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: A REVIEW ON INNOVATIVE PACKAGING OF MEDICINE
Author Name(s): HRISHIKESH S.JADHAV, ROHAN B. KALE, AKSHAY H. AHER, AMOL P. THAKRE
Published Paper ID: - IJCRT2212403
Register Paper ID - 229039
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212403 and DOI :
Author Country : Indian Author, India, 423108 , Malegaon, 423108 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212403 Published Paper PDF: download.php?file=IJCRT2212403 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212403.pdf
Title: A REVIEW ON INNOVATIVE PACKAGING OF MEDICINE
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: d675-d683
Year: December 2022
Downloads: 185
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
KEYWORDS: Packaging, convenience, tampering, counterfeiting, drug regimens, etc.
Paper Title: ELLORA KI PRATIMAON ME BAHUPARIVARTANSHIL DRISHTIKON
Author Name(s): Neha yadav
Published Paper ID: - IJCRT2212402
Register Paper ID - 229110
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212402 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212402 Published Paper PDF: download.php?file=IJCRT2212402 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212402.pdf
Title: ELLORA KI PRATIMAON ME BAHUPARIVARTANSHIL DRISHTIKON
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: d666-d674
Year: December 2022
Downloads: 152
E-ISSN Number: 2320-2882
Elora ki pratimao me bahuparivartinshil drushtikon
Licence: creative commons attribution 4.0
Elora ki pratimao me bahuparivartinshil drushtikon
Paper Title: VARTMAN KRISHI ME EKIKRUT KRISHI PRANALI: AAVSHAYKATA EV MAHATAV
Author Name(s): Naresh kumar
Published Paper ID: - IJCRT2212401
Register Paper ID - 229109
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212401 and DOI : http://doi.one/10.1729/Journal.32460
Author Country : Indian Author, India, 333042 , Dis-Jhunjhunu, 333042 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212401 Published Paper PDF: download.php?file=IJCRT2212401 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212401.pdf
Title: VARTMAN KRISHI ME EKIKRUT KRISHI PRANALI: AAVSHAYKATA EV MAHATAV
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.32460
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: d660-d665
Year: December 2022
Downloads: 140
E-ISSN Number: 2320-2882
Vartman krishi me ekikrut krishi pranali: aavshaykata ev mahatav
Licence: creative commons attribution 4.0
Vartman krishi me ekikrut krishi pranali: aavshaykata ev mahatav
Paper Title: COMPARATIVE ANALYSIS OF BREAST CANCER PREDICTION BY USING MACHINE LEARNING ALGORITHMS
Author Name(s): Uma Sneka, Nancy Jasmine Goldena
Published Paper ID: - IJCRT2212400
Register Paper ID - 228968
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212400 and DOI :
Author Country : Indian Author, India, 627007 , Tirunelveli, Tamil Nadu, India, 627007 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212400 Published Paper PDF: download.php?file=IJCRT2212400 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212400.pdf
Title: COMPARATIVE ANALYSIS OF BREAST CANCER PREDICTION BY USING MACHINE LEARNING ALGORITHMS
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: d655-d659
Year: December 2022
Downloads: 139
E-ISSN Number: 2320-2882
Breast cancer is a type of tumour that occurs in the tissues of the breast. It is most common type of cancer found in women around the world and it is among the leading causes of deaths in women. This work presents the comparative analysis of machine learning, deep learning and data mining techniques being used for the prediction of breast cancer. Two algorithm KMEANS, PCA (Principal Component Analysis) which predict the breast cancer outcome have been compared in the paper using Kaggle machine learning repository dataset. The datasets consist 598 rows and 30 columns. All experiments are executed within a simulation environment and conducted in R studio platform. Many researchers have put their efforts on breast cancer diagnoses and prognoses, every technique has different accuracy rate and it varies for different situations, tools and datasets being used. Our main focus is to comparatively analyse different existing Machine Learning (ML) and Data Mining (DM) techniques in order to find out the most appropriate method that will support the large dataset with good accuracy of prediction. The main purpose of this research is to highlight all the previous studies of machine learning algorithms that are being used for breast cancer prediction and this project provides the all-necessary information to the beginners who want to analyse the machine learning.
Licence: creative commons attribution 4.0
Breast Cancer, Machine Learning, Classification, Prediction, Comparative, Performance Evaluation.
Paper Title: A COMPARISON OF DIABETIC PREDICTION USING ML APPROACHES
Author Name(s): Shanthi, Nancy Jasmine Goldena
Published Paper ID: - IJCRT2212399
Register Paper ID - 228971
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212399 and DOI :
Author Country : Indian Author, India, 627007 , Tirunelveli, 627007 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212399 Published Paper PDF: download.php?file=IJCRT2212399 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212399.pdf
Title: A COMPARISON OF DIABETIC PREDICTION USING ML APPROACHES
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: d650-d654
Year: December 2022
Downloads: 136
E-ISSN Number: 2320-2882
In India, diabetes affects approximately 30 million people around the world, and many more are at risk. In order to prevent diabetes and the health issues it is associated with, timely diagnosis and treatment is essential. This study tries to evaluate a person's risk of developing diabetes depends on their lifestyles and family history. In 2021, there are 7 million people died, according to the International Diabetes Federation (IDF). Through a change in lifestyle, nutrition, or medicine, early identification of patients with a high chance of developing T2D can lower the incidence of the illness. The diabetes dataset from the UCI machine learning repository is used in this analysis. C50 and GLM algorithms are used to do binary classification, and performance measures are used to assess the efficiency.
Licence: creative commons attribution 4.0
Binary Classification, Comparison, Diabetes, Machine Learning, Supervised Learning
Paper Title: “MONKEYPOX VIRUS INFECTION IN HUMANS”
Author Name(s): Ms.Pooja Devi
Published Paper ID: - IJCRT2212398
Register Paper ID - 229004
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212398 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Commerce and Management, MBA All Branch Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212398 Published Paper PDF: download.php?file=IJCRT2212398 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212398.pdf
Title: “MONKEYPOX VIRUS INFECTION IN HUMANS”
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce and Management, MBA All Branch
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: d645-d649
Year: December 2022
Downloads: 144
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Paper Title: கே.பாலசந்தர்திரரப்படங்ேளில் பபண் ணிய ப ாழிநரட
Author Name(s): K.SUTHAKARI
Published Paper ID: - IJCRT2212397
Register Paper ID - 229107
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212397 and DOI :
Author Country : Indian Author, India, 625021 , Madurai, 625021 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212397 Published Paper PDF: download.php?file=IJCRT2212397 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212397.pdf
Title: கே.பாலசந்தர்திரரப்படங்ேளில் பபண் ணிய ப ாழிநரட
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: d640-d644
Year: December 2022
Downloads: 142
E-ISSN Number: 2320-2882
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Licence: creative commons attribution 4.0
Paper Title: ARIYAKKUDI RAMANUJA IYENGAR
Author Name(s): Dr.DHANALEKSHMI C
Published Paper ID: - IJCRT2212396
Register Paper ID - 229094
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212396 and DOI :
Author Country : Indian Author, India, 695019 , Thiruvananthapuram , 695019 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212396 Published Paper PDF: download.php?file=IJCRT2212396 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212396.pdf
Title: ARIYAKKUDI RAMANUJA IYENGAR
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: d637-d639
Year: December 2022
Downloads: 157
E-ISSN Number: 2320-2882
A study of the life and contributions of great masters of Carnatic music is very informative. The following article discusses brief biography of Ariyakkudi Ramanuja Iyengar and unique features Ariyakkudi bani. Ariyakudi is a great maestro noted for his distinct way of singing. His alapanas were short and crisp, and they revealed the essence of raga bhava. Modernizing the concert format may be considered as the greatest contribution of AriyakkudiRamanuja Iyengar
Licence: creative commons attribution 4.0
Ariyakkudi, Ariyakkudi Ramanuja Iyengar, Ariyakkudi bani, Concert format
Paper Title: DESIGN OF SAFETY HEAD GEAR USING ELECTRICAL SENSORS
Author Name(s): Reshma Sulthana S S, Bhagyalakshmi, Smitha V Sajjan
Published Paper ID: - IJCRT2212395
Register Paper ID - 229105
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212395 and DOI :
Author Country : Indian Author, India, 583102 , Bellary, 583102 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212395 Published Paper PDF: download.php?file=IJCRT2212395 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212395.pdf
Title: DESIGN OF SAFETY HEAD GEAR USING ELECTRICAL SENSORS
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: d625-d636
Year: December 2022
Downloads: 147
E-ISSN Number: 2320-2882
This paper presents a prototype of digital safety helmet equipped with environmental sensors and voltage sensor that helps to measure environmental conditions and display it real time on the display attached within the helmet. This gives workers real time information about the any environmental situation they are in. This will not only improve the safety of the workers but also helps to improve work ethics thereby improving overall productivity.
Licence: creative commons attribution 4.0
Paper Title: MANN-WHITNEY’S MINIMAL SPANNING TREE ALGORITHM OF CRITICAL PATH NETWORK ANALYSIS USING FERMATEAN PENTAGONAL FUZZY NUMBERS
Author Name(s): C.Dilly Rani, R.Nagarajan
Published Paper ID: - IJCRT2212394
Register Paper ID - 228917
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212394 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212394 Published Paper PDF: download.php?file=IJCRT2212394 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212394.pdf
Title: MANN-WHITNEY’S MINIMAL SPANNING TREE ALGORITHM OF CRITICAL PATH NETWORK ANALYSIS USING FERMATEAN PENTAGONAL FUZZY NUMBERS
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: d614-d624
Year: December 2022
Downloads: 136
E-ISSN Number: 2320-2882
In this article, a new algorithm for searching Mann-Whitney minimum spanning tree in a critical path network having fermeatean pentagonal fuzzy soft edge length is presented. The proposed algorithm is based on matrix approach to design un-directed fermeatean fuzzy weighted connected graph. Also, we provide numerical example to check the validity of the proposed algorithm using score function and accuracy function.
Licence: creative commons attribution 4.0
fuzzy set,fuzzy number, validity, defuzzification, fermeatean fuzzy soft set, minimal spanning tree, pentagonal matrix, connected graph, algorithm, score function, accuracy function.