Mathematical Modeling and Computing最新文献_第4页

Degenerate elliptic problem with singular gradient lower order term and variable exponents 具有奇异梯度低阶项和变指数的退化椭圆问题

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.01.133

M. A. Zouatini, F. Mokhtari, H. Khelifi

引用次数: 2

Improving pedestrian segmentation using region proposal-based CNN semantic segmentation 基于区域提议的CNN语义分割改进行人分割

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.03.854

M. J. Lahgazi, P. Argoul, A. Hakim

{"title":"Improving pedestrian segmentation using region proposal-based CNN semantic segmentation","authors":"M. J. Lahgazi, P. Argoul, A. Hakim","doi":"10.23939/mmc2023.03.854","DOIUrl":"https://doi.org/10.23939/mmc2023.03.854","url":null,"abstract":"Pedestrian segmentation is a critical task in computer vision, but it can be challenging for segmentation models to accurately classify pedestrians in images with challenging backgrounds and luminosity changes, as well as occlusions. This challenge is further compounded for compressed models that were designed to deal with the high computational demands of deep neural networks. To address these challenges, we propose a novel approach that integrates a region proposal-based framework into the segmentation process. To evaluate the performance of the proposed framework, we conduct experiments on the PASCAL VOC dataset, which presents challenging backgrounds. We use two different segmentation models, UNet and SqueezeUNet, to evaluate the impact of region proposals on segmentation performance. Our experiments show that the incorporation of region proposals significantly improves segmentation accuracy and reduces false positive pixels in the background, leading to better overall performance. Specifically, the SqueezeUNet model achieves a mean Intersection over Union (mIoU) of 0.682, which is a 12% improvement over the baseline SqueezeUNet model without region proposals. Similarly, the UNet model achieves a mIoU of 0.678, which is a 13% improvement over the baseline UNet model without region proposals.","PeriodicalId":37156,"journal":{"name":"Mathematical Modeling and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68769502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning for the analysis of quality of life using the World Happiness Index and Human Development Indicators 使用世界幸福指数和人类发展指标分析生活质量的机器学习

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.02.534

A. Jannani, N. Sael, F. Benabbou

引用次数: 1

Multi-criteria decision making based on novel distance measure in intuitionistic fuzzy environment 直觉模糊环境下基于新型距离测度的多准则决策

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.02.359

S. Kumar, R. Kumar

{"title":"Multi-criteria decision making based on novel distance measure in intuitionistic fuzzy environment","authors":"S. Kumar, R. Kumar","doi":"10.23939/mmc2023.02.359","DOIUrl":"https://doi.org/10.23939/mmc2023.02.359","url":null,"abstract":"In comparison to fuzzy sets, intuitionistic fuzzy sets are much more efficient at representing and processing uncertainty. Distance measures quantify how much the information conveyed by intuitionistic fuzzy sets differs from one another. Researchers have suggested many distance measures to assess the difference between intuitionistic fuzzy sets, but several of them produce contradictory results in practice and violate the fundamental axioms of distance measure. In this article, we introduce a novel distance measure for IFSs, visualize it, and discuss its boundedness and nonlinear characteristics using appropriate numerical examples. In addition to establishing its validity, its effectiveness was investigated using real-life examples from multiple fields, such as medical diagnosis and pattern recognition. We also present a technique to solve pattern recognition problems, and the superiority of the proposed approach over existing approaches is demonstrated by incorporating a performance index in terms of \"Degree of Confidence\" (DOC). Finally, we extend the applicability of the proposed approach to establish a new decision-making approach known as the IFIR (Intuitionistic Fuzzy Inferior Ratio) method, and its efficiency is analyzed with other established decision-making approaches.","PeriodicalId":37156,"journal":{"name":"Mathematical Modeling and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68768486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the financial flows impact on the diagnosis of an enterprise's economic security level 建立资金流对企业经济安全水平诊断的影响模型

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.02.458

I. Khoma, O. Gaiduchok, Kh. M. Markovych

引用次数: 1

Performance evaluation of a novel Conjugate Gradient Method for training feed forward neural network 一种新的共轭梯度法训练前馈神经网络的性能评价

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.02.326

K. Kamilu, M. I. Sulaiman, A. Muhammad, A. W. Mohamad, M. Mamat

引用次数: 1

Road users detection for traffic congestion classification 道路使用者检测用于交通拥堵分类

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.02.518

A. Es Swidi, S. Ardchir, A. Daif, M. Azouazi

{"title":"Road users detection for traffic congestion classification","authors":"A. Es Swidi, S. Ardchir, A. Daif, M. Azouazi","doi":"10.23939/mmc2023.02.518","DOIUrl":"https://doi.org/10.23939/mmc2023.02.518","url":null,"abstract":"One of the important problems that urban residents suffer from is Traffic Congestion. It makes their life more stressful, it impacts several sides including the economy: by wasting time, fuel and productivity. Moreover, the psychological and physical health. That makes road authorities required to find solutions for reducing traffic congestion and guaranteeing security and safety on roads. To this end, detecting road users in real-time allows for providing features and information about specific road points. These last are useful for road managers and also for road users about congested points. The goal is to build a model to detect road users including vehicles and pedestrians using artificial intelligence especially machine learning and computer vision technologies. This paper provides an approach to detecting road users using as input a dataset of 22983 images, each image contains more than one of the target objects, generally about 81000 target objects, distributed on persons (pedestrians), cars, trucks/buses (vehicles), and also motorcycles/bicycles. The dataset used in this study is known as Common Objects in Context (MS COCO) published by Microsoft. Furthermore, six different models were built based on the approaches RCNN, Fast RCNN, Faster RCNN, Mask RCNN, and the 5th and the 7th versions of YOLO. In addition, a comparison of these models using evaluation metrics was provided. As a result, the chosen model is able to detect road users with more than 55% in terms of mean average precision.","PeriodicalId":37156,"journal":{"name":"Mathematical Modeling and Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68768992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unification of kinetic and hydrodynamic approaches in the theory of dense gases and liquids far from equilibrium 稠密气体和非平衡液体理论中动力学和流体力学方法的统一

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.02.272

M. V. Tokarchuk

引用次数: 1

Study of Hopf bifurcation of delayed tritrophic system: dinoflagellates, mussels, and crabs 延迟三营养系统Hopf分岔的研究:鞭毛类、贻贝和螃蟹

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.01.066

M. Hafdane, I. Agmour, Y. El Foutayeni

引用次数: 3

Ternary hybrid nanofluid flow caused by thermal radiation and mass transpiration in a porous stretching/shrinking sheet 热辐射和质量蒸腾作用在多孔拉伸/收缩片材中的三元杂化纳米流体流动

Mathematical Modeling and Computing Pub Date : 2023-01-01 DOI: 10.23939/mmc2023.02.400

A. B. Vishalakshi, M. Kopp, U. Mahabaleshwar, I. Sarris

引用次数: 1