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

Volume 10 | Issue 6 |

Volume 10 | Issue 6 | Month  
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  Paper Title: OCCLUSAL INDICATORS � A REVIEW OF QUALITATIVE AND QUANTITATIVE METHODS

  Author Name(s): Dr. Rani Trimukhe, Dr. Prasad Adhapure, Dr. Babita Yeshwante, Dr. Rasika Gaikwad, Dr. Akash Todsam

  Published Paper ID: - IJCRT22A6542

  Register Paper ID - 222124

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6542 and DOI :

  Author Country : Indian Author, India, 431005 , Aurangabad, 431005 , | Research Area: Health Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6542
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  Your Paper Publication Details:

  Title: OCCLUSAL INDICATORS � A REVIEW OF QUALITATIVE AND QUANTITATIVE METHODS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Health Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e465-e470

 Year: June 2022

 Downloads: 563

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

occlusal contact, occlusal interference, occlusal equilibrium, T Scan

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  Paper Title: RENAL HEALTH CARE � THE MOST IGNORED UNTIL IT REMINDS US; CAUSES, CONSEQUENCES AND RESULTS

  Author Name(s): Pradeep B S

  Published Paper ID: - IJCRT22A6541

  Register Paper ID - 222054

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6541 and DOI :

  Author Country : Indian Author, India, 577007 , Davangere, 577007 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6541
Published Paper PDF: download.php?file=IJCRT22A6541
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  Your Paper Publication Details:

  Title: RENAL HEALTH CARE � THE MOST IGNORED UNTIL IT REMINDS US; CAUSES, CONSEQUENCES AND RESULTS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e460-e464

 Year: June 2022

 Downloads: 363

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Renal Health, Chronic dieses, Health care, precautionary measures.

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  Paper Title: IOT BASED MODERN AGRICULTURE SOIL NUTRIENT MONITORING

  Author Name(s): Gophane Pruthiviraj M, Dhygude Nitin B, Gophane Tejasvini P

  Published Paper ID: - IJCRT22A6540

  Register Paper ID - 222048

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6540 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6540
Published Paper PDF: download.php?file=IJCRT22A6540
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  Your Paper Publication Details:

  Title: IOT BASED MODERN AGRICULTURE SOIL NUTRIENT MONITORING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e456-e459

 Year: June 2022

 Downloads: 451

  E-ISSN Number: 2320-2882

 Abstract

The agricultural yield primarily depends on soil fertility, the moisture level of soil and use of appropriate fertilizers. In the current scenario, the manual method of measuring the soil nutrients is less accurate because of the time difference of soil sample collected at the field and when it is measured in a laboratory. It becomes necessary to create a smarter agriculture practice through Internet of Things(IoT) to address this challenge. Soil nutrient analysis using wireless sensor networks (WSN) enables various application like remote monitoring of soil fertility, analysis, provide a selection of crop and build irrigation decision support systems. In the proposed system, the wireless sensors measure the macro nutrient of soil and transmit the data to the cloud. The user can view the soil fertility at the convenience on their mobile application. It is possible that the farmer may wish to grow a specific crop based on the economic interest. The software system has the intelligence to recommend the fertilizer that is required to be used to suit the needs of the desired crop, thus improving the quality of the soil and in turn, increase the yield. Overall, the proposed system helps farmers to gather real-time information about various soils, their fertility level, suggest crops and fertilizers at the convenience of the mobile app. Finally, this project effort will help farmers to make the right decision, gain better yield and economic advantage.


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 Keywords

Nitrogen; Phosphorus; Potassium (NPK) sensor; Cloud; Mobile Application

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  Paper Title: ENGINE RECOGNIZABLE PROOF AND COUNTING STRATEGY BASED ON COMPUTERIZED PICTURE HANDLING IN PYTHON

  Author Name(s): Rani Ingle, Neeraj Sahu

  Published Paper ID: - IJCRT22A6539

  Register Paper ID - 222072

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6539 and DOI :

  Author Country : Indian Author, India, 444604 , Amravati, 444604 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6539
Published Paper PDF: download.php?file=IJCRT22A6539
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  Your Paper Publication Details:

  Title: ENGINE RECOGNIZABLE PROOF AND COUNTING STRATEGY BASED ON COMPUTERIZED PICTURE HANDLING IN PYTHON

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e451-e455

 Year: June 2022

 Downloads: 339

  E-ISSN Number: 2320-2882

 Abstract

:The vehicle counting process provides good information about traffic flow, vehicle accident occurrences, and peak traffic times on the road. An acceptable technique for achieving these goals is the use of digital image processing techniques in the video output of roadside cameras.


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 Keywords

object detection, edge detection, frame difference, and Kalman filter.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: CONSTITUTIONAL SAFEGUARDS FOR THE PROTECTION OF SCHEDULE CASTE AND SCHEDULE TRIBE � A CRITICAL ANALYSIS

  Author Name(s): Prem Babu Karlapudi

  Published Paper ID: - IJCRT22A6538

  Register Paper ID - 222015

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6538 and DOI :

  Author Country : Indian Author, India, 522410 , Guntur, 522410 , | Research Area: Arts All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6538
Published Paper PDF: download.php?file=IJCRT22A6538
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  Your Paper Publication Details:

  Title: CONSTITUTIONAL SAFEGUARDS FOR THE PROTECTION OF SCHEDULE CASTE AND SCHEDULE TRIBE � A CRITICAL ANALYSIS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Arts All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e445-e450

 Year: June 2022

 Downloads: 408

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Constitution, Safeguards, Scheduled Castes, Tribes, Caste System, Reservations, India

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: JOURNEY OF PERSONS WITH DISABILITY FROM BEING VIEWED AS �OBJECTS OF RIGHTS� TO �AGENTS OF RIGHTS�

  Author Name(s): Isha Khurana

  Published Paper ID: - IJCRT22A6537

  Register Paper ID - 222084

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6537 and DOI :

  Author Country : Indian Author, India, 122001 , Gurgaon, 122001 , | Research Area: Others area

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6537
Published Paper PDF: download.php?file=IJCRT22A6537
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  Your Paper Publication Details:

  Title: JOURNEY OF PERSONS WITH DISABILITY FROM BEING VIEWED AS �OBJECTS OF RIGHTS� TO �AGENTS OF RIGHTS�

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Others area

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e437-e444

 Year: June 2022

 Downloads: 377

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Persons with Disability, Object of Rights, Agents of Rights, CRPD

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: MEDICAL ASSISTANCE SYSTEM FOR CRITICAL COVID PATIENTS BASED ON HEALTH PARAMETERS PRIORTIZATION

  Author Name(s): Bosetti Badrinath, Pedda Mekala Harini, Jampana Devisree

  Published Paper ID: - IJCRT22A6536

  Register Paper ID - 219736

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6536 and DOI :

  Author Country : Indian Author, India, 515591 , Kadiri, 515591 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6536
Published Paper PDF: download.php?file=IJCRT22A6536
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6536.pdf

  Your Paper Publication Details:

  Title: MEDICAL ASSISTANCE SYSTEM FOR CRITICAL COVID PATIENTS BASED ON HEALTH PARAMETERS PRIORTIZATION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e432-e436

 Year: June 2022

 Downloads: 435

  E-ISSN Number: 2320-2882

 Abstract

Global Pandemic emerged on December, 2019 that has impacted several countries, effecting more than 10lakh patients and making it a global public threat. The roots of transmission are direct contact, droplets and possibly aerosol transmissions. It has high spread rate in a short time and prevention of transmission has become a global priority. Since the start of the pandemic, affordable and sustainable access to oxygen has been a growing challenge in low- and middle-income countries. COVID-19 has put huge pressure on health systems, with hospitals in many hospitals running out of oxygen cylinders, availability of beds and other resources, resulting in preventable deaths. Due to the COVID-19 public health emergency, there may be an increased demand for hospital beds, stretchers, and mattresses to expand health care capacity in local hospitals, and health care systems through temporary expansion sites. To meet this need, manufacturers from a variety of industry sectors not traditionally associated with medical device manufacturing are looking for resources to manufacture and market these devices to the healthcare community. Oxygen is an essential medicine, and despite being vital for the effective treatment of hospitalised COVID-19 patients, access in hospitals is limited due to cost, infrastructure and logistical barriers. Health facilities often cannot access the oxygen they require, resulting in the unnecessary loss of lives.


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 Keywords

machine Learning, Python, Pandas, Matplotlib, sklearn, Seaborn, Decision tree, Support vector Machine, 1D CNN, Dataset, Mailing system.

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  Paper Title: A DEEP LEARNING APPROACH USING CONVOLUTION NEURAL NETWORK TO CLASSIFY PARKISON�S DISEASE

  Author Name(s): Mohd Naseem Ahmed, Battu Archana, Manga Vikas Goud, Mrs. Nazia Tabassum

  Published Paper ID: - IJCRT22A6535

  Register Paper ID - 221656

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6535 and DOI :

  Author Country : Indian Author, India, 500028 , hyderabad, 500028 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6535
Published Paper PDF: download.php?file=IJCRT22A6535
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6535.pdf

  Your Paper Publication Details:

  Title: A DEEP LEARNING APPROACH USING CONVOLUTION NEURAL NETWORK TO CLASSIFY PARKISON�S DISEASE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e426-e431

 Year: June 2022

 Downloads: 373

  E-ISSN Number: 2320-2882

 Abstract

A major role has always been played by Machine Learning Techniques and algorithms in the field of biomedical sciences when it comes to the topic of pattern recognition. Aid is provided by these techniques to researchers for the purpose of classifying medical imagery and for the purpose of predicting models for the possession of a greater and better understanding related to medical problems and their complexities. The subfield that relates to the machine learning techniques that come in contact with the functioning of the brain along with its structure is Deep Learning, also known as ANN or Artificial Neural Network. Convolution Neural Network or CNN has been used in this paper so as to classify images of the neural brain for the identification or differentiation of the brains of people affected with Parkinson's Disease (PD) and those that are not. Classification of complex clinical data for the detection of Parkinson's Disease or the estimation of the stage of the disease at any moment is a challenging and difficult feat to accomplish. CNN is a Machine Learning Technique that uses MRIS, MRIs, and other such rich data resources to learn from and for the developing of classification with accurate imagery. The classification of MRI data of Parkinson's Disease patients with those who were healthy was done with an accuracy of 97.63% without normalization and with an accuracy of 97.91% in the batch with normalization by using Convolution Neural Network. This successful event goes to show that CNN is good at the extraction of the foremost discriminative characteristics of the complex clinical data and thus the constant design is capacitated with the ability to effectively be used in this analysis for performing a variety of medical imaging classifications and more.


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 Keywords

Parkinson Diseases, Machine Learning, Artificial neural network, Convolution neural network

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  Paper Title: PERFORMING DAUGHTER, UN/SUPPORTING FATHERS IN SELECTED NARRATIVES

  Author Name(s): PRADEEP KUMAR

  Published Paper ID: - IJCRT22A6534

  Register Paper ID - 221889

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6534 and DOI :

  Author Country : Indian Author, India, 126112 , SAFIDON, 126112 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6534
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  Your Paper Publication Details:

  Title: PERFORMING DAUGHTER, UN/SUPPORTING FATHERS IN SELECTED NARRATIVES

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e420-e425

 Year: June 2022

 Downloads: 326

  E-ISSN Number: 2320-2882

 Abstract

It is fairly evident that an individual's excellence in performance is directly related to one's intellectual calibre, emotional well-being and physical strength. The psychological process in which a daughter values herself to gather a sense of self-worth, evaluates herself to gain self-esteem, and analyzes herself to internalize a self-image, constructs her self-identity which affects her performativity. Behavioural psychological researchers conclude that the qualitative father-daughter relationships help her in constructing a stable identity, whereas the avoidant and authoritarian fathering makes her unstable identity. But for father's support, it is likely that a daughter may not register her powerful presence in patriarchal setup. Hence, it is a prerequisite that fathers transform their role behaviour for empowering daughters to enter the masculine fields that already poses challenges. The present paper focuses on the role of father in daughter's preforming a social role identity, through different perspectives of history, patriarchy, gender, psychology and culture, and also aims to explore three narratives of different genres in comprehensive support of arguments and conclusions.


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Key Words: Patriarchy, Gender, Performance, Psychology, Self-worth, Self-esteem, Self-image, Identity, Social Roles. Parenting.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: STUDY OF PEDESTRIAN DETECTION IN SELF DRIVING CARS

  Author Name(s): ATHIRA C.S, GEETHU WILSON

  Published Paper ID: - IJCRT22A6533

  Register Paper ID - 221862

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6533 and DOI :

  Author Country : Indian Author, India, 680123 , THRISSUR, 680123 , | Research Area: Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6533
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  Your Paper Publication Details:

  Title: STUDY OF PEDESTRIAN DETECTION IN SELF DRIVING CARS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 6  | Year: June 2022

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

 Subject Area: Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 6

 Pages: e409-e419

 Year: June 2022

 Downloads: 412

  E-ISSN Number: 2320-2882

 Abstract

Computer vision is the science and technology of visual acuity. It deals with the theory, design and implementation of algorithms that can automatically process visual data to identify objects, track and restore their structure and shapes. With growing interest in Computer vision use scenarios such as self-driving cars, face recognition, intelligent transport systems and more to detect and classify objects. Self-driving is currently one of the most exciting areas in which modern computer-aided technology operates. In this paper, a discussion of the current state of Computer vision on self-driving cars is discussed. The key points discussed here are self-driving car units, self-driving car parts and more focused on pedestrian identification. This paper provides a lesson for others known methods for pedestrian detection as well Tracking in photos. Some benchmark data sets are being discussed, Performance analysis metrics are also displayed.


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 Keywords

Computer vision, Self Driving Cars, Computer Aided Technology, Pedestrian Identification.

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