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    Chapter and Conference Paper

    A Neuro-Fuzzy Model for Fault Detection, Prediction and Analysis for a Petroleum Refinery

    The paper describes data fusion using a neuro-fuzzy system for fault detection, prediction, and analysis of petroleum refining operations and other process industries. The model described in this paper involve...

    Peter Omoarebun, David Sanders, Favour Ikwan in Intelligent Systems and Applications (2022)

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    Chapter and Conference Paper

    Intelligent Monitoring Using Hazard Identification Technique and Multi-sensor Data Fusion for Crude Distillation Column

    Hazard assessment techniques and multi-sensor fusion are used for intelligent systematic monitoring. Firstly, a hazard identification technique is considered using failure mode and effect analysis and advantag...

    Peter Omoarebun, David Sanders, Favour Ikwan in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Intelligent Control and HCI for a Powered Wheelchair Using a Simple Expert System and Ultrasonic Sensors

    Intelligent control and human computer interaction is investigated for a powered wheelchair using a simple expert system and ultrasonic sensors. The aim is to make driving easier. Signals from sensors and joys...

    David Sanders, Malik Haddad, Peter Omoarebun in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Use of the Analytical Hierarchy Process to Determine the Steering Direction for a Powered Wheelchair

    The Analytical Hierarchy Process (AHP) is utilized to propose a driving course for a powered-wheelchair. A safe route for a wheelchair is proposed by a decision-making system that aims to avoid obstacles. Two ...

    Malik Haddad, David Sanders, Mohamad Thabet in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Introducing Time-Delays to Analyze Driver Reaction Times When Using a Powered Wheelchair

    This paper investigates the introduction of time-delays into wheelchair driving. Two dissimilar ways in which wheelchair drivers interact are compared. Users were observed as they drove their wheelchairs with ...

    David Sanders, Malik Haddad, Martin Langner in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Intelligent System to Analyze Data About Powered Wheelchair Drivers

    The research presented in this paper creates an intelligent system that collects powered wheelchair users’ driving session data. The intelligent system is based on a Python programming platform. A program is c...

    Malik Haddad, David Sanders, Martin Langner in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Intelligent Risk Prediction of Storage Tank Leakage Using an Ishikawa Diagram with Probability and Impact Analysis

    Intelligent probability and impact analysis are used with an Ishikawa diagram. Causes of tank leakage events are identified. Causes were ranked and weights assigned to show their relative importance in the dia...

    Favour Ikwan, David Sanders, Malik Haddad in Intelligent Systems and Applications (2021)

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    Chapter and Conference Paper

    Using a Simple Expert System to Assist a Powered Wheelchair User

    A simple expert system is described that helps wheelchair users to drive their wheelchairs. The expert system takes data in from sensors and a joystick, identifies obstacles and then recommends a safe route. W...

    David Sanders, Ogechukwu Okono, Martin Langner in Intelligent Systems and Applications (2020)