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  IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title

Volume 10 | Issue 5 |

Volume 10 | Issue 5 | Month  
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  Paper Title: SHER SHAH ABADI, NURISTANI BA ARABDESHIYA? SHERSHABADIA SOMPORKE NOTUN TOTWER SOMALOCHONA

  Author Name(s): Dr. Md. Abdul Wahab

  Published Paper ID: - IJCRT2205891

  Register Paper ID - 220790

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205891 and DOI :

  Author Country : Indian Author, India, 732101 , Malda Town, 732101 , | Research Area: Arts1 All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205891
Published Paper PDF: download.php?file=IJCRT2205891
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205891.pdf

  Your Paper Publication Details:

  Title: SHER SHAH ABADI, NURISTANI BA ARABDESHIYA? SHERSHABADIA SOMPORKE NOTUN TOTWER SOMALOCHONA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Arts1 All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h584-h590

 Year: May 2022

 Downloads: 298

  E-ISSN Number: 2320-2882

 Abstract


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Shershabadia, Sher Shah Abadi, Nuristani, Quraishi, Sarsabad, Shershabadi.

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  Paper Title: NANOTECHNOLOGY FOR CANCER TREATMENT

  Author Name(s): Rohit shashikant jadhav, Shubham balkrishna yadav, Rahul rajendra jadhav

  Published Paper ID: - IJCRT2205890

  Register Paper ID - 220766

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205890 and DOI :

  Author Country : Indian Author, India, 411044 , Pune, 411044 , | Research Area: Pharmacy All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205890
Published Paper PDF: download.php?file=IJCRT2205890
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205890.pdf

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  Title: NANOTECHNOLOGY FOR CANCER TREATMENT

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Pharmacy All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h578-h583

 Year: May 2022

 Downloads: 244

  E-ISSN Number: 2320-2882

 Abstract

Nanotechnology has applications in practically every department of science, including physics, biology, chemistry, medicine, and engineering. One of the most potential applications of nanotechnology is in medical technology. Designing multifunctional nanoparticles capable of targeting cancer cells, delivering and releasing medications in a controlled manner, and detecting cancer cells with high specificity and sensitivity are just a few examples of how nanotechnology might be used to treat cancer. Chemotherapy and radiation are well-known cancer therapies, but they have various drawbacks, such as a lack of early illness identification and non-local medication distribution. Because the exact medication concentration reaches not just the tumor site but is disseminated throughout the body, these therapies have a limited capacity to cure and monitor the drug's effect in the human body. To some extent, nanotechnology has allowed us to circumvent these restrictions.


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 Keywords

Nanotechnology, Nanoparticles, Cancer,

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  Paper Title: MEETALL MEETING APPLICATION

  Author Name(s): Amit Kumar, Raveendra Bharti, Mohtashim Kamran, Pratyush Kumar Chaubey, Iti Kaushik

  Published Paper ID: - IJCRT2205889

  Register Paper ID - 220822

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205889 and DOI :

  Author Country : Indian Author, India, 110074 , South Delhi, 110074 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205889
Published Paper PDF: download.php?file=IJCRT2205889
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205889.pdf

  Your Paper Publication Details:

  Title: MEETALL MEETING APPLICATION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h572-h577

 Year: May 2022

 Downloads: 226

  E-ISSN Number: 2320-2882

 Abstract

MeetAll is a video calling web app which basically provides a direct real-time connection with remote devices after connecting with the server. It uses a peer-to-peer audio and video calling application function. In order to initiate the connection, users have to go through the signalling server to identify and locate the remote peers. After the session is established, two-way direct connection can be activated without going through the signalling server. MeetAll is assumed to be used by two persons at one session. Users can use their own workstation or any other devices as long as it contains an HTML5-enabled browser and the browsers supported by Web Real-Time Communications(WebRTC).


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Web Real-Time Communications(WebRTC).

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  Paper Title: SPEEDY CLEARANCE OF EMERGENCY VEHICLES IN TRAFFIC CONTROL SYSTEM.

  Author Name(s): Aamir Mushtaque Khan, Dr. P. S. Choudhary

  Published Paper ID: - IJCRT2205888

  Register Paper ID - 220824

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205888 and DOI :

  Author Country : Indian Author, India, 444701 , Badnera, 444701 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205888
Published Paper PDF: download.php?file=IJCRT2205888
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205888.pdf

  Your Paper Publication Details:

  Title: SPEEDY CLEARANCE OF EMERGENCY VEHICLES IN TRAFFIC CONTROL SYSTEM.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h566-h571

 Year: May 2022

 Downloads: 278

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Embedded System, Arduino-Nano, Traffic Lights, RF Module.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: INEQUALITIES IN HEALTH AND NUTRITIONAL STATUS IN INDIA: A CRITICAL REVIEW OF NFHS AND NNMB DATASETS THROUGH A PUBLIC HEALTH PERSPECTIVE

  Author Name(s): Istikhar Ali

  Published Paper ID: - IJCRT2205887

  Register Paper ID - 220791

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205887 and DOI :

  Author Country : Indian Author, India, 110067 , Delhi, 110067 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205887
Published Paper PDF: download.php?file=IJCRT2205887
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205887.pdf

  Your Paper Publication Details:

  Title: INEQUALITIES IN HEALTH AND NUTRITIONAL STATUS IN INDIA: A CRITICAL REVIEW OF NFHS AND NNMB DATASETS THROUGH A PUBLIC HEALTH PERSPECTIVE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h550-h565

 Year: May 2022

 Downloads: 229

  E-ISSN Number: 2320-2882

 Abstract

Public health is an art and science which promotes and protects the health of the individual and the community where they live, learn, work, and play. Public health aims to understand and influence the socioeconomic determinants of health and to study the structure of health systems as efficient channels for health services (PHFI, 2014). The national datasets show variations and inequalities in health status, health access, and nutritional status across socio-religious groups in India (Government of India, 2006, 2007a, 2007b, 2014). The statistical surveys documenting child mortality highlighted higher rates among SCs/STs, followed by Muslims. Similarly, stunting, wasting, underweight, and anaemia in children and adults are higher among Muslims with marginal differences between SCs/STs. National reports also documented a similar picture of low lower accessibility and utilization of health services among Muslims. Muslims are worse off than most other communities concerning child under-nutritional statuses. The study aims to understand inequality in health and nutritional status across different religious groups in India and its association with socioeconomic status. The study is based on a review of secondary data available on different socioeconomic variables, health status, nutritional status, and accessibility of health services, especially for Muslims. The relevant data from available large scale data sets are identified, compiled, and analyzed. To conclude, the study disclosed that health inequalities escalate according to social inequalities. The study provides a substantial base for future studies to look at other dimensions of public health among Muslims.


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 Keywords

Inequalities, Public Health, Socioeconomic, Muslim, and India

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  Paper Title: SMART EXERCISE COUNTER USING COMPUTER VISION

  Author Name(s): M.Sashrutha, R.Ramya, G.SaiSunitha

  Published Paper ID: - IJCRT2205886

  Register Paper ID - 220779

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205886 and DOI :

  Author Country : Indian Author, India, 613703 , Chennai, 613703 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205886
Published Paper PDF: download.php?file=IJCRT2205886
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205886.pdf

  Your Paper Publication Details:

  Title: SMART EXERCISE COUNTER USING COMPUTER VISION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h546-h549

 Year: May 2022

 Downloads: 309

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Exercise counter, curl counter, Pushup counter, AI Gym

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: HAND TRACKING SYSTEM

  Author Name(s): Gaurav Saini, Gaurav Mandhyan, Er Akansha Singh

  Published Paper ID: - IJCRT2205885

  Register Paper ID - 220785

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205885 and DOI :

  Author Country : Indian Author, India, 226024 , Lucknow, 226024 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205885
Published Paper PDF: download.php?file=IJCRT2205885
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205885.pdf

  Your Paper Publication Details:

  Title: HAND TRACKING SYSTEM

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h541-h545

 Year: May 2022

 Downloads: 261

  E-ISSN Number: 2320-2882

 Abstract

The project introduces an application using computer vision for Hand gesture recognition. A camera records a live video stream, from which a snapshot is taken with the help of interface. The system is trained for each type of count hand gestures (one, two, three, four, and five) at least once. After that a test gesture is given to it and the system tries to recognize it. Research was carried out on a number of algorithms that could best differentiate a hand gesture. It was found that the diagonal sum algorithm gave the highest accuracy rate. In the preprocessing phase, a self-developed algorithm removes the background of each training gesture. After that the image is converted into a binary image and the sums of all diagonal elements of the picture are taken. This sum helps us in differentiating and classifying different hand gestures.


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 Keywords

Machine Learning, Augmented Reality, Neural Networks.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: CASE STUDY ON PILE FOUNDATION

  Author Name(s): Ramdas Thombare, Sandip Hipparkar, Abhishek Pawar, Jay shendge

  Published Paper ID: - IJCRT2205884

  Register Paper ID - 220774

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205884 and DOI :

  Author Country : Indian Author, India, 412110 , Pune, 412110 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205884
Published Paper PDF: download.php?file=IJCRT2205884
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205884.pdf

  Your Paper Publication Details:

  Title: CASE STUDY ON PILE FOUNDATION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h536-h540

 Year: May 2022

 Downloads: 319

  E-ISSN Number: 2320-2882

 Abstract

Pile foundation are commonly adopted to transfer the loads from the superstructure through weak strata onto the stiffer soils or rocks. Therefore the reliability of pile-supported depends largely on the behavior of the piles. Pile Foundation consist of piles that are dug into soil till a layer of stable soil is reached. Pile foundation transfer building load to the bearing ground with the greater bearing capacity. Pile foundation are useful in region with unstable upper soil that may erode, or for or for large structures. Pile foundations are often required to resist lateral loading. Lateral loads come from a variety of sources including wind, earthquakes, waves, and ship impacts.


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 Keywords

CASE STUDY ON PILE FOUNDATION

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  Paper Title: WEB BASED CLASSROOM WITH EDUCATION TOOLS

  Author Name(s): Vedant Satpute, Simran Agarwal, Chinmay Gawde, Apoorva Mandhare, Sonali Lunawat

  Published Paper ID: - IJCRT2205883

  Register Paper ID - 220782

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205883 and DOI :

  Author Country : Indian Author, India, 416115 , Ichalkaranji, 416115 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205883
Published Paper PDF: download.php?file=IJCRT2205883
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205883.pdf

  Your Paper Publication Details:

  Title: WEB BASED CLASSROOM WITH EDUCATION TOOLS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h531-h535

 Year: May 2022

 Downloads: 255

  E-ISSN Number: 2320-2882

 Abstract

The COVID-19 pandemic has resulted in schools shutting all across the world. Globally, over 1.2 billion children are out of the classroom. As a result, education has changed dramatically, with the distinctive rise of e-learning, whereby teaching is undertaken remotely and on digital platforms. Research suggests that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus has caused might be here to stay. E-Learning is an advanced system and powerful tool which supports teaching and learning by the use of Information and communication technology. It bridges the gap between a teacher and a student in different geographical locations. E-Learning is the use of technology to enable people to learn anytime and anywhere. In this presentation, we are presenting the idea of our web-based E-Learning Classroom platform. This app contains various features that are essential for conducting online learning such as Live Video Lectures, Online IDE, Assessments tool, Assignments Tool, etc. We are also presenting the workflow for the development behind this app, the stakes involved, and the scope of this app in the real world.


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 Keywords

E-Learning, Cloud Computing, Web Application Model, WebRTC

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  Paper Title: DIABETES PREDICTION USING MACHINE LEARNING

  Author Name(s): Sivanarayanan M, Sundar Naveen Kumar C, Vijaya Kumar S

  Published Paper ID: - IJCRT2205882

  Register Paper ID - 220773

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205882 and DOI :

  Author Country : Indian Author, India, 625014 , Madurai, 625014 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205882
Published Paper PDF: download.php?file=IJCRT2205882
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205882.pdf

  Your Paper Publication Details:

  Title: DIABETES PREDICTION USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: h526-h530

 Year: May 2022

 Downloads: 320

  E-ISSN Number: 2320-2882

 Abstract

Diabetes is a disease caused by a high level of glucose in the human body. Diabetes should not be ignored if it is not treated, then Diabetes can cause serious problems for a person such as: heart problems, kidney problems, high blood pressure, eye damage and can affect other parts of the human body. Curing diabetes can be easier if it is predicted earlier. In order to achieve this project goal we will be able to predict Diabetes in the human body or patient with the highest accuracy by applying, Various Machine Learning Strategies. Machine learning is used to predict accurate values with the available set of patient informations so the accurate values of the diabetes based on the individual can be predicted accurately. In this activity we will use the Learning Machine Planning and compile data to predict diabetes. Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Neighboring K-Nearest (KNN), Gradient Boosting (GB) and Random Forest (RF). Accuracy is different for all models compared to other models. Project Work gives a more exact or precise model appearance that the model can precisely foresee diabetes. Our outcome shows that Random Forest has accomplished higher exactness contrasted with other AI systems.


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 Keywords

Machine learning; vector support machine; predicting diabetes.

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