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 28 for “"Python Library"”.
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A Python Library For Ion Channel Modeling
… ion channel modeling, none are available as a Python library. In an attemptto provide an easy-to-use, yet powerful Markov model-based ion channelsimulator, we have developed ModFossa, a Python library supporting easy modelcreation and stimulus definition, complete with a fast numerical solver, …
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satdatagen: a Python Library for Satellite Sensor Task Scheduler Support
… The datasets generated from the satdatagen library are intended to be used as a baseline input to satellite sensor task schedulers. The datasets contain information about every satellite that passes in view of the sensor such as its angle of altitude and its brightness. Additionally, actual …
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Top-Down Synthesis for Library Learning
… synthesis as a mechanism for synthesizing library functions that capture common functionality from a corpus of programs in a domain specific language (DSL). The algorithm builds abstractions directly from initial DSL primitives, using syntactic pattern matching of intermediate abstractions …
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Numerical and Data Analysis of a Portable Free Fall Penetremeter
… stress integration algorithms. In addition, a Python library was also developed to streamline the testing of soil constitutive models using the IncrementalDriver software. Second, the processing of BlueDrop field data was centralized, standardized, and automated through the development of a …
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Simulation of lipid membrane models at coarse-grained resolution Towards novel methodologies with improved capabilities
… of CG simulations: i- ProLint2, an efficient Python library for characterizing biomolecular interactions from molecular dynamics trajectories; and ii- a new web portal for the Martini Force Field Initiative, built on an automatically maintained infrastructure and backend operations that …
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Applications and Implications of MIDI 2.0
… examples of MIDICI messages and implement a Python library for creating and sending UMPs using Apple’s CoreMIDI framework to explore creative use cases of UMPs. Several Python applications are presented to demonstrate the use of new features of MIDI 2.0 such as note attributes, new pitch …
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Computational Studies of PbS Quantum Dots
… the computational efforts, we first developed a Python library to automate DFT calculations and facilitate analysis, a framework based on nested directed graphs to manage and schedule concurrent and consecutive tasks, and a sigma.js- and Flask-based web frontend. In an effort to reduce the high …
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Infixer: A Method for Segmenting Non-Concatenative Morphology in Tagalog
… segmentation method described in the form of a Python library called Infixer. This approach involves a preprocessing step that re- structures non-concatenative patterns into concatenative ones using regular expressions, which allows the algorithm to operate on the input data as it would any …
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Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments
… do not use trajectory predictions. Finally, a Python library for Agent-Based-Modeling and crowd simulation is presented to aid in future research.</p>
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Scalable Combinatorial Algorithms for Optimal Transport Based Similarity Metrics
… real-world datasets. Lastly, we have developed a Python library that integrates our algorithms and methods into a user-friendly framework, making it easier for practitioners to adopt our methods. Our work enhances the computational efficiency and robustness of OT, making it practical for machine …
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Strategies for the Characterization and Virtual Testing of SLM 316L Stainless Steel
… manual segmentation of imaged features. Two Python-based image analysis tools are developed here to automate the instance segmentation of manufacturing defects and subgranular cell features commonly found in SLM 316L stainless steel (SS) for quantitative analysis. A custom trained mask …
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The structural organization of higher-order networks: Measures, algorithms and software for hypergraphs
… analysis, we develop Hypergraphx, an open-source Python library providing tools for hypergraph construction, visualization, and analysis. We complement this with Hypergraph-data, a curated repository of real-world datasets with rich metadata spanning different domains. These contributions aim to …
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Software Vulnerabilities in FOSS: From Assessment to Forecasting and Effective Usability
… an extensive validation on the top 21,205 Python library versions. It shows that the chance of picking a safe version in Python is higher than the traditionally reported ratio of safe package versions. The second part addresses the problem of forecasting future vulnerability. It proposes a …
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An intelligent analysis of policing data for identity resolution
… Additionally, with the help of the FuzzyWuzzy Python library, the Edit-distance algorithm is applied to match attributes such as “address” and “ethnicity description.” The Mean-Shift clustering technique dynamically generates clusters based on the final dataset, avoiding needing a predefined …
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Robust foundation model for healthcare
… the development of PyHealth, an open-source Python library that provides a comprehensive framework for deep learning on healthcare data. PyHealth integrates lessons learned from the aforementioned research, offering standardized data processing pipelines, implementations of state-of-the-art …
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A deep learning-based approach towards automating visual reinforced concrete bridge inspections
… and fine-tuning using the fastai deep learning python library. The performance of each model was ultimately evaluated based on prediction accuracies on the test sets and their robustness to noise. Test accuracies ≥ 87% were attained by the trained models. This result shows that CNNs are capable …
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Systems for Usable Machine Learning
… more effective. Pyreal is a framework and Python library implementation that uses updated data transformers to generate explanations of ML models and predictions using interpretable features. Motivated by the development and customization effort required to develop ML tools for new …
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Modeling biological systems with Answer Set Programming
… the network. Finally, we present the BioASP library, a Python library which encapsulates our ASP solutions into the imperative programming paradigm. The library allows for an easy integration of ASP solution into system rich environments, as they exist in Systems Biology.
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Deep learning on whole-slide images for early detection and risk prediction of oesophageal cancer
… device. It also introduces a new software library for efficiently handling computational pathology tasks. Oesophageal adenocarcinoma is usually diagnosed late, leading to a five-year mortality rate of only 13%. The identification of its precursor, Barrett’s oesophagus (BE), is thus a …
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Investigating a learning analytics interface for automatically marked programming assessments
… usable. The prototypes were designed using the Python programming language and Plotly Python library. User-centred design methods were employed by eliciting constant feedback from students during the prototyping and design of the learning analytics inspired interface. A usability study was …
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