The epic COVID-19 had pushed the clinical sciences for another new allied branch as telemedicine services. In the field of COVID-19 (2nd) wave telemedicine, Internet and nature propelled algorithms helped to impart private data of various cardiovascular reports to various cardiologists for better treatment, perspectives, and opinion. Such heterogeneous cardiovascular reports are to be gotten so as to re-establish the patients’ protection. Metaheuristic-key has been proposed through metaheuristics calculation followed by the standard AES 128 bits encryption. Cardiovascular infections (CVDs) are heart sickness identified with blockage of arteries and veins. Heart co-morbid patients are at the most elevated danger of COVID-19. Such patients are to be analyzed and treated appropriately within the restrictions of lockdown. This paper presents a got protected directing of the heterogeneous cardiovascular reports of the patients. Such were to be applied on the proposed metaheuristic-key followed by AES encryption. Making the heterogeneous reports into non-meaningful organization for the gatecrashers is the vital target of the proposed method. A few numerical tests were carried on the proposed strategy, and getting worthy outcomes. To translate the proposed metaheuristic-key through quickest figuring computing framework, the measure of time required has been calculated as 8.5× 1052 years. Along with these fine lines, pushing the COVID-19 telecardiology framework with more got and remarkable credits on the society.
{"title":"Telecardiological COVID-19 (2nd) Wave: Metaheuristic-Key Guides Protected Encryption of Heterogeneous Cardiac Reports","authors":"Joydeep Dey","doi":"10.15864/jmscm.2405","DOIUrl":"https://doi.org/10.15864/jmscm.2405","url":null,"abstract":"The epic COVID-19 had pushed the clinical sciences for another new allied branch as telemedicine services. In the field of COVID-19 (2nd) wave telemedicine, Internet and nature propelled algorithms helped to impart private data of various cardiovascular reports to various\u0000 cardiologists for better treatment, perspectives, and opinion. Such heterogeneous cardiovascular reports are to be gotten so as to re-establish the patients’ protection. Metaheuristic-key has been proposed through metaheuristics calculation followed by the standard AES 128 bits encryption.\u0000 Cardiovascular infections (CVDs) are heart sickness identified with blockage of arteries and veins. Heart co-morbid patients are at the most elevated danger of COVID-19. Such patients are to be analyzed and treated appropriately within the restrictions of lockdown. This paper presents a got\u0000 protected directing of the heterogeneous cardiovascular reports of the patients. Such were to be applied on the proposed metaheuristic-key followed by AES encryption. Making the heterogeneous reports into non-meaningful organization for the gatecrashers is the vital target of the proposed\u0000 method. A few numerical tests were carried on the proposed strategy, and getting worthy outcomes. To translate the proposed metaheuristic-key through quickest figuring computing framework, the measure of time required has been calculated as 8.5× 1052 years. Along with\u0000 these fine lines, pushing the COVID-19 telecardiology framework with more got and remarkable credits on the society.","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123070138","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}
A second wave of COVID-19 has immensely affected the entire community. In the face of COVID-19 second wave scenario, geriatric patients with allied morbidities are most vulnerable under the COVID-19 threats. They suffer a lot from different mental complications. In this manuscript, secured telepsychiatry for geriatric patients (TGP) services are being highlighted with patients’ data security. In most of the telepsychiatry systems, patients’ data are under intruders’ attacks that lead to different malpractices. The secret key that is used in telepsychiatry system should be robust and non-deciphered by the intruders during the public network transmission. More importantly, secured telepsychiatry services are the best option to serve the geriatric patients with patients’ confidentiality. Thus, the COVID-19 attacks on such geriatric patients can be curtailed with efficacy.
{"title":"Secured Telepsychiatry for Geriatric Patients (TGP) in the Face of COVID-19 2nd Wave","authors":"Joydeep Dey, Bappaditya Chowdhury, Arindam Sarkar, Sunil Karforma","doi":"10.15864/jmscm.2409","DOIUrl":"https://doi.org/10.15864/jmscm.2409","url":null,"abstract":"A second wave of COVID-19 has immensely affected the entire community. In the face of COVID-19 second wave scenario, geriatric patients with allied morbidities are most vulnerable under the COVID-19 threats. They suffer a lot from different mental complications. In this manuscript,\u0000 secured telepsychiatry for geriatric patients (TGP) services are being highlighted with patients’ data security. In most of the telepsychiatry systems, patients’ data are under intruders’ attacks that lead to different malpractices. The secret key that is used in telepsychiatry\u0000 system should be robust and non-deciphered by the intruders during the public network transmission. More importantly, secured telepsychiatry services are the best option to serve the geriatric patients with patients’ confidentiality. Thus, the COVID-19 attacks on such geriatric patients\u0000 can be curtailed with efficacy.","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124197783","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}
{"title":"ON KERNELS OF SOME LEFT RESTRICTION SEMIGROUPS IN ℘𝕴x","authors":"","doi":"10.15864/jmscm.2309","DOIUrl":"https://doi.org/10.15864/jmscm.2309","url":null,"abstract":"","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116640869","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}
{"title":"MULTIVARIATE ANALYSIS AND MODELING THE EFFECT OF THE GDP OF NIGERIA ON THE PETROLEUM PRODUCT PRICES (1987- 2018)","authors":"","doi":"10.15864/jmscm.3104","DOIUrl":"https://doi.org/10.15864/jmscm.3104","url":null,"abstract":"","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124504690","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}
{"title":"UNSYNCHRONIZED ANN & GENETICS GUIDED TELECARDIOLOGY SECURITY REINFORCEMENT IN THE LIGHT OF COVID-19","authors":"","doi":"10.15864/jmscm.3201","DOIUrl":"https://doi.org/10.15864/jmscm.3201","url":null,"abstract":"","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124131591","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}
Cancer is one of the highly-rated causes that lead to human mortality. Nowadays with the greater affect of the COVID-19 pandemic, co-morbid patients are at the dual risk of death. Therefore, the main aim of this paper is the specific detection of the cancer cells using nanoparticles further, report analysis using Artificial intelligence, and then the transmission of the medical report is to be done in a neural secured procurement. A simple mechanism to detect cancerous cells through Artificial Neural Networks (ANN) has been proposed here. Moreover, secure attainment of the patients’ medical data has been shown here with the help of Dual Neurons Genetic Key (DNGK). Structural and functionally equivalent ANNs have been iterated to generate the DNGK. In addition, genetic operations were included to make the session key more secured from the opponents. Nanoparticles are frequently used for specific cancer detection on the human body. A revolution in the form of telemedicine in the advanced medical sciences has emerged with the cameo of novel coronavirus things (IoT). It has helped to curtail the coronavirus chain through remote treatments. An Artificial Neural Network will be trained to detect the cancerous cells of the human body. The decision generated by ANN would be encrypted through the AES algorithm and DHNK before procured to the network. The Artificial Neural Network had been trained on different bio-images so that it generates an automated decision. Thus, prompt, safe, and automated cancer detection may be done using this proposed technique. Results derived from different tests on the proposed technique were evaluated and thus, validating the entire proposed technique. Thus, loads of societal development would happen in the fields of Medical Sciences, especially during these post-COVID-19 crisis hours.
{"title":"Post Covid-19 Bio-Imaging: Cancer Detection & Secured Procurement through Dual Neurons Genetic Key (DNGK) in Advanced Medical Sciences","authors":"Joydeep Dey, Soumi Mukherjee, Arindam Sarkar, Sunil Karforma","doi":"10.15864/jmscm.2402","DOIUrl":"https://doi.org/10.15864/jmscm.2402","url":null,"abstract":"Cancer is one of the highly-rated causes that lead to human mortality. Nowadays with the greater affect of the COVID-19 pandemic, co-morbid patients are at the dual risk of death. Therefore, the main aim of this paper is the specific detection of the cancer cells using nanoparticles\u0000 further, report analysis using Artificial intelligence, and then the transmission of the medical report is to be done in a neural secured procurement. A simple mechanism to detect cancerous cells through Artificial Neural Networks (ANN) has been proposed here. Moreover, secure attainment of\u0000 the patients’ medical data has been shown here with the help of Dual Neurons Genetic Key (DNGK). Structural and functionally equivalent ANNs have been iterated to generate the DNGK. In addition, genetic operations were included to make the session key more secured from the opponents.\u0000 Nanoparticles are frequently used for specific cancer detection on the human body. A revolution in the form of telemedicine in the advanced medical sciences has emerged with the cameo of novel coronavirus things (IoT). It has helped to curtail the coronavirus chain through remote treatments.\u0000 An Artificial Neural Network will be trained to detect the cancerous cells of the human body. The decision generated by ANN would be encrypted through the AES algorithm and DHNK before procured to the network. The Artificial Neural Network had been trained on different bio-images so that it\u0000 generates an automated decision. Thus, prompt, safe, and automated cancer detection may be done using this proposed technique. Results derived from different tests on the proposed technique were evaluated and thus, validating the entire proposed technique. Thus, loads of societal development\u0000 would happen in the fields of Medical Sciences, especially during these post-COVID-19 crisis hours.","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123646718","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}
{"title":"RECOVERING THE INITIAL CONDITION OF PARABOLIC EQUATIONS FROM LATERAL CAUCHY\u0000DATA AS A GENERALIZED PROBLEM OF MOMENTS","authors":"","doi":"10.15864/jmscm.3204","DOIUrl":"https://doi.org/10.15864/jmscm.3204","url":null,"abstract":"","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129496968","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}
{"title":"THE ASSESSMENT OF CARBON DIOXIDE (CO2) ADSORPTION AND SPATIAL BIOMASS DISTRIBUTION MAPPING IN THE RESERVOIR OF HINBOUN HYDROPOWER PROJECT","authors":"","doi":"10.15864/jmscm.3110","DOIUrl":"https://doi.org/10.15864/jmscm.3110","url":null,"abstract":"","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123756078","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}
{"title":"MATHEMATICAL ANALYSIS OF A MODEL FOR THE DYNAMICS OF BROILER PRODUCTION IN NIGERIA","authors":"","doi":"10.15864/jmscm.2302","DOIUrl":"https://doi.org/10.15864/jmscm.2302","url":null,"abstract":"","PeriodicalId":270881,"journal":{"name":"Journal of Mathematical Sciences & Computational Mathematics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115804405","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}
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