Journal La Multiapp最新文献_第3页

Human activity recognition using visibility graph features coupled with machine learning algorithm 基于可见性图特征和机器学习算法的人类活动识别

Journal La Multiapp Pub Date : 2023-04-06 DOI: 10.37899/journallamultiapp.v3i6.755

Huda Jalil Ibrahim, Methaq Taleb Kata, Atheer Y. Oudah

{"title":"Human activity recognition using visibility graph features coupled with machine learning algorithm","authors":"Huda Jalil Ibrahim, Methaq Taleb Kata, Atheer Y. Oudah","doi":"10.37899/journallamultiapp.v3i6.755","DOIUrl":"https://doi.org/10.37899/journallamultiapp.v3i6.755","url":null,"abstract":"Human activities refer to the actions and behaviors of human beings. These activities can be physical, such as working, playing sports, or playing sports; or mentally, such as learning, problem-solving, or decision-making. Technical development and the emergence of mobile devices such as phones and smart watches, as well as wearable sensors, led to the emergence of many systems to recognize and classify human activities. These systems were developed using the data collected by these devices from a variety of individuals who volunteered to do several activities, such as downstairs, upstairs, sitting, running, standing, and more. Using the WISDM (Wireless Sensor Data Mining) dataset, a new machine learning model is proposed to recognize six different human activities: walking, jogging, going up stairs, going down stairs, sitting, and standing. For signal segmentation, the sliding window technique was used, along with two visibility graph techniques for feature extraction: mean degree and Jaccard coefficient. The Least-Squares Support Vector Machines (LS-SVM) used to classify these activities This model achieves 94% accuracy, demonstrating that the proposed model has a high classification rate.","PeriodicalId":272596,"journal":{"name":"Journal La Multiapp","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126584518","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

Review of an Accurate System Utilizing GPS Technology 利用GPS技术的精确系统综述

Journal La Multiapp Pub Date : 2023-03-14 DOI: 10.37899/journallamultiapp.v3i6.746

N. M. Hussien, Yasmin Makki Mohialden, B. K. Abbas, Itidal Saad Mohammed

引用次数: 0

Intelligent Image Processing System Based on Virtual Painting 基于虚拟绘画的智能图像处理系统

Journal La Multiapp Pub Date : 2023-03-14 DOI: 10.37899/journallamultiapp.v3i6.754

S. A. Hussain

引用次数: 0

Comparative study of Arduino Types and Raspberry Pi with Programming Languages Arduino类型和树莓派编程语言的比较研究

Journal La Multiapp Pub Date : 2023-01-03 DOI: 10.37899/journallamultiapp.v3i5.740

Shajan Mohammed Mahdi, M. Al-Obaidi, R. Mahdi

引用次数: 0

Hybrid Features of Mask Generated with Gabor Filter for Texture Analysis and Sobel Operator for Image Regions Segmentation Using K-Means Technique 用Gabor滤波器进行纹理分析，用Sobel算子进行K-Means图像区域分割

Journal La Multiapp Pub Date : 2022-12-31 DOI: 10.37899/journallamultiapp.v3i5.743

Noor khalid

引用次数: 0

Development of Wind and Diesel Generator Hybrid Power System Model for Urban Electrification 城市电气化用风柴油混合动力系统模型的建立

Journal La Multiapp Pub Date : 2022-11-14 DOI: 10.37899/journallamultiapp.v3i5.675

Ola Austin Oshin, Engr Olla Moses

引用次数: 0

Review on Region-Based Segmentation Using Watershed and Region Growing Techniques and their Applications in Different Fields 基于流域和区域种植技术的区域分割及其在不同领域的应用综述

Journal La Multiapp Pub Date : 2022-11-14 DOI: 10.37899/journallamultiapp.v3i5.714

Noor khalid

引用次数: 1

Intelligent Diagnosis of Covid-19 Based on CNN-PNN 基于CNN-PNN的新型冠状病毒智能诊断

Journal La Multiapp Pub Date : 2022-08-26 DOI: 10.37899/journallamultiapp.v3i4.691

A. Khorsheed

{"title":"Intelligent Diagnosis of Covid-19 Based on CNN-PNN","authors":"A. Khorsheed","doi":"10.37899/journallamultiapp.v3i4.691","DOIUrl":"https://doi.org/10.37899/journallamultiapp.v3i4.691","url":null,"abstract":"Today the whole world suffers and fears the epidemic of the Coronavirus and the developed waves in it, as we have now reached the fourth wave, and this is a serious matter. Where the statistics of the Coronavirus in the current data showed that 213 countries are affected by this epidemic, and about 6 millions of deaths are recorded. This virus spreads rapidly, and patients mainly suffer from breathing. The patient who suffers from pre-existing health problems will be more likely to contract this disease, so there was an urgent need for artificial intelligence to enter to quickly detect this virus, so the world turned to deep learning, which is one of the most powerful methods and techniques for classification because of its use of Bayas Rule, where there is no possibility of error. This paper proposes CNN (Convolutional Neural Networks) and PNN (Proprestitc Neural Networks) mixed tomography scanning model to classify Covid-19 images, the proposed network called the CNN-PNN model. The CNN-PNN model can use CNN to compute the dependency and continuity features of the output of the middle layer of the PNN model, and correlate the properties of these middle levels with the final full network to predict the classification.","PeriodicalId":272596,"journal":{"name":"Journal La Multiapp","volume":"476 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122742268","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

Human Identification Model Considering Biometrics Features 考虑生物特征的人体身份识别模型

Journal La Multiapp Pub Date : 2022-08-26 DOI: 10.37899/journallamultiapp.v3i4.692

Muna Abdul Hussain Radhi

{"title":"Human Identification Model Considering Biometrics Features","authors":"Muna Abdul Hussain Radhi","doi":"10.37899/journallamultiapp.v3i4.692","DOIUrl":"https://doi.org/10.37899/journallamultiapp.v3i4.692","url":null,"abstract":"In the medical field, brain classification is an effective technique for identifying a person through his brain print based on the hidden biometrics of high specificity included in the magnetic resonance images(MRI) of the brain, as this privacy strongly contributes to the issue of verification and identification of the person. In this paper, the brain print is extracted from the MRI obtained from 50 healthy people, which were passed through several pre-processing techniques in order to be used in the classification stage through convolutional neural network model, among those pre-classification stages, data collection after extracting the influential features for each image, which was based on linear discrimination analysis (LDA). The experimental results showed the importance of using LDA for feature extraction and adoption as input for K-NN and CNN classifiers. The classifiers proved successful in the classification if the features extracted with the help of LDA were adopted. Where CNN had the ability to classify with an accuracy of 99%, 82% for K-NN. The final stage in identifying a person through a brain fingerprint relied mainly on the model's success in classifying and predicting the remaining data in the testing stage.","PeriodicalId":272596,"journal":{"name":"Journal La Multiapp","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130245304","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

25 Years of Operation of the ‟Santa María De Loreto” Photovoltaic Plant, Cuba 古巴“Santa María De Loreto”光伏电站运行25年

Journal La Multiapp Pub Date : 2022-08-26 DOI: 10.37899/journallamultiapp.v3i4.683

J. Cuán, R. R. Heredia, R. P. Yero, J. F. Vigil

引用次数: 0