ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: KNOWLEDGE AND AWARENESS ABOUT SYSTEMIC CONDITIONS AND ITS ORAL MANIFESTATIONS FOR PATIENTS UNDERGOING DENTAL EXTRACTION AMONG DENTAL STUDENTS
Author Name(s): Dr. Vandana Shenoy, Anusre A, Apparna I, Gayathri K, Dr. Mohamed Afradh
Published Paper ID: - IJCRT2212240
Register Paper ID - 228644
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212240 and DOI :
Author Country : Indian Author, India, 6000107 , chennai, 6000107 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212240 Published Paper PDF: download.php?file=IJCRT2212240 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212240.pdf
Title: KNOWLEDGE AND AWARENESS ABOUT SYSTEMIC CONDITIONS AND ITS ORAL MANIFESTATIONS FOR PATIENTS UNDERGOING DENTAL EXTRACTION AMONG DENTAL STUDENTS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c272-c281
Year: December 2022
Downloads: 141
E-ISSN Number: 2320-2882
Exodontia or extraction of the tooth is defined as the painless removal of the entire tooth or the root with minimum trauma to the investing tissues, so that the wound heals normally and no postoperative prosthesis problems arise. A proper History of the patient is necessary before extraction for evaluating the patient. Many systemic diseases have direct or indirect relation with Exodontia. So, it is necessary for the practitioner to understand the indications, contraindications and management of the patient in case of emergency of these patients during extraction. The survey is conducted among the undergraduate students.
Licence: creative commons attribution 4.0
Anticoagulant therapy, complications, Extraction, oral manifestations, oral-systemic connection.
Paper Title: CREDIT CARD APPLICANT WORTHINESS PREDICTION USING MACHINE LEARNING
Author Name(s): B.Dhanalakshmi, Dr.K.Merriliance MSc,MPhil,PhD
Published Paper ID: - IJCRT2212239
Register Paper ID - 227630
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212239 and DOI :
Author Country : Indian Author, India, india , tirunelveli, india , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212239 Published Paper PDF: download.php?file=IJCRT2212239 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212239.pdf
Title: CREDIT CARD APPLICANT WORTHINESS PREDICTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c266-c271
Year: December 2022
Downloads: 137
E-ISSN Number: 2320-2882
Machine learning is an emerging technique for building analytic models for machines to "learn" from data and be able to do predictive analysis. The ability of machines to "learn" and do predictive analysis is very important in this era of big data and it has a wide range of application areas. For instance, banks and financial institutions are sometimes faced with the challenge of what risk factors to consider when advancing credit/loans to customers. For several features/attributes of the customers are normally taken into consideration, but most of these features have little predictive effect on the credit worthiness or otherwise of the customer. Furthermore, a robust and effective automated bank credit risk score that can aid in the prediction of customer credit worthiness very accurately is still a major challenge facing many banks. In this paper, we examine a real bank credit data and conduct several machine learning algorithms on the data for comparative analysis and to choose which algorithms are the best fit for learning bank credit data. The algorithms gave over 80% accuracy in prediction. Furthermore, the most important features that determine whether a customer will default or otherwise in paying his/her credit the next month are extracted from a total of 23 features. We then applied these most important features on some selected machine learning algorithms and compare their predictive accuracy with the other algorithms that used all the 23 features. The results show no significant difference, signifying that these features can accurately determine the credit worthiness of the customers. Finally, we formulate a predictive model using the most important features to predict the credit worthiness of a given customer.
Licence: creative commons attribution 4.0
Machine Learning algorithms
Paper Title: SKIN MELANOMA DETECTION USING NEURAL NETWORK
Author Name(s): V.Rajalakshmi, Mrs.P.Jasmine Lois Ebenazer
Published Paper ID: - IJCRT2212238
Register Paper ID - 227970
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212238 and DOI :
Author Country : Indian Author, India, india , tirunelveli, india , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212238 Published Paper PDF: download.php?file=IJCRT2212238 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212238.pdf
Title: SKIN MELANOMA DETECTION USING NEURAL NETWORK
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c261-c265
Year: December 2022
Downloads: 127
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Neural Networks, Skin Melanoma Detection
Paper Title: NUMBER PLATE RECOGNITION USING OPENCV
Author Name(s): S.Swetha, Dr K Merriliance M.Sc M.Phil PhD
Published Paper ID: - IJCRT2212237
Register Paper ID - 227973
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212237 and DOI :
Author Country : Indian Author, India, india , tirunelveli, india , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212237 Published Paper PDF: download.php?file=IJCRT2212237 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212237.pdf
Title: NUMBER PLATE RECOGNITION USING OPENCV
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c257-c260
Year: December 2022
Downloads: 155
E-ISSN Number: 2320-2882
With the popularization of automobile and the progress of computer vision detection technology, intelligent license plate detection technology has gradually become an important part of intelligent traffic management. License plate detection is used to segment vehicle image and obtain license plate area for follow-up recognition system to screen. It is widely used in intelligent traffic management, vehicle video monitoring and other fields. In this paper, two license plate detection methods are studied, one is based on Sobel edge detection and the other is based on morphological gradient detection. Basing on OpenCV and PYTHON under Windows system, two methods of license plate detection are implemented, and the two algorithms are compared in detail from the aspects of license plate detection accuracy. These methods have high efficiency and good interactivity, which provide a reference for later license plate recognition.
Licence: creative commons attribution 4.0
Image Processing, OPENCV, Number Plate Detection
Paper Title: INVESTIGATION OF PRE-ANALYTICAL ERRORS DURING COVID-19 PANDEMIC PHASE IN A TERTIARY CARE HOSPITAL -A RETROSPECTIVE STUDY
Author Name(s): Sangare Gunasekaran, Dr.Jayanthi Rajendran, Sathiya Ramasamy
Published Paper ID: - IJCRT2212236
Register Paper ID - 228771
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212236 and DOI :
Author Country : Indian Author, India, 607402 , Puducherry, 607402 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212236 Published Paper PDF: download.php?file=IJCRT2212236 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212236.pdf
Title: INVESTIGATION OF PRE-ANALYTICAL ERRORS DURING COVID-19 PANDEMIC PHASE IN A TERTIARY CARE HOSPITAL -A RETROSPECTIVE STUDY
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c250-c256
Year: December 2022
Downloads: 126
E-ISSN Number: 2320-2882
Aim and objectives: - To investigate the sample rejection rate of pre analytical errors in a clinical laboratory tertiary care centre. To identify the types, frequency of pre analytical error and to detect the percentage of pre analytical errors. Materials and methods: - This was the retrospective analytical study by collecting the data over the period from November 2020 to February 2022 at clinical biochemistry laboratory at Mahatma Gandhi Medical College and Research Institute. Data analysis was done on samples were received and tested which includes sample like blood, urine and other fluids. Types of errors were as follows: - inappropriate labelled samples, improper collection tubes, clotted sample, hemolysis, insufficient volumes, lipemic samples. Results: - Out of 2,39,327 total samples received from both OPD and IPD, 891 samples were found to be unsuitable for further processing. The majority of the sample rejected due to hemolysis (43%), the second most frequent pre analytical error encountered in insufficient volume (21%), clotted sample (16.2%), mislabelling of samples by the laboratory personnel was seen as caused of rejection is 9.9%, lipemic samples were also rejected is 5.3%, inappropriate container accounted for faulty results in 3.3% of samples. Conclusion: - The concept of TQM encompasses all the steps involved in sample processing, beginning from test ordering to the final interpretation of results by clinicians to reduce or eliminate the errors that may rise during various steps. The dependence on accurate lab results for diagnosis makes it mandatory for labs to ensure accountability and accuracy of results for diagnosis as a consequence of faulty reporting.
Licence: creative commons attribution 4.0
Key words: Preanalytical errors, Covid-19, Total Quality Management, Total testing Process, Turnaround Time.
Paper Title: OPTIMIZED CONTROLLER FOR CHARGING OF EV BATTERIES IN RENEWABLE ENERGIES
Author Name(s): MILAN CHOUBEY, Dr. MOHAN SEN, Dr. SEEMA SAXENA
Published Paper ID: - IJCRT2212235
Register Paper ID - 228818
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212235 and DOI :
Author Country : Indian Author, India, 462001 , BHOPAL (M.P.), 462001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212235 Published Paper PDF: download.php?file=IJCRT2212235 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212235.pdf
Title: OPTIMIZED CONTROLLER FOR CHARGING OF EV BATTERIES IN RENEWABLE ENERGIES
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c240-c249
Year: December 2022
Downloads: 145
E-ISSN Number: 2320-2882
Using renewable types of energy and Electric Cars (EVs) can reduce energy prices and minimize radiation to a substantial extent. The intermittent nature of renewable energy sources and their sporadic use, integrating renewable energy sources into the electric grid is a challenging process. If the supply of renewable energy is not adequate to fulfill the requirement, it is expensive to pull more energy from the power grid. This may also reduce the energy efficiency of the charging process. The focus of this study is to present methods for optimizing a controller for the charging of electric vehicle batteries using renewable energy sources for energy management. The output of the Dynamic Programming optimization and a variety of other approaches used in energy optimizing software are compared to determine which one would accurately minimize the cost of energy required for charging and yet fulfill the aggregate battery charge maintaining criteria. Based on this study it is evident that the Dynamic Programming based optimization strategy provides the highest level of accuracy while maintaining a consistently high level of fuel savings in EVs.
Licence: creative commons attribution 4.0
Electric Cars, Battery, Electric Vehicles, Dynamic Programming, Renewable Energy Sources
Paper Title: PCOS : AN OVERVIEW OF LIFESTYLE DISORDER FOUND OF IN 90% FEMALES IN WORLDWIDE.
Author Name(s): Aarti sawant, Naziya Sayyad, Snehal ugale, Dr.Mahendra Gaikwad, Tejaswini raju kande
Published Paper ID: - IJCRT2212234
Register Paper ID - 228750
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212234 and DOI :
Author Country : Indian Author, India, 411014 , Pune, 411014 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212234 Published Paper PDF: download.php?file=IJCRT2212234 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212234.pdf
Title: PCOS : AN OVERVIEW OF LIFESTYLE DISORDER FOUND OF IN 90% FEMALES IN WORLDWIDE.
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c233-c239
Year: December 2022
Downloads: 163
E-ISSN Number: 2320-2882
Polycystic ovary syndrome is a heterogeneous disorder. It is caused due to chronic anovulation. The symptoms of this PCOS disease occurs during the puberty years. Both normal female pubertal development and pcos are characterized by irregular menstrual cycle, anavulation and acne. Olegomenorrhea (less than 9 period for year) and Amenorrhea (no menustrual period for at least six months) are features of PCOS and can be regarded as' 'as risk for PCOS'.so there are some medication for management of PCOS disease such as progestin therapy, spironalactone, clomiphene, letrozole , Gonadotropins,Eflornithin.
Licence: creative commons attribution 4.0
Menstrual Cycle, Anovulation, Olegomenorrhea, Amenorrhea, Hyperandrogonism.
Paper Title: A REVIEW ON THE BENEFIT OF ORODISPERSIBLE TABLET
Author Name(s): Piyush jain, Gita Sahu, Neha Mandle, Surekha Beghel
Published Paper ID: - IJCRT2212233
Register Paper ID - 228778
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212233 and DOI :
Author Country : Indian Author, India, 493661 , Raipur, 493661 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212233 Published Paper PDF: download.php?file=IJCRT2212233 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212233.pdf
Title: A REVIEW ON THE BENEFIT OF ORODISPERSIBLE TABLET
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c228-c232
Year: December 2022
Downloads: 141
E-ISSN Number: 2320-2882
The concept of fast dissolving drug delivery system emerged from the desire to provide patient with more conventional means of taking their medication. It is difficult for many patients to swallow tablets and hard gelatine capsules. Hence, they do not comply with prescription, which results in high incidence of non-compliance and ineffective therapy. In some cases such as motion sickness, sudden allergic attacks or coughing, swallowing conventional tablets may be difficult. Such problems can be resolved by means of orodispersible tablets. These tablets disintegrate and dissolve rapidly in mouth. Hence no need to swallow the dosage form, which is highly convenient feature for patients. Hence preparing orodispersible tablet would provide a rapid action during these physiological conditions which may occur any time and a quick therapy being required for them.
Licence: creative commons attribution 4.0
Conventional, orodispersible, tablet, disintegrate, dissolve rapidly
Paper Title: FOREIGN LABOR : DRIVING AND OBSTRUCTIVE FACTORS FOR INDIAN LABOR TO MALAYSIA
Author Name(s): Prakash
Published Paper ID: - IJCRT2212232
Register Paper ID - 228801
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212232 and DOI :
Author Country : Foreign Author, Malaysia, 31550 , Pusing, 31550 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212232 Published Paper PDF: download.php?file=IJCRT2212232 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212232.pdf
Title: FOREIGN LABOR : DRIVING AND OBSTRUCTIVE FACTORS FOR INDIAN LABOR TO MALAYSIA
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Foreign Author
Pubished in Volume: 10
Issue: 12
Pages: c213-c227
Year: December 2022
Downloads: 129
E-ISSN Number: 2320-2882
This article examines the factors driving and hindering Indian foreign labor to Malaysia, especially in Subang, Selangor. The arrival of foreign workers to this country from the British era until now has never stopped. The influx of foreigners into this country is evident in economic sectors such as the agricultural sector in the colonial era and now for all sectors. Without foreigners, Malaysia's economy cannot be driven at the present time, especially in some sectors such as the plantation, construction, and fishing sectors. The need for foreign labor in this country's economic sector is very important.
Licence: creative commons attribution 4.0
Foreign labor, Indian labor, Economic sector, Obstructive factors, Driving factors
Paper Title: METHOD DEVELOPMENT AND VALIDATION FOR THE ESTIMATION OF AZILSARTAN MEDOXOMIL AND CILNIDIPINE IN MARKETED FORMULATION USING HPLC
Author Name(s): Kajal Dwivedi, Mr. Ankit Diwan, Dr. Kuldeep Ganju
Published Paper ID: - IJCRT2212231
Register Paper ID - 228828
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212231 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212231 Published Paper PDF: download.php?file=IJCRT2212231 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212231.pdf
Title: METHOD DEVELOPMENT AND VALIDATION FOR THE ESTIMATION OF AZILSARTAN MEDOXOMIL AND CILNIDIPINE IN MARKETED FORMULATION USING HPLC
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c205-c212
Year: December 2022
Downloads: 143
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
HPLC, Azilsartan Medoxomil and Cilnidipine