2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)最新文献_第2页

Indian Railways Smart Ticketing Validation System with Improved Alert Approach 改进警报方法的印度铁路智能票务验证系统

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169786

Sara Nawghare, Rachna K. Somkunwar, Zarina Shaikh

引用次数: 0

Performance Analysis of Machine Learning Techniques for Predicting Water Quality Index using Physiochemical Parameters 利用理化参数预测水质指标的机器学习技术性能分析

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169408

Sazia Tabassum, C. Kotnala, R. Masih, Mohammed Shuaib, Shadab Alam, Tariq Mousa Alar

{"title":"Performance Analysis of Machine Learning Techniques for Predicting Water Quality Index using Physiochemical Parameters","authors":"Sazia Tabassum, C. Kotnala, R. Masih, Mohammed Shuaib, Shadab Alam, Tariq Mousa Alar","doi":"10.1109/ICSCSS57650.2023.10169408","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169408","url":null,"abstract":"Developing precise and trustworthy models for monitoring and managing water quality is crucial, as it is a key component of environmental management. Traditional water quality index (WQI) models often rely on simplistic statistical methods, leading to inaccurate predictions. This study addresses the limitations of traditional approaches by proposing a machine learning (ML)-based model for predicting WQI based on physicochemical parameters. The proposed model overcomes the challenge of capturing complex, non-linear relationships between physicochemical parameters and water quality. To assess its effectiveness, the proposed model is compared to four prior studies that used ML techniques for WQI prediction. Performance is evaluated using mean absolute error (MAE), root means squared error (RMSE), and coefficient of determination (R-squared) metrics. The results demonstrate that the proposed model outperforms the other studies in terms of both MAE and RMSE while also achieving a comparable or higher R-squared value. This study emphasizes the potential of ML techniques in improving WQI models and contributing to better decision-making regarding water quality management. By offering a more accurate and reliable prediction of WQI, the proposed model can facilitate more effective water quality management practices globally.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114723648","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

Investigation of Denoising Techniques for Removal of Hair and Noise from Dermoscopic Images 皮肤镜图像毛发和噪声去噪技术研究

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169807

Sonam Khattar, R. Bajaj

{"title":"Investigation of Denoising Techniques for Removal of Hair and Noise from Dermoscopic Images","authors":"Sonam Khattar, R. Bajaj","doi":"10.1109/ICSCSS57650.2023.10169807","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169807","url":null,"abstract":"Skin cancer detection is a complicated process where skin images are processed to detect and classify skin diseases. Dermoscopy image analysis of skin lesions are automatically provided by computer-aided systems. The issue and challenge in conventional research are that dermoscopy images captured by dermoscopic devices contain noise, which reduces the accuracy of automated computer-aided-system. But it has been observed that skin cancer detection could be improved by eliminating noise and hair artifacts. However, a noise reduction technique might be implemented to guarantee the best possible picture quality by measurements of ISNR, SSIM, and MS E. The present research study is focused on preprocessing of skin images that are image scaling, hair removal, and noise removal to resolve the issues related to noise and accuracy that have been found in conventional research. The outcomes have been examined numerically and graphically to compare the abilities of the systems. The objective of the work is to make the skin images more understandable to deep learning mechanisms during classification operation. Preprocessing of the image is considering image resizing, hair removal, and noise removal. Thus, the proposed wo rk is supposed to provide a better contribution during skin cancer image detection.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124230573","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

Upload Cricket Match Video to Generate Audio Commentary by YOLOv8 and Transformer 上传板球比赛视频生成音频解说由YOLOv8和变压器

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169522

Karnati Sai Shashank, N. P. Prasad, K. S. Reddy, L. Rao

引用次数: 0

Store and Restore Delay Reduction Techniques of Non-volatile SRAM cells 非易失性SRAM单元的存储和恢复延迟降低技术

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169690

Damyanti Singh, N. Pandey, K. Gupta

引用次数: 0

Multi-Classification of Respiratory Diseases using Deep Learning 基于深度学习的呼吸系统疾病多重分类

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169597

V. Chetan Reddy, V. Naveen Kumar, Y. Padma Sai, G. Spurthi, A. Mahesh

引用次数: 0

A Comparative Study of Skill Development and Job Portals 技能发展与就业门户的比较研究

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169814

Aashutosh Baraskar, Soham Das, Yogesh Khatri, Meet Patel, Pallavi Saindane

引用次数: 0

Enhancing Fashion Cloth Image Classification through Hybrid CNN-SVM Modeling:A Multi-Class Study 基于CNN-SVM混合建模的服装图像分类方法研究

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169791

Ankit Bansal, Rishabh Sharma, A. Jain, Vikrant Sharma, V. Kukreja

{"title":"Enhancing Fashion Cloth Image Classification through Hybrid CNN-SVM Modeling:A Multi-Class Study","authors":"Ankit Bansal, Rishabh Sharma, A. Jain, Vikrant Sharma, V. Kukreja","doi":"10.1109/ICSCSS57650.2023.10169791","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169791","url":null,"abstract":"The classification of fashion cloth images is an important and challenging task in the field of computer vision. In recent years, deep learning (DL) techniques, especially Convolutional Neural Networks (CNNs), have shown remarkable performance in image classification tasks. The proposed study presents a hybrid model for the multi-classification of fashion cloth images by combining the strengths of both CNNs and SVM. Using binary classification, the authors first divide the fashion clothing photographs into male and female categories. Then, multi-classify the images into four categories, including ethnic, casual, formal, and sportswear. The 5000 images that make up the dataset for the study have been divided into training and testing sets. The proposed hybrid model combines the feature extraction capabilities of CNNs and the decision-making power of SVMs to produce improved classification results. The results of the experiments show that the binary classification results in an accuracy of 95.5%, while the multi-classification results in the best accuracy of 96.24% in the case of the formal class of fashion cloth.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130155260","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

Sign Language Detection and Recognition using CNN 基于CNN的手语检测与识别

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169225

B. Chowdary, Ajay Purshotam Thota, A. Sreeja, Kotla Nithin Reddy, Karanam Sai Chandana

引用次数: 0

Smart Education based on Blockchain Technology 基于区块链技术的智慧教育

2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS) Pub Date : 2023-06-14 DOI: 10.1109/ICSCSS57650.2023.10169579

Shubham Dubey, A. Tiwary

{"title":"Smart Education based on Blockchain Technology","authors":"Shubham Dubey, A. Tiwary","doi":"10.1109/ICSCSS57650.2023.10169579","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169579","url":null,"abstract":"This research study explores the potential benefits and challenges of integrating blockchain technology into the education sector. Specifically, it examines the concept of “smart education,” which utilizes blockchain to create a secure, decentralized, and transparent learning environment. This study provides an overview of blockchain technology and its applications in education, including the use of smart contracts, digital credentials, and decentralized learning platforms. It also discusses the potential advantages of smart education, such as increased security and privacy, improved student tracking and data analysis, and reduced costs. The ability to securely store, verify, and share educational credentials on a decentralised, transparent platform made possible by blockchain technology which has the potential to revolutionise the education sector. To fully realise the advantages of blockchain in education, there are several obstacles that must be overcome. The practical application of the technology is one of the main obstacles to its use in education. There are few set norms and protocols for using blockchain technology in education yet because it is still in its early phases. Getting educational institutions and businesses to use blockchain technology for the verification of educational credentials is another challenge. Due to a lack of knowledge or confidence in the technology, many educational institutions might be hesitant to adopt it.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131138933","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