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Distracted Driving Detection with Machine Learning Methods by CNN Based Feature Extraction 基于CNN特征提取的机器学习分心驾驶检测方法
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-12-31 DOI: 10.18100/ijamec.1035749
Shafeeq Kanaan Shakir AL-DOORI, Yavuz Selim Taspinar, M. Koklu
{"title":"Distracted Driving Detection with Machine Learning Methods by CNN Based Feature Extraction","authors":"Shafeeq Kanaan Shakir AL-DOORI, Yavuz Selim Taspinar, M. Koklu","doi":"10.18100/ijamec.1035749","DOIUrl":"https://doi.org/10.18100/ijamec.1035749","url":null,"abstract":"","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126148015","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: 11
Classification of left and right hand motor imagery EEG signals by using deep neural networks 基于深度神经网络的左、右手运动意象脑电信号分类
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-12-29 DOI: 10.18100/ijamec.995022
Nuri Korhan, Leyla Abi̇lzade, Taner Ölmez, Zümray Ölmez
{"title":"Classification of left and right hand motor imagery EEG signals by using deep neural networks","authors":"Nuri Korhan, Leyla Abi̇lzade, Taner Ölmez, Zümray Ölmez","doi":"10.18100/ijamec.995022","DOIUrl":"https://doi.org/10.18100/ijamec.995022","url":null,"abstract":"","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127025904","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: 1
The Genus-Level Identification of Leaf Beetles (Coleoptera: Chrysomelidae) From Habitus Images with Convolutional Neural Network Classification 用卷积神经网络分类从生境图像中识别叶甲虫属(鞘翅目:金甲科)
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-12-29 DOI: 10.18100/ijamec.989263
Mahmut Tokmak, I. Sen
{"title":"The Genus-Level Identification of Leaf Beetles (Coleoptera: Chrysomelidae) From Habitus Images with Convolutional Neural Network Classification","authors":"Mahmut Tokmak, I. Sen","doi":"10.18100/ijamec.989263","DOIUrl":"https://doi.org/10.18100/ijamec.989263","url":null,"abstract":"","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123274328","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
The significance of Enterprise Architecture in driving Digital Transformation on Public sectors 企业架构在推动公共部门数字化转型中的意义
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-09-30 DOI: 10.18100/ijamec.949442
Modikwa Luwi Makovhololo, P. Makovhololo, T. Sekgweleo
{"title":"The significance of Enterprise Architecture in driving Digital Transformation on Public sectors","authors":"Modikwa Luwi Makovhololo, P. Makovhololo, T. Sekgweleo","doi":"10.18100/ijamec.949442","DOIUrl":"https://doi.org/10.18100/ijamec.949442","url":null,"abstract":"","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114056960","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: 1
Predicting COVID-19 impact on demand and supply of cryptocurrency using machine learning 利用机器学习预测COVID-19对加密货币供需的影响
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-09-30 DOI: 10.18100/ijamec.958160
D. Oyewola, E. Dada, J. Ndunagu, Daniel Eneojo Emmanuel
{"title":"Predicting COVID-19 impact on demand and supply of cryptocurrency using machine learning","authors":"D. Oyewola, E. Dada, J. Ndunagu, Daniel Eneojo Emmanuel","doi":"10.18100/ijamec.958160","DOIUrl":"https://doi.org/10.18100/ijamec.958160","url":null,"abstract":"","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132958712","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
Departure Passenger Flow Simulation: Case Study on Izmir Adnan Menderes Airport Pre and Post COVID-19 离境客流模拟:以伊兹密尔·阿德南·门德斯机场疫情前后为例
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-09-30 DOI: 10.18100/ijamec.928696
S. Ateş, Gökhan Koç, Talha Koç, Mustafa Bolat
{"title":"Departure Passenger Flow Simulation: Case Study on Izmir Adnan Menderes Airport Pre and Post COVID-19","authors":"S. Ateş, Gökhan Koç, Talha Koç, Mustafa Bolat","doi":"10.18100/ijamec.928696","DOIUrl":"https://doi.org/10.18100/ijamec.928696","url":null,"abstract":"","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129610977","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
Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk 热加工原料奶质量预测的模糊控制系统
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-09-30 DOI: 10.18100/ijamec.980645
B. Uzun, N. Allahverdi
{"title":"Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk","authors":"B. Uzun, N. Allahverdi","doi":"10.18100/ijamec.980645","DOIUrl":"https://doi.org/10.18100/ijamec.980645","url":null,"abstract":"","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124557627","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
The effects of geometrical parameters on resonance frequency of Inverted Split Ring Resonators (ISRRs) 几何参数对倒开环谐振器谐振频率的影响
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-09-30 DOI: 10.18100/ijamec.879343
I. Yariçi, Y. Ozturk
{"title":"The effects of geometrical parameters on resonance frequency of Inverted Split Ring Resonators (ISRRs)","authors":"I. Yariçi, Y. Ozturk","doi":"10.18100/ijamec.879343","DOIUrl":"https://doi.org/10.18100/ijamec.879343","url":null,"abstract":"","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130842431","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
Reducing Electromagnetic Interference in Three-Level T-type Isolated Bidirectional DC-DC Converter Using a Snubber Circuit 利用缓冲电路降低三电平t型隔离双向DC-DC变换器中的电磁干扰
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-09-30 DOI: 10.18100/ijamec.934394
Halime Hizarci, Kemal Kalayci, O. Demirel, U. Arifoglu
{"title":"Reducing Electromagnetic Interference in Three-Level T-type Isolated Bidirectional DC-DC Converter Using a Snubber Circuit","authors":"Halime Hizarci, Kemal Kalayci, O. Demirel, U. Arifoglu","doi":"10.18100/ijamec.934394","DOIUrl":"https://doi.org/10.18100/ijamec.934394","url":null,"abstract":"Article history: Received 07 May 2021 Accepted 13 August 2021 Electromagnetic interference is the main problem in high switching power converters like DC-DC converters. One of the solution methods for electromagnetic interference reduction is to design a snubber circuit. The snubber circuit is a practical method to reduce fluctuations caused by parasitic components from the layout and non-ideal characteristics of switching devices. An effective snubber circuit design increases the converter's efficiency and reduces EMI noise. In this paper, electromagnetic interference is reduced using different snubber circuits in a three-level T-type isolated bidirectional DC-DC converter. The converter is simulated in PSIM to see the effectiveness of the noise reduction with the snubber circuits. CISPR 25 standard is used for the compliance assessment in the study.","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120998767","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: 1
Smoke detection from foggy environment based on color spaces 基于色彩空间的雾环境烟雾检测
International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-09-30 DOI: 10.18100/ijamec.973440
M. E. Özbek, Uğur Yıldız
{"title":"Smoke detection from foggy environment based on color spaces","authors":"M. E. Özbek, Uğur Yıldız","doi":"10.18100/ijamec.973440","DOIUrl":"https://doi.org/10.18100/ijamec.973440","url":null,"abstract":"Detection of smoke from videos captured by surveillance cameras in outdoor environments is one of the useful outcome of Internet of Things (IoT) applications. The potential benefit increases when deep learning (DL) architectures are involved. However, an inherent difficulty is to detect smoke while natural events like fog exists. The effectiveness of color spaces in detection performance has not yet fully evaluated in those architectures. Moreover, the energy and memory requirements of DL architectures may not be applicable for handling IoT implementation demands. Therefore, in this work, a DL architecture with a suitable color space model, applicable for IoT implementations is proposed to detect smoke from videos in foggy environment. By collecting several videos including smoke samples, the performance comparison of popular and the state-of-the-art DL architectures denoted the outperforming result according to both accuracy and memory usage.","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125839194","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: 1
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