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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Mastrostefano, Enrico Ravoni, Alessandro Onofri, Elia Tieri, Paolo Castiglione, Filippo National Research Council Institute for Applied Computing 'Mauro Picone' Rome Italy University of Roma Tre Dept. Mathematics and Physics Rome Italy Technology Innovation Institute Biotechnology Research Center Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350337488

The importance of the immune system (IS) in tuberculosis (TB) drug development is often underestimated because of the intricate nature of experiments and the specialized knowledge needed. In vitro and animal studies fall short in replicating the intricate reactions of the human IS to drugs and infections. In this study, we present our initial efforts in employing an in silico approach to comprehend how an individual's IS impacts the efficacy of therapy, particularly in managing mycobacterium tuberculosis (Mtb) infection and minimizing the risk of relapse. We employed a well-established agent-based IS simulator called C-IMMSIM. We conducted simulations to investigate the long-term outcomes of TB disease in a virtual cohort infected with Mtb over a 50-year period. Our simulations revealed that individuals with competent IS showed a high success rate in containing Mtb infection. Furthermore, to better understand the dynamic interactions between Mtb and the IS, we deliberately introduced specific IS deficiencies, thus successfully inducing short-term relapses and mortality. These results confirm the model's ability to elucidate the mechanisms underlying the interactions between Mtb and the IS. © 2023 IEEE.

关键词： C-IMMSIM epidemiological distribution in-silico modelling Mycobacterium tuberculosis pathogen-drug interaction

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Towards new realities: Implications of personalized online layers in our daily lives

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i-com 2024年第2期23卷 221-229页

作者： Herder, Eelco Stojko, Laura Strecker, Jannis Neumayr, Thomas Yigitbas, Enes Augstein, Mirjam Department of Information and Computing Sciences Utrecht University Utrecht Netherlands Department of Computer Science University of the Bundeswehr Munich Neubiberg Germany Institute of Computer Science University of St. Gallen St. Gallen Switzerland Research Group Personalized Environments and Collaborative Systems University of Applied Sciences Upper Austria Hagenberg Austria Faculty of Electrical Engineering Computer Science and Mathematics Paderborn University Paderborn Germany

We are currently in a period of upheaval, as many new technologies are emerging that open up new possibilities to shape our everyday lives. Particularly, within the field of Personalized Human-Computer Interaction we observe high potential, but also challenges. In this article, we explore how an increasing amount of online services and tools not only further facilitates our lives, but also shapes our lives and how we perceive our environments. For this purpose, we adopt the metaphor of personalized 'online layers' and show how these layers are and will be interwoven with the lives that we live in the 'human layer' of the real world. © 2024 the author(s), published by De Gruyter, Berlin/Boston.

关键词： Human computer interaction

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A Dynamic Approach for Handling UAV in Crowded Environment Using Deep Q-Networks 4

A Dynamic Approach for Handling UAV in Crowded Environment U...

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4th IEEE Global Conference for Advancement in Technology, GCAT 2023

作者： Upadhyay, Yash Gahlawat, Muskan Nivetha, S. Rana, Saurabh Natarajan, B. Gupta, Pratik Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai601103 India Department of Mathematics Chandigarh University India Department of Computer Science and Engineering RVS College of Engineering & Technology Coimbatore641402 India Amrita Vishwa Vidyapeetham Chennai601103 India Department of Applied Mathematics Gautam Buddha University Noida India

ISBN: (纸本)9798350305258

The demand for wireless connections is rising, and the advent of mobile internet has sparked a hunt for fresh, creative ways to expand the capacity and reach of cellular networks. One strategy to provide ground mobile users with long-term communication coverage is to employ Unmanned Aerial vehicles (UAV) as mobile base stations. The proposed method incorporates a Deep Reinforcement Learning (DRL) method to address the challenges that persist with traditional approaches. We introduced Deep Q-Learning with an attention mechanism-based multi-agent model to develop an energy-efficient control system for UAVs in cellular networks. Due to the proposed strategy's dynamic nature, it efficiently handles the crowded environment by resolving scalability and mobility issues. The researchers evaluated the proposed model using the benchmark dataset, producing promising results. Further, the researchers tested the proposed model using the sum rate metric to analyze the capability of the proposed algorithm to provide a reasonable throughput rate. © 2023 IEEE.

关键词： Cellular Communication Convolutional Neural Network Deep Q-Networks Deep Reinforcement Learning Deployment Optimization Energy Consumption Optimum Transport Target Network Unmanned Aerial Vehicle

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Simulation of the Flow near a Rotating Propeller on Adaptive Unstructured Meshes Using the Immersed Boundary Method

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Mathematical Models and Computer Simulations 2022年第2期14卷 224-240页

作者： Tsvetkova, V.O. Abalakin, I.V. Bobkov, V.G. Zhdanova, N.S. Kozubskaya, T.K. Kudryavtseva, L.N. Keldysh Institute of Applied Mathematics Russian Academy of Sciences Moscow Russian Federation Dorodnitsyn Computing Center Federal Research Center “Computer Science and Control” Russian Academy of Sciences Moscow Russian Federation

Abstract: A method is presented for modeling the flow of a viscous compressible gas around a moving body on a simply connected unstructured mesh, which is possible when using the immersed boundary method, and the features of its application for calculating the flow around a rotating propeller. An important part of the method is the adaptation of a mobile mesh that retains its topology to the surface of the streamlined body. The position and shape of the body are specified by an interpolation mesh, which stores the distance to the body surface and the normal to the surface. The method is used to calculate the flow around a propeller rotating in a flow. The problem is considered in a two-dimensional setting. The shape of the propeller has areas of high curvature that require a special approach when adapting to the boundaries. The results of calculating the problem of the flow around a rotating propeller and a number of auxiliary problems considered in order to verify the developed method are presented. © 2022, Pleiades Publishing, Ltd.

关键词： computational gas dynamics immersed boundary method interpolation mesh mesh adaptation movable mesh rotating propeller unstructured mesh

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Reservoir computing with Error Correction: Long-term Behaviors of Stochastic Dynamical Systems

arXiv

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arXiv 2023年

作者： Fang, Cheng Lu, Yubin Gao, Ting Duan, Jinqiao School of Mathematics and Statistics Center for Mathematical Sciences Huazhong University of Science and Technology Hubei Wuhan430074 China Department of Applied Mathematics College of Computing Illinois Institute of Technology ChicagoIL60616 United States Department of Mathematics Department of Physics Great Bay University Guangdong Dongguan523000 China

The prediction of stochastic dynamical systems and the capture of dynamical behaviors are profound problems. In this article, we propose a data-driven framework combining Reservoir computing and Normalizing Flow to study this issue, which mimics error modeling to improve traditional Reservoir computing performance and integrates the virtues of both approaches. With few assumptions about the underlying stochastic dynamical systems, this model-free method successfully predicts the long-term evolution of stochastic dynamical systems and replicates dynamical behaviors. We verify the effectiveness of the proposed framework in several experiments, including the stochastic Van der Pal oscillator, El Niño-Southern Oscillation simplified model, and stochastic Lorenz system. These experiments consist of Markov/non-Markov and stationary/non-stationary stochastic processes which are defined by linear/nonlinear stochastic differential equations or stochastic delay differential equations. Additionally, we explore the noise-induced tipping phenomenon, relaxation oscillation, stochastic mixed-mode oscillation, and replication of the strange attractor. Copyright © 2023, The Authors. All rights reserved.

关键词： Error correction

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Faster, Deterministic and Space Efficient Subtrajectory Clustering

arXiv

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arXiv 2024年

作者： van der Hoog, Ivor van der Horst, Thijs Ophelders, Tim Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark Department of Information and Computing Sciences Utrecht University Netherlands Department of Mathematics and Computer Science TU Eindhoven Netherlands

Given a trajectory T and a distance ∆, we wish to find a set C of curves of complexity at most , such that we can cover T with subcurves that each are within Fréchet distance ∆ to at least one curve in C. We call C an (, ∆)-clustering and aim to find an (, ∆)-clustering of minimum cardinality. This problem variant was introduced by Akitaya et al. (2021) and shown to be NP-complete. The main focus has therefore been on bicriterial approximation algorithms, allowing for the clustering to be an (, Θ(∆))-clustering of roughly optimal size. We present algorithms that construct (, 4∆)-clusterings of O(k log n) size, where k is the size of the optimal (, ∆)-clustering. We use O(n log2 n + n · (k + ) log n) space and O(kn3 log4 n) time. Our algorithms significantly improve upon the clustering quality (improving the approximation factor in ∆) and size (whenever ∈ Ω(log n)). We offer deterministic running times comparable to known expected bounds. Additionally, we give a near-quadratic improvement upon the dependency on n in the space usage. © 2024, CC BY.

关键词： Approximation algorithms

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A Fast Exponential Analysis and Variable Projection Based Method for Linear Array Synthesis

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IEEE Antennas and Wireless Propagation Letters 2025年第6期24卷 1527-1531页

作者： Sengupta, Ramonika Knaepkens, Ferre Cuyt, Annie Prinsloo, David S. Schäfer, Thomas Smolders, A. Bart Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Faculty of Applied Engineering University of Antwerp Groenenborgerlaan 171 Antwerp2020 Belgium Computing Science and Mathematics Division University of Stirling Scotland StirlingFK9 4LA United Kingdom ASTRON Dwindloo Oude Hoogeveensedjik 4 7991 PD Netherlands SATCUBE Nellickevägen 22 Gothenburg41263 Sweden

This paper presents a fast exponential analysis and variable projection method to reduce the number of elements in linear phased arrays. The numerical examples given in this work demonstrate a reduction of approximately 20% or 10% in the number of elements, with only a slight decrease in directivity of 0.63 dBi observed for a scan range of [−45◦, 45◦]. Compared to the combined matrix pencil and Tabu search algorithm, the proposed technique converges in fewer iterations and exhibits ≈ 5 dB reduction in maximum side lobe level. © 2002-2011 IEEE All rights reserved.

关键词： Antenna phased arrays

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ON NON-REFLECTIVE BOUNDARIES FOR OUTDOOR SOUND PROPAGATION USING THE DISCONTINUOUS GALERKIN METHOD 10

ON NON-REFLECTIVE BOUNDARIES FOR OUTDOOR SOUND PROPAGATION U...

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10th Convention of the European Acoustics Association, EAA 2023

作者： Feriani, Sophia Julia Engsig-Karup, Allan P. Pind, Finnur Cosnefroy, Matthias Jeong, Cheol-Ho Acoustic Technology Department of Electrical and Photonics Engineering Technical University of Denmark Denmark Scientific Computing Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark Treble Technologies Hafnartorg Kalkofnsvegur 2 Reykjavík101 Iceland

ISBN: (纸本)9788888942674

In environmental acoustics, sound propagates in open air and can be mathematically modelled in terms of a semi-infinite domain. The calculations for accurate numerical solutions for outdoor acoustics are computationally heavy when the chosen computation domain is large enough to fulfil the Sommerfeld radiation condition. To lower the computational cost, the domain must therefore be truncated to not significantly impact the numerical solution inside the domain and allow outgoing acoustic waves to leave the domain undisturbed. Various radiation conditions (sometimes considering the wind) have been developed to achieve this goal such as the Perfectly Matched Layer method. The aim of this study is to compare the accuracy of different non-reflecting boundaries using the high-order nodal discontinuous Galerkin finite element method (DG-FEM) for the case of an acoustic pulse propagating in a static and moving medium in an unstructured mesh. For each boundary treatment, the tunable parameters of the methods are defined to balance accuracy and computational cost. © 2023 S.J. Feriani et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

关键词： Galerkin methods

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Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) Architecture for Lung Cancer Subtype Classification

Convolutional Neural Network-Long Short-Term Memory (CNN-LST...

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Artificial Intelligence, Applications, Innovation and Ethics (AI2E), International Conference for

作者： S. Ahamed Nishath Suresh Rasappan Francis Saviour Devaraj Information Technology Department College of Computing and Information Sciences University of Technology and Applied Sciences-Ibri Ibri Sultanate of Oman Mathematics Department University of Technology and Applied Sciences-Ibri Ibri Sultanate of Oman

ISBN: (数字)9798331513733

ISBN: (纸本)9798331513740

Lung cancer is a leading cause of cancer-related deaths worldwide. Accurate classification of lung cancer subtypes is crucial for effective treatment. This study proposes a Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) architecture for classifying lung cancer subtypes: Adenocarcinoma, Squamous Cell Carcinoma, and Lymph Node involvement. Our model achieves 95.38% on a dataset LC105K of 105,000 images, outperforming traditional methods. The CNN-LSTM architecture extracts features from images and models temporal dependencies, improving classification accuracy.

关键词： Technological innovation Accuracy Squamous cell carcinoma Memory architecture Lung cancer Feature extraction Convolutional neural networks Reliability Lymph nodes Long short term memory

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Implicit augmented Lagrangian and generalized optimization

arXiv

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arXiv 2023年

作者： De Marchi, Alberto University of the Bundeswehr Munich Department of Aerospace Engineering Institute of Applied Mathematics and Scientific Computing Neubiberg85577 Germany

Generalized nonlinear programming is considered without any convexity assumption, capturing a variety of problems that include nonsmooth objectives, combinatorial structures, and set-membership nonlinear constraints. We extend the augmented Lagrangian framework to this broad problem class, preserving an implicit formulation and introducing slack variables merely as a formal device. This, however, gives rise to a generalized augmented Lagrangian function that lacks regularity, due to the marginalization with respect to slack variables. Based on parametric optimization, we develop a tailored stationarity concept to better qualify the iterates, generated as approximate solutions to a sequence of subproblems. Using this variational characterization and the lifted representation, a suitable multiplier update rule is derived, and then asymptotic properties and convergence guarantees are established for a safeguarded augmented Lagrangian scheme. An illustrative numerical example showcases the modelling versatility gained by dropping convexity assumptions and indicates the practical benefits of the advocated implicit *** Codes 65K10, 90C26, 65K05 © 2023, CC BY.

关键词： Nonlinear programming

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