In the realm of sorting algorithms, visualization projects serve as educational tools to comprehend and demonstrate various sorting techniques. This paper presents an analysis and review of sorting visualization projects that do not utilize parallelism. By exploring sorting algorithms without parallel processing, this review aims to provide insights into the efficiency, functionality, and visual representation of these algorithms. Understanding sorting algorithms without parallelism contributes to a foundational understanding of their sequential execution and computational complexities. Keywords: Sorting Algorithms, React Visualizer, Selection Sort, Merge Sort, Bubble Sort, Insertion Sort, Heap Sort.
{"title":"Research Paper on Visualization of Sorting Algorithm","authors":"Rahul Srivastava","doi":"10.55041/ijsrem34569","DOIUrl":"https://doi.org/10.55041/ijsrem34569","url":null,"abstract":"In the realm of sorting algorithms, visualization projects serve as educational tools to comprehend and demonstrate various sorting techniques. This paper presents an analysis and review of sorting visualization projects that do not utilize parallelism. By exploring sorting algorithms without parallel processing, this review aims to provide insights into the efficiency, functionality, and visual representation of these algorithms. Understanding sorting algorithms without parallelism contributes to a foundational understanding of their sequential execution and computational complexities. Keywords: Sorting Algorithms, React Visualizer, Selection Sort, Merge Sort, Bubble Sort, Insertion Sort, Heap Sort.","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099858","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}
Individuals with disabilities are immobile; smart devices give them access to medical databases. One possible way to make improvements to your scenario would be to create a health-1 monitoring system for a patient. The current project’s objective is to build a low-cost smart wheelchair that uses a microcontroller and to attach a health monitoring device to a standard wheelchair
{"title":"IoT Based Smart Reclining Wheel Chair","authors":"Prof. Rajath GR,","doi":"10.55041/ijsrem34588","DOIUrl":"https://doi.org/10.55041/ijsrem34588","url":null,"abstract":"Individuals with disabilities are immobile; smart devices give them access to medical databases. One possible way to make improvements to your scenario would be to create a health-1 monitoring system for a patient. The current project’s objective is to build a low-cost smart wheelchair that uses a microcontroller and to attach a health monitoring device to a standard wheelchair","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141102129","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}
The main motivation of the project defines about the secure authentication of the modules that is multi core authentication of both the face and iris. The goal is to build a system that can handle more process concurrently, improving system performance in general. The system maintains HAAR cascades and Back Propagation Neural Network.The security can be added with Elliptical Curve Cryptography algorithm generation
该项目的主要动机是模块的安全认证，即人脸和虹膜的多核心认证。目标是建立一个能同时处理更多进程的系统，全面提高系统性能。该系统采用 HAAR 级联和反向传播神经网络。
{"title":"BIOMETRIC HASHING TEMPLATE PROTECTION","authors":"","doi":"10.55041/ijsrem34600","DOIUrl":"https://doi.org/10.55041/ijsrem34600","url":null,"abstract":"The main motivation of the project defines about the secure authentication of the modules that is multi core authentication of both the face and iris. The goal is to build a system that can handle more process concurrently, improving system performance in general. The system maintains HAAR cascades and Back Propagation Neural Network.The security can be added with Elliptical Curve Cryptography algorithm generation","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141102214","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}
Customer satisfaction, a term frequently used in marketing, is a measure of how products and services supplied by a company meet or surpass customer expectation. Customer satisfaction is defined as "the number of customers, or percentage of total customers, whose reported experience with a firm, its products, or its services (ratings) exceeds specified satisfaction goals." It is seen as a key performance indicator within business and is often part of a Balanced Scorecard. In a competitive marketplace where businesses compete for customers, customer satisfaction is seen as a key differentiator and increasingly has become a key element of business strategy. "Within organizations, customer satisfaction ratings can have powerful effects. They focus employees on the importance of fulfilling customer’s expectations. Furthermore, when these ratings dip, they warn of problems that can affect sales and profitability. These metrics quantify an important dynamic. When a brand has loyal customers, it gains positive word-of-mouth marketing, which is both free and highly effective." Therefore, it is essential for businesses to effectively manage customer satisfaction. To be able do this, firms need reliable and representative measures of satisfaction. "In researching satisfaction, firms generally ask customers whether their product or service has met or exceeded expectation
{"title":"Review Paper – “Customer Satisfaction In Footwear Industry With Special Reference To Mochi","authors":"Richa Pandey","doi":"10.55041/ijsrem34618","DOIUrl":"https://doi.org/10.55041/ijsrem34618","url":null,"abstract":"Customer satisfaction, a term frequently used in marketing, is a measure of how products and services supplied by a company meet or surpass customer expectation. Customer satisfaction is defined as \"the number of customers, or percentage of total customers, whose reported experience with a firm, its products, or its services (ratings) exceeds specified satisfaction goals.\" It is seen as a key performance indicator within business and is often part of a Balanced Scorecard. In a competitive marketplace where businesses compete for customers, customer satisfaction is seen as a key differentiator and increasingly has become a key element of business strategy. \"Within organizations, customer satisfaction ratings can have powerful effects. They focus employees on the importance of fulfilling customer’s expectations. Furthermore, when these ratings dip, they warn of problems that can affect sales and profitability. These metrics quantify an important dynamic. When a brand has loyal customers, it gains positive word-of-mouth marketing, which is both free and highly effective.\" Therefore, it is essential for businesses to effectively manage customer satisfaction. To be able do this, firms need reliable and representative measures of satisfaction. \"In researching satisfaction, firms generally ask customers whether their product or service has met or exceeded expectation","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141098611","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}
Accurate flight delay prediction is fundamental to establish the more efficient airline business. Recent studies have been focused on applying machine learning methods to predict the flight delay. Most of the previous prediction methods are conducted in a single route or airport. This paper explores a broader scope of factors which may potentially influence the flight delay, and compares several machine learning-based models in designed generalized flight delay prediction tasks. To build a dataset for the proposed scheme, automatic dependent surveillance broadcast (ADS-B) messages are received, pre-processed, and integrated with other information such as weather condition, flight schedule, and airport information. The designed prediction tasks contain different classification tasks and a regression task. Experimental results show that long short-term memory (LSTM) is capable of handling the obtained aviation sequence data, but over fitting problem occurs in our limited dataset. Compared with the previous schemes, the proposed random forest-based model can obtain higher prediction accuracy (90.2% for the binary classification) and can overcome the over fitting problem.
{"title":"Delay Prediction of Aircraft Using Machine Learning Classifiers","authors":"S. V. S. Krishna,","doi":"10.55041/ijsrem34555","DOIUrl":"https://doi.org/10.55041/ijsrem34555","url":null,"abstract":"Accurate flight delay prediction is fundamental to establish the more efficient airline business. Recent studies have been focused on applying machine learning methods to predict the flight delay. Most of the previous prediction methods are conducted in a single route or airport. This paper explores a broader scope of factors which may potentially influence the flight delay, and compares several machine learning-based models in designed generalized flight delay prediction tasks. To build a dataset for the proposed scheme, automatic dependent surveillance broadcast (ADS-B) messages are received, pre-processed, and integrated with other information such as weather condition, flight schedule, and airport information. The designed prediction tasks contain different classification tasks and a regression task. Experimental results show that long short-term memory (LSTM) is capable of handling the obtained aviation sequence data, but over fitting problem occurs in our limited dataset. Compared with the previous schemes, the proposed random forest-based model can obtain higher prediction accuracy (90.2% for the binary classification) and can overcome the over fitting problem.","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141100241","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 modern approach to video steganography combines DNA embedding of encrypted data with intelligent frame selection, enhancing data security during transmission. By creating fake DNA for frame selection and embedding it into strategically chosen frames, termed complex frames this method ensures robust encryption and imperceptibility, offering a promising solution for secure internet data transmission. KeyWords: Complex frames, DNA, embedding, encryption, stego video.
视频隐写术的现代方法将 DNA 嵌入加密数据与智能帧选择相结合，提高了传输过程中的数据安全性。这种方法通过创建用于帧选择的假 DNA，并将其嵌入策略性选择的帧中（称为复杂帧），从而确保了稳健的加密和不可感知性，为安全的互联网数据传输提供了一种前景广阔的解决方案。关键字复杂帧、DNA、嵌入、加密、伪视频。
{"title":"Video Steganography with DNA and Complex Frames","authors":"D. G R","doi":"10.55041/ijsrem34626","DOIUrl":"https://doi.org/10.55041/ijsrem34626","url":null,"abstract":"A modern approach to video steganography combines DNA embedding of encrypted data with intelligent frame selection, enhancing data security during transmission. By creating fake DNA for frame selection and embedding it into strategically chosen frames, termed complex frames this method ensures robust encryption and imperceptibility, offering a promising solution for secure internet data transmission. KeyWords: Complex frames, DNA, embedding, encryption, stego video.","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099940","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}
This paper presents a groundbreaking development in assistive innovation through the improvement of visionary smart glasses custom-made for people with visual impedances. These smart glasses are equipped with a Raspberry Pi Camera module designed to capture images of printed materials such as daily papers, books, and other objects of interest. The captured visual information is then handled through advanced optical character recognition (OCR) technology, changing over it into text. Hence, the text information is consistently transformed into audible content using text-to-speech (TTS), which the user can tune in to through an associated headset.The main objective of these visionary smart glasses is to enable the visually challenged by giving real-time access to printed materials and improving their ability to independently engage with composed data. Furthermore, these smart glasses incorporate a second module outlined for cash reading, permitting users to precisely distinguish and manage distinctive categories of currency. This dual-functionality aims to extend availability and independence, subsequently cultivating more prominent inclusivity and quality of life for individuals with visual impairments.The advancement of these visionary smart glasses represents a critical step towards bridging the data gap that frequently hinders the visually challenged community. By consistently converting printed materials into audio and empowering quick and reliable cash identification, these inventive smart glasses are poised to revolutionise the way people with visual disabilities interact with their environment, eventually enhancing their freedom and overall well-being. Keywords— Envisioning, Revolutionizing, Raspberry Pi, Camera Module, OCR, TTS, Currency.
本文介绍了通过改进为视觉障碍者定制的视觉智能眼镜，在辅助创新方面取得的突破性进展。这些智能眼镜配备了一个 Raspberry Pi 摄像头模块，专门用于捕捉印刷材料（如日报、书籍和其他感兴趣的物品）的图像。捕捉到的视觉信息随后通过先进的光学字符识别（OCR）技术进行处理，将其转换为文本。因此，文本信息将通过文本转语音（TTS）技术持续转化为可听内容，用户可通过相关耳机收听这些内容。此外，这些智能眼镜还集成了用于读取现金的第二个模块，允许用户精确区分和管理不同类别的货币。这种双重功能旨在扩大可用性和独立性，从而为视障人士提供更突出的包容性和生活质量。通过将印刷材料持续转换成音频，并赋予快速、可靠的现金识别功能，这些别出心裁的智能眼镜有望彻底改变视障人士与环境互动的方式，最终提高他们的自由度和整体福祉。关键词--设想、革命化、树莓派（Raspberry Pi）、摄像头模块、OCR、TTS、货币。
{"title":"Envisioning Sight Beyond Sight: Revolutionizing Visionary Assistive Smart Glasses for Visually Challenged","authors":"Komal Dahe","doi":"10.55041/ijsrem34619","DOIUrl":"https://doi.org/10.55041/ijsrem34619","url":null,"abstract":"This paper presents a groundbreaking development in assistive innovation through the improvement of visionary smart glasses custom-made for people with visual impedances. These smart glasses are equipped with a Raspberry Pi Camera module designed to capture images of printed materials such as daily papers, books, and other objects of interest. The captured visual information is then handled through advanced optical character recognition (OCR) technology, changing over it into text. Hence, the text information is consistently transformed into audible content using text-to-speech (TTS), which the user can tune in to through an associated headset.The main objective of these visionary smart glasses is to enable the visually challenged by giving real-time access to printed materials and improving their ability to independently engage with composed data. Furthermore, these smart glasses incorporate a second module outlined for cash reading, permitting users to precisely distinguish and manage distinctive categories of currency. This dual-functionality aims to extend availability and independence, subsequently cultivating more prominent inclusivity and quality of life for individuals with visual impairments.The advancement of these visionary smart glasses represents a critical step towards bridging the data gap that frequently hinders the visually challenged community. By consistently converting printed materials into audio and empowering quick and reliable cash identification, these inventive smart glasses are poised to revolutionise the way people with visual disabilities interact with their environment, eventually enhancing their freedom and overall well-being. Keywords— Envisioning, Revolutionizing, Raspberry Pi, Camera Module, OCR, TTS, Currency.","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101997","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}
MediTrade represents a paradigm shift in healthcare provision through its data-driven approach and personalized care solutions. By harnessing the power of data mining and machine learning, MediTrade offers a comprehensive platform that caters to individual health needs. Through precise disease prediction algorithms and accurate prescription management, MediTrade ensures that users receive tailored healthcare recommendations based on their unique symptoms and medical history. This not only improves the accuracy of diagnoses but also enhances the overall patient experience by providing timely interventions and proactive health management tools. Furthermore, MediTrade integrates advanced technologies to streamline medicine procurement and prescription refills, making healthcare more accessible and convenient for users. The platform's user-friendly interface and intuitive design facilitate seamless navigation, empowering individuals to take control of their health journey. By bridging the gap between patients and healthcare professionals, MediTrade fosters a collaborative healthcare ecosystem that prioritizes personalized care, preventive measures, and holistic well-being Key Words: Social Media, COVID, Customer, E-Pharmacies
{"title":"MediTrade","authors":"P. Masson","doi":"10.55041/ijsrem34603","DOIUrl":"https://doi.org/10.55041/ijsrem34603","url":null,"abstract":"MediTrade represents a paradigm shift in healthcare provision through its data-driven approach and personalized care solutions. By harnessing the power of data mining and machine learning, MediTrade offers a comprehensive platform that caters to individual health needs. Through precise disease prediction algorithms and accurate prescription management, MediTrade ensures that users receive tailored healthcare recommendations based on their unique symptoms and medical history. This not only improves the accuracy of diagnoses but also enhances the overall patient experience by providing timely interventions and proactive health management tools. Furthermore, MediTrade integrates advanced technologies to streamline medicine procurement and prescription refills, making healthcare more accessible and convenient for users. The platform's user-friendly interface and intuitive design facilitate seamless navigation, empowering individuals to take control of their health journey. By bridging the gap between patients and healthcare professionals, MediTrade fosters a collaborative healthcare ecosystem that prioritizes personalized care, preventive measures, and holistic well-being Key Words: Social Media, COVID, Customer, E-Pharmacies","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101840","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}
Coconut is very important ingredient of Indian food just because of its versatility in use. Extracting the edible part from coconut is not so easy task when it comes to process it from its initial state. Scraping of coconut shell takes much time when using the ordinary coconut scrapers available in the market. To make it possible and easier, a pedal-operated small scale coconut scraper was developed in order to save the time and energy. It has a hemispherical serrated grating tool having notches on its outer periphery, which grates the coconut. The average capacity of this developed coconut scraper was found to be 2.55 kg/hr with grating efficiency of 73.63%. Keywords: Coconut scraper, chain drive, capacity, efficiency
{"title":"Development of Pedal Operated Coconut Scraper","authors":"Amit V. Zambare","doi":"10.55041/ijsrem34584","DOIUrl":"https://doi.org/10.55041/ijsrem34584","url":null,"abstract":"Coconut is very important ingredient of Indian food just because of its versatility in use. Extracting the edible part from coconut is not so easy task when it comes to process it from its initial state. Scraping of coconut shell takes much time when using the ordinary coconut scrapers available in the market. To make it possible and easier, a pedal-operated small scale coconut scraper was developed in order to save the time and energy. It has a hemispherical serrated grating tool having notches on its outer periphery, which grates the coconut. The average capacity of this developed coconut scraper was found to be 2.55 kg/hr with grating efficiency of 73.63%. Keywords: Coconut scraper, chain drive, capacity, efficiency","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141100212","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}
The Cool Guru is a brick-and-mortar establishment that has been repurposed into a fulfillment center. These distribution hubs are not accessible to the general public, allowing for ample inventory space and efficient order fulfillment. Cool Gurus offer an extensive and ever-expanding array of resources, enabling customers to purchase products online with options for same-day delivery or even within hours, as well as in-store pickup. While the concept is not novel, various companies, including Whole Foods, Walmart, Target, Bed Bath & Beyond, and numerous major clothing retailers, have employed similar strategies. However, with brick-and-mortar stores facing challenges during closures, the prevalence of Cool Gurus has surged. Our team is currently developing a Cool Guru utilizing NLP technology to analyze real-time customer feedback and sentiment, enabling us to automate product ranking and enhance customer satisfaction. Keywords: Cool Guru, brick-and-mortar, lockdown, shoppers, Bed Bath & Beyond, Natural Language Processing, Sentiment Analysis.
{"title":"Cool Guru E-Commerce Website using Sentiment Analysis Prediction","authors":"Abhishek Rajbhar","doi":"10.55041/ijsrem34587","DOIUrl":"https://doi.org/10.55041/ijsrem34587","url":null,"abstract":"The Cool Guru is a brick-and-mortar establishment that has been repurposed into a fulfillment center. These distribution hubs are not accessible to the general public, allowing for ample inventory space and efficient order fulfillment. Cool Gurus offer an extensive and ever-expanding array of resources, enabling customers to purchase products online with options for same-day delivery or even within hours, as well as in-store pickup. While the concept is not novel, various companies, including Whole Foods, Walmart, Target, Bed Bath & Beyond, and numerous major clothing retailers, have employed similar strategies. However, with brick-and-mortar stores facing challenges during closures, the prevalence of Cool Gurus has surged. Our team is currently developing a Cool Guru utilizing NLP technology to analyze real-time customer feedback and sentiment, enabling us to automate product ranking and enhance customer satisfaction. Keywords: Cool Guru, brick-and-mortar, lockdown, shoppers, Bed Bath & Beyond, Natural Language Processing, Sentiment Analysis.","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101381","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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