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20th EPIA conference on Artificial Intelligence, EPIA 2021

ISBN: (纸本)9783030862299

The proceedings contain 62 papers. The special focus in this conference is on Artificial Intelligence. The topics include: The Evolution of Artificial Intelligence in Medical Informatics: A Bibliometric Analysis;Optimizing Energy Consumption of Household Appliances Using PSO and GWO;metaheuristics for Optimal Scheduling of Appliances in Energy Efficient Neighbourhoods;multitask Learning for Predicting Natural Flows: A Case Study at Paraiba do Sul River;PV Generation Forecasting Model for Energy Management in Buildings;automatic Evolutionary Settings of Machine Learning Methods for Buildings’ Thermal Loads Prediction;minimising Fleet Times in Multi-depot Pickup and Dropoff Problems;solving a Bilevel Problem with Station Location and Vehicle Routing Using Variable Neighborhood Descent and Ant Colony Optimization;genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface;FERMAT: Feature engineering with Grammatical Evolution;Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach;a Reputation Score Proposal for Online Video Platforms;a Reinforcement Learning Approach to Improve User Achievement of Health-Related Goals;urban human Mobility modelling and Prediction: Impact of Comfort and Well-Being Indicators;comparison of Transfer Learning behaviour in Violence Detection with Different Public Datasets;deep Neural Network Architectures for Speech Deception Detection: A Brief Survey;3DSRASG: 3D Scene Retrieval and Augmentation Using Semantic Graphs;revisiting "Recurrent World Models Facilitate Policy Evolution";Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL;The DeepONets for Finance: An Approach to Calibrate the Heston Model;Faster Than LASER - Towards Stream Reasoning with Deep Neural Networks;tomato Detection Using Deep Learning for Robotics Application;towards Top-Up Prediction on Telco Operators.

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An invisible DWT watermarking algorithm using noise removal with application to dermoscopic images 9

An invisible DWT watermarking algorithm using noise removal ...

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9th International conference on mathematical Modeling in Physical Sciences, IC-MSQUARE 2020

作者： Moldovanu, S. Michis, F.A. Moraru, L. Dunarea de Jos University of Galati Department of Computer Science and Information Technology Faculty of Automation Computers Sciences Electronics and Electrical Engineering 2 Stiintei Street GalatiRO-800210 Romania Department of Chemistry Physics and Environment Faculty of Sciences and Environment Dunarea de Jos University of Galati 47 Domneasca Street Galati800008 Romania Dunarea de Jos University of Galati Modelling and Simulation Laboratory Galati Romania

A new approach for the digital watermarking process is proposed to be part of the pre-processing stage of a computer-aided diagnosis system. We propose to embed a denoised image acting as the watermark image in the original host image with the final goal of improving the quality of demoscopic images for further image processing operation related to CAD. The proposed algorithm uses Discrete Wavelet Transform (DWT) corroborated with some basic properties of human Visual System such as Contrast Sensitive Function (CSF) and Noise Visibility Function (NVF) with the goal of correlating the texture properties and noise. This approach hides the watermark (i.e. denoised version of the host image) in high-pass subbands that are focused on image features. The main concern is to evaluate the distortion produced to the host image by watermarking and an objective quality measure function, i.e. Weighted Peak Signal-to-Noise Ratio (WPSNR), is used to evaluate the existing differences between the original and watermarked images. The proposed approach is tested using the available skin lesion images from the digital image archive of the Department of Dermatology of the University Medical Center Groningen. The experiment results show the improved performance of the proposed scheme against a 3 × 3 median filtering attack in comparison with the a 5 × 5 median filtering attack. © Published under licence by IOP Publishing Ltd.

关键词： Discrete wavelet transforms

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modelling merging behaviour joining a cooperative adaptive cruise control platoon

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IET INTELLIGENT TRANSPORT SYSTEMS 2020年第7期14卷 693-701页

作者： Hu, Jia Wang, Haoran Li, Xin Li, Xinghua Tongji Univ Key Lab Rd & Traff Engn Minist Educ 4800 Caoan Rd Shanghai Peoples R China Dalian Maritime Univ Coll Transportat Engn 1 Linghai Rd Dalian Peoples R China

Cooperative adaptive cruise control (CACC) has shown great potential in improving freeway capacity. Although the benefit of CACC is obvious, its potential side effects are not yet well studied. One of the major factors that have been overlooked is merging behaviour. A driving simulator study has been recently conducted at the Federal Highway Administration of the United States and reveals that there is unique driving behaviour when joining and leaving a CACC platoon. Unlike the conventional merging model which is a passive decision action, merging into a CACC platoon is a proactive action. Without simulating this unique behaviour, any simulation evaluation on CACC is biased. To improve the validity of future CACC simulation evaluation, this research constructs a merging model. The model consists of two parts: the longitudinal trajectory model and the merging duration prediction model. The model was constructed for both human manual driver and CACC automated controller. The evaluation of the proposed model shows that the model is 96.5% accurate in terms of merging duration prediction and 95.2% accurate in terms of speed prediction.

关键词： road vehicles road traffic road safety adaptive control traffic control road accidents collision avoidance road traffic control traffic engineering computing adaptive cruise control platoon freeway capacity potential side effects driving simulator study Federal Highway Administration United States unique driving behaviour CACC platoon conventional merging model passive decision action proactive action unique behaviour future CACC simulation evaluation longitudinal trajectory model merging duration prediction model CACC automated controller

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Intuitionistic Fuzzy Assessments of the Abdominal Aorta and Its Branches

Intuitionistic Fuzzy Assessments of the Abdominal Aorta and ...

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International conference on Intelligent and Fuzzy Systems, INFUS 2020

作者： Vasilev, Valetin Sotirova, Evdokia Atanassov, Krassimir Sotirov, Sotir Prof. Dr. Assen Zlatarov University "Prof. Yakimov" Blvd. Burgas8010 Bulgaria Department of Bioinformatics and Mathematical Modelling Institute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences Acad. G. Bonchev Str. Bl. 105 Sofia1113 Bulgaria

ISBN: (纸本)9783030511555

The human body is an open stationary system and has different adaptation mechanisms in changing conditions of the external and internal environment. In this aspect there is no exception to the circulatory system, respectively the arteries of the lower limbs. The narrowed or blocked arteries reduce blood flow to the lower limbs. In this case, the blood flows through the smaller blood vessels and the anastomoses (connections) between them above and below the thrombosis of the main vessel. In this research, an approach using an intelligent tool for analyzing data through fuzzy logic is presented. The intuitionistic fuzzy assessments for the blood supply evaluation of the lower limbs with peripheral artery disease are suggested. The permeability of the artery is within a certain range, limited by the minimum and maximum thresholds. The intuitionistic fuzzy evaluations determine the degree of permeability of the artery. They are formed on the basis of a set of intuitionistic fuzzy estimations of real numbers from the set [0, 1] × [0, 1]. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Intelligent systems

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Analysis of country based some epidemic models on COVID-19: A review

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AIP conference Proceedings 2024年第1期3139卷

作者： Smita R Pidurkar Seema Raut G H Raisoni University Amravati India G H Raisoni College Of Engineering Nagpur India G H Raisoni Institute of Engineering and Technology Nagpur India

The world is still struggling with a substantial loss of human life as a outcome caused by COVID-19. For futuristic purpose of wellbeingness of human life it’s important to study such type of pathogen in an authentic manner using mathematical modelling. In this study some mathematical prediction models based on data from nations, including China, Italy, France, India, Iran and Turkey are reviewed. It was observed that researchers presented a model in number of ways for projecting COVID findings. It was also observed that result from trained data correlate to a great extent albeit not fully to the test data. Finally, several potential futuristic techniques for improving model efficacy are proposed.

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Predicting ‘food supply’ levels in hollow fiber membrane bioreactors for growing bone tissue cells: Let mathematical modelling help!

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AIP conference Proceedings 2023年第1期2703卷

作者： Norazharuddin Shah Abdullah School of Materials and Mineral Resources Engineering Universiti Sains Malaysia Engineering Campus 14300 Nibong Tebal Pulau Pinang Malaysia Frontier Materials Research Centre of Excellence (FrontMate) Universiti Malaysia Perlis (UniMAP) Perlis Malaysia

Growing engineered three-dimensional soft bone tissue constructs (SBTCs) in bioreactors is a dream of bone tissue engineering (BTE). These engineered SBTCs may be used to replace dysfunctional bones in the human body through surgical means. However, growing such constructs of clinical value is not trivial. It is believed that the initial hurdle is understanding the transport phenomena in such bioreactors. The transport on-goings such as fluid flow, nutrient transfer (and consumption) shall govern nutrient supply; this arguably being the prerequisite of ample ‘food supply’, to support cell growth and density, in order to attain clinically viable SBTCs. However, as the bioreactors are relatively small and operate under stringent conditions, in-situ measurements of transport behaviour or nutrient concentration levels are almost impossible. One may opt for multiple bioreactor sacrifice or probe insertions to obtain desired measurements. However, these actions are not cost effective, time consuming and unpractical. These issues have been somewhat resolved using computational modelling. This paper presents a preliminary attempt in utilizing a mathematical framework and computational modelling to predict fluid flow and nutrient transport on-goings in a typical hollow fiber membrane bioreactor (HFMB). A transient mathematical framework is introduced to represent transport phenomena and simulate concentration levels of oxygen and glucose throughout the HFMB. These numerical trials shall be able to initially estimate nutrient limitations at various conditions, clarifying the quantitative relationships between nutrient transport (levels), and both the operational and design parameters of a typical HFMB.

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On the nonlocal computational modelling of damage in brittle and quasi-brittle materials 24

On the nonlocal computational modelling of damage in brittle...

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24th International conference on Circuits, Systems, Communications and Computers, CSCC 2020

作者： Vala, Jiri Kozak, Vladislav Jarosova, Petra Institute of Mathematics and Descriptive Geometry Brno University of Technology Faculty of Civil Engineering Brno Czech Republic Institute of Physics of Materials Czech Academy of Sciences Brno Czech Republic Secondary Vocational School Hustopece Czech Republic

ISBN: (纸本)9781728165035

Computational prediction of progressive micro-cracking, observed namely in brittle and quasi-brittle materials, resulting in their softening behaviour, needs some regularization approach. Its social relevance increases with the massive application of steel fibre-reinforced concrete and similar composites in buildings and engineering structures. However, most approaches contain ad hoc computational procedures and tricks, without a proper mathematical existence and convergence analysis for the time development of damage. This paper demonstrates the possibility of such analysis, at least for a simplified model problem of structural dynamics, with numerous references to available generalizations and some application examples. © 2020 IEEE.

关键词： Structural dynamics

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modelling the influence of room orientation and care type on differences in norovirus exposure via an air-surface interface transmission route 16

Modelling the influence of room orientation and care type on...

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16th conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020

作者： Wilson, Amanda M. King, Marco-Felipe Clifton, Ian Proctor, Jessica Reynolds, Kelly A. Noakes, Catherine J. Department of Community Environment and Policy University of Arizona United States School of Civil Engineering University of Leeds United Kingdom The Leeds Regional Adult Cystic Fibrosis Centre St James's University Hospital Leeds Teaching Hospital NHS Trust United Kingdom

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Noise Tolerance of Online Self-Tuning Mechanism for Model-Free Vibration Controller Based on a Virtual Controlled Object

Noise Tolerance of Online Self-Tuning Mechanism for Model-Fr...

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International conference on Control, Mechatronics and Automation (ICCMA)

作者： Ansei Yonezawa Heisei Yonezawa Itsuro Kajiwara Division of Human Mechanical Systems and Design Hokkaido University Hokkaido Japan Division of Mechanical and Aerospace Engineering Hokkaido University Hokkaido Japan

ISBN: (纸本)9781665490498

This study presents an adaptive self-tuning vibration control scheme. This method can be constructed without controlled object modelling and the self-tuning scheme has strong noise tolerance. A state equation to design a model-free controller is derived by introducing a virtual controlled object (VCO), which is a single-degree-of-freedom system, between an actuator model and an actual controlled object. A VCO-based model-free linear quadratic regulator (VCO-LQR) is designed using the state equation. The VCO-based adaptive control is established by combining the VCO-LQR with an online self-tuning mechanism based on measured outputs and the simultaneous perturbation stochastic approximation (SPSA). The VCO- and the SPSA-based adaptive vibration suppression method is extremely simple due to the VCO-based controller design and the SPSA- and measurement-based self-tuning scheme. Moreover, this self-tuning mechanism has strong noise tolerance because the SPSA can be driven by noisy loss function measurements. The damping performance and noise tolerance of the self-tuning scheme are demonstrated via vibration control simulations.

关键词： Vibrations Adaptation models Voltage-controlled oscillators Perturbation methods Stochastic processes Vibration measurement mathematical models

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mathematical modelling of human cardiovascular-respiratory system

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AIP conference Proceedings 2024年第1期3161卷

作者： A. Mukil S. B. Mohan R. Abdulla S. Sivanesan School of Engineering Asia Pacific University of Technology & Innovation Kuala Lumpur Malaysia 57000 Associate Professor Department of ECE S.A. Engineering College Chennai Tamil Nadu India

The use of computational modelling to study the cardiovascular system has a great deal of potential, but it is also a significant problem that calls for expertise in a wide range of disciplines. This article’s goal is to present a synopsis of the most current developments that have been made in the field of cardiovascular structural modelling. These developments include the development of numerical techniques, primary constitutive models, and modelling methodologies that can describe cardiovascular structures and diseases throughout a wide range of length and timelines. The purpose of this article is to act as an approachable point of reference for those who are new to the topic. The presentation begins with a general review of the models were first developed for one application and scale may be utilised for an expanding variety of applications that are quite similar to one another.

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