IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
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(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: A COMPREHENSIVE REVIEW ON COLON TARGETED DRUG DELIVERY SYSTEM
Author Name(s): Rutuja P. Bugad, Dr. Sachinkumar V. Patil
Published Paper ID: - IJCRT2107361
Register Paper ID - 210060
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107361 and DOI :
Author Country : Indian Author, India, 416115 , Kolhapur, 416115 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107361 Published Paper PDF: download.php?file=IJCRT2107361 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107361.pdf
Title: A COMPREHENSIVE REVIEW ON COLON TARGETED DRUG DELIVERY SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d225-d237
Year: July 2021
Downloads: 1267
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Paper Title: IOT BASED PREPAID ENERGY METER
Author Name(s): Dr.V.Ranganayaki, Nithish Kumar S, Subash M, Mahaprabhu M
Published Paper ID: - IJCRT2107360
Register Paper ID - 210081
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107360 and DOI :
Author Country : Indian Author, India, 641048 , Coimbatore, 641048 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107360 Published Paper PDF: download.php?file=IJCRT2107360 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107360.pdf
Title: IOT BASED PREPAID ENERGY METER
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d219-d224
Year: July 2021
Downloads: 1337
E-ISSN Number: 2320-2882
Power utilities in various countries, especially in developed countries, have little control over energy usage. This proposal suggests a prepaid energy metering system that allows users to monitor how much energy they have used. In this process, each consumer device has a smart energy meter installed, and the service provider maintains a server. The IOT module is installed on both the meter and the server, allowing bidirectional communication between the two ends through the IOT interface. By using their user ID, consumers can conveniently recharge their energy meter in the database. The service provider will have complete leverage over the customer side thanks to bidirectional IOT connectivity. Electricity theft can be significantly minimised by combining the new steps with the prepaid metering system.
Licence: creative commons attribution 4.0
Prepaid energy meter, Internet of things, Analog to digital converter.
Paper Title: COMPREHENSIVE REVIEW ON MUCOADHESIVE POLYMER USED IN NASAL DRUG DELIVERY SYSTEM
Author Name(s): Miss Shubhangi Balu Chougule, Dr sachinkumar.v. patil
Published Paper ID: - IJCRT2107359
Register Paper ID - 210086
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107359 and DOI :
Author Country : Indian Author, India, 416115 , Ichalkaranji, 416115 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107359 Published Paper PDF: download.php?file=IJCRT2107359 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107359.pdf
Title: COMPREHENSIVE REVIEW ON MUCOADHESIVE POLYMER USED IN NASAL DRUG DELIVERY SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d204-d218
Year: July 2021
Downloads: 1299
E-ISSN Number: 2320-2882
This review is on mucoadhesive polymers used in nasal dosage forms. Drug actions can be improved by developing new drug delivery systems; one such formulation being a mucoadhesive system. Last few decades, the application of mucoadhesive polymers in nasal drug delivery systems has gained interest among pharmaceutical scientists as a means of promoting dosage form residence time in the nasal cavity as well as for improving intimacy of contact with absorptive membranes of the biological system. The nasal mucosa provides a potentially good route for systemic drug delivery. One of the most important features of the nasal route is that it avoids first-pass hepatic metabolism thereby reducing metabolism. The application of mucoadhesive polymers in nasal drug delivery systems has gained to promote dosage form residence time in the nasal cavity as well as improving intimacy of contact with absorptive membranes of the biological system. The various new technology uses in development of nasal drug delivery dosage forms are discussed. The various dosage forms are vesicular carriers (liposome, noisome), nanostructured particles, prodrugs, in situ gelling system with special attention to in vivo studies.
Licence: creative commons attribution 4.0
In vivo, mucoadhesive polymers, nasal drug delivery system.
Paper Title: MENTAL HEALTH OF VISUALLY IMPAIRED AND NORMAL STUDENTS: A COMPARATIVE STUDY
Author Name(s): Sangeeta Suman
Published Paper ID: - IJCRT2107358
Register Paper ID - 210042
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107358 and DOI : http://doi.one/10.1729/Journal.27709
Author Country : Indian Author, India, 226025 , lucknow, 226025 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107358 Published Paper PDF: download.php?file=IJCRT2107358 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107358.pdf
Title: MENTAL HEALTH OF VISUALLY IMPAIRED AND NORMAL STUDENTS: A COMPARATIVE STUDY
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.27709
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d199-d203
Year: July 2021
Downloads: 1274
E-ISSN Number: 2320-2882
The purpose of the study is to investigate the Mental Health comparison between visually impaired and normal students of age 14 to 19 years old. Descriptive survey method is found suitable for the study. The sampling technique is purposive sampling technique and sample size of the study is 160 students of different special and normal schools of Lucknow. The finding of the study indicates the mental health of both Visually Impaired and Normal students showing no difference. The good mental health is necessary for social development.
Licence: creative commons attribution 4.0
Visually Impaired, Mental Health, Humanistic approach.
Paper Title: REAL TIME TWITTER SENTIMENT ANALYSIS
Author Name(s): Samarth Shete, Lahasya Gowda, Mubashshirin Pinitod, Akshada Lathimadi, Kartik Nikam
Published Paper ID: - IJCRT2107357
Register Paper ID - 210080
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107357 and DOI :
Author Country : Indian Author, India, 416416 , Sangli, 416416 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107357 Published Paper PDF: download.php?file=IJCRT2107357 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107357.pdf
Title: REAL TIME TWITTER SENTIMENT ANALYSIS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d195-d198
Year: July 2021
Downloads: 1248
E-ISSN Number: 2320-2882
Sentiment analysis of social media data includes attitudes, evaluations, and emotions, which can be thought of as a way of thinking. It is extremely tough to comprehend and classify the enormous collection of papers into good and bad elements. Twitter, Facebook, and Instagram, for example, give a forum for gathering information on people's feelings and opinions. Social media platforms are increasingly being used by businesses to provide various services and communicate with customers. Attitude Analysis (SA) divides the polarity of a set of tweets into positive and negative categories in order to better understand public sentiment. The goal of this work is to do sentiment analysis on real-time 2019 election twitter data using the feature selection model word2vec and the sentiment classification technique random forest. When compared to traditional methods like BOW and TF-IDF, Word2vec plus Random Forest enhances sentiment analysis accuracy dramatically.
Licence: creative commons attribution 4.0
Sentiment Analysis; Word2Vec; Random Forest; Twitter data analysis; TF-IDF; BOW;
Paper Title: MAGNITUDE OF EMPLOYEE STRESS VERSUS EMPLOYEE PERFORMANCE
Author Name(s): Deepthi M P, Dr.Manoj Kumara N V
Published Paper ID: - IJCRT2107356
Register Paper ID - 210066
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107356 and DOI :
Author Country : Indian Author, India, 571477 , Mandya, 571477 , | Research Area: Management All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107356 Published Paper PDF: download.php?file=IJCRT2107356 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107356.pdf
Title: MAGNITUDE OF EMPLOYEE STRESS VERSUS EMPLOYEE PERFORMANCE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d187-d194
Year: July 2021
Downloads: 1249
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Stress Management, Problems,Coping strategies, Percentage and Correlation, Performance and Development.
Paper Title: STUDY OF UNSUPERVISED LEARNING TECHNIQUES : K-MEANS AND HIERARCHICAL CLUSTERING ALGORITHM
Author Name(s): Pratiksha Usatkar
Published Paper ID: - IJCRT2107355
Register Paper ID - 210054
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107355 and DOI :
Author Country : Indian Author, India, 410206 , panvel, 410206 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107355 Published Paper PDF: download.php?file=IJCRT2107355 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107355.pdf
Title: STUDY OF UNSUPERVISED LEARNING TECHNIQUES : K-MEANS AND HIERARCHICAL CLUSTERING ALGORITHM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d180-d186
Year: July 2021
Downloads: 1342
E-ISSN Number: 2320-2882
Cluster analysis separates information into important, useful groups (cluster). Clustering algorithms measure similarity or dissimilarity between data objects. Clustering is used to find meaningful information/patterns from a data set. Cluster analysis is an unsupervised learning algorithm. Unsupervised learning models the structure or dispersion within the information to memorize more almost the information. There are different types of clustering viz. Hierarchical, Partition, Exclusive, Overlapping, Fuzzy, Complete, Partial, Well-separated, Prototype-based, Graph-based, Contiguity-based, and Density-based Clustering. This paper compares with k-Means Clustering and Hierarchical Clustering Techniques. Clustering method and their technique and process.
Licence: creative commons attribution 4.0
Keywords: k-means, Hierarchical, unsupervised learning, Clustering algorithm
Paper Title: VOICELESS TO VOICE CONVERSION USING MACHINE LEARNING
Author Name(s): Sunny Bhoir, Sreenath Pradeep, Deepesh Dhumale, Edison Sundaraj, Kintu Patel
Published Paper ID: - IJCRT2107354
Register Paper ID - 210140
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107354 and DOI :
Author Country : Indian Author, India, 400707 , NaviMumbai, 400707 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107354 Published Paper PDF: download.php?file=IJCRT2107354 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107354.pdf
Title: VOICELESS TO VOICE CONVERSION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d175-d179
Year: July 2021
Downloads: 1270
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Smart glove, sign language, machine learning
Paper Title: TRANSDERMAL DRUG DELIVERY PATCHES: AN OVERVIEW
Author Name(s): Tushar C.Anare, Prof. Hemlata Nimje, Sauarbh N. Pawale
Published Paper ID: - IJCRT2107353
Register Paper ID - 210121
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107353 and DOI :
Author Country : Indian Author, India, 412207 , Pune, 412207 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107353 Published Paper PDF: download.php?file=IJCRT2107353 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107353.pdf
Title: TRANSDERMAL DRUG DELIVERY PATCHES: AN OVERVIEW
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d166-d174
Year: July 2021
Downloads: 1278
E-ISSN Number: 2320-2882
Transdermal drug delivery (TDD) could be a non-invasive route of drug administration, however its application is restricted by the low porosity of the skin. It's a gorgeous different technique to the traditional techniques for the administration of general approaches. The major site of application is skin for each native and general effects. The main barrier is that the stratum corneum to penetrate the drug through the skin membrane. As a result, fully different approaches to penetration improvement are wont to avoid stratum corneum and to expand the flow through the skin membrane. the new active rates of controlled transdermic drug delivery system (TDDS) technology are known, developed, and marketed for the TDD. This review presents, the structure of the skin, the pathways of penetration through the skin, fully different approaches to boost penetration, transdermic patches to optimize the transdermic delivery system into a decent drug delivery system.
Licence: creative commons attribution 4.0
Transdermal patches, Penetration enhancers, Transdermal Drug Delivery System (TDDS).
Paper Title: A SYSTEMATIC MACHINE LEARNING APPROACH FOR DETECTION OF HEMOGLOBIN LEVELS
Author Name(s): Anup B. Chaudhary, Dr. A. P. Thakare
Published Paper ID: - IJCRT2107352
Register Paper ID - 210079
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107352 and DOI :
Author Country : Indian Author, India, 444601 , Amravati, 444601 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107352 Published Paper PDF: download.php?file=IJCRT2107352 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107352.pdf
Title: A SYSTEMATIC MACHINE LEARNING APPROACH FOR DETECTION OF HEMOGLOBIN LEVELS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: d160-d165
Year: July 2021
Downloads: 1239
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Diabetes, Machine Learning, systematic approach, Image processing

