Use of machine learning to analyse routinely collected intensive care unit data: a systematic review
D Shillan, JAC Sterne, A Champneys, B Gibbison - Critical care, 2019 - Springer
Abstract Background Intensive care units (ICUs) face financial, bed management, and
staffing constraints. Detailed data covering all aspects of patients' journeys into and through …
staffing constraints. Detailed data covering all aspects of patients' journeys into and through …
Human–machine cooperation research for navigation of maritime autonomous surface ships: A review and consideration
Abstract Maritime Autonomous Surface Ships (MASS) have obtained much attention in
recent years. Navigation with human–machine cooperation is the core for L1–L3 MASS. In …
recent years. Navigation with human–machine cooperation is the core for L1–L3 MASS. In …
A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning
Selection of optimum process parameters is often regarded as an effective strategy for
improving energy efficiency during computer numerical control (CNC) turning. Previous …
improving energy efficiency during computer numerical control (CNC) turning. Previous …
Application of neuro-fuzzy system for predicting the success of a company in public procurement
The paper presents a neuro-fuzzy system for evaluating and predicting the success of a
construction company in public tenders. This model enables companies to operate …
construction company in public tenders. This model enables companies to operate …
Dynamic design method of digital twin process model driven by knowledge-evolution machining features
J Liu, P Zhao, X Jing, X Cao, S Sheng… - … Journal of Production …, 2022 - Taylor & Francis
Machining plan is the core of guiding manufacturing production and is regarded as one of
the keys to ensure the quality of product processing. Existing process design methods are …
the keys to ensure the quality of product processing. Existing process design methods are …
Smart production planning and control: technology readiness assessment
There is a clearly identified need to support SMEs to be aligned with technology advances in
the context of Industry 4.0 throughout the end-to-end engineering across the entire value …
the context of Industry 4.0 throughout the end-to-end engineering across the entire value …
Agent-based intelligent decision support systems: a systematic review
Decision-making complexity, in a distributed environment, is due to hard tasks that a system
must resolve. This complexity makes researchers focus on looking for solutions to cope with …
must resolve. This complexity makes researchers focus on looking for solutions to cope with …
Adapted visual analytics process for intelligent decision-making: application in a medical context
The theoretical and practical researches on Visual Analytics for intelligent decision-making
tasks have remarkably advanced in the past few years. Intelligent Decision Support Systems …
tasks have remarkably advanced in the past few years. Intelligent Decision Support Systems …
Optimised building energy and indoor microclimatic predictions using knowledge-based system identification in a historical art gallery
This paper presents a system identification (SID) model for an historical art gallery of great
cultural significance. These buildings require tight indoor temperature and moisture controls …
cultural significance. These buildings require tight indoor temperature and moisture controls …
Interactive dimensionality reduction using similarity projections
Recent advances in machine learning allow us to analyze and describe the content of high-
dimensional data like text, audio, images or other signals. In order to visualize that data in …
dimensional data like text, audio, images or other signals. In order to visualize that data in …