Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.10059571
Samrat Ray, Abhishek Raghuvanshi, Karthikeyan Kaliyaperumal, Surendra Kumar Shukla, Malik Jawarneh, P. Nancy, G. Murugesan, Abu Sarwar Zamani
{"title":"Detection of brain tumour using machine learning based framework by classifying MRI images","authors":"Samrat Ray, Abhishek Raghuvanshi, Karthikeyan Kaliyaperumal, Surendra Kumar Shukla, Malik Jawarneh, P. Nancy, G. Murugesan, Abu Sarwar Zamani","doi":"10.1504/ijnt.2023.10059571","DOIUrl":"https://doi.org/10.1504/ijnt.2023.10059571","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","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":"135955963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.10059560
N.A. Varsha, R. Sankaranarayanan, Shobha Aswal, Venkatadri Marriboyina, S. Narayanan, G. Hanumat Sastry
{"title":"Visible property enhancement techniques of IoT cameras using machine learning techniques","authors":"N.A. Varsha, R. Sankaranarayanan, Shobha Aswal, Venkatadri Marriboyina, S. Narayanan, G. Hanumat Sastry","doi":"10.1504/ijnt.2023.10059560","DOIUrl":"https://doi.org/10.1504/ijnt.2023.10059560","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","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":"135956532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.134018
Hao Yu, Ye Yuan, Ashutosh Sharma, Abolfazl Mehbodniya, Mohammad Shabaz
Prolonged emotions of sadness are habitually considered as major depressive disorder (MDD) that has parallel signs like other mental illnesses. These parallel indicative features can frequently lead to suffering of depression and other psychological conditions and therefore involve experts to predict such symptoms and use the timely treatment of MDD in order to evade the adverse effects. Magnetic resonance imaging (MRI) is involved as a vital role in deducing the pathologies related to MDD. This paper deals with the application of data collection for the characteristics of spontaneous brain activity in the basic state of depression patients using resting state functional magnetic resonance images (fMRI), and discusses the changes in the brain function during a depression stage. In this paper, 16 patients with depression underwent 5 minutes and 12 seconds of brain functional MRI scan, and the Hamilton Depression Scale was used to evaluate the severity of the condition. The ReHo software was used to examine local brain regions on the image data. It is revealed that the resting brain fMRI-ReHo method found that the abnormal brain function area of patients with depression included: left thalamus, left temporal lobe, left cerebellum, occipital lobe, and the spontaneous activity consistency of patients in these areas was reduced. This work is done by SVM approach that utilises AUC value of 0.885 for prediction, and it outperforms the state-of-the-art methods in a brain abnormality prediction by a maximum improvement of 22.24% and minimum improvement of 13.75%.
{"title":"Analysis of resting state functional magnetic resonance images for evaluating the changes in brain function depression","authors":"Hao Yu, Ye Yuan, Ashutosh Sharma, Abolfazl Mehbodniya, Mohammad Shabaz","doi":"10.1504/ijnt.2023.134018","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134018","url":null,"abstract":"Prolonged emotions of sadness are habitually considered as major depressive disorder (MDD) that has parallel signs like other mental illnesses. These parallel indicative features can frequently lead to suffering of depression and other psychological conditions and therefore involve experts to predict such symptoms and use the timely treatment of MDD in order to evade the adverse effects. Magnetic resonance imaging (MRI) is involved as a vital role in deducing the pathologies related to MDD. This paper deals with the application of data collection for the characteristics of spontaneous brain activity in the basic state of depression patients using resting state functional magnetic resonance images (fMRI), and discusses the changes in the brain function during a depression stage. In this paper, 16 patients with depression underwent 5 minutes and 12 seconds of brain functional MRI scan, and the Hamilton Depression Scale was used to evaluate the severity of the condition. The ReHo software was used to examine local brain regions on the image data. It is revealed that the resting brain fMRI-ReHo method found that the abnormal brain function area of patients with depression included: left thalamus, left temporal lobe, left cerebellum, occipital lobe, and the spontaneous activity consistency of patients in these areas was reduced. This work is done by SVM approach that utilises AUC value of 0.885 for prediction, and it outperforms the state-of-the-art methods in a brain abnormality prediction by a maximum improvement of 22.24% and minimum improvement of 13.75%.","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","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":"136209168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.134015
S. Narayanan, G. Hanumat Sastry, Shobha Aswal, Venkatadri Marriboyina, R. Sankaranarayanan, N.A. Varsha
Perceiving a sight in low light is challenging due to low SNR and photon counts. Deeper learning is a kind of machine learning that is revolutionising picture identification and computer perception. In this study, deeper learning will be used to enhance low-light picture filtering. To do this, a literature review will be performed to gather inspiration for methods and features that may be applied to the final networks. A fully functioning deeper learning picture filtering system will then be created, allowing networks to be trained using guided learning and the filtered resulting images to be recorded to files. With its output pictures plainly showing it was filtering low-light shots, the network functioned effectively. To maximise the network's potential, it must be run for a longer length of time.
{"title":"Visible property enhancement techniques of IoT cameras using machine learning techniques","authors":"S. Narayanan, G. Hanumat Sastry, Shobha Aswal, Venkatadri Marriboyina, R. Sankaranarayanan, N.A. Varsha","doi":"10.1504/ijnt.2023.134015","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134015","url":null,"abstract":"Perceiving a sight in low light is challenging due to low SNR and photon counts. Deeper learning is a kind of machine learning that is revolutionising picture identification and computer perception. In this study, deeper learning will be used to enhance low-light picture filtering. To do this, a literature review will be performed to gather inspiration for methods and features that may be applied to the final networks. A fully functioning deeper learning picture filtering system will then be created, allowing networks to be trained using guided learning and the filtered resulting images to be recorded to files. With its output pictures plainly showing it was filtering low-light shots, the network functioned effectively. To maximise the network's potential, it must be run for a longer length of time.","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","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":"136209173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Studying the impact of anti-oxidant extract of different vegetables on the formation of PAHs in rabbit meat","authors":"Rabia Siddique, Ameer Fawad Zahoor, Sajjad Ahmad, Hamad Ahmad, Abid Hussain","doi":"10.1504/ijnt.2023.134044","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134044","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","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":"136209176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.134030
K.A. Varun Kumar, Sree T. Sucharitha, R. Priyadarshini, N. Rajendran
{"title":"Comparative approach for discovery of cancerous skin using deep structured learning","authors":"K.A. Varun Kumar, Sree T. Sucharitha, R. Priyadarshini, N. Rajendran","doi":"10.1504/ijnt.2023.134030","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134030","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","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":"136209644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.134017
Ke Huang, Bichuan Sun, Xianming Sun, Mohammad Shabaz, Rijwan Khan
{"title":"Implementation of intrusion detection system and improvement utilising genetic algorithm","authors":"Ke Huang, Bichuan Sun, Xianming Sun, Mohammad Shabaz, Rijwan Khan","doi":"10.1504/ijnt.2023.134017","DOIUrl":"https://doi.org/10.1504/ijnt.2023.134017","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","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":"136209654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.10056470
M. Khosravi, Yinglei Song, Junfeng Qu, Liang Qi, Jinhong Sun
{"title":"A dynamic programming approach for accurate content-based retrieval of ordinary and nano-scale medical images","authors":"M. Khosravi, Yinglei Song, Junfeng Qu, Liang Qi, Jinhong Sun","doi":"10.1504/ijnt.2023.10056470","DOIUrl":"https://doi.org/10.1504/ijnt.2023.10056470","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66786876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.10056479
Jothilakshmi Ramakrishnan, C. Nalini, V. Niveditha, G. Senthilkumar, Rajagopal Kumar
{"title":"COVID-19 detection and tracking using smart applications with artificial intelligence","authors":"Jothilakshmi Ramakrishnan, C. Nalini, V. Niveditha, G. Senthilkumar, Rajagopal Kumar","doi":"10.1504/ijnt.2023.10056479","DOIUrl":"https://doi.org/10.1504/ijnt.2023.10056479","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66787488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijnt.2023.131120
M. Balaji, N. Padmaja
{"title":"A low power transistor level FIR filter implementation using CMOS 45 nm technology","authors":"M. Balaji, N. Padmaja","doi":"10.1504/ijnt.2023.131120","DOIUrl":"https://doi.org/10.1504/ijnt.2023.131120","url":null,"abstract":"","PeriodicalId":14128,"journal":{"name":"International Journal of Nanotechnology","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66787606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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