As increase in the technological advancements in primary healthcare services in terms of both hardware and software, increases the demand for more technological indulgence in primary healthcare services. This paper summarizes Artificial intelligence (AI) systems for the healthcare industry have been created as a result of this ambition. At practically every level, the application of AI has modernized healthcare systems. The study reveals the success of the technological intervention and thus, also highlights current developments in the creation of blockchain & AI applications for the health sector. This study results that technology like blockchain protects primary healthcare patients’ data and privacy in the healthcare system. At last, the study focuses on the prospects ofhow these technologies are altering the healthcare systems & pinpoints a future path for raising the Quality of Service (QoS) while utilizing these cutting-edge tools.
{"title":"Decentralized Framework of Enabling Technology in Primary Healthcare","authors":"D. Rawat, Deepti Sharma, Shweta Pandey, Rajesh Singh, Angel Swastik Duggal, Sudhanshu Sudhanshu","doi":"10.1109/ICDT57929.2023.10150566","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10150566","url":null,"abstract":"As increase in the technological advancements in primary healthcare services in terms of both hardware and software, increases the demand for more technological indulgence in primary healthcare services. This paper summarizes Artificial intelligence (AI) systems for the healthcare industry have been created as a result of this ambition. At practically every level, the application of AI has modernized healthcare systems. The study reveals the success of the technological intervention and thus, also highlights current developments in the creation of blockchain & AI applications for the health sector. This study results that technology like blockchain protects primary healthcare patients’ data and privacy in the healthcare system. At last, the study focuses on the prospects ofhow these technologies are altering the healthcare systems & pinpoints a future path for raising the Quality of Service (QoS) while utilizing these cutting-edge tools.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122239579","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10150779
Anju Gera, T. Ahmed, Seema Nayak
In neurological research, the HH model and many modified forms have been successfully used to study the neurological dynamics of many neurological and other excitable cell disorders. It has been shown by medical researchers that many neuronal diseases are related to bifurcation of ion channels. For example, sodium channel dynamics are involved in epilepsy, potassium and calcium channels have also been found to be associated with Alzheimer’s disease. It is also known that the threshold for normal spiking requires contribution from both non-linear (voltage-gated Na+ and K+ channels) and linear currents (leak channel). Therefore, study of bifurcation of calcium ion is very important.
{"title":"Bifurcation of Sodium and Potassium Conductance for Detection of Some Neurological Disorder","authors":"Anju Gera, T. Ahmed, Seema Nayak","doi":"10.1109/ICDT57929.2023.10150779","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10150779","url":null,"abstract":"In neurological research, the HH model and many modified forms have been successfully used to study the neurological dynamics of many neurological and other excitable cell disorders. It has been shown by medical researchers that many neuronal diseases are related to bifurcation of ion channels. For example, sodium channel dynamics are involved in epilepsy, potassium and calcium channels have also been found to be associated with Alzheimer’s disease. It is also known that the threshold for normal spiking requires contribution from both non-linear (voltage-gated Na+ and K+ channels) and linear currents (leak channel). Therefore, study of bifurcation of calcium ion is very important.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115800333","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10151169
B. Pattanaik, Sukhavasi Kumari, Kiran Kumar C, Manjula Pattnaik, Syed Ibad Ali, M. Kumarasamy
In general, statistical analysis is an advanced method of evaluating analytical components based on mathematical data. The important parts in statistical analysis are the collecting statistics, organizing and analyzing data. Every part of this process is tested. Statistical techniques are also used in other areas of knowledge. Although it is seen as a field based on statistical predictive functions, its structure and calculation methods are based on probability. It also adds advanced mechanisms to regulate its randomness as its improved methods predict the probability of occurrence. In this paper an algebric mathematical based statistical analysis model was proposed. It is important to sample statistics because a typical sample of people should be selected. Mathematical statistics involves a basic calculation of events. These estimates are used to determine the mean, variance, and skewness of a probability distribution. Statistical data processing is impossible without their sorting, generalization and analysis. Any results should be put in such a format that one can get the most useful information first. If the data is large, then they should be grouped or spread.
{"title":"An Innovation of Algebric Mathamatical Based Statistical Analysis Model for Complex Number Theory","authors":"B. Pattanaik, Sukhavasi Kumari, Kiran Kumar C, Manjula Pattnaik, Syed Ibad Ali, M. Kumarasamy","doi":"10.1109/ICDT57929.2023.10151169","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10151169","url":null,"abstract":"In general, statistical analysis is an advanced method of evaluating analytical components based on mathematical data. The important parts in statistical analysis are the collecting statistics, organizing and analyzing data. Every part of this process is tested. Statistical techniques are also used in other areas of knowledge. Although it is seen as a field based on statistical predictive functions, its structure and calculation methods are based on probability. It also adds advanced mechanisms to regulate its randomness as its improved methods predict the probability of occurrence. In this paper an algebric mathematical based statistical analysis model was proposed. It is important to sample statistics because a typical sample of people should be selected. Mathematical statistics involves a basic calculation of events. These estimates are used to determine the mean, variance, and skewness of a probability distribution. Statistical data processing is impossible without their sorting, generalization and analysis. Any results should be put in such a format that one can get the most useful information first. If the data is large, then they should be grouped or spread.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131012909","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10150911
Pancham K. Singh, Mili Srivastava, Mrignainy Kansal, A. P. Singh, Abhay Chauhan, Adarsh Gaur
Some tools have endured in the constantly shifting world of technology, whereas many others have slipped into oblivion over time. One thing we can all agree on is that JavaScript-based libraries and frameworks are here to stay. This incredible technology is adored by countless clients and developers because of its adaptability, it can be installed on both the server and client sides of the web applications. However, due to its unique syntax and quirks, JavaScript may be a difficult language to master. We can admit that we've often caught ourselves staring at a JavaScript code, wondering what was transpiring behind the scenes. This paper will analyze the performance of such popular JavaScript-based frameworks and libraries, and explain why they remain among the most significant JavaScript frameworks of the previous decade. This paper will compare the web frameworks to find a possible winner based on web performance metrics.
{"title":"A Comparative Analysis of Modern Frontend Frameworks for Building Large-Scale Web Applications","authors":"Pancham K. Singh, Mili Srivastava, Mrignainy Kansal, A. P. Singh, Abhay Chauhan, Adarsh Gaur","doi":"10.1109/ICDT57929.2023.10150911","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10150911","url":null,"abstract":"Some tools have endured in the constantly shifting world of technology, whereas many others have slipped into oblivion over time. One thing we can all agree on is that JavaScript-based libraries and frameworks are here to stay. This incredible technology is adored by countless clients and developers because of its adaptability, it can be installed on both the server and client sides of the web applications. However, due to its unique syntax and quirks, JavaScript may be a difficult language to master. We can admit that we've often caught ourselves staring at a JavaScript code, wondering what was transpiring behind the scenes. This paper will analyze the performance of such popular JavaScript-based frameworks and libraries, and explain why they remain among the most significant JavaScript frameworks of the previous decade. This paper will compare the web frameworks to find a possible winner based on web performance metrics.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133072416","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10150971
Neeraj Sharma, B. Gupta
Unlike conventional multiple-input multiple-output (MIMO), massive MIMO communication is a scalable technology offering benefits corresponding to the deployed base station (BS) antennas. It implies equipping BS with huge number of antennas compared to user terminals. It offers sizable boost in spectral and energy efficiencies along with linear signal processing techniques. Among the various design problems related to massive MIMO, effective precoding is one of the most important signal processing tasks at the BS to enable successful downlink transmission. Digital precoding techniques are employed in conventional MIMO systems, where each antenna is preceded by a dedicated RF chain. These techniques are unsuitable for massive MIMO due to excessive number of power hungry and expensive RF chains. In this paper, we discuss advantages, fundamental properties and design challenges of massive MIMO technology. We also present an energy-efficient, low-cost and low-hardware complexity hybrid precoding technique for massive multi-user MIMO systems under Rayleigh fading and millimeter wave channels. Compared with fully digital zero-forcing precoding, the hybrid precoding technique exhibits very high energy and near-optimal spectral efficiency.
{"title":"Performance Evaluation of Multi-user Massive MIMO Systems with Hybrid Precoding","authors":"Neeraj Sharma, B. Gupta","doi":"10.1109/ICDT57929.2023.10150971","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10150971","url":null,"abstract":"Unlike conventional multiple-input multiple-output (MIMO), massive MIMO communication is a scalable technology offering benefits corresponding to the deployed base station (BS) antennas. It implies equipping BS with huge number of antennas compared to user terminals. It offers sizable boost in spectral and energy efficiencies along with linear signal processing techniques. Among the various design problems related to massive MIMO, effective precoding is one of the most important signal processing tasks at the BS to enable successful downlink transmission. Digital precoding techniques are employed in conventional MIMO systems, where each antenna is preceded by a dedicated RF chain. These techniques are unsuitable for massive MIMO due to excessive number of power hungry and expensive RF chains. In this paper, we discuss advantages, fundamental properties and design challenges of massive MIMO technology. We also present an energy-efficient, low-cost and low-hardware complexity hybrid precoding technique for massive multi-user MIMO systems under Rayleigh fading and millimeter wave channels. Compared with fully digital zero-forcing precoding, the hybrid precoding technique exhibits very high energy and near-optimal spectral efficiency.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128853570","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10151147
Kaniphnath Malhari Kudale, G. Kannan, Durgaprasad Navulla, Sunil S
Many of the studies that have been conducted on this subject in the past used adolescents as their subjects. This suggests that data on such occurrences among young adults is scarce. Adolescents have a unique opportunity to take charge of their health and happiness at a moment in life when it is crucial for them to do so. High-quality sleep is essential for teenagers to maintain alertness and concentration during the day and in the classroom. Therefore, it is crucial that they establish regular sleeping habits and limit their usage of electronic media in the hours before bed. In spite of the popularity of social media and the prevalence of computers and mobile phones in private spaces, no research has examined the link between problematic adolescent investment in social networking, sleep practices, and related school experiences. This is so even if there have been no investigations into the possible link. An indirect influence of sleep disruptions drove this significant increase. These results suggest that the dangers connected with social networking sites have a greater impact on younger people than on older people. For example, not getting enough sleep might have a negative effect on how well you perform in school generally. Adolescents' emotional participation and subjective well-being would improve if they were encouraged to adopt healthy sleep habits by limiting the frequency of sleep interruptions brought on by their usage of social media.
{"title":"Social Media Influences in Sleeping Patterns of Human","authors":"Kaniphnath Malhari Kudale, G. Kannan, Durgaprasad Navulla, Sunil S","doi":"10.1109/ICDT57929.2023.10151147","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10151147","url":null,"abstract":"Many of the studies that have been conducted on this subject in the past used adolescents as their subjects. This suggests that data on such occurrences among young adults is scarce. Adolescents have a unique opportunity to take charge of their health and happiness at a moment in life when it is crucial for them to do so. High-quality sleep is essential for teenagers to maintain alertness and concentration during the day and in the classroom. Therefore, it is crucial that they establish regular sleeping habits and limit their usage of electronic media in the hours before bed. In spite of the popularity of social media and the prevalence of computers and mobile phones in private spaces, no research has examined the link between problematic adolescent investment in social networking, sleep practices, and related school experiences. This is so even if there have been no investigations into the possible link. An indirect influence of sleep disruptions drove this significant increase. These results suggest that the dangers connected with social networking sites have a greater impact on younger people than on older people. For example, not getting enough sleep might have a negative effect on how well you perform in school generally. Adolescents' emotional participation and subjective well-being would improve if they were encouraged to adopt healthy sleep habits by limiting the frequency of sleep interruptions brought on by their usage of social media.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133723778","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10151011
Mansi Mahendru, Archana Singh
Passenger disappointment with quality of services is one of the key component affecting the revenue deprivation of the airline industry. Now the airline industry has realized that traditional customer segmentation based on demographics does not reflect customer behavior. Airline is one of the global industries in which customer expectations change very rapidly. Dealing with those expectations in a highly competitive market means airlines must re-formulate their customer segmentation process, from social demography to more composite behavioral approach that consider the entire travel experience of the customer. To overcome above limitation, this study uses passenger booking GDS data having attributes such as user origin, destination, flight class, price, travel search category, trip span, time of fly, number of passengers, trip break and is round trip in order to predict the type of traveler I.e. whether a user is a family traveler, group traveler, business traveler and solo traveler. To find the pattern in the data this study illustrates the idea of applying K-Mode clustering which calculates the most optimal clusters within the data points. Then to predict the class of the traveler XG Boost algorithm is applied and for explaining the outcome of any machine learning model. Shapley Additive Explanations value analysis is used.
{"title":"Airline Customer Segmentation based on Complex Behavioral Approach using K-Mode and XG-Boost Algorithm","authors":"Mansi Mahendru, Archana Singh","doi":"10.1109/ICDT57929.2023.10151011","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10151011","url":null,"abstract":"Passenger disappointment with quality of services is one of the key component affecting the revenue deprivation of the airline industry. Now the airline industry has realized that traditional customer segmentation based on demographics does not reflect customer behavior. Airline is one of the global industries in which customer expectations change very rapidly. Dealing with those expectations in a highly competitive market means airlines must re-formulate their customer segmentation process, from social demography to more composite behavioral approach that consider the entire travel experience of the customer. To overcome above limitation, this study uses passenger booking GDS data having attributes such as user origin, destination, flight class, price, travel search category, trip span, time of fly, number of passengers, trip break and is round trip in order to predict the type of traveler I.e. whether a user is a family traveler, group traveler, business traveler and solo traveler. To find the pattern in the data this study illustrates the idea of applying K-Mode clustering which calculates the most optimal clusters within the data points. Then to predict the class of the traveler XG Boost algorithm is applied and for explaining the outcome of any machine learning model. Shapley Additive Explanations value analysis is used.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124243231","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10150887
Priyanka Datta, Amanpreet Kaur, A. Mantri
Innovation in immersive technologies is growing rapidly throughout the world with the development in industrial applications. In VR technology, a user is completely immersed in the virtual environment and totally detached from real world but feel the virtual world as real. This helps user to experience some scenario which is dangerous and costly in real time. Hence many VR Based Training Simulators (VRBTS) are developed. This paper presents Bibliometrix analysis on VRBTS domain, considering data from Scopus and Dimension databases. A scientific computer-assisted review approach called bibliometrix analysis can identify important researchers or authors as well as their connections across all the publications relevant to a specific field or subject.
{"title":"Virtual Reality Based Training Simulator: A Bibliometric Analysis","authors":"Priyanka Datta, Amanpreet Kaur, A. Mantri","doi":"10.1109/ICDT57929.2023.10150887","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10150887","url":null,"abstract":"Innovation in immersive technologies is growing rapidly throughout the world with the development in industrial applications. In VR technology, a user is completely immersed in the virtual environment and totally detached from real world but feel the virtual world as real. This helps user to experience some scenario which is dangerous and costly in real time. Hence many VR Based Training Simulators (VRBTS) are developed. This paper presents Bibliometrix analysis on VRBTS domain, considering data from Scopus and Dimension databases. A scientific computer-assisted review approach called bibliometrix analysis can identify important researchers or authors as well as their connections across all the publications relevant to a specific field or subject.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124524794","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10150747
Gaurav Vats, Pankaj Sharma
In today's world, the Internet of Things (IoT) has become an important part of daily life. Due to the exchange of information or data generated by sensors and various technologies used in IoT, the safety of an IoT system is becoming a major issue in technology-driven areas. On the other hand, blockchain, which started with Bitcoin, is now being actively explored for smart contracts that remove the need for a third- party and improve processes and transparency in different areas such as asset management, supply chain management, and healthcare networks. Furthermore, it has the potential to improve the quality of analytical systems by enabling users to trace immutable data from beginning to endpoint.The merger of both technologies, IoT and Blockchain, is one of the most noticeable advancements empowering digital transformation in every possible way. Blockchain endorses IoT devices, increasing reliability and clarity in the IoT system. With blockchain, IoT platforms, devices, and apps can run in a decentralized, scalable environment
{"title":"An Exhaustive Analysis on Security Issues concerning IoT using Blockchain","authors":"Gaurav Vats, Pankaj Sharma","doi":"10.1109/ICDT57929.2023.10150747","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10150747","url":null,"abstract":"In today's world, the Internet of Things (IoT) has become an important part of daily life. Due to the exchange of information or data generated by sensors and various technologies used in IoT, the safety of an IoT system is becoming a major issue in technology-driven areas. On the other hand, blockchain, which started with Bitcoin, is now being actively explored for smart contracts that remove the need for a third- party and improve processes and transparency in different areas such as asset management, supply chain management, and healthcare networks. Furthermore, it has the potential to improve the quality of analytical systems by enabling users to trace immutable data from beginning to endpoint.The merger of both technologies, IoT and Blockchain, is one of the most noticeable advancements empowering digital transformation in every possible way. Blockchain endorses IoT devices, increasing reliability and clarity in the IoT system. With blockchain, IoT platforms, devices, and apps can run in a decentralized, scalable environment","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114829785","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}
Pub Date : 2023-05-11DOI: 10.1109/ICDT57929.2023.10151118
Ravi Shankar Singla, A. Gupta, Richa Gupta, Vikas Tripathi, Mahaveer Singh Naruka, Shashank Awasthi
In the event of a sharp rise in global population, agriculture strives to provide food to it. In agriculture, the detection and diagnosis of diseases occurring in the plants continues to be the arduous task. That is why it is endorsed to predict the diseases when the crops are in early stage. This work is done to develop and implement a disease prediction system by using different machine learning algorithms and a convolutional neural network. The objective of the paper is to grab the attention among the organisations to employ innovative technologies to decrease the diseases that are persistent in plants. The different approaches of ML and image processing with the algorithm that will provide explicit results to recognize the leaves that are healthy and classification algorithms and techniques so that we come to a result of categorically conclusive factor that the leaf is infected by any disease or not. Firstly, the dataset of leaves is divided into directories based on some features extracted from the leaves. Now, the logistic regression estimates the probability of the leave being healthy, based on the dataset of independent variables. The same dataset is also provided to Neural Networks (NN), Support Vector Machines (SVM) and Naïve Bayes algorithms. All the models are analysed with the confusion matrix and K-Fold Cross validation techniques. The proposed model gave the accuracy of 94% using Neural Networks.
{"title":"Plant Disease Classification Using Machine Learning","authors":"Ravi Shankar Singla, A. Gupta, Richa Gupta, Vikas Tripathi, Mahaveer Singh Naruka, Shashank Awasthi","doi":"10.1109/ICDT57929.2023.10151118","DOIUrl":"https://doi.org/10.1109/ICDT57929.2023.10151118","url":null,"abstract":"In the event of a sharp rise in global population, agriculture strives to provide food to it. In agriculture, the detection and diagnosis of diseases occurring in the plants continues to be the arduous task. That is why it is endorsed to predict the diseases when the crops are in early stage. This work is done to develop and implement a disease prediction system by using different machine learning algorithms and a convolutional neural network. The objective of the paper is to grab the attention among the organisations to employ innovative technologies to decrease the diseases that are persistent in plants. The different approaches of ML and image processing with the algorithm that will provide explicit results to recognize the leaves that are healthy and classification algorithms and techniques so that we come to a result of categorically conclusive factor that the leaf is infected by any disease or not. Firstly, the dataset of leaves is divided into directories based on some features extracted from the leaves. Now, the logistic regression estimates the probability of the leave being healthy, based on the dataset of independent variables. The same dataset is also provided to Neural Networks (NN), Support Vector Machines (SVM) and Naïve Bayes algorithms. All the models are analysed with the confusion matrix and K-Fold Cross validation techniques. The proposed model gave the accuracy of 94% using Neural Networks.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114837423","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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