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: PHYTOCHEMICAL SCREENING, ANTI-OXIDANT, AND ANTIMICROBIAL PROFILE OF LEAVES OF BARLERIA STOCKSII T. ANDERSON (ACANTHACEAE): AN ENDEMIC SPECIES FROM THE DECCAN PENINSULA.
Author Name(s): Nagaraju Vallepu, Keerthana Muktinutalapati, Penchala Pratap Goli, Dr. G. Sudarsanam
Published Paper ID: - IJCRT2104576
Register Paper ID - 206316
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104576 and DOI : http://doi.one/10.1729/Journal.26672
Author Country : Indian Author, India, 517502 , Tirupati, 517502 , | Research Area: Life Sciences All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104576 Published Paper PDF: download.php?file=IJCRT2104576 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104576.pdf
Title: PHYTOCHEMICAL SCREENING, ANTI-OXIDANT, AND ANTIMICROBIAL PROFILE OF LEAVES OF BARLERIA STOCKSII T. ANDERSON (ACANTHACEAE): AN ENDEMIC SPECIES FROM THE DECCAN PENINSULA.
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.26672
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Life Sciences All
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4800-4814
Year: April 2021
Downloads: 1326
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Barleria stocksii, Endemic plant, Antioxidant, Phytochemical analysis & Antibacterial activity.
Paper Title: MORPHOLOGICAL AND PHYSIOLOGICAL CHANGES IN CERTAIN MULBERRY CULTIVARS INDUCED WATER STRESS.
Author Name(s): N. Obulapathi, T. Jhansi Rani, N . Anandarajulu, S. Thimma Naik*
Published Paper ID: - IJCRT2104575
Register Paper ID - 206313
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104575 and DOI :
Author Country : Indian Author, India, 515003 , Anantapuramu, 515003 , | Research Area: Biological Science Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104575 Published Paper PDF: download.php?file=IJCRT2104575 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104575.pdf
Title: MORPHOLOGICAL AND PHYSIOLOGICAL CHANGES IN CERTAIN MULBERRY CULTIVARS INDUCED WATER STRESS.
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Biological Science
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4789-4799
Year: April 2021
Downloads: 1240
E-ISSN Number: 2320-2882
Photosynthesis is important in metabolic pathways and is influenced by environmental stress. Drought stress is one of the environmental factors that alter several regulatory mechanisms, resulting in yield loss in crop plants. Using the foregoing background information, four Mulberry (Morus alba L.) genotypes were chosen, namely MY-01, BP-01, PP-01, and G4 and experiments were carried out in potted plants under natural photoperiod conditions under normal and water stress conditions. Morphological and Physiological parameters such as plant height, no of leaves, no of branches, leaf area, leaf yield and photosynthetic rate, stomatal conductance, transpiration rates, relative water content, and plant growth and yield parameters were measured in control and drought-induced plants during the experiment. Water stress conditions significantly influenced the altering of all photosynthetic, plant growth, and yield parameters in water-stressed conditions compared to watered conditions, according to the results, all of the varieties in the order had significantly lower photosynthetic rates. The most important crop in the sericulture industry is mulberry (Morus alba L.). In this study, we show that water scarcity characteristics can be finely controlled by leaf gas exchange characteristics in 1-year-old field-grown mulberry genotypes (Selection-MY-01, BP-01, PP-01, and G4) subjected to water stress by withholding water for 10 days. Significant differences in net photosynthetic rates (Pn), stomatal conductance and transpiration rate, and intercellular CO2 have been observed among four mulberry genotypes. Among the four genotypes, G4 significantly higher rates in Morphological-physiological characters of both water treatments (control and during drought stress (DS).
Licence: creative commons attribution 4.0
well water, drought stress, Mulberry, photosynthesis.
Paper Title: A STUDY TO ASSESS THE KNOWLEDGE ON BREAST FEEDING TECHNIQUE AMONG POSTNATAL MOTHERS AT SELECTED HOSPITALS OF GHAZIABAD (UP)
Author Name(s): Ms. Manju Rajput, Ms. G. Manjulavathi2, Ms. Shivani Sharma3, Ms. Vartika Vishnoi4
Published Paper ID: - IJCRT2104574
Register Paper ID - 206311
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104574 and DOI : http://doi.one/10.1729/Journal.26714
Author Country : Indian Author, India, 110032 , DELHI, 110032 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104574 Published Paper PDF: download.php?file=IJCRT2104574 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104574.pdf
Title: A STUDY TO ASSESS THE KNOWLEDGE ON BREAST FEEDING TECHNIQUE AMONG POSTNATAL MOTHERS AT SELECTED HOSPITALS OF GHAZIABAD (UP)
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.26714
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4781-4788
Year: April 2021
Downloads: 1343
E-ISSN Number: 2320-2882
Abstract Statement: A descriptive study to assess the knowledge on breast feeding technique among postnatal mothers at Santosh hospital Ghaziabad (UP) Objectives: To assess the post-test knowledge on breast feeding techniques among postnatal mothers. To determine the level of awareness among postnatal mothers regarding breast feeding techniques. To find out the association between breast feeding techniques knowledge score with their selected demographic variables. Methodology: Research approach adopted was experimental research, a post-test only design. Population was 30 postnatal mothers at Santosh hospital Ghaziabad (UP). Purposive sampling technique was used for data collection. Result: In the present study 53.3% postnatal mothers were having very good knowledge, 26.7% had good knowledge, 10% of mother were having average level of knowledge and again 10% mothers had inadequate knowledge of breast-feeding technique. Keywords: Postnatal mothers, breast- feeding technique, knowledge,
Licence: creative commons attribution 4.0
Keywords: Postnatal mothers, breast- feeding technique, knowledge,
Paper Title: A STUDY ON CUSTOMER SATISFACTION TOWARDS HIMALAYAN PRODUCTS WITH SPECIAL REFERNCE TO COIMBATORE CITY
Author Name(s): Dharsan S, Dr. M. P. Kumaran
Published Paper ID: - IJCRT2104573
Register Paper ID - 206310
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104573 and DOI :
Author Country : Indian Author, India, 641006 , Coimbatore, 641006 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104573 Published Paper PDF: download.php?file=IJCRT2104573 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104573.pdf
Title: A STUDY ON CUSTOMER SATISFACTION TOWARDS HIMALAYAN PRODUCTS WITH SPECIAL REFERNCE TO COIMBATORE CITY
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4769-4780
Year: April 2021
Downloads: 9189
E-ISSN Number: 2320-2882
Himalayan is a worldwide pioneer in the field of scientifi-cally validated herbal healthcare. Its reputation is for clini-cally studied, pure, and safe herbal healthcare products that are based on extensive scientific validation and strin-gent quality controls. we believe that there nur-turing work environment brings out the best in their team and allows Himalaya to develop the best products.
Licence: creative commons attribution 4.0
customer satisfaction, herbal, Ayurvedic products
Paper Title: A STUDY ON BRANDING STRATEGIES OF VODAFONE IDEA (VI)
Author Name(s): Gokul A, P. Vimal kumar
Published Paper ID: - IJCRT2104572
Register Paper ID - 206307
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104572 and DOI :
Author Country : Indian Author, India, 641103 , Coimbatore, 641103 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104572 Published Paper PDF: download.php?file=IJCRT2104572 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104572.pdf
Title: A STUDY ON BRANDING STRATEGIES OF VODAFONE IDEA (VI)
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4759-4768
Year: April 2021
Downloads: 1261
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Telecom, Branding, Customer preference
Paper Title: IMAGE ENHANCEMENT TECHNOLOGY
Author Name(s): Shubham Kambire, Kanchan Doke, Ayush Shetty, Pranil Sarang
Published Paper ID: - IJCRT2104571
Register Paper ID - 206306
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104571 and DOI :
Author Country : Indian Author, India, 410210 , Raigarh(MH), 410210 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104571 Published Paper PDF: download.php?file=IJCRT2104571 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104571.pdf
Title: IMAGE ENHANCEMENT TECHNOLOGY
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4754-4758
Year: April 2021
Downloads: 1263
E-ISSN Number: 2320-2882
Datasets are crucial to encourage the improvement of a few computational fields, giving extension, vigor, and certainty to results. Datasets are an assortment of examples that all offer a typical property. AI information investigation utilizes calculations to ceaselessly develop itself after some time, however quality information is vital for these models to work proficiently. In deep learning, to train a particular model we need lots of any kind of specific data. If data is not proper the accuracy drops of the model. In case of images if we get dataset of improper images, and if we use these for training it will affect the accuracy. Image Enhancement Technology is an initiative to convert images with poor quality, noise, which hinders the accuracy in images which have enough information which can be for future purposes
Licence: creative commons attribution 4.0
Artificial Intelligence, Dataset
Paper Title: CYBERTHREATS IN THE COVID-19 PANDEMIC AND POSSIBLE SOLUTIONS DOMAINS
Author Name(s): Amit Mahajan, Priyanka Gupta
Published Paper ID: - IJCRT2104570
Register Paper ID - 206304
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104570 and DOI :
Author Country : Indian Author, India, 284001 , Jhansi, 284001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104570 Published Paper PDF: download.php?file=IJCRT2104570 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104570.pdf
Title: CYBERTHREATS IN THE COVID-19 PANDEMIC AND POSSIBLE SOLUTIONS DOMAINS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4746-4753
Year: April 2021
Downloads: 1256
E-ISSN Number: 2320-2882
The usage and reliance on the Internet have increased exponentially since the COVID-19 pandemic. The number of people participating in online activities such as e-learning, remote working, and online shopping has risen. As a result, cybercriminals have become more vulnerable. Cybersecurity breaches have become a major issue. Phishing, malware, ransomware, social engineering, identity theft, and denial-of-service attacks are all common forms of cybersecurity attacks. Victims are targeted by attackers to obtain their credentials or financial benefits. People who engage in online activities are at risk of cyber-attacks. This is because the network is not safe. The attackers can code in a way that exploits the Internet's flaws. When attackers gain root access to a computer, they have complete control over it and can do whatever they want with it. The definition of a cybersecurity attack is explored in this research paper, as well as extensive research on actual attacks. Following that, a comprehensive overview of recent cybersecurity attacks is presented, along with a critical analysis. Furthermore, the paper will propose the most recent cybersecurity research contribution at COVID-19, as well as a practical overview with examples of how businesses protect privacy as well as limitations. The paper would then go over the reasons why people are vulnerable to cybersecurity and the one-of-a-kind approach to the issues posed. Finally, this paper will end with an in-depth examination of cybersecurity research's future directions.
Licence: creative commons attribution 4.0
COVID-19 pandemic, cybercriminals, Phishing, cybersecurity, Zoom Bombing
Paper Title: A WELL INFORMED EXPOSURE WITH ONE CLASS SUPPORT TUCKER MACHINE AND GENETIC ALGORITHM TOWARDS BIG SENSOR DATA IN IOT
Author Name(s): P.PRIYADHARSHINI, ULAGALAKSHMI K, VIGNESHWARI R
Published Paper ID: - IJCRT2104569
Register Paper ID - 206300
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104569 and DOI :
Author Country : Indian Author, India, 637503 , namakkal, 637503 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104569 Published Paper PDF: download.php?file=IJCRT2104569 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104569.pdf
Title: A WELL INFORMED EXPOSURE WITH ONE CLASS SUPPORT TUCKER MACHINE AND GENETIC ALGORITHM TOWARDS BIG SENSOR DATA IN IOT
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4730-4745
Year: April 2021
Downloads: 1242
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Tucker machine, sensor data & IOT sensor
Paper Title: OPTIMIZATION IN EDGE COMPUTING FOR CENTRALIZED DATA CENTER USING BIG DATA TECHNIQUE
Author Name(s): Dr.K.Venkatasalam, K.Mohanapriya, P.Mathumitha, S.Lavanyasri
Published Paper ID: - IJCRT2104568
Register Paper ID - 206298
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104568 and DOI :
Author Country : Indian Author, India, 637503 , namakkal, 637503 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104568 Published Paper PDF: download.php?file=IJCRT2104568 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104568.pdf
Title: OPTIMIZATION IN EDGE COMPUTING FOR CENTRALIZED DATA CENTER USING BIG DATA TECHNIQUE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4720-4729
Year: April 2021
Downloads: 1258
E-ISSN Number: 2320-2882
Advances made in the wearable and biosensor has attracted the applicability and usability of the healthcare applications. The biosensors collect the human physiological data from a remote area using wireless communication medium. Different form of security implications have to be exhibited in Edge Computing Networks. This paper researches on enhancing the network layer and application layer of the Edge Computing Networks in healthcare environment. The objective of the each phase is to enhance the data accuracy of the collected data with minimized delay. In the first phase, we have constructed attack model for Sybil, Sinkhole and Wormhole attacks and detected those attacks under different constraints. Secondly, an efficient packet transmission model which helps to transmit the sensed data based on their emergency using Weighted Product Model (WPM). After devising network layer, a lightweight security scheme, an improved Elliptic Curve Cryptography (ECC) that permits the data access for the authorized users. Experimental analysis is carried out for each phase under pre-defined simulation parameters which explores better results. The framed attack model detects the three eminent attacks in terms of False Positive Rate (FPR) and False Negative Rate (FNR) which helps the Data Controller for message transmission process. Likewise, we have also achieved 97% Packet Delivery Ratio with 0.8ms Packet Dropping Ratio for better packet transmission model than the existing TOPSIS model.
Licence: creative commons attribution 4.0
Biosensor, Remote system & Network
Paper Title: SARCASM ANALYSIS USING MACHINE LEARNING
Author Name(s): Sparsh Arora, Shrey Mathur, Siddhant Bagat, Shruti Agrawal
Published Paper ID: - IJCRT2104567
Register Paper ID - 206294
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104567 and DOI :
Author Country : Indian Author, India, 400037 , Mumbai, 400037 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104567 Published Paper PDF: download.php?file=IJCRT2104567 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104567.pdf
Title: SARCASM ANALYSIS USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 4715-4719
Year: April 2021
Downloads: 1263
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Sarcastic comments, Classification Algorithms, Detect Sarcasm, Using Emojis, Linear SVC