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ChatGPT-Powered URL-Based Research Paper Summarizer 由 ChatGPT 驱动的基于 URL 的研究论文摘要器
CC 2023 Pub Date : 2024-03-12 DOI: 10.3390/engproc2024062010
Krishnaveni Srinivasan, G. Ganesan, Eashwar Sivakumar
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引用次数: 0
A Comprehensive Review of Metaverse: Taxonomy, Impact, and the Hype around It 全面回顾 Metaverse:分类学、影响和炒作
CC 2023 Pub Date : 2024-03-06 DOI: 10.3390/engproc2024062009
Gagandeep Kaur, Rashi Pande, Ritika Mohan, Shlok Vij, Poorva Agrawal, Purushottam Shobhane, Latika Pinjarkar, S. Maheshwari, Pooja Bagane
{"title":"A Comprehensive Review of Metaverse: Taxonomy, Impact, and the Hype around It","authors":"Gagandeep Kaur, Rashi Pande, Ritika Mohan, Shlok Vij, Poorva Agrawal, Purushottam Shobhane, Latika Pinjarkar, S. Maheshwari, Pooja Bagane","doi":"10.3390/engproc2024062009","DOIUrl":"https://doi.org/10.3390/engproc2024062009","url":null,"abstract":": There has been widespread interest in the concept of the metaverse in recent years. The aim of this comprehensive review paper is to provide an in-depth analysis of the taxonomy, technological foundations, and historical evolution of the metaverse. The study explores both the positive and negative dimensions of the metaverse, including ethical dilemmas, using a robust analytical framework. In addition to studying the metaverse’s impact on various sectors of society and the economy, this study offers an insight into how it will develop in the coming years. A notable highlight is the exploration of the estimated revenue forecast for metaverse money-making, projecting a substantial 40 billion USD by the 2030s. Further, the paper examines cyberbullying within the metaverse, shedding light on the unique challenges it poses. The hype surrounding the metaverse has also been analyzed, as well as its implications for the broader technological landscape.","PeriodicalId":517910,"journal":{"name":"CC 2023","volume":"37 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140285820","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 Auditory System Interface for Augmented Accessibility: Empowering the Visually Impaired 用于增强无障碍环境的听觉系统界面:增强视障人士的能力
CC 2023 Pub Date : 2024-03-05 DOI: 10.3390/engproc2024062008
Lalit Kumar, Ajay Shriram Kushwaha, Agrim Jain
{"title":"An Auditory System Interface for Augmented Accessibility: Empowering the Visually Impaired","authors":"Lalit Kumar, Ajay Shriram Kushwaha, Agrim Jain","doi":"10.3390/engproc2024062008","DOIUrl":"https://doi.org/10.3390/engproc2024062008","url":null,"abstract":": In 2023, global data revealed that approximately 2.2 billion people are affected by some form of vision impairment. By addressing the specific challenges faced by individuals who are blind and visually impaired, this research paper introduces a novel system that integrates Google Speech input and text-to-speech technology. This innovative approach enables users to perform a variety of tasks, such as reading, detecting weather conditions, and finding locations, using simple voice commands. The user-friendly application is designed to significantly improve social interaction and daily activities for individuals who are visually impaired, underscoring the critical role of accessibility in technological advancements. This research effectively demonstrates the potential of this system to enhance the quality of life for those with visual impairments","PeriodicalId":517910,"journal":{"name":"CC 2023","volume":"8 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140286015","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
Social Media in the Digital Age: A Comprehensive Review of Impacts, Challenges and Cybercrime 数字时代的社交媒体:影响、挑战和网络犯罪综述
CC 2023 Pub Date : 2024-03-01 DOI: 10.3390/engproc2024062006
Gagandeep Kaur, Utkarsha Bonde, Kunjal Lalit Pise, Shruti Yewale, Poorva Agrawal, Purushottam Shobhane, S. Maheshwari, Latika Pinjarkar, Rupali Gangarde
{"title":"Social Media in the Digital Age: A Comprehensive Review of Impacts, Challenges and Cybercrime","authors":"Gagandeep Kaur, Utkarsha Bonde, Kunjal Lalit Pise, Shruti Yewale, Poorva Agrawal, Purushottam Shobhane, S. Maheshwari, Latika Pinjarkar, Rupali Gangarde","doi":"10.3390/engproc2024062006","DOIUrl":"https://doi.org/10.3390/engproc2024062006","url":null,"abstract":"","PeriodicalId":517910,"journal":{"name":"CC 2023","volume":"53 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140407164","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
Exploration of Multi-Task Scheduling in Multi-Access Edge Computing 多接入边缘计算中的多任务调度探索
CC 2023 Pub Date : 2024-02-29 DOI: 10.3390/engproc2024062004
J. Anand, B. Karthikeyan
{"title":"Exploration of Multi-Task Scheduling in Multi-Access Edge Computing","authors":"J. Anand, B. Karthikeyan","doi":"10.3390/engproc2024062004","DOIUrl":"https://doi.org/10.3390/engproc2024062004","url":null,"abstract":"","PeriodicalId":517910,"journal":{"name":"CC 2023","volume":"22 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140413842","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
Brain Tumor Detection and Classification Using Transfer Learning Models 利用迁移学习模型进行脑肿瘤检测和分类
CC 2023 Pub Date : 2024-02-28 DOI: 10.3390/engproc2024062001
Vinod Kumar Dhakshnamurthy, Murali Govindan, Kannan Sreerangan, Manikanda Devarajan Nagarajan, Abhijith Thomas
{"title":"Brain Tumor Detection and Classification Using Transfer Learning Models","authors":"Vinod Kumar Dhakshnamurthy, Murali Govindan, Kannan Sreerangan, Manikanda Devarajan Nagarajan, Abhijith Thomas","doi":"10.3390/engproc2024062001","DOIUrl":"https://doi.org/10.3390/engproc2024062001","url":null,"abstract":": Diagnosing brain tumors is a time-consuming process requiring radiologist expertise. With the growing patient population and increased data volume, conventional procedures have become expensive and ineffective. Scholars have explored algorithms for detecting and classifying brain tumors, focusing on precision and efficiency. Deep learning methodologies are being used to create automated systems that can diagnose or segment brain tumors with precision and efficiency, particularly in brain cancer classification. This approach facilitates transfer learning models in medical imaging. The present study undertakes an evaluation of three foundational models in the domain of computer vision, namely AlexNet, VGG16, and ResNet-50. The VGG16 and ResNet-50 models demonstrated praiseworthy performance, thereby instigating the amalgamation of these models into a groundbreaking hybrid VGG16–ResNet-50 model. The amalgamated model was subsequently implemented on the dataset, yielding a remarkable accuracy of 99.98%, sensitivity of 99.98%, and specificity of 99.98% with an F1 score of 99.98%. Based on a comparative analysis with alternative models, it can be deduced that the suggested framework exhibits a commendable level of dependability in facilitating the timely identification of diverse cerebral neoplasms.","PeriodicalId":517910,"journal":{"name":"CC 2023","volume":"136 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423313","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 Framework for Early Detection of Glaucoma in Retinal Fundus Images Using Deep Learning 利用深度学习在视网膜眼底图像中早期检测青光眼的框架
CC 2023 Pub Date : 2024-02-28 DOI: 10.3390/engproc2024062003
Murali Govindan, Vinod Kumar Dhakshnamurthy, Kannan Sreerangan, Manikanda Devarajan Nagarajan, Suresh Kumar Rajamanickam
{"title":"A Framework for Early Detection of Glaucoma in Retinal Fundus Images Using Deep Learning","authors":"Murali Govindan, Vinod Kumar Dhakshnamurthy, Kannan Sreerangan, Manikanda Devarajan Nagarajan, Suresh Kumar Rajamanickam","doi":"10.3390/engproc2024062003","DOIUrl":"https://doi.org/10.3390/engproc2024062003","url":null,"abstract":"","PeriodicalId":517910,"journal":{"name":"CC 2023","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140418228","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
Development of an Artificial Neural Network-Based Image Retrieval System for Lung Disease Classification and Identification 开发基于人工神经网络的肺病分类和识别图像检索系统
CC 2023 Pub Date : 2024-02-28 DOI: 10.3390/engproc2024062002
A. P. Singh, Ajeet Singh, Amit Kumar, Himanshu Agarwal, Sapna Yadav, Mohit Gupta
{"title":"Development of an Artificial Neural Network-Based Image Retrieval System for Lung Disease Classification and Identification","authors":"A. P. Singh, Ajeet Singh, Amit Kumar, Himanshu Agarwal, Sapna Yadav, Mohit Gupta","doi":"10.3390/engproc2024062002","DOIUrl":"https://doi.org/10.3390/engproc2024062002","url":null,"abstract":"","PeriodicalId":517910,"journal":{"name":"CC 2023","volume":"93 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423593","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
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