Search Results - "Jelali, Mohieddine"

Deep learning networks-based tomato disease and pest detection: a first review of research studies using real field datasets by Jelali, Mohieddine

“…Recent advances in deep neural networks in terms of convolutional neural networks (CNNs) have enabled researchers to significantly improve the accuracy and…”
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An overview of control performance assessment technology and industrial applications by Jelali, Mohieddine

“…A review of the current status in control performance assessment (CPA) technology and industrial applications is presented. Merits and drawbacks of each CPA…”
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The current state of control loop performance monitoring – A survey of application in industry by Bauer, Margret, Horch, Alexander, Xie, Lei, Jelali, Mohieddine, Thornhill, Nina

“…Control loop performance monitoring (CPM) in industrial production processes is an established area of research for which many methods to detect malfunctioning…”
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A Comparative Study on Recent Progress of Machine Learning-Based Human Activity Recognition with Radar by Papadopoulos, Konstantinos, Jelali, Mohieddine

“…The importance of radar-based human activity recognition has increased significantly over the last two decades in safety and smart surveillance applications…”
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A brief review and a first application of time-frequency-based analysis methods for monitoring of strip rolling mills by Rother, Astrid, Jelali, Mohieddine, Söffker, Dirk

“…To reduce downtimes and extend the lifetime of components, fault detection and identification become more important in production plants. Sensors and other…”
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Estimation of valve stiction in control loops using separable least-squares and global search algorithms by Jelali, Mohieddine

“…This contribution presents a new procedure for quantifying valve stiction in control loops based on global optimisation. Measurements of the controlled…”
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Performance assessment of control systems in rolling mills – application to strip thickness and flatness control by Jelali, Mohieddine

“…This contribution takes the control performance monitoring (CPM) technology into a new industrial area, the metal processing, where not much work has been done…”
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Risk Factors for Pressure Injuries in Adult Patients: A Narrative Synthesis by Chung, Man-Long, Widdel, Manuel, Kirchhoff, Julian, Sellin, Julia, Jelali, Mohieddine, Geiser, Franziska, Mücke, Martin, Conrad, Rupert

“…Pressure injuries remain a serious health complication for patients and nursing staff. Evidence from the past decade has not been analysed through narrative…”
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Innovative machine learning based approach for reliable and accurate measurement of guide roll alignment in continuous casting plants by Rosenthal, Robert, Gerz, Fabian, Al-Shrouf, Loui, Jelali, Mohieddine

“…Continuous casting (strand casting) is the leading-edge technology in modern steel production. Even slight improvements of the casting process offer a range of…”
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Risk factors for pressure ulcers in adult patients: A meta‐analysis on sociodemographic factors and the Braden scale by Chung, Man‐Long, Widdel, Manuel, Kirchhoff, Julian, Sellin, Julia, Jelali, Mohieddine, Geiser, Franziska, Mücke, Martin, Conrad, Rupert

“…Aims and objectives Providing the first meta‐analysis of risk factors for pressure ulcer development in adult patients. Background Pressure ulcers remain a…”
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Improved Temperature Monitoring and Control of Production Lines in Casting through BaSyx Framework and Edge Intelligence by Denker, Joachim, Iannino, Vincenzo, Laudenberg, Christian, Tenner, Alfred, Jelali, Mohieddine, Daun, Marvin

“…Metal production is still permeated by brown-field environments, which are continuously becoming increasingly digitized. Therefore, smart and superordinate…”
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A Comparative Study and a New Industrial Platform for Decentralized Anomaly Detection Using Machine Learning Algorithms by Gerz, Fabian, Basturk, Tolga Renan, Kirchhoff, Julian, Denker, Joachim, Al-Shrouf, Loui, Jelali, Mohieddine

“…The occurrence of anomalies and unexpected, process-related faults is a major problem for manufacturing systems, which has a significant impact on product…”
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An approach to recursive subspace identification by Bathelt, Andreas, Soffker, Dirk, Jelali, Mohieddine

“…In this paper, an approach to recursive subspace identification based on the coordinate-free framework of subspace identification is proposed. Herein, the…”
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Explicit models of thickness profile and tension stress distribution for process control applications by Jelali, Mohieddine

“…This contribution aims to present a compact and efficient model for the calculation of strip thickness profile and shape which refers to the tension stress…”
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An algorithm combining the subspace identification methods ORT and CCA by Bathelt, Andreas, Soffker, Dirk, Jelali, Mohieddine

“…A recent identification study using the Tennessee Eastman Process model revealed that the MOESP-based (multiple-input multiple-output output error state space)…”
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Nonlinear identification of hydraulic servo-drive systems by Jelali, M., Schwarz, H.

“…This article deals with the identification of nonlinear models in observer canonical form of hydraulic servo-drives from sampled data of input-output…”
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