section generation for fine-mesh deterministic neutron transport simulations
… for full-core transport methods is reactor agnostic multi-group cross section (MGXS) generation. Monte Carlo (MC) presents the most accurate method for MGXS generation since it does not require any approximations to the neutron flux. This thesis develops novel methods that use MC to generate …
Page 1 of 21