2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)最新文献_第6页

Visualization and Prediction of Rainfall Using Deep Learning and Machine Learning Techniques 使用深度学习和机器学习技术的降雨可视化和预测

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9988553

T. Aruna, P. Naresh, A. Rajeshwari, M. Hussan, K. G. Guptha

引用次数: 3

A Study on Bladder Cancer Detection using AI-based Learning Techniques 基于人工智能学习技术的膀胱癌检测研究

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9988462

Apeksha Koul, Yogesh Kumar, Anish Gupta

引用次数: 1

Skin Lesion Classification using Machine Learning Algorithm for Differential Diagnosis 基于机器学习算法的皮肤病变分类鉴别诊断

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9987971

H. S, S. Raman, Pitty Sanjay, S. Latha, P. Muthu, S. Dhanalakshmi

引用次数: 2

A Review of Routing Techniques for Different Applications in Wireless Sensor Network 无线传感器网络中不同应用的路由技术综述

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9988059

Preetkamal Singh, J. Kaur

引用次数: 0

Image Pre-Processing Algorithms for the Quality Detection of Tea Leaves 茶叶质量检测的图像预处理算法

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9988238

Ira Gaba, B. Ramamurthy

{"title":"Image Pre-Processing Algorithms for the Quality Detection of Tea Leaves","authors":"Ira Gaba, B. Ramamurthy","doi":"10.1109/ICTACS56270.2022.9988238","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9988238","url":null,"abstract":"This Identification and prediction of the tea quality is the essential research focus nowadays in the field of agriculture. Nowadays the Artificial Intelligence has become the latest topic in the region of pattern recognition. The various combination and permutation of the different techniques has resulted in proper solving the problem as well as have better accuracy in recognition. Therefore, there is urge need of a detailed survey AI techniques used for the identification of the tea leaf quality for the different grades of tea plants. In this paper, we aim on the various methods used for the pre- processing of the input image to extract the processed image which will further be useful for the feature extraction and the classification of the proposed image. It is very important to get the effective and accurate processed data which will further act as an input for the next level modules. This paper shows various methods of edge detection are applied on the image like Canny, Sobel and Laplacian are used. The further results are compared for quality metrics parameters such as the Mean Square Error (MSE) & Structural Similarity Index Metric (SSIM). The main agenda of this paper is to perform the edge detection and to check the quality measure of the processed image. The software used here is python.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124535649","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

Enhancing Background Luminance for Colorectal Cancer H and E Stained Images using Modified Reinhard Technique 改进Reinhard技术增强结直肠癌H、E染色图像的背景亮度

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9988330

Shubhajit Panda, Mahesh Jangid, Ashish Jain

{"title":"Enhancing Background Luminance for Colorectal Cancer H and E Stained Images using Modified Reinhard Technique","authors":"Shubhajit Panda, Mahesh Jangid, Ashish Jain","doi":"10.1109/ICTACS56270.2022.9988330","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9988330","url":null,"abstract":"With the advent of AI and Machine learning based learning, the overall process of cancer diagnosis became much smoother and faster through automated techniques. Because of the presence of artefacts that cause color changes in H&E stained histopathology images, color normalization is an important pre-processing step for cancer identification. However, the existing color normalization methods suffers from two major issues: Loss of information that leads to poor background luminance and huge computational complexity. To address this issue, we developed a modified Reinhard approach for color normalizing on the CRC dataset in order to improve the background luminance of H&E stained colorectal cancer histopathology photographs. Our proposed algorithm not only mitigate the limitations of the previous reinhard method but statistically satisfy all four hypothesis of the color normalization by incorporating a global feature along with local one. Our algorithm's performance was also compared to that of other current color normalization algorithms, and it was shown to be superior in both quantitative and qualitative terms.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127863655","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

Automatic Music Generation System based on RNN Architecture 基于RNN架构的音乐自动生成系统

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9988652

Sandeep Kumar, Keerthi Gudiseva, Aalla Iswarya, S. Rani, K. Prasad, Yogesh Kumar Sharma

引用次数: 0

Predicting preeminent Machine Learning Approach on Stars 预测恒星上卓越的机器学习方法

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9988044

Soumobrata Manna, Vikas Jalodia, K. Kumar, Vikas Tripathi, Smita Sharma, Deepika Arora

引用次数: 0

A Smart Healthcare Monitoring System Based on Fog Computing Architecture 基于雾计算架构的智能医疗监控系统

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9987881

Ajay Reddy Yeruva, C. S. L Vijaya Durga, Gokulavasan B, Kumud Pant, Prateek Chaturvedi, A. Srivastava

{"title":"A Smart Healthcare Monitoring System Based on Fog Computing Architecture","authors":"Ajay Reddy Yeruva, C. S. L Vijaya Durga, Gokulavasan B, Kumud Pant, Prateek Chaturvedi, A. Srivastava","doi":"10.1109/ICTACS56270.2022.9987881","DOIUrl":"https://doi.org/10.1109/ICTACS56270.2022.9987881","url":null,"abstract":"Access to adequate medical care can be difficult in many countries, particularly in economically developing countries. There aren't enough medical professionals, such as doctors or nurses, and the nearest hospitals are too far away. Because there is such a severe shortage of resources, it is extremely challenging to provide preventative therapy to persons who are ill. As a direct consequence of this, even persons in good health are falling more behind in their surveillance of their fitness. It is crucial to have a plan in place to address this problem in order to guarantee that persons will not experience a disruption in their capacity to get necessary medical care in the event that this problem arises. Applications of the Internet of Things include ensuring public safety and improving operational efficiencies in transportation, municipal management, manufacturing, and physical activity (IoT). This study investigates its application in medical equipment and suggests an innovative approach to combining the ideas of fog computing and the Internet of Things. A poor health care system that focuses on clinics can be converted into a high-quality system that puts patients at the center with the help of the framework that has been proposed.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123358837","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: 5

Robustness Analysis of Zero Knowledge Proofs using Diffie Hellman Problem 基于Diffie Hellman问题的零知识证明鲁棒性分析

2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) Pub Date : 2022-10-10 DOI: 10.1109/ICTACS56270.2022.9988299

Chitranjan Prasad Sah

引用次数: 0