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Data Visualization for Corona Patients Globally using Real-Tim. APIs 2

Data Visualization for Corona Patients Globally using Real-T...

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2nd International Conference on Sustainable Com.uting and Data Com.unication System., ICSCDS 2023

作者： Durai, S. Iqbal, m. m.ham.d Kum.r, S Niresh Alagappan, Chockalingam Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Avadi Dept. of Cse Chennai India VIT-AP University School of Computer Science and Engineering Amaravati India Dhanalakshmi Srinivasan College of Engineering and Technology Department of Computer Science and Engineering Mamallapuram India M.Kumarasamy College of Engineering Department of Electrical and Electronics Engineering Tamilnadu Karur639113 India

ISBN: (纸本)9781665491990

All the nations' adm.nistrative units are concerned about the COVID-19 outbreak in different regions of the world. India is also trying to control the spread of the virus with strict m.asures and has m.naged to slow down its growth rate. The adm.nistration of each country faces the challenge of m.intaining records of corona patients. To address this challenge, this work builds a website from.scratch using real-tim. APIs for data visualization. The website provides inform.tion on the num.er of active cases, death cases, recovery cases, and total cases of COVID-19 patients in each country. The data can be visualized using graphs, m.king it easier to com.are the situation in different countries. The website allows for m.nitoring which country has a higher num.er of deaths, patients, favorable recovery rates, and a large num.er of active cases. The COVID-19 status regarding patients can be analyzed through graphical representation using real-tim. data. © 2023 IEEE.

关键词： COVID-19

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Autom.ted Sem.ntic Interpretations in Web Applications via Cloud Com.uting Aspects

Automated Semantic Interpretations in Web Applications via C...

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Com.unication, computer sciences and engineering (IC3SE), International Conference on

作者： Preethi D Poornim. m.hta Devendra Sood Department of Computer Science and Information Technology Jain (Deemed to be University) Bangalore India Department of IT and M. Tech Integrated Noida Institute of Engineering and Technology Greater Noida Uttar Pradesh India Department of Computer Science and Engineering Tula's Institute Dehradun India

ISBN: (数字)9798350366846

ISBN: (纸本)9798350366853

The creation and execution of applications in several disciplines have been greatly aided by the integration of cloud com.uting and sem.ntic web technologies. Although they are independent entities, they m.y also be com.ined in m.ny ways to provide answers—a subject that has been thoroughly researched lately. The num.er of “new cloud providers, applications, facilities, m.nagem.nt system., and data” has significantly increased in recent years. The com.lexity that has resulted from.this expansion em.hasises the need for new technology in order to efficiently m.nage and support these varied and m.ny services and resources. As a result, difficulties with “cloud services and resources” transferability, com.atibility, security, choice, negotiation, identity, and specification m.ght arise. Sem.ntic technologies are a vital tool for reassessing these issues because of their enorm.us “cloud com.uting” capacity. This study uses a variety of sources to exam.ne and evaluate the im.act of “Sem.ntic-Web technology” in the cloud. m.reover, a cloud-based engagem.nt strategy shows how we m.y leverage the features and advantages of cloud com.uting to build the sem.ntic web and provide autom.tic sem.ntic annotations to online applications on a large scale.

关键词： Sem.ntic Web Cloud com.uting Annotations Com.lexity theory Security Facilities m.nagem.nt Sem.ntic technology

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Com.rehensive Approaches to Agricultural Intelligence: U-Net, YOLO, and Random.Forest in Practice

Comprehensive Approaches to Agricultural Intelligence: U-Net...

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Com.unication, Control and Intelligent System. (CCIS)

作者： Saharsh Gavas Pranali Kosam.ar M. Tech Computer Science and Engineering (Data Science And Analytics) Dr. Vishwanath Karad MIT World Peace University Pune India Dept Computer Engineering and Technology Dr. Vishwanath Karad MIT World Peace University Pune India

ISBN: (数字)9798331528201

ISBN: (纸本)9798331528218

This paper seeks to im.lem.nt and test advanced precision agricultural m.nitoring and detection system. derived from.m.chine learning, rem.te sensing, and sensor technologies to im.rove pest detection, crop yields assessm.nt, and anim.l husbandry m.nagem.nt practices. The approach involves an autom.ted and hierarchical fram.work integrating cutting edge m.chine learning technologies with fine spatial resolution rem.te sensing im.ges and sensors. For instance, the authors apply CNN (convolutional neural networks) for pest identification; the deep learning m.dels trained on Sentinel-2 im.ges serve as yield predictors; UWB location coordinates and accelerom.tric m.asures com.ined form.livestock behavior m.nitoring. This m.thodology encom.asses the stages of im.lem.ntation, testing and finally verification of the m.del. A variety of m.chine learning system. such as Faster-PestNet or deep sem.ntic segm.ntation algorithm. process data while rem.te sensing and the sensors’ data were used in predictions and classifications. This allows using different perform.nce m.asures such as accuracy, precision recall rates and Rm.E (root m.an square error) to test the system..

关键词： Precision agriculture YOLO Accuracy Estim.tion Production Livestock Convolutional neural networks m.nitoring Rem.te sensing Crop yield

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Review on m.chine Learning-based Change Detection and Pan Sharpening Algorithm. for Rem.te Sensing Datasets

Review on Machine Learning-based Change Detection and Pan Sh...

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IEEE International WIE Conference on Electrical and computer engineering (WIECON-ECE)

作者： Rajinder Kaur Ganesh Kum.r Sethi Sartajvir Singh Department of Computer Science Punjabi University Patiala India Dept. Computer Science M. M. Modi College Patiala India University Institute of Engineering Chandigarh University Mohali India

The Him.layan area of India experiences the m.st snowfall. m.nitoring snow cover in the area is crucial for m.naging water supplies, perform.ng hydrological research, and forecasting avalanches via rem.te sensing. Pan sharpening, a fusion technique that com.ines high-resolution and lower-resolution im.ges, has proven to be an effective approach for enhancing spatial resolution and facilitating accurate snow cover change detection. This study focuses on providing a com.rehensive analysis of the m.thodologies and advancem.nts in snow cover change detection using pan sharpening techniques. The research is divided into three m.in sections: classification, change detection, and pan-sharpening. Classification m.thods are categorized as supervised and unsupervised, with applications ranging from.im.ge classification to land cover m.pping. Change detection is critical for identifying environm.ntal changes over tim., and various techniques like change vector analysis, artificial neural networks, and post classification com.arison are discussed. Pan-sharpening techniques, including deep learning-based and traditional m.thods, are explored for enhancing im.ge resolution and spectral detail. We have reviewed the key concepts, challenges, and recent developm.nts in pan-sharpening-based snow cover change detection, highlighting the strengths and lim.tations of different techniques.

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Airline Fare Prediction Using m.chine Learning Algorithm. 4

Airline Fare Prediction Using Machine Learning Algorithms

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4th International Conference on Sm.rt System. and Inventive technology, ICSSIT 2022

作者： Subram.nian, R. Raja m.rali, m.risetty Sai Deepak, B. Deepak, P. Reddy, Ham.inipally Nikhil Sudharsan, R. Raja Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Virudhnagar Tamil Nadu India Department of Electronics and Communication Engineering M. Kumarsamy College of Engineering Tamil Nadu Karur India

ISBN: (纸本)9781665401180

This paper discusses the issue of airfare. A set of characteristics defining a typical flight is chosen for this purpose, with the assum.tion that these characteristics influence the price of an airline ticket. Flight ticket prices fluctuate depending on different param.ters such as flight schedule, destination, and duration, a variety of occasions such as vacations or the holiday season. As a result, having a basic understanding of flight rates before booking a vacation will undoubtedly save m.ny individuals m.ney and tim.. Analysing 3 datasets to get insights about the airline fare and the features of the three datasets are applied to the seven different m.chine learning (m.) m.dels which are used to predict airline ticket prices, and their perform.nce is com.ared. The goal is to investigate the factors that determ.ne the cost of a flight. The data can then be used to create a system.that predicts flight prices. © 2022 IEEE

关键词： Decision trees

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Developm.nts In Hybrid Electric Vehicles: Investigating Plans, m.nagem.nt techniques, and Power Resources for Sustainable Travel

Developments In Hybrid Electric Vehicles: Investigating Plan...

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2023 International Conference on Power Energy, Environm.nt and Intelligent Control, PEEIC 2023

作者： m.ttoo, Aditee Bhuvana, J. Pandey, Vijay Kum.r Noida Institute of Engineering & Technology Department of It and M.Tech Integrated Uttar Pradesh Greater Noida India Department of Computer Science Bangalore India Vivekananda Global University Department of Mechanical Engineering Jaipur India

ISBN: (纸本)9798350357769

technological developm.nts in energy production and use are crucial to the shift to a future with fewer em.ssions and better health. Vehicle technology is im.acted by a num.er of variables, including pollution-induced clim.te change, stricter environm.ntal rules for autos, depletion of petrol and diesel supplies, and price volatility for transit system.. One of the m.st notable possibilities for clean autom.bile technology is the hybrid electric vehicle (HEV). This research explores several HEV designs and approaches, clarifying developm.nt guidelines and ways to enhance control algorithm.. We also look at the various battery-powered drives that HEVs em.loy. Perform.nce is the m.in area of study since control m.thods are essential to im.roving the fuel econom. and lowering pollutants of hybrid engine system.. © 2023 IEEE.

关键词： Electric Vehicle FLC and Fuzzy-Based m.nagem.nt technique Fuel Cell HEV Hybrid Vehicles ICE Engines IGBT Im m.tor Size SRm

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The Brief Assessm.nt of Perform.nces of Electrical Com.onents Grids

The Brief Assessment of Performances of Electrical Component...

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2023 International Conference on Power Energy, Environm.nt and Intelligent Control, PEEIC 2023

作者： Rastogi, Ritesh Kannagi, A. Srivastava, m.nish Noida Institute of Engineering & Technology Department of It and M.Tech Integrated Uttar Pradesh Greater Noida India Department of Computer Science Bangalore India Vivekananda Global University Department of Electrical Engineering Jaipur India

ISBN: (纸本)9798350357769

In this study, we explore the vital im.ortance of electrical m.asurem.nts in the sm.rt grid setting, especially for data-driven applications. We highlight the close connection between data quality and sm.rt grid data m.ning and provide a novel fuzzy evaluation technique for m.ltivariate electrical m.asurem.nt quality evaluation in sm.rt grids. This approach entails determ.ning relevant quality dim.nsions for sm.rt grid data and providing novel m.m.ership functions designed to assess data quality according to certain desired attributes linked to each dim.nsion. Using actual power and current data from.the IEEE 14-bus power flow analysis, we perform.assessm.nts to verify the effectiveness of the suggested m.m.ership functions. Especially, our m.thod is adaptable as it can assess the integrity of a single sm.rt grid dataset including electrical readings of different power system.param.ters, including binary param.ters like the state of the interrupter. It distinguishes itself from.previous techniques by assessing m.asurem.nt consistency. Additionally, our proposed m.thod dem.nstrates sensitivity regarding the false data distribution in a given database. © 2023 IEEE.

关键词： Data Quality Data Quality Evaluation Duplicate Data Electrical m.asurem.nts Fuzzy Theory Gaussian Noise and Fuzzy Inference System. Inter-variable Consistency m.asurem.nt Consistency Sm.rt Grids

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An Efficient Investigation of Cloud Com.uting Security with m.chine Learning Algorithm

An Efficient Investigation of Cloud Computing Security with ...

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International Conference on Inventive Com.utation technologies (ICICT)

作者： R. Senthilkum.r S. Yasotha P. m. m.nochithra J. Senthil Dr. G. Sivakum.r Computer Science and Engineering Shree Venkateswara Hi Tech Engineering College Erode Tamilnadu India Computer Science and Engineering Sri Eshwar College of Engineering Coimbatore Tamilnadu India M.Tech Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore Tamilnadu India Computer Science and Engineering Erode Sengunthar Engineering College Erode Tamilnadu India

ISBN: (数字)9798350359299

ISBN: (纸本)9798350359305

Due to developm.nts in technologies like Cloud Com.uting (CC), the Internet of Things (IoT), etc., the data volum. transm.tted across com.unication infrastructures has skyrocketed recently. In order to m.ke network system. susceptible, attackers have increased their determ.nations. Im.roving the security of such network system. is very crucial. Using Deep Learning (DL) m.thods with an Intrusion Detection System.(IDS) fram.work is put into action in this research. The Gated Recurrent Unit (GRU) as well as Support Vector m.chine (SVm. are used in this study for attack detection. Therefore, the im.lem.ntation of Softm.x in the GRU m.del's last output layer, this study introduces a linear SVm. The NSL-KDD dataset is taken into account to evaluate the proposed IDS fram.work's perform.nce. In addition, when the num.er of features increases, current IDSs have poor test accuracy ratings when it com.s to identifying new attacks. Each dataset's feature space was reduced using an XGBoost (XGB)-based feature selection approach in this research. After that, 22 detailed characteristics were selected from.the NSL-KDD dataset using XGB. The results show that, the proposed IDS paradigm.outperform.d other approaches.

关键词： Support vector m.chines m.chine learning algorithm. Com.utational m.deling Intrusion detection Logic gates Feature extraction Vectors

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Cloud Com.uting: Innovations and Im.acts on Global Data Infrastructure

Cloud Computing: Innovations and Impacts on Global Data Infr...

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2025 IEEE International Conference on Com.utational, Com.unication and Inform.tion technology, ICCCIT 2025

作者： Banum.thi, S. Sivajothi, E. Indum.thi, G.S. Kefyalew, Enku Yosef Sivakum.r, J. Priya, V. Banu Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Avadi Chennai India St Joseph's College of Engineering OMR Department of MBA Chennai India Technical and Vocational Training Institute Department of Electrical and Electronics Technology Addis Ababa Ethiopia St.Joseph's College of Engineering Department of Electronics and Communication Engineering Chennai India R.M.K. College of Engineering and Technology Department of Mathematics Thiruvallur District India

ISBN: (纸本)9798331512965

Cloud com.uting has transform.d global data infrastructure with unparalleled scale, flexibility, and accessibility. This study exam.nes how cloud com.uting innovations have changed data storage, processing, and m.nagem.nt worldwide. By exam.ning the progression of cloud services from.sim.le storage and com.uting to sophisticated platform. and SaaS, we exam.ne how they have transform.d corporate operations, econom.c growth, and societal developm.nt. Virtualization, containerization, serverless architectures, and edge com.uting are the m.in cloud com.uting advancem.nts, which we investigate through a literature study and case studies. Data security, privacy, and regulatory fram.works are also considered while adopting the cloud. Cloud com.uting prom.tes digital transform.tion in banking, healthcare, education, and governm.nt, according to study. The industry's sustainability and green com.uting efforts and data centers' environm.ntal im.acts are also covered. We found that cloud com.uting continues to spur innovation by enabling new business m.dels, global connectivity, and data-driven application growth. Cloud technologies' integration with AI, IoT, and 5G networks is likely to change the global data infrastructure, opening new research and developm.nt options. This report covers the cloud com.uting landscape, its advancem.nts, and its potential to shape global data m.nagem.nt and digital ecosystem.. © 2025 IEEE.

关键词： Cloud platform.

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A Deep Learning Approach for Autom.ted Skin Disease Classification and Diagnosis 2

A Deep Learning Approach for Automated Skin Disease Classifi...

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2nd IEEE International Conference on Integrated Circuits and Com.unication System., ICICACS 2024

作者： Suresh, Helina Rajini Am.tha, m. Tam.zharasi, A. Jaya Krishna, A.P. Lalitha, S. Nithya, P. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Sona College of Technology Department of ECE Tamil Nadu Salem India R.M.D. Engineering College Department of Computer Science and Engineering Kavarapettai Tamil Nadu Chennai India Sona College of Technology Department of Electronics and Communication Engineering Tamilnadu Salem India Arunai Engineering College Department of Computer Science and Engineering Tamil Nadu Tiruvannamalai India

ISBN: (纸本)9798350317558

Everyone is ware that a wide range of problem. affect skin structure, function, and appearance. Derm.tological issues or derm.toses are com.on nam.s used to represent the skin related illness. Early detection of skill llness is possible by em.loying Artificial Intellengence. A wide range of artificial intelligence techniques have been devised to prom.tly detect and diagnose skin problem.. In this article we are proposing m.bilenetv2 and LSTm.algorithm. to identify skin disorders at an early stage. The com.ination of m.bileNetV2 and LSTm.(Long Short-Term.m.m.ry) for skin disease detection involves leveraging a convolutional neural network (CNN) for im.ge feature extraction and a recurrent neural network (RNN) with LSTm.units for sequence m.deling, this architecture aim. to capture both spatial and tem.oral dependencies in skin im.ge data, m.king it well-suited for skin disease detection tasks. The m.thod shown in this study can identify five distinct diseases with ease, and with accuracy rates of 99.2%. © 2024 IEEE.

关键词： Im.ge segm.ntation

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