2023 6th International Conference on Information Systems and Computer Networks (ISCON)最新文献_第5页

Forecasting COVID-19 Pandemic using Prophet, LSTM, hybrid GRU-LSTM, CNN-LSTM, Bi-LSTM and Stacked-LSTM for India 印度使用Prophet、LSTM、混合GRU-LSTM、CNN-LSTM、Bi-LSTM和堆叠-LSTM预测COVID-19大流行

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112065

Satya Prakash, A. S. Jalal, Pooja Pathak

{"title":"Forecasting COVID-19 Pandemic using Prophet, LSTM, hybrid GRU-LSTM, CNN-LSTM, Bi-LSTM and Stacked-LSTM for India","authors":"Satya Prakash, A. S. Jalal, Pooja Pathak","doi":"10.1109/ISCON57294.2023.10112065","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112065","url":null,"abstract":"The COVID-19 Pandemic has been around for four years and remains a health concern for everyone. Although things are somewhat returning to normal, increased incidence of COVID-19 cases in some regions of the world (such as China, Japan, France, South Korea, etc.) has bred worry and anxiety in world, including India. The scientific community, which includes governmental organizations and healthcare facilities, was eager to learn how the COVID-19 Pandemic would develop. The current work makes an attempt to address this question by employing cutting-edge machine learning and Deep Learning algorithms to anticipate the daily incidence of COVID-19 for India over the course of the next six months. For the purpose famous timeseries algorithms were implemented including LSTM, Bi-Directional LSTM and Stacked LSTM and Prophet. Owing to success of hybrid algorithms in specific problem domains- the present study also focuses on such algorithms like GRU-LSTM, CNN-LSTM and LSTM with Attention. All these models have been trained on timeseries dataset of COVID-19 for India and performance metrics are recorded. Of all the models, the simplistic algorithms have performed better than complex and hybrid ones. Owing to this best result was obtained with Prophet, Bidirectional LSTM and Vanilla LSTM. The forecast reveals flat nature of COVID-19 case load for India in future six months.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127389558","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: 3

An Energy Balancing Clustering Based Routing Protocol For Wsn’s 基于能量均衡聚类的无线网络路由协议

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10111950

N. R. S. Jebaraj, Ganesh, Deepak Mangal

{"title":"An Energy Balancing Clustering Based Routing Protocol For Wsn’s","authors":"N. R. S. Jebaraj, Ganesh, Deepak Mangal","doi":"10.1109/ISCON57294.2023.10111950","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10111950","url":null,"abstract":"A number of sensor nodes scattered around the detecting area make up the wireless sensor network, which is a self-organizing, multi-hop wireless network. Wireless sensor nodes are also frequently used in massive wireless sensor networks, which exhibit dynamic topology and self-organization. However, the influence of prime factors; in addition, fading, interference, node locations and various factors such as multipath effect may cause temporary serious packet loss in data transmission. Therefore, the research on wireless sensor network routing protocols needs to consider factors such as reliability and node energy consumption. In this paper proposed an efficient clustering-based routing protocol for efficient energy optimization on sensor nodes. The node location and cluster head energy will affect the networks performance, so node residual energy and its location correlation reduce the cluster head election time which will increase the entire network life time. The simulation results demonstrate that the QoS parameters of the proposed protocol perform better than those of the traditional LEACH protocol.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130892385","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

Profit function Optimization for Growing Items Industry 生长品行业利润函数优化

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10111991

Ashish Sharma, A. Saraswat

引用次数: 0

Free Space and Lane Boundary Fault Recognition and Prediction for Independent Vehicles Using Machine Learning 利用机器学习识别和预测独立车辆的自由空间和车道边界故障

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112006

Sumedha Dangi, Deepak Kumar

引用次数: 1

Machine Learning based Food Demand Estimation for Restaurants 基于机器学习的餐馆食物需求估计

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112059

Neeraj Kumar Pandey, A. Mishra, Vivek Kumar, Ajitesh Kumar, M. Diwakar, Neha Tripathi

引用次数: 2

Activity Recognition System via Unification of CNN and SVM in Complex Domain 基于CNN和SVM的复杂域活动识别系统

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10111982

Parul Choudhary, Pooja Pathak, Abhishek Chaubey

引用次数: 0

Machine Learning to Predict Cardiovascular Disease: Systematic Meta-Analysis 机器学习预测心血管疾病:系统荟萃分析

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112149

M. Shuja, Ahmed Qtaishat, Hari Mohan Mishra, Mukesh Kumar, Bilal Ahmed

{"title":"Machine Learning to Predict Cardiovascular Disease: Systematic Meta-Analysis","authors":"M. Shuja, Ahmed Qtaishat, Hari Mohan Mishra, Mukesh Kumar, Bilal Ahmed","doi":"10.1109/ISCON57294.2023.10112149","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112149","url":null,"abstract":"People do not have much time to think about their health in today’s fast-paced society because of how busy their lives are. The overscheduling of people’s lives and a widespread disregard for their health are two factors that contribute to the rise in the incidence of disease. Additionally, the great majority of people have disability that prevents them from operating properly, such as cardiovascular illness. These people are unable to operate normally because of their disabilities. According to the statistics provided by the World Health organization (WHO), cardiovascular disease is responsible for more than one-third of all deaths. Because of this, it is very necessary for anybody working in the medical industry to be able to evaluate the chance that a patient may develop cardiovascular disease. However, because hospitals and the healthcare industry produce such a vast amount of data, it may be difficult to do research owing to the sheer amount of information that is available. The use of methods that are based on Machine Learning (ML) by medical professionals has the potential to cut down on the amount of time and effort spent formulating predictions and organising data. Because of this, we have been talking about the factors that lead to heart disease as well as the methods that are involved in machine learning. We evaluated and compared the efficacy of a wide variety of well-known ML algorithms that were utilised in the experiment, and we made inferences about cardiovascular disease using these techniques. In the end, the purpose of this research is to determine whether a ML system is capable of reliably predicting cardiac illness.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125581526","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

An Intelligent Versatile Robot with Weather Monitoring System for Precision Agriculture 一种具有精准农业气象监测系统的智能多用途机器人

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112101

Shamim Forhad, M. Hossen, Iraj Ahmed Ahsan, Sadman Saifee, Kazi Naimul Islam Nabeen, Md. Riazat Kabir Shuvo

{"title":"An Intelligent Versatile Robot with Weather Monitoring System for Precision Agriculture","authors":"Shamim Forhad, M. Hossen, Iraj Ahmed Ahsan, Sadman Saifee, Kazi Naimul Islam Nabeen, Md. Riazat Kabir Shuvo","doi":"10.1109/ISCON57294.2023.10112101","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112101","url":null,"abstract":"This research paper studies the latest advancements in weather monitoring systems and their integration with autonomous robots in precision agriculture. The fundamental purpose of this research is to appraise the effectiveness of diverse systems utilized in modern agriculture, such as watering, pesticide spraying, seeding, obstacle detection, and soil analysis. In this regard, the AGRENOBOT, an intelligent robot equipped with an inbuilt weather monitoring system, is introduced as a significant breakthrough in precision agriculture. The robot is highly efficient in planting seeds and spraying pesticides, significantly reducing the need for human labor while minimizing the negative impacts of pesticides. The research findings show that the robot can work for about 30 minutes and can plant seeds with 92% precision, which is better than human labor. A web interface is also developed to monitor the seeding, pumping, and weather status in real-time, utilizing sensors to measure meteorological variables and a Linear Regression model to predict rainfall. This study concludes that the AGRENOBOT is an up-and-coming solution to the agricultural industry’s challenges, as it has the potential to increase crop yields and address the need for more food production. Consequently, this study encourages further research and development in precision agriculture.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125587859","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

Identification of Characteristics of Mewari Poems 梅瓦里诗的特征鉴定

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112199

Shubham Jain, Kamlesh Dutta

{"title":"Identification of Characteristics of Mewari Poems","authors":"Shubham Jain, Kamlesh Dutta","doi":"10.1109/ISCON57294.2023.10112199","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112199","url":null,"abstract":"Poetry is a type of literature that is used to convey a man’s feeling, sentiments and imaginations. It is formed by a beautiful amalgamation of thoughts and notions in the form of words and tones. Mewari in particular is a major dialect of the Rajasthani language and is spoken by a vast majority of population in the Mewar region. It possess a great importance because many literature works created in Mewari glorifies about the great kings like Maharana Pratap, Maharana Kumbha, etc. Thus the cultural significance of this language increases exponentially. Despite having this huge significance very little work has been done in the field of Mewari language in the field of Natural Language Processing, be it identification, classification or extraction. Like Hindi, the Mewari language is written in Devanagari lipi. This paper aims to identify various elements of a Mewari literature like rhymic extent, negative tone, mood and number of a poem. The idea is to extract the data and match it with various parameters to find the hidden elements. Although, decent amount of work has been done in the field of poetry classification and analysis in different languages but this will be the first work being done on Mewari dialect. Various preprocessing operations were performed and it successfully predicted the Rhyme, Negative Tone, Mood and Number with accuracy of 83.75, 90,70 and 70.7 percentage respectively.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126626639","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

AI Value Alignment Problem: The Clear and Present Danger AI价值一致性问题:明确而现实的危险

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112100

Sukrati Chaturvedi, C. Patvardhan, C. V. Lakshmi

引用次数: 0