{"title":"Identification of Cardiovascular Disease using Machine Learning and Ensemble Learning","authors":"Shreya Chopra, Nidhi Kalra, Rinkle Rani","doi":"10.1109/ICIDCA56705.2023.10099508","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099508","url":null,"abstract":"Cardiovascular disease is a very dangerous disease among humans and can be fatal. It describes a condition where blood arteries get constricted or clogged, which can cause a heart attack, chest symptoms, or a stroke. One of the significant challenges faced in research is accurately diagnosing heart disease using health data. Existing techniques have poor performance, potential to bias and limited interpretability. In the proposed study, a system has been developed to identify the presence of cardiovascular disease in a person by applying machine learning algorithms to a heart disease dataset containing information about clinical parameters. The model algorithms used are Random Forest, k Nearest Neighbours, Decision Trees, Logistic Regression, Naive Bayes and Ensemble Learning. For comparison, Principal Component Analysis has been applied for dimensionality reduction on the dataset and then the classification algorithms are applied and the results are compared based on various model performance metrics. The authors of this paper aim to propose system can identify the presence of cardiovascular disease among people efficiently and accurately in a way that is easy to use for all.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365698","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}
{"title":"Emerging Technologies for Prevention and Monitoring of Forest Fire","authors":"Shweta Pandey, Rajesh Singh, Samta Kathuria, Prafful Negi, Gunjan Chhabra, K. Joshi","doi":"10.1109/ICIDCA56705.2023.10099572","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099572","url":null,"abstract":"Forest fires have been a cornerstone of the terrestrial climate for a very long time. The processes that create ecosystems include forest fires, which have a profound impact on the distribution of plant species inside those ecosystems. Forest fires occur due to the increasing industrial emissions, which have also altered the global climate, and it is predicted that the temperature will rise in the coming years, creating a negative effect on the ecosystem. The socio-economic state of the environment and the general health of people will be significantly impacted by these developments. The incidence of more intense forest fires is the main cause for the increasing global temperature. To control the upcoming forest fires, new innovations and technology should be developed. This study reviews a variety of technologies that could be used in the entire range of forest fire warning systems that require more specifically needed administration, such as forest fire forecasting through forest conservation in fired areas. New technologies such as IoT, artificial intelligence and 5G Networks are investigated to implement forest fire control. The efficient operation of upcoming forest fires is dependent on the modification of these technologies. Emerging innovations will play a major role in managing the upcoming forest fire accidents.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129657768","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}
K. Prabhu, K. J. Pradeep, K. Sivasanthosh, K. Srinithi
{"title":"Development of IoT based Wireless Printer","authors":"K. Prabhu, K. J. Pradeep, K. Sivasanthosh, K. Srinithi","doi":"10.1109/ICIDCA56705.2023.10099961","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099961","url":null,"abstract":"People must bring documents on pen drives and stand in long lines to get their hardcopy prints at various institutions. Instead of waiting in long lines, the paperwork will wait for us. The goal is to create a dynamic online application that allows users to wirelessly print documents from any location. This website will host the papers. The website includes a name, page count, printing options such as portrait or landscape, and a UPI payment method. Every floor of the university will have wireless printers installed so that users can choose to print based on the printer's availability (busy or ready state). The idea is to keep a time slot for each user to avoid wasting time in the queue and to list the documents provided by each user on a dynamically generated live request page using a scheduling algorithm. Additionally, each user's documents are kept secure during printing, and in addition to wallet recharge, printed papers are stored using a storage tray. The printer that will be used is set up in the storage tray. The wireless printer is used for this. A wireless printer is one that doesn't require any connections to be made between the computers, phone, or other device. Printers are connected to the server to recover files. Additionally, anyone can send and receive files through it","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127392933","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}
{"title":"Alzheimer's Disease Classification using Convolutional Neural Networks","authors":"Archana B, K. Kalirajan","doi":"10.1109/ICIDCA56705.2023.10100046","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100046","url":null,"abstract":"Deep learning has got tremendous popularity in recent years for addressing problems in wide range of sectors, including medical image research. Alzheimer's Disease (AD) is a broad brain degeneration-related neurodegenerative disease that causes progressive mental decline in both middle-aged and elderly people. Imaging and laboratory testing can rule out additional potential causes and helps in the diagnosis the symptoms of dementia. Adults who have Alzheimer's disease have varied degrees of memory loss and knowledge forgetting. This the statement implies that how much its important in for the early disease diagnosis. In this article, deep learning techniques are implemented to classify brain neuro images such as MRI dataset ADNI into groups for Mild cognitive impairment (MCI), Alzheimer's Disease (AD), Cognitively Normal (CN) and Healthy Person. According to the results, CNN's classification rate was outperformed by the images being classified with accuracy of 95.82%.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127530070","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}
Samreen Kazi, Arsheen Kazi, Leon D'souza, Akshay Loke
{"title":"NFT Marketplace using Blockchain","authors":"Samreen Kazi, Arsheen Kazi, Leon D'souza, Akshay Loke","doi":"10.1109/ICIDCA56705.2023.10100326","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100326","url":null,"abstract":"Blockchain is a new, emerging, and pioneering technology under which the society has evolved from the existing Web 2.0 to the innovative Web 3.0. Blockchain paves the way to a decentralized system diverging from the current centralized system. One such captivating phenomenon in the Blockchain would be that of NFTs. NFTs are non-fungible tokens; they are a form of digital art and could be anything from pictures, music, videos, or games. NFTs could be considered the real-world equivalent of indispensable assets like gold, silver, stocks, or bonds. They are unique and have predominant characteristics that make them invaluable to their collectors, admirers or even creators allowing them to be a great source of investment and trading. This great potential in acquiring a large capital is what makes the establishment of a platform that could be used by both creators and consumers for doing dealings in NFTs exceedingly compelling. This paper puts forth a way to develop an NFT marketplace i.e., a decentralized application(dApps) for the trade of NFTs. For this cutting-edge application, some key and fundamental concepts such as smart contracts, wallets, token standards and a lot more are explored. A system design has been proposed that highlights all the essential features like minting, listing, buying, and selling of NFTs. A precise analysis of the benefits and limitations associated with NFTs, and their marketplaces is done. Benefits being immutability, security and tokenization and the limitations being gas fees, legal issues, and environmental concerns, to properly determine the feasibility and value of developing such an application.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128899775","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}
{"title":"Applications of Metaverse in the Healthcare Industry","authors":"Bhanu Bhatia, S. Joshi","doi":"10.1109/ICIDCA56705.2023.10099897","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099897","url":null,"abstract":"Healthcare has always been a very profitable and resource-intensive industry, and it is also one of the only ones that have never reached a digital transformation peak. A network of 3D virtual worlds centered on social interaction is known as a metaverse. As the world becomes more dependent on technology, more consideration must be given to both individual privacy and the solutions offered by cybersecurity companies. In the metaverse, patient data security is a challenge. High-tech wearables including glasses, gloves, sensors, and other wearables that can detect patients' vital signs are needed in order to fully utilize the metaverse in healthcare. Technology is constrained since the hardware is still pricey and cannot be accessed by many members of society. The health Metaverse framework primarily focuses on telemedicine and online health management, multimodal medical information standards, the fusion of medical and social data, and medical artificial intelligence. Additionally, it offers crucial inventive dynamism in surgical procedures, medical education, and the interactions between service providers and clients. Technology improvements, gamification of healthcare, patient privacy protection, and barriers stopping individuals from giving up reality are all obstacles. This technological advancement had a lot to offer the ailing medical infrastructure industry, including telemedicine services, virtual examinations employing VR, AR, and blockchain to assure secure data and financial transmissions, as well as a variety of other as-yet untapped possibilities. Data security, data interoperability, and laws are just a few of the difficulties that the healthcare sector in the metaverse will face. To address these issues, new infrastructure, standards, and procedures will be required. This study looks at a number of issues that affect the healthcare industry and how to address them when the metaverse enters the mainstream of healthcare.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125540394","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}
R. Bhalerao, Pratik Gite, Preet Patil, Rahul Gupta, Shubham Singh
{"title":"Decentralized E-health Patient Record Management System using Blockchain and IPFS","authors":"R. Bhalerao, Pratik Gite, Preet Patil, Rahul Gupta, Shubham Singh","doi":"10.1109/ICIDCA56705.2023.10100060","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100060","url":null,"abstract":"The usage of Electronic Health Records (EHR) is becoming increasingly widespread globally. However, there are several issues with the current EHR systems, particularly in terms of privacy and security. Some of the major challenges faced by the current systems are limited infrastructure, shortage of trained healthcare personnel, lack of funding, limited usability, data privacy, lack of proper planning and limited access to technology. The proposed solution addresses many of these problems by utilizing a public Ethereum blockchain to connect hospitals, patients, and doctors worldwide. By utilizing RSA asymmetric key cryptography, the system ensures secure storage and controlled access to records. Patients are given full control over their records and are able to grant or revoke access for hospitals or healthcare centers. Additionally, the system employs IPFS (Interplanetary File System) for record storage to offer the benefits of being decentralized and providing immutability of records. Furthermore, our model is able to maintain disease statistics while maintaining patient privacy.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120909660","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}
Sanjay Kumar Manthati, S. S, Kruthik Yadav Nanubothula, P. Devulapalli
{"title":"Energy-Efficient Cooperative Image Transmission in Multi-Hop Wireless Multimedia Sensor Networks","authors":"Sanjay Kumar Manthati, S. S, Kruthik Yadav Nanubothula, P. Devulapalli","doi":"10.1109/ICIDCA56705.2023.10100081","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100081","url":null,"abstract":"In scalar wireless multi-media sensor networks, almost all the nodes are connected via the internet (IOT devices). The amount of image, video and data transmission has increased significantly. The count of sensor nodes in a network has also increased, but still using an antiquated system for data compression and transmission may lead this well-driven network to work as same as something that started from scratch. To vanquish this, the best compression technique with a well-driven methodology is needed. This research work proposes an internet-based image-encoded method Coherent Energy Cooperative Image Transmission (CECIT) to achieve a better compression rate with lower energy consumption. Further, the performance of CECIT is improved by effectively utilizing the auto-correction code feature present in the QR code. Upon comparing the suggested technique to state-of-the-art algorithms, the simulation results demonstrate that it performs better and uses around 24.4% less energy.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122642424","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}
Damandeep Kaur, Simarjeet Kaur, K. Sharma, Rani Kumari
{"title":"Comparative Study of Different Deep Learning Techniques for Diagnosis of Brain Tumor","authors":"Damandeep Kaur, Simarjeet Kaur, K. Sharma, Rani Kumari","doi":"10.1109/ICIDCA56705.2023.10099922","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10099922","url":null,"abstract":"Brain tumors are formed when abnormal brain cells proliferate, some of which may evolve into cancer. The method most frequently used to detect brain tumors is an MRI scan. The results of the MRI scans can be used to determine information about abnormal tissue growth in the brain. With the advancement of technology in medical science, early detection of tumors is possible which increases life expectancy. In academic studies, deep learning and machine learning techniques are utilized to detect brain tumors. Using these algorithms on MRI images takes incredibly little time to predict a brain tumor, and the increased accuracy simplifies patient treatment. Many researchers worked on different algorithms of Deep Learning/Machine Learning for the detection of a Brain tumor which predicts their location, size texture and identifies their type using various parameters like Mean square Error and accuracy but not obtained high accuracy and they lack comparative analysis So this paper shows the comparative analysis of different techniques of machine Learning/deep learning approaches used in the detection of Brain tumor and among these techniques RNN proved to be the best in terms of accuracy.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128071308","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}
M. Cp, Aditi Manjunath, Hams a G, Dilip Bt, Sagar G
{"title":"A Novel Vehicle Security System using Driver's License and Fingerprint Automation","authors":"M. Cp, Aditi Manjunath, Hams a G, Dilip Bt, Sagar G","doi":"10.1109/ICIDCA56705.2023.10100168","DOIUrl":"https://doi.org/10.1109/ICIDCA56705.2023.10100168","url":null,"abstract":"Vehicle theft has increased dramatically in recent years. The proportion of unlicensed motorists has increased, and as a result, manufacturers bear a huge responsibility to provide an inbuilt antitheft system to prevent and protect vehicles from theft. This research work has attempted to develop a vehicle security system. The proposed vehicle anti-theft model includes a system reader module for wireless fingerprinting, Arduino, RFID reader, FP module, GSM. The data used in the model are a valid digital driver's license and fingerprint. From the results, it is evident that the proposed model can enable human safety and vehicle theft protection at the lowest possible cost.","PeriodicalId":108272,"journal":{"name":"2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117165274","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}