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15th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2023 and 14th World Congress on Nature and Biologically Inspired Computing, NaBIC 2023

作者： Muthukumaran, V. Satheesh Kumar, S. Radhika, E.K. Arpana, G.K. Nalini, R. Department of Mathematics College of Engineering and Technology SRM Institute of Science and Technology Chennai India Department of Computer Science School of Applied Sciences REVA University Bangalore India Department of Computer Science Sindhi College Bangalore India Department of ECE East West College of Engineering Bangalore India

ISBN: (纸本)9783031810855

This study suggests a novel soft computing approach for enhancing face recognition performance using the feature learning methodology. The suggested system of Quasi-linear Partial Differential Equations (QPDE) based face recognition model is used to increase the accuracy of facial identification. The webcam first catches the user's image and saves it to the user's computer. The inference model receives the captured image. The input image is pre-processed to enhance the image, and then the image is split into numerous integral images at the inference model. Using speed-up robust features, an intriguing point is constructed for each integral image. The computed interest point is converted into a QPDE based weight matrix by representing the strength of features at all the regions of the face. With the generated weighted matrix of features extracted from the facial image, the method generates a Fast Artificial intelligence (AI) network with many layers. Each layer of the neural network has many neurons with dedicated functions to compute the similarity and feature weight using QPDE. The proposed approach has produced efficient results compared to earlier methods for the Flickr-Faces-HQ database (FFHQ) datasets. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Soft computing

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On the Discrete Fréchet Distance in a Graph 38

On the Discrete Fréchet Distance in a Graph

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38th International Symposium on Computational Geometry, SoCG 2022

作者： Driemel, Anne van der Hoog, Ivor Rotenberg, Eva Hausdorff Center for Mathematics Universität Bonn Germany Department of Applied Mathematics and Computer Science Technical University of Denmark Lyngby Denmark

ISBN: (纸本)9783959772273

The Fréchet distance is a well-studied similarity measure between curves that is widely used throughout computer science. Motivated by applications where curves stem from paths and walks on an underlying graph (such as a road network), we define and study the Fréchet distance for paths and walks on graphs. When provided with a distance oracle of G with O(1) query time, the classical quadratic-time dynamic program can compute the Fréchet distance between two walks P and Q in a graph G in O(|P |· |Q|) time. We show that there are situations where the graph structure helps with computing Fréchet distance: when the graph G is planar, we apply existing (approximate) distance oracles to compute a (1 + e)-approximation of the Fréchet distance between any shortest path P and any walk Q in O(|G| log |G|/ve + |P | + |Qe| ) time. We generalise this result to near-shortest paths, i.e. ?-straight paths, as we show how to compute a (1 + e)-approximation between a ?-straight path P and any walk Q in O(|G| log |G|/ve + |P | + ?|eQ| ) time. Our algorithmic results hold for both the strong and the weak discrete Fréchet distance over the shortest path metric in G. Finally, we show that additional assumptions on the input, such as our assumption on path straightness, are indeed necessary to obtain truly subquadratic running time. We provide a conditional lower bound showing that the Fréchet distance, or even its 1.01-approximation, between arbitrary paths in a weighted planar graph cannot be computed in O((|P | · |Q|)1-d) time for any d > 0 unless the Orthogonal Vector Hypothesis fails. For walks, this lower bound holds even when G is planar, unit-weight and has O(1) vertices. © Anne Driemel, Ivor van der Hoog, and Eva Rotenberg;licensed under Creative Commons License CC-BY 4.0

关键词： Graph theory

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Exploring the Impact of Carbon Emissions on Supply Chains of Imperfect Quality Items: A Game Theory Perspective 2nd

Exploring the Impact of Carbon Emissions on Supply Chains of...

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2nd Biennial International Symposium on Fluids and Thermal Engineering, FLUTE 2023

作者： Mittal, Mandeep Dhanda, Anil Raghav, Tisha Phanden, Rakesh Kumar Department of Mathematics School of Computer Science Engineering and Technology Bennett University Greater Noida India Department of Mathematics Amity Institute of Applied Sciences Amity University Uttar Pradesh Noida India Amity School of Engineering and Technology Amity University Uttar Pradesh Noida India

ISBN: (纸本)9789819731725

This research study proposes a cooperative and non-cooperative game theory strategy. The study’s objectives are to examine how carbon emissions impact the supply chain, especially in means of quality control and cost restriction, and to evaluate the effectiveness of game theory in addressing the issue. To gather and evaluate both quantitative and qualitative data for the study, a mixed-methods technique is used. The importance of reducing carbon emissions in supply chains is emphasized in the study, as are the benefits of using cooperative and non-cooperative game theory strategies to achieve this goal. The paper improves knowledge on supply chain management by offering an approach for simulating carbon emissions in a network of supply chains. The results of this study benefit supply chain management and assist academics, policymakers, and sustainability practitioners. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Game theory

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EPR-Net: constructing a non-equilibrium potential landscape via a variational force projection formulation

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National science Review 2024年第7期11卷 135-147页

作者： Yue Zhao Wei Zhang Tiejun Li Center for Data Science Peking University Zuse Institute Berlin Department of Mathematics and Computer Science Freie Universit?t Berlin Laboratory of Mathematics and Applied Mathematics(LMAM)and School of Mathematical Sciences Peking University Center for Machine Learning Research Peking University

We present EPR-Net, a novel and effective deep learning approach that tackles a crucial challenge in biophysics: constructing potential landscapes for high-dimensional non-equilibrium steady-state ***-Net leverages a nice mathematical fact that the desired negative potential gradient is simply the orthogonal projection of the driving force of the underlying dynamics in a weighted inner-product ***, our loss function has an intimate connection with the steady entropy production rate(EPR),enabling simultaneous landscape construction and EPR estimation. We introduce an enhanced learning strategy for systems with small noise, and extend our framework to include dimensionality reduction and the state-dependent diffusion coefficient case in a unified fashion. Comparative evaluations on benchmark problems demonstrate the superior accuracy, effectiveness and robustness of EPR-Net compared to existing methods. We apply our approach to challenging biophysical problems, such as an eight-dimensional(8D)limit cycle and a 52D multi-stability problem, which provide accurate solutions and interesting insights on constructed landscapes. With its versatility and power, EPR-Net offers a promising solution for diverse landscape construction problems in biophysics.

关键词： high-dimensional potential landscape non-equilibrium system entropy production rate dimensionality reduction deep learning

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Exploiting traffic seasonality for anomaly detection in IEEE 802.15.4 networks 19

Exploiting traffic seasonality for anomaly detection in IEEE...

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19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022

作者： Achour, M'Hammed Mana, Mohammed Achour, Saadi University of Tlemcen Stic Lab Department of Computer Science Tlemcen Algeria University of Laghouat Laboratory of Pure and Applied Mathematics Department of Mathematics Laghouat Algeria

ISBN: (数字)9781665471084

ISBN: (纸本)9781665471084

Traffic variation is one of the important components of the network behavior. It encopasses, explicitly and implicitly, many performance indicators such as network real bandwidth, retransmissions and error rate. Therefore, modeling the network traffic is, litterally, modeling the network behaviour. This latter could not be possible if the model misses the sea-sonality hidden in the traffic. IEEE 802.15.4 superframe alters the traffic periodicity in a deterministic way and introduces a seasonality behaviour that should be taken in consideration when studying the communication system. In this paper, we introduce an algorithm that detects anomalies in IEEE 802.15.4-based networks, by extracting the seasonality of the traffic, and then estimating the local Packet Error Rate (PER) in a sliding window to assess the divergence from actual PER. The algorithm detection rate was perfect and the false positive rate and detection accuracy were quite good for reasonable window sizes. © 2022 IEEE.

关键词： Anomaly detection

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Machine Learning Based Depression,Anxiety,and Stress Predictive Model During COVID-19 Crisis

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computers, Materials & Continua 2022年第3期70卷 5803-5820页

作者： Fahd N.Al-Wesabi Hadeel Alsolai Anwer Mustafa Hilal Manar Ahmed Hamza Mesfer Al Duhayyim Noha Negm Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Computer Science Department King Khaled UniversityKSA Faculty of Science Mathematics and Computer Science DepartmentMenoufia UniversityEgypt

Corona Virus Disease-2019(COVID-19)was reported at first in Wuhan city,China by December *** Health Organization(WHO)declared COVID-19 as a pandemic i.e.,global health crisis onMarch 11,*** outbreak of COVID-19 pandemic and subsequent lockdowns to curb the spread,not only affected the economic status of a number of countries,but it also resulted in increased levels of Depression,Anxiety,and Stress(DAS)among ***,there is a need exists to comprehend the relationship among psycho-social factors in a country that is hypothetically affected by high levels of stress and fear;with tremendously-limitingmeasures of social distancing and lockdown in force;and with high rates of new cases and *** this motivation,the current study aims at investigating theDAS levels among college students during COVID-19 lockdown since they are identified as a highly-susceptible *** current study proposes to develop Intelligent Feature Subset Selection withMachine Learning-based DAS predictive(IFSSML-DAS)*** presented IFSSML-DAS model involves data preprocessing,Feature Subset Selection(FSS),classification,and parameter ***,IFSSML-DAS model uses Group Gray Wolf Optimization based FSS(GGWO-FSS)technique to reduce the curse of *** addition,Beetle Swarm Optimization based Least Square Support Vector Machine(BSO-LSSVM)model is also employed for classification in which the weight and bias parameters of the LSSVM model are optimally adjusted using BSO *** performance of the proposed IFSSML-DAS model was tested using a benchmark DASS-21 dataset and the results were investigated under different *** outcome of the study suggests the development of specialized programs to handleDAS among population so as to overcome COVID-19 crisis.

关键词： Psycho-social factors covid-19 crisis management predictive models decision making machine learning

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Maximal planar graphs that embed as centers

arXiv

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arXiv 2024年

作者： Preez, Brandon Du Laboratory for Discrete Mathematics and Theoretical Computer Science Department of Mathematics and Applied Mathematics University of Cape Town South Africa

A maximal planar graph is a graph which can be embedded in the plane such that every face of the graph is a triangle. The center of a graph is the subgraph induced by the vertices of minimum eccentricity. We introduce the notion of quasi-eccentric vertices, and use this to characterize maximal planar graphs that are the center of some planar graph. We also present some easier to check only necessary/only sufficient conditions for planar and maximal planar graphs to be the center of a planar graph. Finally, we use the aforementioned characterization to prove that all maximal planar graphs of order at most 8 are the center of some planar graph - and this bound is *** Codes 05C12 (Primary) 05C10 (Secondary) Copyright © 2024, The Authors. All rights reserved.

关键词： Graphic methods

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U-Net Implementation for High Throughput Grain Boundary Detection in Bright Field TEM Micrographs: Toward In Situ Grain Growth Studies

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Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 2023年第1期29卷 1581-1582页

作者： Patrick, Matthew J. Eckstein, James K. Lopez, Javier Ma, Alan J. Toderas, Silvia Levine, Stacey Barmak, Katayun Department of Applied Physics and Applied Mathematics Columbia University New York NY USA Department of Physics University of Illinois -- Urbana-Champaign Champaign IL United States Department of Mechanical Engineering Columbia University New York NY USA Department of Mathematics Columbia University New York NY USA Department of Mathematics and Computer Science Duquesne University Pittsburgh PA United States

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Thermally stratified flow of hybrid nanofluids with radiative heat transport and slip mechanism: multiple solutions

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Communications in Theoretical Physics 2022年第1期74卷 142-151页

作者： Rai Sajjad Saif Hashim Maria Zaman Muhammad Ayaz Department of Humanities and Sciences School of Electrical Engineering and Computer Science(SEECS)National University of Sciences and Technology(NUST)IslamabadPakistan Department of Pure&Applied Mathematics University of Haripur22620HaripurPakistan Department of Mathematics&Statistics Riphah International University IslamabadPakistan Department of Mathematics Abdul Wali Khan UniversityMardan23200Pakistan

Research on flow and heat transfer of hybrid nanofluids has gained great significance due to their efficient heat transfer *** fact,hybrid nanofluids are a novel type of fluid designed to enhance heat transfer rate and have a wide range of engineering and industrial *** by this evolution,a theoretical analysis is performed to explore the flow and heat transport characteristics of Cu/Al_(2)O_(3) hybrid nanofluids driven by a stretching/shrinking ***,this work focuses on the physical impacts of thermal stratification as well as thermal radiation during hybrid nanofluid flow in the presence of a velocity slip *** mathematical modelling incorporates the basic conservation laws and Boussinesq *** formulation gives a system of governing partial differential equations which are later reduced into ordinary differential equations via dimensionless *** efficient numerical solver,known as bvp4c in MATLAB,is utilized to acquire multiple(upper and lower)numerical solutions in the case of shrinking *** computed results are presented in the form of flow and temperature *** most significant findings acquired from the current study suggest that multiple solutions exist only in the case of a shrinking surface until a critical/turning ***,solutions are unavailable beyond this turning point,indicating flow *** is found that the fluid temperature has been impressively enhanced by a higher nanoparticle volume fraction for both *** the other hand,the outcomes disclose that the wall shear stress is reduced with higher magnetic field in the case of the second *** simulation outcomes are in excellent agreement with earlier research,with a relative error of less than 1%.

关键词： multiple numerical solutions hybrid nanofluids thermal radiation thermal stratification slip conditions heat transfer

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Bright, periodic, compacton and bell-shape soliton solutions of the extended QZK and (3+1)-dimensional ZK equations

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Communications in Theoretical Physics 2021年第10期73卷 23-35页

作者： M Ali Akbar Md Abdul Kayum M S Osman Department of Applied Mathematics University of RajshahiBangladesh Department of Computer Science&Engineering North Bengal International UniversityRajshahiBangladesh Department of Mathematics Faculty of ScienceCairo UniversityGiza 12613Egypt

The(3+1)-dimensional Zakharov–Kuznetsov(ZK) and the new extended quantum ZK equations are functional to decipher the dense quantum plasma, ion-acoustic waves, electron thermal energy,ion plasma, quantum acoustic waves, and quantum Langmuir waves. The enhanced modified simple equation(EMSE) method is a substantial approach to determine competent solutions and in this article, we have constructed standard, illustrative, rich structured and further comprehensive soliton solutions via this method. The solutions are ascertained as the integration of exponential, hyperbolic,trigonometric and rational functions and formulate the bright solitons, periodic, compacton, bellshape, parabolic shape, singular periodic, plane shape and some new type of solitons. It is worth noting that the wave profile varies as the physical and subsidiary parameters change. The standard and advanced soliton solutions may be useful to assist in describing the physical phenomena previously mentioned. To open out the inward structure of the tangible incidents, we have portrayed the three-dimensional, contour plot, and two-dimensional graphs for different parametric values. The attained results demonstrate the EMSE technique for extracting soliton solutions to nonlinear evolution equations is efficient, compatible and reliable in nonlinear science and engineering.

关键词： (3+1)-dimensional ZK the extended QZK equation enhanced modified simple equation method soliton solutions NLEEs

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