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ARC Training Centre for Transforming Maintenance through Data Science
Presentations
Page Information
Title:
Presentations
Author:
John Hille
Mar 29, 2021
Last Changed by:
John Hille
Oct 17, 2022
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https://www.maintenance.org.au/x/FAcHAg
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ARC Training Centre for Transforming Maintenance through Data Science
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2020 ANZIAM Early-career Workshop
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A Computer Vision Based Approach to Measuring Remaining Useful Life of Sizer Barrels
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A data fit organization and new approach in building organizational data capabilities
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Advances in Time Series Analysis With Reservoir Computing
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A fresh look at the Future of Technical Language Processing Research in the eyes of ChatGPT
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AI on maintenance data - challenges to value delivery
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AI On Maintenance Data - Challenges To Value Delivery.
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AMPeak. Annual conference put on in Perth by the Asset Management Council
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An alternative approach to conventional methods of belt wear modelling and forecasting
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An exact cutting plane algorithm for the Euclidean Max-Sum Diversity Problem
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An Introduction to Time Series Analysis with Reservoir Computing
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A Novel Approach to Time Series Complexity via Reservoir Computing - AJCAI 2022
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Answering Logical Queries on Technical Knowledge Graphs
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A pattern-based natural language interface for knowledge graph querying
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APOS Workshop Data Automation
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Applied Mathematics and Complex Systems Seminars
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Are we ready for a rational discussion? The existence of biases in construction dispute negotiation
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Are we ready to transform? Building capability to adopt data science solutions.
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A stochastic model for job assignment problem with random arrivals and processing time
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A technical language processing-based solution to automatically calculating lubrication-related costs from maintenance work orders - presentation at PHM 2021, TLP Workshop
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Breakfast seminar - Sirius Centre and Energy Valley in Oslo
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Building a Data Fit Organisation
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Building employability capabilities in data science students: An interdisciplinary, industry-focussed approach
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Cleaning and Visualization of Unstructured Text in Safety Records ESREL 2020 PSAM 15
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Common definitions for mining technology
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Complex Data Requires Creative Solutions
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Connectivity and Linkedness of the Graph of Cubical Polytopes
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Conversational Data Analysis using ChatGPT
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Conveyor belt wear forecasting through a Bayesian Hierarchical Modeling framework using functional data analysis and gamma processes.
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Conveyor Belt Wear Forecasting through a Bayesian Hierarchical Modeling Framework using Functional Data Analysis and Gamma Processes by Ryan Leadbetter
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Cost Aggregate Queries on Knowledge Graph Augmented by Reference Data Libraries
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Crew Rostering Optimization in Maintenance Operations - Models and Solution Methods
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Critical Transitions in Complex Systems
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Cutting Plane Algorithms are Exact for Euclidean Max-Sum Problems
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CylE: Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs - poster presentation
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Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs
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CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs
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DARE presentation - Conveyor Belt Wear Forecasting through a Bayesian Hierarchical Modeling Framework using Functional Data Analysis and Gamma Processes by Ryan Leadbetter
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Data fit organisation pilot research project: Insights from a data workflow by Eden Li and Mitin Hirani
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Degradation modelling in mining and mineral processing equipment: a comparison of two statistical approaches
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Detecting transitions in dynamical and industrial systems
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Dynamical System Approaches to Online Fault Detection
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EACL 2023 - CylE: Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs
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Employee Digital Capabilities and Talent Development
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eResearch 2019
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ESREL 2020 PSAM 15 - The 30th European Safety and Reliability Conference
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Estimating the remaining useful life of process piping using Bayesian methods
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Estimation and Testing with Extended Sequential Order Statistics
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Estimation with ESOS
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Estimation with Extended Single Order Statistics
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Exploiting Domain Knowledge for Neural Technical Language Processing.
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Failure project briefing Oslo
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Failure Project presentation
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Forecasting Conveyor Belt Wear using Bayesian Hierarchical Modelling
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Future of Mining conference Sydney
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Get the most out of condition monitoring data: Improving conveyor belt wear forecasts to make better maintenance decisions
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Get the most out of condition monitoring data: Improving conveyor belt wear forecasts to make better maintenance decisions.
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Global PM Days Keynote Speech
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How Do Non-Work Individual Factors Affect Worker Well-Being in the Construction Industry?
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How is intelligence artificially learnt
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Human Side of Data Science Innovation Management
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ICIAM,2019,
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ICMIAM AI on maintenance data -challenges to value delivery
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ICMIAM Estimating the remaining useful life of process piping using Bayesian methods
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ICMIAM Informative Bayesian Survival Methods to Handle Heavy Censoring in Lifetime Data
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Improving how engineers communicate - with computers
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Industrial data and the resurrection of ontologies
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Industrial Data Extraction and Use - SIEMENS Technology
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Industrial Equipment Reference Data Sets - a review of structures and utility
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Industrial Knowledge Graphs for Maintenance applications
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Integrating Domain Knowledge into Neural Technical Language Processing
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Intelligent Maintenance Conference 2020
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Interdisciplinary, industry-based work-integrated learning (WIL): Transformative educational experiences for students, teachers and industry partners
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International Workshop on Complex Systems and Networks
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IOF Maintenance Working Group tutorial
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ISWC 2019
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Key features of future work and capability requirements for a thriving workforce
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Key Note Speaker - Maintenance in an industry 4.0 and COVID-19 world – the case for remote operations
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Knowledge-Graph-Based Question Answering
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Large Language Models for Failure Mode Classification: An Investigation
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Latest advances in Natural Language Processing and how this can improve automation
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Learning the dynamics: from radial basis functions to reservoir computers.
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Lifetime Prediction for Systems with heterogeneous Components
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Long-term Integrated Maintenance Scheduling Optimisation
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Maintenance Optimisation for Network Connected Assets
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Maintenance through Data Science: A Summary of Work to Date
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Managing Streamed Sensor Data for Mobile Equipment Failure Prediction
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Master Class - Complex Time Series Modelling
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Master Class - Deterministic Dynamics, Machine Learning & Tipping Points
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Master Class - Pattern Recognition and Change Point Detection
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Master Class - Rethinking Technology-Led Maintenance Transformation Implementation People are the Key to Success
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Master Class - Solution Methods for Practical Scheduling Models
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Mineral Resource Institute of Western Australia - PhD Research Showcase Poster
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Mini-symposium Ontologies for Infra and Building Sector16th April 2019, Delft
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Modular ontologies for maintenance texts
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Multi-skilled Workforce and Maintenance Job Scheduling in Turnaround Maintenance.
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Natural Language Query For Technical Knowledge Graph Navigation
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NLP meets ontologies for industrial knowledge graphs on maintenance texts
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NLP Workshop
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Nonlinear time series analysis of industrial data with uncertainty
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NSW ANZIAM 2021 Mid-year Conference - Optimisation Methods for Maintenance Scheduling in the Mining Industry.
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On outer approximation method for nonconvex binary optimization
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Ontologies meet NLP
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Ontologies meet NLP NLP-with a spare parts perspective
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Ontologies meet NLP - with a spare parts perspective
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Optimal maintenance scheduling for Alcoa digester banks
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Optimisation Methods for Maintenance Scheduling in the Mining industry
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Optimisation model for sixteen-week Maintenance Planning in Alcoa
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Optimisation platform for shutdown maintenance scheduling
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Optimising Maintenance Teams
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Periscope: A tool for centralised asset reliability assessment powered by NLP
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Plant shutdown planning problems.
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Presentation on Semi-automated Estimation of Reliability Measures from Maintenance Work Order Records
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Presentation - Semi-automated Estimation of Reliability Measures from Maintenance Work Order Records
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Prof Andrew Rohl and Ryan Leadbetter - Roundtable panel discussion AI in Industry chaired by Karin Breitman
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QUARRY: A Graph Model for Queryable Association Rules
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Question Answering over Temporal Knowledge Graphs
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Questioning your maintenance data and get accurate answers
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Raising the Bar
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Reasoning about technical language for incomplete knowledge graphs using query embedding
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Redcoat: A Collaborative Annotation Tool Supporting Technical Language Processing Research
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Reliability inference with extended sequential order statistics
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Reservoir Computing Approaches to Parameter Extraction with Applications
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Risk-Based Maintenance Scheduling Optimisation
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Scheduling Tool for Furnace Outages at Kwinana Nickel Refinery by Hoa Bui
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SConE: Simplified Cone Embeddings with Symbolic Operators for Complex Logical Queries poster presentation
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Semantic Arts in US - Industrial Data Extraction and Use
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Sequential Order Statistics for Non-identical Component Lifetimes
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SIAM 2019
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Simplified Cone Embeddings with Symbolic Operators for Complex Logical Queries poster presentation
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SOS for non-id components
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Sydney dynamics group workshop
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TBA
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The Benefits of Reservoir Computing Embedding for Recurrence Analysis
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The Ghost in the Machine - Are we heading for a Predictive Analytics driven disaster?
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The International Conference on Smart Computing & Communications (ICSCC 2019)
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Towards a set of open reference ontologies for reasoning and text interoperability across the manufacturing domain
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Transforming Maintenance Through Data Science
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Tutorial at AJCAI 2022
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Tutorial at AJCAI 2022 - A Practical Guide to Knowledge Graph Construction from Technical Short Text
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Understanding the Difficulties of Optimisation
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Unlocking industry data in research/industry partnerships and working towards a FAIR data future
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Unlocking knowledge buried within technical records
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Unlocking knowledge in Maintenance Workorders
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Unlocking knowledge in Maintenance Work Orders with Echidna and Redcoat
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Unlocking the Potential of Data Science: Developing an Assessment Tool for Organisational Capability
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WA Mining Conference
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What does the Data Say or Why I don't like analogies?
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WMC Presentation - Get the most out of condition monitoring data: Improving conveyor belt wear forecasts to make better maintenance decisions
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WOMBAT 2023 - Cutting Plane Methods are Exact for Euclidean Max-Sum Problems
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WOMBAT 2023 - Parallel Machine Scheduling Problem with Flexible Resources and Shift Consideration
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Zero Duality Gap Conditions via Abstract Convexity
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Oct 17, 2022 10:37
John Hille
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Aug 09, 2022 02:09
John Hille
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Jul 05, 2022 07:52
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Mar 29, 2021 03:57
John Hille
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