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Titlebook: International Congress and Workshop on Industrial AI and eMaintenance 2023; Uday Kumar,Ramin Karim,Ravdeep Kour Conference proceedings 202

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Simulation Environment Evaluating AI Algorithms for Search Missions Using Drone Swarms,., most efficient search algorithm for the task at hand. A couple of probabilistic and heuristic search methods were implemented for testing purposes, and they are the following: Bayesian Search together with a Hill Climbing search algorithm and Bayesian Search together with an A-star search algorit
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,Risk-Based Dependability Assessment of Digitalised Condition-Based Maintenance in Railway Part I–FMspection solution for CM to enable improved CBM. Hence, the dependability assessment indicates ‘which’ functions or items that should be covered by a digitalised solution for inspection (CM) and ‘why’ they should be covered. ‘How’ the coverage should be solved, i.e., by which technical solutions, is
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Climate Zone Reliability Analysis of Railway Assets, mode, time to repair, etc.), asset registry data (type, location, the criticality of the asset, etc.), inspection data, and weather data. Four different clusters have been identified considering the climatic pattern. The proposed model has been validated using S&Cs from the Swedish railway network.
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Artificial Intelligence in Predictive Maintenance: A Systematic Literature Review on Review Papers,tematic Literature Review, or SLR) was employed to perform this tertiary study. In addition, the Scale for the Assessment of Narrative Review Articles (SANRA) approach for evaluating the quality of review papers has been employed to support a few of the research questions. Here, This tertiary study
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Using a Drone Swarm/Team for Safety, Security and Protection Against Unauthorized Drones,ed environment for mission execution where relevant KPI’s related to the design of the mission have been used to measure how efficient our approach is in deterring or incapacitating unauthorized drones. The evaluation has been performed using Monte-Carlo simulations on a batch of randomized scenario
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Conference proceedings 2024s tremendous promises in terms of achieving excellence and cost-effectiveness in the operation and maintenance of industrial assets. Opportunities in Industrial AI exist in many industries such as aerospace, railways, mining, construction, process industry, etc. Its development is powered by several
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Cesar Isaza,Fernando Guerrero-Garcia,Karina Anaya,Kouroush Jenab,Jorge Ortega-Moody
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