2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)最新文献_第6页

Face Recognition Based Attendance System 基于人脸识别的考勤系统

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146718

Deepali J. Joshi, Priti N. Patil, V. Singh, Atharv Vanjari, Tejashree M. Shinde, Harshada Giri

引用次数: 0

Real-time Surveillance system using Face Recognition and AR 使用人脸识别和AR的实时监控系统

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146655

N. Chandolikar, Vedang Bhange, Akash Hedau, Umesh K. Gaikwad, Rahul V. Baviskar, Abdulrahman Ahmed

引用次数: 1

MR Brain Tumour Classification Using a Deep Ensemble Learning Technique 基于深度集成学习技术的MR脑肿瘤分类

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146712

Anilkumar B, Nitesh Kumar, K. Sowmya

{"title":"MR Brain Tumour Classification Using a Deep Ensemble Learning Technique","authors":"Anilkumar B, Nitesh Kumar, K. Sowmya","doi":"10.1109/ICNTE56631.2023.10146712","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146712","url":null,"abstract":"A hereditary disease known as a brain tumour can manifest as an odd mass of tissue where cells proliferate and develop, but it is uncontrollable. Magnetic resonance imaging (MRI), which is particularly helpful for visualizing the brain, can be used to find these tumours. However, manual detection takes more time, which results in occasional inaccuracies. In this study, we suggested using an ensemble learning technique to classify brain tumours based on MRI scans. Some deep learning algorithms carry out the task of scouring a hypothesis space in search of an appropriate hypothesis that will produce accurate predictions for a specific tumour situation. To provide a more accurate hypothesis for the prediction of brain tumours, ensembles combine several competing ideas. By putting the combination of pretrained models to the test, a proposed model is developed on top of earlier research on ensemble approaches. In this paradigm, certain ML classification algorithms combine and segment features extracted using transfer learning to enhance performance. With the ensemble-based classifier, we were able to achieve 99% accuracy.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126034781","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

OCR based Cheque Validation using Image Processing 基于OCR的支票图像验证

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146687

Pankaj Kunekar, K. Vayadande, O.S. Kulkarni, Kunal Ingale, Rutik Kadam, Shantanu Inamdar

引用次数: 0

Carbon Footprint: Causes, Impacts and Sector-Wise Survey 碳足迹:成因、影响和行业调查

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146684

Parth Wadke, Vivek Gonal, Divesh Watwani, P. Chavan, S. Sahu

{"title":"Carbon Footprint: Causes, Impacts and Sector-Wise Survey","authors":"Parth Wadke, Vivek Gonal, Divesh Watwani, P. Chavan, S. Sahu","doi":"10.1109/ICNTE56631.2023.10146684","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146684","url":null,"abstract":"As technology grows and urbanization continues, life gets better for everyone with a better quality of life. But this ever increasing growth in all aspects of society has had an unfavorable effect on environmental issues in hand. Technological advancements have led to an enormous rise in carbon emission levels since the last two decades, recording the highest amount in the year of 2021. Energy production, transportation, industries and manufacturing are the major sectors contributing heavily to the global carbon footprint. This ultimately boils down to the excessive use of nonrenewable energy resources and how in turn it is disturbing the ecological balance of our planet. If this goes on as things stand, our future generations will suffer to fulfill their basic needs. Environmental friendly sustainable development technologies should be adopted in order to limit our carbon emission levels. Authorities and policy makers should focus on bringing in these large scale development changes in the most effective and efficient manner. This is only possible if there is absolute clarity on which sectors contribute the most to global carbon footprint. Thus, in this paper we have studied various sectors contributing to carbon emission and have summarised on new technologies and ideas which could positively impact the current environmental issues.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128431215","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

Detection and Classification of Diabetic Retinopathy using Deep Learning 基于深度学习的糖尿病视网膜病变检测与分类

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146626

Dhruvin Rajesh Dungrani, Harsh Rajesh Lotia, Dhairya Parikh, R. S, K. Kavitha

引用次数: 0

All Inorganic Lead-free Perovskites for Photocatalysis: Preparation and Absorption Study 光催化用无机无铅钙钛矿:制备与吸收研究

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146677

S. Jebin, S. Gijare, A. Bera

{"title":"All Inorganic Lead-free Perovskites for Photocatalysis: Preparation and Absorption Study","authors":"S. Jebin, S. Gijare, A. Bera","doi":"10.1109/ICNTE56631.2023.10146677","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146677","url":null,"abstract":"One of the crucial challenges in current century is to overcome worldwide environmental crisis of growing water and air pollution. The recent trend in research focuses on developing novel materials to overcome these issues. All inorganic lead free perovskite materials can be very promising materials for photocatalytic devices not only from technical aspects but also from environmental aspects. In this work, cesium germanium iodide (CsGeI3) and cesium stannous bromide (CsSnBr3) have been prepared by co-precipitation method. Formation of crystalline phases of the materials are confirmed by X-ray diffraction studies, however, the presence of other phases indicates incomplete reaction or immediate decomposition of the perovskite materials. Moreover, band gap of the materials determined from absorption studies also confirm the decomposition of perovskite materials on exposure to air. There is a scope to prevent decomposition and improve the stability either by optimizing synthesis parameters or incorporating stable additives. This will lead to development of low cost but efficient photocatalysts for making our environment better.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133287349","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

Scrutinizing Machine Learning Models For Cancer Prediction 研究癌症预测的机器学习模型

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146673

Pankaj Kunekar, Smit Lahane, S. Ghadge, Sanket Lahoti, Nikhil A. Suryawanshi, Eklavya Chaudhuri

{"title":"Scrutinizing Machine Learning Models For Cancer Prediction","authors":"Pankaj Kunekar, Smit Lahane, S. Ghadge, Sanket Lahoti, Nikhil A. Suryawanshi, Eklavya Chaudhuri","doi":"10.1109/ICNTE56631.2023.10146673","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146673","url":null,"abstract":"Due to some abnormal changes in genes of cells, enforces cells to divide uncontrollably, due to which tumors are formed, which infiltrates and damages the normal body tissues, and this condition is called \"Cancer\". Lung cancer is a type of cancer where the infected cells in the lungs multiply rapidly at a high rate. This abnormal growth of cells, which eventually leads to cancer can be identified using modern data analysis. Detecting cancer symptoms at an early stage plays a crucial role for the patients who may suffer later, if not detected. One of the major problems is the increasing fad of smoking tobacco in youngsters. Air pollutants from industries which get inhaled by people are some of the main causes of increasing lung cancer in India. The main focus of this study is to predict lung cancer in different patients using Machine Learning (ML) algorithms such as a random forest classifier(RFC), k-nearest neighbour(KNN), K-means, Support vector machine(SVM), and decision tree classifier(DTC). The key objective of this research is the analysis of different machine learning algorithms based on their performance metrics.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123899596","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

Detecting Cybersecurity Attacks in Industrial Internet of Things: A Systematic Literature Review 工业物联网网络安全攻击检测:系统文献综述

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146705

M. Andhare, Vijayalaxmi Sandeep Kumbhar, Arti Tekade

引用次数: 1

Design & Development of Semi-Automated Multipurpose Electric Farming Bot 半自动化多用途电动农用机器人的设计与开发

2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) Pub Date : 2023-01-20 DOI: 10.1109/ICNTE56631.2023.10146704

Yash Kale, Chinmay K. Desai, Vaibhav Mistari, Tejas Sonawane, Praseed Kumar, N. Deshmukh

{"title":"Design & Development of Semi-Automated Multipurpose Electric Farming Bot","authors":"Yash Kale, Chinmay K. Desai, Vaibhav Mistari, Tejas Sonawane, Praseed Kumar, N. Deshmukh","doi":"10.1109/ICNTE56631.2023.10146704","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146704","url":null,"abstract":"Tractors are extensively used in farming nowadays. But now the price of fuel is ever increasing and using a tractor for farming is becoming a challenge for small farmers financially. Modern agriculture techniques and equipment are not used by small land hold because this equipment’s are too expensive. Despite the large-scale mechanization of agriculture in some parts of the country, most of the agricultural operations in larger parts are carried on by human hand using simple tools and implements like wooden plough, rake etc. The present study aims to design and develop a compact and multifunctional electric robot for farming. This system is a multifunctional semiautomatic farming bot that can do multiple farming activities namely Ploughing, sowing, and weeding farmer friendly and efficiently. The scope is to design and fabricate a high torque, traction and power locomotion drive taking into consideration the forces/power required for Ploughing. Having a detachable configuration/mechanism of the different process tools for sowing and weeding.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126545336","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