International Research Journal on Advanced Science Hub最新文献_第7页

Automated Irrigation System and Field Monitoring Using IoT 使用物联网的自动化灌溉系统和现场监测

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s049

Suhitha S, S. K, R. S, Nivethitha V, S. P

引用次数: 0

A Review on the Movie Recommendation System Using Big Data 基于大数据的电影推荐系统综述

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s051

Chandan Kumar Sangewar, Chinmay Pagey, Sakshi Chauhan, Suganeshwari G

引用次数: 2

Collaborative approach of AI in Internet of Things to incorporate M2M Interaction 人工智能在物联网中的协同方式，融入M2M交互

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s040

C. T.N, Saravanan Alagarsamy

{"title":"Collaborative approach of AI in Internet of Things to incorporate M2M Interaction","authors":"C. T.N, Saravanan Alagarsamy","doi":"10.47392/irjash.2023.s040","DOIUrl":"https://doi.org/10.47392/irjash.2023.s040","url":null,"abstract":"AI is a branch of computer science which is a study of developing machines to perform tasks. On the other hand IoT is all about things (devices) that connect to internet to perform tasks. The primary criteria of both the techniques are to incorporate machine-machine intervention. AI provides automation to com-plete the tasks without any human intervention. The collaboration of both the techniques will deﬁnitely results into a better outcome. Internet of things has become very popular now. Artiﬁcial intelligence mainly uses machine learning algorithms into IoT. Artiﬁcial intelligence is used to easily identify useful patterns and anamolies form the data collected from IoT sensors. Artiﬁcial intelligence is easily embedded into various programs and chips which are all connected to IoT networks. IoT is helping the business world to capture large amount of data from various sources. In general both the techniques are very powerful where IoT (nerve), AI (brain). Artiﬁcial intelligence along with Internet of Things provides a wide range of advantages for businesses and con-sumers, including proactive intervention, tailored experiences, and intelligent automation. Artiﬁcial intelligence is","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126378909","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

Fetal Hypoxia Detection using CTG Signals and CNN Models CTG信号和CNN模型检测胎儿缺氧

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s059

A. P P, Uma V

引用次数: 0

Prediction of COVID-19 using Machine Learning Models based on Clinical Blood Test Data 基于临床血液检测数据的机器学习模型预测COVID-19

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s046

H. N, R. S

{"title":"Prediction of COVID-19 using Machine Learning Models based on Clinical Blood Test Data","authors":"H. N, R. S","doi":"10.47392/irjash.2023.s046","DOIUrl":"https://doi.org/10.47392/irjash.2023.s046","url":null,"abstract":"The global pandemic of Coronavirus Disease 2019 (COVID-19) has caused serious problems and threatened the lives of many people. To effectively com-bat the disease, early and precise screening of infected individuals is essential. The study uses blood test data which comprises 1736 instances and 35 features that have been collected from the patients who were admitted to the emergency department at the San Raffaele Hospital. For predicting COVID-19 in patients, RT-PCR tests a-re widely used. Once a patient has been identiﬁed with the presence of COVID-19, the patient should approach a healthcare professional to determine the severity of the virus and appropriate medical treatment and supportive care should be provided. The patient’s condition should be closely monitored to ensure that their health is improving and to detect any complica-tions that may arise. For this purpose, blood test samples taken from the patient will help to diagnose his condition and the severity of the virus. In this work, a feature selection technique known as Recursive Feature Elimination (RFE) has been used to ﬁnd out the optimal set of features that are highly related to the existence of COVID-19 in patients. The features obtained using RFE are then applied with a machine learning model and the best results are achieved using a Random Forest classiﬁer with an accuracy of 89%.","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486642","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

A Review on Secure Blockchain Integrated System for Technology Oriented Education Structure: Advantages and Issues 面向技术型教育结构的安全区块链集成系统综述:优势与问题

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s025

Sheela D V, C. Ravi

引用次数: 0

Student’s Performance and Difficulties Prediction 学生表现与困难预测

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s024

Kumuda Kanatti, Kehkashaan Khanum A, Janani Jayashankar, G. P, Ambeshwar Kumar

{"title":"Student’s Performance and Difficulties Prediction","authors":"Kumuda Kanatti, Kehkashaan Khanum A, Janani Jayashankar, G. P, Ambeshwar Kumar","doi":"10.47392/irjash.2023.s024","DOIUrl":"https://doi.org/10.47392/irjash.2023.s024","url":null,"abstract":"Every government and nation in the world strives to make advancements in the area of education because it’s a pivotal element of society. According to studies, pupil performance has declined after the nimbus- contagion epidemic that disintegrated life in 2020, which emphasizes the need to treat this prob-lem more seriously and seek to pinpoint both the causes and the effective treatments. The educational system has been impacted in numerous ways. By assay-ing and assessing scholars’ academic performance while taking a variety of aspects into the account, the design aims to ameliorate academic, professional, and university guidance. Scholars will be surveyed using a questionnaire for this design, and data from the UCI Machine Learning Repository will also be used. Understanding the colorful aspects that affect scholars’ performance and prognosticating scholars’ success through the use of colorful machine learning algorithms to dissect pupil data and one’s issues The three different orders of pupil characteristics include particular traits, academic attributes, and behavioral traits. The pupils’ literacy achievements are told by their behavioral traits. It has been noted that regression and Classiﬁcation models are con-stantly used in prediction.","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116114695","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

Crop Mapping using Multispectral Sentinel-2 Dataset 基于多光谱Sentinel-2数据集的作物制图

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s068

Ghantasala Mahathi, Bala Charvitha Sumanjali, Abhinaya P, V. M

{"title":"Crop Mapping using Multispectral Sentinel-2 Dataset","authors":"Ghantasala Mahathi, Bala Charvitha Sumanjali, Abhinaya P, V. M","doi":"10.47392/irjash.2023.s068","DOIUrl":"https://doi.org/10.47392/irjash.2023.s068","url":null,"abstract":"Accurate and timely information on crop distribution is crucial for decision-making in agriculture and ensuring global food security. Crop mapping using remote sensing data has become an essential tool for agricultural monitoring and management. The process of crop mapping involves the acquisition of multispectral data from satellites, pre-processing of the data and analysis to iden-tify different crop types based on their spectral signatures. This information is then combined with ground truth data to create accurate crop mappings that show the location and extent of different crops within an area. In recent years, Convolutional Neural Network (CNN) models have been used for crop mapping using Sentinel-2 data. However, CNN models may not be effective in capturing the spatial dependencies between features extracted from multispectral data. To address this issue, we propose a transformer model. The proposed transformer model is compared with the CNN model to demonstrate its effectiveness and accuracy for crop mapping. This study demonstrates the potential of the Transformer model in capturing the spatial dependencies between features and efﬁciently processing long sequences of data, contributing to improved agricultural practices, resource management and food security.","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132854848","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

Smartphone Position Tracking Using GNSS 使用GNSS的智能手机位置跟踪

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s036

Sakina Bathool, R. Santhosh, Rahul Sharma, Sabeeha Tabassum, Lavanaya B Koppal

{"title":"Smartphone Position Tracking Using GNSS","authors":"Sakina Bathool, R. Santhosh, Rahul Sharma, Sabeeha Tabassum, Lavanaya B Koppal","doi":"10.47392/irjash.2023.s036","DOIUrl":"https://doi.org/10.47392/irjash.2023.s036","url":null,"abstract":"The objective of this paper is to estimate smartphones’ location which support services that demand lane-level precision like high-occupancy vehicle (HOV), lane Estimated Time of Arrival (ETA) estimation. We focus on developing a model based on raw location measurements collected in an open sky and light urban roads using datasets collected by hosts from Android smartphones. The application of mobile devices for most software products built for services such as cadastral surveying, mapping surveying applications, and navigation has been increasing due to the cost-effectiveness of GNSS smartphones. This paper aims to bridge the link between the geospatial information of detailed human behavior and the smartphone internet with improved granularity. It ﬁxes the issue with the GNSS/INS integrated navigation system’s degrading data accuracy during an GNSS signal outage. We aim to improve the currently used GNSS/INS integration algorithm built on the AI approach. The position of a vehicle during a GNSS loss can be predicted utilizing a GNSS/INS integration methodology for land vehicle navigation based on position update architecture (PUA) employing LightGBM regression. It models the connection between INS data and changes in vehicle location using LightGBM","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133979955","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

Machine Learning based Musculoskeletal Ergonomic Analysis of Knee Joint with Support Brace 基于机器学习的支撑支架膝关节肌肉骨骼工效学分析

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s053

Mythili C, P. P

{"title":"Machine Learning based Musculoskeletal Ergonomic Analysis of Knee Joint with Support Brace","authors":"Mythili C, P. P","doi":"10.47392/irjash.2023.s053","DOIUrl":"https://doi.org/10.47392/irjash.2023.s053","url":null,"abstract":"Musculoskeletal issues ranges from pains to mobility issues. Timely diagnosis of musculoskeletal disorders are important in prevention and treatment. Analysis of ergonomics of consumer durables ﬁtting to human are always a complex task associated with time consuming and laborious work. In this present work, a machine learning based ergonomic analysis on knee with external support brace was carried out to understand the user comport of basic postures among a reference healthy and affected population. The study involves 3D scanning of knee joint of study population grouped in to different age groups and each group containing both healthy reference and population with prevalence of knee joint issues. The disease prevalence was categorized into low, medium and extreme cases based on the severity of mobility issues diagnosed. Duration of present in a particular posture is also recorded. Piezoelectric based pressure measurements carried out at important pressure contacts of the user. The data were feed in to MATLAB machine learning tool to train the system, after obtaining optimum training outcome testing and validation were performed to obtain the performance characteristics in terms of ergonomic comfort. The","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131606555","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