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Tumor Cellularity Assessment Using Artificial Intelligence Trained on Immunohistochemistry-Restained Slides Improves Selection of Lung Adenocarcinoma Samples for Molecular Testing

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American Journal of Pathology 2025年第5期195卷 907-922页

作者： Gertych, Arkadiusz Zurek, Natalia Piaseczna, Natalia Szkaradnik, Kamil Cui, Yujie Zhang, Yi Nurzynska, Karolina Pyciński, Bartłomiej Paul, Piotr Bartczak, Artur Chmielik, Ewa Walts, Ann E. Faculty of Biomedical Engineering Silesian University of Technology Zabrze Poland Department of Pathology and Laboratory Medicine Cedars-Sinai Medical Center Los Angeles California United States Department of Surgery Cedars-Sinai Medical Center Los Angeles California United States F. Widjaja Inflammatory Bowel Disease Institute Cedars-Sinai Medical Center Los Angeles California United States Biostatistics Shared Resource Cedars-Sinai Medical Center Los Angeles California United States Biobank and Research Pathology Resource Cedars-Sinai Medical Center Los Angeles California United States Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Tumor Pathology Department Maria Sklodowska-Curie National Research Institute of Oncology Gliwice Branch Gliwice Poland Hospital for Lung Diseases “Rebirth ” Zakopane Poland

Tumor cellularity (TC) in lung adenocarcinoma slides submitted for molecular testing is important in identifying actionable mutations, but lack of best practice guidelines results in high interobserver variability in TC assessments. An artificial intelligence (AI)–based pipeline developed to assess TC in hematoxylin and eosin (H&E) whole slide images (WSIs) and in tumor areas (TAs) within WSIs includes a new model (CaBeSt-Net) trained to mask cancer cells, benign epithelial cells, stroma in H&E WSIs using immunohistochemistry-restained slides, and a model to detect all cell nuclei. High masking accuracy (>91%) by CaBeSt-Net computed using 1024 H&E regions of interest and intraclass correlation coefficient >0.97 assessing TC assessments reliability by one pathologist and AI in 20 test regions of interest supported the pipeline's applicability to TC assessment in 50 study H&E WSIs. Using the pipeline, TCs assessed in TAs and WSIs were compared with those by three pathologists. Reliabilities of these ratings by the pathologists supported by the pipeline were good (intraclass correlation coefficient >0.82, P < 0.0001). The consistency of sample categorizations as inadequate or adequate (TC ≤ 20% cut point) for molecular testing among the pathologists assessing TCs without AI support was moderate in TAs (κ = 0.410, P < 0.0001) and slight in WSIs (κ = 0.132, nonsignificant). With AI support, the consistency was substantial in both WSIs (κ = 0.602, P < 0.0001) and TAs (κ = 0.704, P < 0.0001). By visualizing cancer and measuring TC in the sample, this novel AI-based pipeline assists pathologists in selecting samples for molecular testing. © 2025 American Society for Investigative Pathology

关键词： artificial intelligence computational pathology immunohistochemical staining lung adenocarcinoma restained slides tumor burden tumor cellularity assessment

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Finite element simulation of a flexible manipulator-part 2: Parallel processing techniques

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Journal of Low Frequency Noise Vibration and Active control 1999年第3期18.0卷 149-166页

作者： Tokhi, M.O. Shaheed, M.H. Ramos-Hernandez, D.N. Poerwanto, H. Department of Automatic Control and Systems Engineering The University of Sheffield UK

This paper presents an investigation into the performance evaluation of homogeneous and heterogeneous parallel architectures in the real-time implementation of finite element (FE) simulation algorithm of a flexible manipulator. The algorithm is implemented on a number of homogeneous and heterogeneous architectures incorporating high-performance processors. The partitioning and mapping of the algorithms on both the homogeneous and heterogeneous architectures are investigated and finally a comparative assessment of the performance of the architectures in implementing the algorithm revealing the capabilities of the architectures in relation to the nature of the algorithm is presented in terms of execution time and speedup.

关键词： Finite element method Flexible manipulator Heterogeneous architectures Homogeneous architectures Parallel processing Performance metrics Simulation Speedup Task to processor allocation

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ORTHOGONAL LEAST-SQUARES PARAMETER-ESTIMATION ALGORITHMS FOR NONLINEAR STOCHASTIC-systems

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INTERNATIONAL JOURNAL OF systems SCIENCE 1992年第7期23卷 1019-1032页

作者： BILLINGS, SA JONES, GN Department of Automatic Control and Systems Engineering The University Sheffield SI 3JD Mappin Street United Kingdom

The derivations of orthogonal least-squares algorithms based on the principle of Hsia's method and generalized least-squares are presented. Extensions to the case of non-linear stochastic systems are discussed and the performance of the algorithms is illustrated with the identification of both simulated systems and linear models of an electric arc furnace and a gas furnace.

关键词： Gas furnaces

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Finite element simulation of a flexible manipulator part 1: Sequential processing techniques

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Journal of Low Frequency Noise Vibration and Active control 1999年第4期18卷 191-205页

作者： Tokhi, M.O. Shaheed, M.H. Ramos-Hernandez, D.N. Poerwanto, H. Department of Automatic Control and Systems Engineering The University of Sheffield UK

The performance demands in modern signal processing and control applications have motivated a trend towards utilisation of complex algorithms. This, in turn, has resulted in a resurgence in the development of high performance systems to make the real-time realisation of such algorithms feasible in practice. This paper presents an investigation into the performance of sequential architectures/uni-processor based systems in the real-time implementation of finite element algorithm of a flexible manipulator. The algorithm is implemented on a number of high-performance processors. A comparative assessment of the performance of the processors in implementing the algorithm, revealing the capabilities of the processors in relation to the nature of the algorithm, is presented in terms of execution time and speedup. The effect of compiler optimisation facilities on the execution time in implementing the algorithm is also demonstrated.

关键词： Finite element method Flexible manipulator Performance evaluation Performance metrics Sequential processing Simulation Speedup

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Active noise control using radial basis function networks

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control engineering PRACTICE 1997年第9期5卷 1311-1322页

作者： Tokhi, MO Wood, R Department of Automatic Control and Systems Engineering The Unviersity of Sheffield Mappin Street Sheffield S1 MD UK

This paper presents the development of a neuro-adaptive active noise control (ANC) system. Radial basis function neural networks with an orthogonal forward regression algorithm are considered in both the modelling and control contexts. A feedforward ANC structure is considered for optimum cancellation of broadband noise in a three-dimensional propagation medium. An on-line adaptation and training mechanism allowing a neural-network architecture to characterise the optimal controller within the ANC system is developed. The neuro-adaptive ANC algorithm thus developed is implemented within a free-field environment,and simulation results verifying its performance are presented and discussed. Copyright (C) 1997 Elsevier Science Ltd.

关键词： active noise control adaptive control neural networks orthogonal forward regression radial basis functions self-tuning control

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PERFORMANCE MONITORING IN NONLINEAR ADAPTIVE NOISE CANCELLATION

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JOURNAL OF SOUND AND VIBRATION 1992年第1期157卷 161-175页

作者： BILLINGS, SA ALTURKI, FA Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 4DU England

Correlation-based model validity tests are introduced to monitor the operation of non-linear adaptive noise cancellation filters and to detect whether the filters are operating correctly or incorrectly. The tests are derived for a NARMAX (Non-linear Autor-Regressive Moving Average model with eXogenous inputs) filter design based on a Sub-Optimal Least Squares (SOLS) estimation algorithm. Simulation studies are included to illustrate the performance of the new tests.

关键词： Signal processing

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ON THE ROBUSTNESS OF LOW-ORDER SCHUR POLYNOMIALS

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IEEE TRANSACTIONS ON CIRCUITS AND systems 1988年第5期35卷 570-577页

作者： KRAUS, FJ ANDERSON, BDO JURY, EI MANSOUR, M Institute of Automatic Control ETH Zurich Zurich Switzerland Department of Systems Engineering Australian National University Canberra ACT Australia Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA

Robust Schur stability conditions are obtained for polynomials of orders two to five. For n=2 and 3, the conditions obtained are related to stability of the corner points, while for n=4 and 5, the conditions are related to stability of corner and possible supplementary points. The number of points increases substantially as the polynomial order increases. The obtained results are of importance in the robust design of control systems. The difficulty in extending the approach to higher-order polynomials is discussed. Special cases for such extensions are mentioned. Further applications of the results obtained may be of use in the stability study of two-dimensional systems. Some examples for the application of the stability conditions are given and, in particular, the two counterexamples presented in the literature are discussed.

关键词： low-order Multidimensional systems control systems higher-order Polynomial Steady state stability study corners Point of inflexion Robustness

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Enhanced Voltage Stability for DC Microgrids Integrating Hybrid Electric Vehicles with Virtual Inertia and Damping control

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Transportation Research Procedia 2025年 84卷 571-578页

作者： Hossam Ali Mohamed Zaery Syed Muhammad Amrr S.M. Suhail Hussain Vijay Vital Mohammad A. Abido Department of Electrical Engineering Faculty of Energy Engineering Aswan University 81528 Aswan Egypt School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85281 USA K.A.CARE Energy Research & Innovation Center King Fahd University of Petroleum and Minerals (KFUPM) Dhahran 31261 Saudi Arabia Control & Instrumentation Engineering Department KFUPM Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems KFUPM Dhahran 31261 Saudi Arabia Electrical Engineering Department King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence KFUPM Dhahran 31261 Saudi Arabia

DC microgrids (MGs) have experienced swift growth, driven by the expanding integration of energy storage devices(ESD), renewable energy sources (RESs), and localized loads. However, it suffers from insufficient inertia owing to less rotating mass sources, which can lead to poor voltage stability. This paper introduces a control method that emulates both inertia and damping to mitigate fluctuations in DC voltage, enhance system stability, and address the low inertia concern. The proposed virtual inertia and damping (VID) control system is adopted through using hybrid electric vehicle (HEV). The suggested HEV comprises three power sources: a battery, a fuel cell (FC), and a supercapacitor (SC). In this setup, both the battery and the FC are employed to supply virtual damping owing to their high-energy density, and the SC is utilized to support virtual inertial characteristics due to its high-power density. Through this approach, enhancements in the DC voltage stability of an islanded DC MG can be achieved. Simulations demonstrate that the proposed control system significantly outperforms existing works utilizing virtual inertia (VI) based on an EV’s battery only, as well as over systems lacking VI. The proposed control system effectively reduces voltage fluctuations and improves system stability, specifically in terms of the rate of change of voltage (ROCOV) and accelerated settling time.

关键词： Voltage Stability DC Microgrids Virtual Inertia Damping Hybrid Electric Vehicle Renewable Energy Sources

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DECENTRALIZED ADAPTIVE STABILIZATION OF NONLINEAR-systems

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INTERNATIONAL JOURNAL OF control 1993年第6期58卷 1445-1460页

作者： VESELY, V MURGAS, J Department of Automatic Control Systems Slovak Technical University Faculty of Electrical Engineering Bratislava Slovak Republic

Decentralized adaptive control schemes using the principle of dominant subsystems are presented for time-varying nonlinear dynamic large-scale interconnected systems. Sufficient conditions for the existence of local decentralized adaptive control laws stabilizing a given large-scale system (LSS) are derived in terms of controller parameters for incompletely known composite systems. The approach proposed in this paper is applied to nonlinear stabilizing adaptive decentralized control (ADC) of multimachine power systems. The stability of the multimachine power systems with the ADC is illustrated by the simulation results for a two machine system.

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The Unscented Kalman Filter for Nonlinear Parameter Identification of Adaptive Cruise control systems

arXiv

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arXiv 2023年第8期8卷 4094页

作者： Ampountolas, Konstantinos The Automatic Control & Autonomous Systems Laboratory Department of Mechanical Engineering University of Thessaly Volos38334 Greece

This paper develops and investigates a dual unscented Kalman filter (DUKF) for the joint nonlinear state and parameter identification of commercial adaptive cruise control (ACC) systems. Although the core functionality of stock ACC systems, including their proprietary control logic and parameters, is not publicly available, this work considers a car-following scenario with a human-driven vehicle (leader) and an ACC engaged ego vehicle (follower) that employs a constant timeheadway policy (CTHP). The objective of the DUKF is to determine the CTHP parameters of the ACC by using real-time observations of space-gap and relative velocity from the vehicle's onboard sensors. Real-time parameter identification of stock ACC systems is essential for assessing their string stability, large-scale deployment on motorways, and impact on traffic flow and throughput. In this regard, L2and L∞string stability conditions are considered. The observability rank condition for nonlinear systems is adopted to evaluate the ability of the proposed estimation scheme to estimate stock ACC system parameters using empirical data. The proposed filter is evaluated using empirical data collected from the onboard sensors of two 2019 SUV vehicles, namely Hyundai Nexo and SsangYong Rexton, equipped with stock ACC systems;and is compared with batch and recursive least-squares optimization. The set of ACC model parameters obtained from the proposed filter revealed that the commercially implemented ACC system of the considered vehicle (Hyundai Nexo) is neither L2nor L∞string stable. Copyright © 2023, The Authors. All rights reserved.

关键词： Adaptive cruise control

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