7th International Conference on Computing in Engineering & Technology (ICCET 2022)最新文献_第6页

Heart disease prediction using machine learning and data analytics approach 利用机器学习和数据分析方法预测心脏病

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0647

S. Kapoor, L. Kasar, A. Mandole, J. Mahajan

引用次数: 4

Remote sensing image fusion using machine learning and deep learning: a systematic review 使用机器学习和深度学习的遥感图像融合:系统综述

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0589

A. Tawade, S. Virnodkar

{"title":"Remote sensing image fusion using machine learning and deep learning: a systematic review","authors":"A. Tawade, S. Virnodkar","doi":"10.1049/icp.2022.0589","DOIUrl":"https://doi.org/10.1049/icp.2022.0589","url":null,"abstract":"Modern Remote Sensing (RS) technologies have emerged and picked up a substantial momentum as a valuable source of data for environmental, economic, and social applications over the past few years. RS has given birth to few other beneficial processes like image fusion that extracts & registers relevant important knowledge from satellite images to make them more useful before subjecting to future applications. Image Fusion is typically performed with three broader techniques: Pixel level, Feature Level and Decision Level. With the help of proper image fusion methods, the concerned information is extracted from various images, which can then be utilized for everyday applications, ranging from weather forecasts to reports on natural disasters or climate change. This study talks about a practice of applying Artificial Intelligence (AI) to the great extent considering its recent advancement in the domain of image processing. In a nutshell, this paper explores and analyses the key remote sensing data fusion techniques based on Machine Learning and Deep Learning with respect to multi-satellite images and single satellite multi-spectral band images and reviews the theory, principles, applications, constraints, and benefits of each technique with a goal of discussing a potential future direction of this study.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130827915","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 novel security enhancement mechanism in wireless body area networks using quantum cryptography 一种基于量子密码的无线体域网络安全增强机制

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0626

K. S. Bharathi, R. Venkateswari

引用次数: 0

SR (Supernumerary Robotic) Fingers SR(多余机器人)手指

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0621

K. Jagadeesh, N. Hemangani

引用次数: 0

A novel forgery detection technique for document images 一种新的文档图像伪造检测技术

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0595

D. Savakar, R. Hiremath

{"title":"A novel forgery detection technique for document images","authors":"D. Savakar, R. Hiremath","doi":"10.1049/icp.2022.0595","DOIUrl":"https://doi.org/10.1049/icp.2022.0595","url":null,"abstract":"Digital documents play an essential role in the day-to-day life of every once life. The documents are shared and exchanged in routine work. At the same time, protecting the document from fraud is a challenging task. The proposed method addresses document forgery detection. In this technique, first, we perform a document enhancement process by removing the noise like salt and pepper and Gaussian using various filtering techniques. Then the enhancement of the contrast by using Histogram Equalization and Contrast stretching. Finally, the deblurring is used to recover the document from degraded observations. In the second process, feature extraction is performed by extracting the color, grey, and entropy features, then the quality measures like Mean Square Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and Structure Similarity Index Matrix (SSIM) are also used as features. In addition, we use Optical Character Recognition (OCR) for fetching textual information. The proposed method performs both textual and image authentication. The proposed method achieved good performance for document forgery detection compared to previous techniques in terms of accuracy.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131188770","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

Energy management using Atmega2560 MCU for residential infrastructure 基于Atmega2560单片机的住宅基础设施能源管理

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0638

P. Nithara, F. Nayak, R. Shashank

引用次数: 0

Explainable AI-based early detection of diabetes for smart healthcare 可解释的基于人工智能的糖尿病早期检测，用于智能医疗

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0608

A. Ahmad, S. Mehfuz

{"title":"Explainable AI-based early detection of diabetes for smart healthcare","authors":"A. Ahmad, S. Mehfuz","doi":"10.1049/icp.2022.0608","DOIUrl":"https://doi.org/10.1049/icp.2022.0608","url":null,"abstract":"Diabetes has become a worldwide epidemic as a chronic disease. Early detection of diabetes without specialized medical instruments may positively impact people's lives. This research aims to construct an intelligent system that uses a machine learning approach to classify diabetic illness. ALTHOUGH, most AI methods are based on mathematical modelling, which is difficult for the common person to comprehend. This research proposes a novel approach within the Explainable AI to explain the knowledge learned by the Machine learning model from Smart Healthcare. Innovative healthcare uses the current generation of digital technologies such as artificial intelligence and cloud computing to completely revolutionize the medical system, making it more efficient and personalized. This work proposes three techniques based on the analysis weights of artificial neurons or nearest neighbors and explaining estimation based on the analysis of training cases. Here, a model is developed with three classifiers to detect diabetes early and explain the most significant input and combination of inputs. The results show remarkable accuracy compared to previous methods, and the explanation makes sense. The hybrid intelligent system can assist medical practitioners in healthcare as a decision support system.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116549631","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

Pipeline inspection using self-transforming hybrid drive quad-copter 利用自变换混合动力四旋翼机进行管道检测

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0620

M. Sivvani, A. Sreekumar, L. Satish Kumar, S. Lokesh Keshav

{"title":"Pipeline inspection using self-transforming hybrid drive quad-copter","authors":"M. Sivvani, A. Sreekumar, L. Satish Kumar, S. Lokesh Keshav","doi":"10.1049/icp.2022.0620","DOIUrl":"https://doi.org/10.1049/icp.2022.0620","url":null,"abstract":"This paper discusses a novel design for a convertible hybrid drive quad-copter that is manually controlled to move across inaccessible places as a drone or a 4-wheeler bot using a self-transforming mechanism, equipped with a camera whose feed is accessed and passed through image processing algorithms to inspect various industrial systems like HVAC pipes and check for defects or anomalies such as rust and cracks in the pipes with advanced deep learning algorithms at the controller side. The designed sprawl mechanism enables the bot to reach narrow places and perform inspections. The novel Power Engage Disengage mechanism is crucial in saving power by delivering it either to the wheels (drive mode) or to the propellers (drone mode), but not both at the same time, making sure power is used efficiently which guarantees a longer run time and allows more area to be covered in a single inspection run. A Convolutional Neural Network is designed to detect multiple potential defects that are precise, accurate and yield faster results. With all these features, the designed convertible hybrid drive quad-copter can break dimensional constraints and provide precise analysis of any industrial structure.","PeriodicalId":224655,"journal":{"name":"7th International Conference on Computing in Engineering & Technology (ICCET 2022)","volume":"32 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131776889","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

The state of the art on ASR systems and feature extraction technique

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0594

M. Malik, Ruqaiya Khanam

引用次数: 0

A novel hybrid technique with optimization for enabling Qos for network controlled vertical handoff mechanism in heterogonous network 针对异构网络中网络控制的垂直切换机制，提出了一种优化的新型混合技术

7th International Conference on Computing in Engineering & Technology (ICCET 2022) Pub Date : 1900-01-01 DOI: 10.1049/icp.2022.0628

M. Patil, R. Patil

引用次数: 0