ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY最新文献

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An Assessment on Cardiovascular Disease Prediction and Diagnosis using Machine Learning Algorithms 基于机器学习算法的心血管疾病预测与诊断评估
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2022-04-27 DOI: 10.33130/ajct.2022v08i01.09
R. Anuradha
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引用次数: 1
Structure of Soil Moisture Sensing Electronic Irrigation System 土壤水分传感电子灌溉系统的结构研究
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2022-04-27 DOI: 10.33130/ajct.2022v08i01.002
M. Islam, Rafiqul Islam, Md. Rubel Sarkar
{"title":"Structure of Soil Moisture Sensing Electronic Irrigation System","authors":"M. Islam, Rafiqul Islam, Md. Rubel Sarkar","doi":"10.33130/ajct.2022v08i01.002","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i01.002","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117074968","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 Review on Comparative analysis and methods of Early detection of Brain tumor using Deep Learning CNN 基于深度学习CNN的脑肿瘤早期检测方法及对比分析综述
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2022-04-27 DOI: 10.33130/ajct.2022v08i01.017
Shubham K Makwana, Vinod Patel
{"title":"A Review on Comparative analysis and methods of Early detection of Brain tumor using Deep Learning CNN","authors":"Shubham K Makwana, Vinod Patel","doi":"10.33130/ajct.2022v08i01.017","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i01.017","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124145055","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
Machine Learning Algorithms for Heart Disease Prediction 心脏疾病预测的机器学习算法
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2022-04-27 DOI: 10.33130/ajct.2022v08i01.013
Sikha Suhani Bhuyan, A. Mishra
{"title":"Machine Learning Algorithms for Heart Disease Prediction","authors":"Sikha Suhani Bhuyan, A. Mishra","doi":"10.33130/ajct.2022v08i01.013","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i01.013","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133248987","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
Image Captioning from Wikipedia for Multi-Language using Deep Learning Models 使用深度学习模型的多语言维基百科图片字幕
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2022-04-27 DOI: 10.33130/ajct.2022v08i01.014
Anusha Garlapati, Neeraj Malisetty, Gayathri Narayanan
{"title":"Image Captioning from Wikipedia for Multi-Language using Deep Learning Models","authors":"Anusha Garlapati, Neeraj Malisetty, Gayathri Narayanan","doi":"10.33130/ajct.2022v08i01.014","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i01.014","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123862460","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
Kisan Assistant (Crop Price Prediction) 基山助理(农作物价格预测)
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2022-04-27 DOI: 10.33130/ajct.2022v08i01.001
Sanju Kademani
{"title":"Kisan Assistant (Crop Price Prediction)","authors":"Sanju Kademani","doi":"10.33130/ajct.2022v08i01.001","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i01.001","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"155 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885857","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
Financial Analysis Of A Hybrid Tidal Stream Energy System For Sustainable Island Electrification In The Philippines 菲律宾可持续岛屿电气化混合潮汐流能源系统的财务分析
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2022-04-27 DOI: 10.33130/ajct.2022v08i01.005
Marianne Eleanor, A. Catanyag, L. Edward, T. Michael, Lochinvar Sim Abundo
{"title":"Financial Analysis Of A Hybrid Tidal Stream Energy System For Sustainable Island Electrification In The Philippines","authors":"Marianne Eleanor, A. Catanyag, L. Edward, T. Michael, Lochinvar Sim Abundo","doi":"10.33130/ajct.2022v08i01.005","DOIUrl":"https://doi.org/10.33130/ajct.2022v08i01.005","url":null,"abstract":"","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121777477","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
Full Time Result Prediction using Ensemble Techniques 使用集成技术的全时结果预测
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2021-12-20 DOI: 10.33130/ajct.2021v07i03.006
Mrigank Vashist, Vasudha Bahl, Amita Goel, Nidhi Sengar
{"title":"Full Time Result Prediction using Ensemble Techniques","authors":"Mrigank Vashist, Vasudha Bahl, Amita Goel, Nidhi Sengar","doi":"10.33130/ajct.2021v07i03.006","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.006","url":null,"abstract":"Sports Analytics is a growing industry and one of the best real-word applications of Data Science. In this paper, the interest of author and machine learning capabilities were combined to develop a result predictor for football matches. The model proposed is capable of predicting result of any English Premier League Match at the half-time with 75% accuracy. The full-time result predictor is a system based on ensemble of powerful classification algorithms which can predict the odds of winning and draw of both home team and away team on the basis of goals scored at the half time and the current standings in the league. The model learns from the past records of the league and the results of different models are compared in the last section of the paper. Keywords— Data Science, comparative models, result prediction, football analysis","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116431917","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
MRI Image Based Relatable Pixel Extraction with Image Segmentation for Brain Tumor Cell Detection Using Deep Learning Model 基于MRI图像相关像素提取与图像分割的深度学习模型脑肿瘤细胞检测
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2021-12-20 DOI: 10.33130/ajct.2021v07i03.005
Rajeshwari Dharavath, K. Shyamala
{"title":"MRI Image Based Relatable Pixel Extraction with Image Segmentation for Brain Tumor Cell Detection Using Deep Learning Model","authors":"Rajeshwari Dharavath, K. Shyamala","doi":"10.33130/ajct.2021v07i03.005","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.005","url":null,"abstract":"Biomedical technology now plays a critical role in the detection and treatment of a wide range of diseases, from minor to life-threatening. One of the most life-threatening disorders is brain tumour, which is defined as a mass development of abnormal cells in the brain. By avoiding the spread of aberrant cells, early discovery and treatment can save a person's life. In the medical field, it is vital to find a certain image categorization strategy based on tumor cell regions. The tumor region is then selected to perform the segmentation process and then classification is performed. The identificationbased method helps to limit the image area and to identify the border area in a reduced time period. Automatic brain tumor classification is a difficult undertaking due to the enormous geographical and structural heterogeneity of the brain tumor's surrounding environment. The use of Deep Neural Networks classification for automatic brain tumor detection is proposed. The proposed a Relatable Pixel Extraction with Magnetic Resonance Imaging (MRI) Image Segmentation for Brain Tumor Cell Detection (RPEIS-BTCD) using Deep Learning Model. The proposed model is compared with the existing models and the results indicate that the proposed model performance the","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131094937","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 Enabled Notice Board 启用物联网的公告板
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY Pub Date : 2021-12-20 DOI: 10.33130/ajct.2021v07i03.004
Dr. Asawari Dudwadkar, Omkar N. Tulaskar, Mitesh R. Khedekar, Anuja K. Merwade, Shubham P. Sutrakar
{"title":"IoT Enabled Notice Board","authors":"Dr. Asawari Dudwadkar, Omkar N. Tulaskar, Mitesh R. Khedekar, Anuja K. Merwade, Shubham P. Sutrakar","doi":"10.33130/ajct.2021v07i03.004","DOIUrl":"https://doi.org/10.33130/ajct.2021v07i03.004","url":null,"abstract":"This paper deals with the implementation of software tools and the whole framework for IoT Enabled Notice Board. Notice boards can change the way people communicate with each other, providing important information to large people at the right time. Notice boards are used extensively in schools, colleges, hospitals, railway stations, hotels, malls, etc. The developed system includes the notice board being connected to a local server running on Raspberry Pi 24*7. The notice to be displayed can be sent via the developed Android application or from the webpage. The data is then sent onto the server where it is pushed in a backend MySQL database. From the database, the contents of the notice are then displayed on the Monitor. The system provides an authentication layer to avoid any unauthorized activities since the target audience for the prototype developed is mainly schools and colleges. Keywords—Raspberry Pi, Internet of Things, Database, E-notice","PeriodicalId":138101,"journal":{"name":"ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121233759","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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