International Research Journal on Advanced Science Hub最新文献_第4页

Machine Learning Algorithm Based Meat Spoilage Detection: To Avoid Foodborne Infection 基于机器学习算法的肉类腐败检测:避免食源性感染

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s042

Rudrahari S, Wasim Ahmed K, Vigneswaran R R, R. K

{"title":"Machine Learning Algorithm Based Meat Spoilage Detection: To Avoid Foodborne Infection","authors":"Rudrahari S, Wasim Ahmed K, Vigneswaran R R, R. K","doi":"10.47392/irjash.2023.s042","DOIUrl":"https://doi.org/10.47392/irjash.2023.s042","url":null,"abstract":"People are becoming more health conscious and paying more attention to food safety in recent years. Instead of the fresh meat that is needed, spoiled meat are increasingly being sold in marketplaces. Meat spoilage is a major issue that affects everyone in the globe. Million instances of food-borne disease are recorded globally each year. This is a result of eating rotten meat. Meat that has been spoiled includes a number of toxic volatile organic chemicals. Thus, it is imperative to have a system that can identify food deterioration before any symptoms appear. Using the proper sensors and keeping track of gases produced from meat, the system seeks to identify freshness of meat. This study suggests utilising gas sensors to measure the level of gases released by raw meat, temperature and humidity in order to determine how fresh it is. It makes use of machine learning algorithms to distinguish between fresh and spoiled meat. Various sensors are used to detect various food properties, such as temperature, moisture, ammonia gas, H2S gas, or methane. The sensors provide readings to the microcontroller. These readings serve as the input for the machine learning algorithm that decides whether the meat has spoiled or not. The ﬁndings highlight potential beneﬁts of predicting meat rotting level","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"68 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":"131839476","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

Miniaturized slot loaded on-chip loop antenna with multi-fingered inner loop for implantable devices 用于植入式器件的带多指内环的微型化槽载片上环形天线

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s035

A. S.

引用次数: 0

Helmet Detection and Number Plate Recognition Using Machine Learning 基于机器学习的头盔检测和车牌识别

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s032

Puvaneswari S, Deepika P, Bhavatharani T, Rethinapriya T

引用次数: 1

Artificial Intelligence(AI) Enhanced Eye Tracking System For Tetraplegia Patients 针对四肢瘫痪患者的人工智能(AI)增强眼动追踪系统

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s044

Farhaan N, Arshathul Mohamed Haq B, Bogar S, Nithya N

{"title":"Artificial Intelligence(AI) Enhanced Eye Tracking System For Tetraplegia Patients","authors":"Farhaan N, Arshathul Mohamed Haq B, Bogar S, Nithya N","doi":"10.47392/irjash.2023.s044","DOIUrl":"https://doi.org/10.47392/irjash.2023.s044","url":null,"abstract":"People who are incapable of managing all of their muscles other than their head and eyes. There are some medical conditions, such as Locked in Syndrome, that can induce paralysis or motor speech disorders in persons, which can result in voice or speech impairments. Traditionally, many people can communicate by tracking their movements and blinking their eyes. Communication is important for allowing people of this type to express how they feel and what they need. Using an IOT module and an eye tracking system based on CNN (Convolutional Neural Network), we design a technique of interper-sonal communication for a tetraplegic patient in this system. The use of eye blink detection and movement tracking for communication is also possible for quadriplegic patients. With a voice board speaker and this project concept, talks can be delivered while imparting all necessary information. The goal of this research was to develop an IOT module that would enable tetraplegic people to send emergency information to the care team using deep learning and digital image processing. Following the end of the interaction, the technology will be able to ﬂawlessly display the audio signals from the gaze movement","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"67 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":"125409899","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

IOT Based Hand Gesture Recognition System 基于IOT的手势识别系统

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s069

Joel Richard G, Shurvesh S S, S. J

引用次数: 1

ABAC Scheme on Electronic Health Records Using Hyperledger Fabric 基于超级账本结构的电子健康记录ABAC方案

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s065

Ashwin Rupak S A B, Janarthanan J, K. N, Harissh S, S. R.

引用次数: 1

Breast Cancer Classification Using Machine Learning 使用机器学习进行乳腺癌分类

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s012

K. R, R. T M, Manav G Krishna, Nanda Gopal, Kishan G

引用次数: 0

Identifying Personalised treatment plan for GBM using Multidimensional Patient Similarity Analytics 使用多维患者相似度分析确定GBM的个性化治疗方案

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s011

Meera Varmar, Jereesh A S

{"title":"Identifying Personalised treatment plan for GBM using Multidimensional Patient Similarity Analytics","authors":"Meera Varmar, Jereesh A S","doi":"10.47392/irjash.2023.s011","DOIUrl":"https://doi.org/10.47392/irjash.2023.s011","url":null,"abstract":"International Agency for Research on Cancer (IACR) reported an increase in the worldwide cancer rate which is now known to be a major impediment to increasing life expectancy. Glioblastoma multiform, further named as astrocytoma, is a fast-growing truculent type of brain tumour that develops in the cerebral hemispheres, mainly in the frontal and temporal lobes of the brain. According to the National Brain Tumor Society, GBM accounts for 49.1 percent of all primary malignant brain tumors. Despite advances in the available treatment options, there is not much improvement in overall patient survival rate and still ranges from 14.6 to 20.5months. Also, some individuals show adverse drug reactions due to their genetic composition, and the condition is called idiosyncrasy. The proposed work aims to ﬁnd an effective treatment strategy for GBM patients on the basis of their clinical and genomic factors. The work is presented based on Genomic Data Commons (GDC), cBioportal and Cancer Browser dataset. Here we develop different patient cohorts based on the predictive features using K-means++ algorithm. A test patient acquires the treatment pattern of its most similar neighbour using patient similarity analytics. This is a generalized approach that can be applied to any","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"8 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":"114450774","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

Consumer Complaints Classification Using Machine Learning & Deep Learning 使用机器学习和深度学习的消费者投诉分类

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s015

P. K. Naik, Prashanth T, Chandru S, Jaganath S, Sandesh Balan

引用次数: 0

The Future Innovation of Fintech in the Metaverse Banking: Review 金融科技在虚拟银行中的未来创新:综述

International Research Journal on Advanced Science Hub Pub Date : 2023-05-28 DOI: 10.47392/irjash.2023.s063

Jaya Lakshmi Vakiti, Tulasi Devi S L

{"title":"The Future Innovation of Fintech in the Metaverse Banking: Review","authors":"Jaya Lakshmi Vakiti, Tulasi Devi S L","doi":"10.47392/irjash.2023.s063","DOIUrl":"https://doi.org/10.47392/irjash.2023.s063","url":null,"abstract":"The term ”Fintech in the Metaverse Banking” refers to the control of ﬁnancial transactions in virtual settings. Through Metaverse individual can carry out their ﬁnancial and business operations entirely from the comfort of living room, travelling instantly to any bank worldwide virtually. Digital twins make it feasible to provide a digital replica of the bank’s actual assets, processes, and systems, and they can be crucial in a bank’s Fintech transformation. This can assist banks in automating their processes and enhancing the user experience. As a result, banks may be capable of improving the effectiveness of their physical branches and automate their internal operations. Making these intangibles tangible is a difﬁculty for Fintech businesses. Smart transactions, autonomous payments, cross-border payments, interoperability, and proﬁtabil-ity expansion should be the main areas of focus in the ﬁnancial, insurance, and utility businesses. Digital twins can be used by banks to effectively handle any possible difﬁculties by tracking and forecasting the performance of assets like lending activities and Mobile payments. This may contribute to increasing these assets’ availability and dependability, decreasing downtime,","PeriodicalId":244861,"journal":{"name":"International Research Journal on Advanced Science Hub","volume":"51 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":"130139873","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