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: PX – POWER SET OF EVEN AND ODD NUMBERS OF A NUMBER ‘ X ’
Author Name(s): Dr. A. Sudhakaraiah, A.Madhan kumar, V.Gopi
Published Paper ID: - IJCRT2205619
Register Paper ID - 220354
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205619 and DOI :
Author Country : Indian Author, India, 517502 , Tirupati, 517502 , | Research Area: Mathematics All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205619 Published Paper PDF: download.php?file=IJCRT2205619 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205619.pdf
Title: PX – POWER SET OF EVEN AND ODD NUMBERS OF A NUMBER ‘ X ’
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Mathematics All
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f345-f350
Year: May 2022
Downloads: 330
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Numbers , sets , power set , power set of number X ,X-power set , algorithm.
Paper Title: COMPARATIVE STUDIES ON GROWTH AND YIELD PERFORMANCE OF PADDY STRAW MUSHROOM (VOLVARIELLA SPP ) ON AGRO-WASTE
Author Name(s): Anita Tripathy
Published Paper ID: - IJCRT2205618
Register Paper ID - 220348
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205618 and DOI :
Author Country : Indian Author, India, 765001 , RAYAGADA, 765001 , | Research Area: Life Sciences All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205618 Published Paper PDF: download.php?file=IJCRT2205618 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205618.pdf
Title: COMPARATIVE STUDIES ON GROWTH AND YIELD PERFORMANCE OF PADDY STRAW MUSHROOM (VOLVARIELLA SPP ) ON AGRO-WASTE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Life Sciences All
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f338-f344
Year: May 2022
Downloads: 297
E-ISSN Number: 2320-2882
The research experiment was carried out to investigate the cultivation of paddy straw mushroom on agro-wastes singly and in various combinations to find out the better substrate for mushroom cultivation . Results regarding the time required for completion of spawn running, formation of pin-heads and maturation of fruiting bodies on different substrates showed that in all the five cases, they appeared earlier on wheat(control) in both the species. Highest mycelia growth rate was found in wheat & rice bran (50:50) in Volvariella volvaceae and (75:25) in Volvariella diplasia. The time of fruiting for both species was shorter on wheat(control). Highest biological yield , Volvariella volvaceae(1380g),Volvariella diplasia (1263g) was obtained from (50:50) in Volvariella volvaceae and(75:25) in Volvariella diplasia. The lowest biological yield were found where the culture was on rice bran alone. The use of rice bran in mushroom cultivation enhances the biological recycling of nutrients.
Licence: creative commons attribution 4.0
Volvariella spp., Substrate combination, Rice straw, Growth , Yield.
Paper Title: RE-RANKING OF GOOGLE RESULTS BASED ON INFORMATION MINING TECHNIQUES
Author Name(s): Gayatri Vilas Bagade, Dr.Rais Abdul Hamid Khan
Published Paper ID: - IJCRT2205617
Register Paper ID - 220340
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205617 and DOI :
Author Country : Indian Author, India, 444108 , TELHARA, 444108 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205617 Published Paper PDF: download.php?file=IJCRT2205617 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205617.pdf
Title: RE-RANKING OF GOOGLE RESULTS BASED ON INFORMATION MINING TECHNIQUES
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f336-f337
Year: May 2022
Downloads: 267
E-ISSN Number: 2320-2882
In Re-ranking of Google result will provide you the enhance way for searching the information on any web site by using content mining techniques. The World Wide Web is a system of interlinked hypertext documents that are accessed via the internet. It plays a leading role for retrieving user requested information from the web resources. In order to retrieve user requested information, search engine plays a major role for crawling web content on different node and organizing them into result pages so that user can easily select the required information by navigating through the result pages link. This strategy worked well in earlier because, number of resources available for user request is limited. It is feasible to identify the relevant information directly by the user from the search engine results. As the Internet era increases, sharing of resource also increases and this leads to develop an automated technique to rank each web content resource. Different search engine uses different techniques to rank search results for the user query. This leads to business motivation of bringing up their web resource into top ranking position. As the competition and web resource increases, the ranking of web content becomes tedious and dynamic with respect to the user query.
Licence: creative commons attribution 4.0
Paper Title: CROP RECOMMENDATION SYSTEM USING MACHINE LEARNING ALGORITHM
Author Name(s): Mr. Omkar Kulkarni, Mr. Sushil Buragute, Mr. Ashwin Khode, Mr. Melvin Fernando, Prof. Nilesh Korade
Published Paper ID: - IJCRT2205616
Register Paper ID - 220330
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205616 and DOI :
Author Country : Indian Author, India, 411019 , Pune, 411019 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205616 Published Paper PDF: download.php?file=IJCRT2205616 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205616.pdf
Title: CROP RECOMMENDATION SYSTEM USING MACHINE LEARNING ALGORITHM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f332-f335
Year: May 2022
Downloads: 420
E-ISSN Number: 2320-2882
India is land of farmers. A major role in India's economy is played by farming. As much as 60% of the land is used for farming in India. This feeds a total of 1.2 billion in population. In general, agriculture is the backbone of India and conjointly plays a crucial role in the Indian economy by providing a definite share of domestic products to ensure food security. However, nowadays, food production and prediction are depleted because of unnatural climatic changes, which is able to adversely affect the economy of farmers by obtaining a poor yield and conjointly facilitate the farmers to stay less acquainted in prognostication in the long run. Using appropriate parameters like rain patterns, temperature patterns, soil structures, and other factors such as crop diseases makes it possible to yield accurate crop prediction results. We make use of Random Forest and other machine learning/artificial intelligence algorithms to generate an accurate model. With the help of our system, we will be able to recommend the best possible crop for the given conditions. This system would also help reduce the financial loss incurred by farmers caused by planting the incorrect crop.
Licence: creative commons attribution 4.0
Crop recommendation system, machine learning, crop prediction
Paper Title: OPEN EDUCATIONAL RESOURCES : A FACILITATOR OF OPEN EDUCATION
Author Name(s): Dr. Ranjan Samanta, Totan Maity, Dr. Biswajit Das
Published Paper ID: - IJCRT2205615
Register Paper ID - 220311
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205615 and DOI :
Author Country : Indian Author, India, 700075 , Kolkata, 700075 , | Research Area: Arts1 All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205615 Published Paper PDF: download.php?file=IJCRT2205615 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205615.pdf
Title: OPEN EDUCATIONAL RESOURCES : A FACILITATOR OF OPEN EDUCATION
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts1 All
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f321-f331
Year: May 2022
Downloads: 282
E-ISSN Number: 2320-2882
Abstract: Open Education Resources (OER) are teaching, learning materials in any medium that reside in the public domain under an open license. The main purpose of this present study is to reveal the concept of OER and how various OERs facilitate open education. In this study, we analyze various OERs initiatives that promote open education. This paper focuses on significant development in the area of open education, the role of OER as a promoter of open education. The OER has empowered students, teachers, researchers to become more innovative in their teaching-learning through openness and flexibility. Various OER initiatives are greatly supported to open education and these are accessed remotely by the learners. This paper gives a detailed account of various OER initiatives which will be helpful to learners at different levels to acquit their diversified needs of information.
Licence: creative commons attribution 4.0
Keywords: Open Educational Resources, Open Education, Openness, E-learning, Teaching-Learning.
Paper Title: FACE RECOGNITION AND ATTENDANCE SYSTEM
Author Name(s): Shivam gupta, Barun majumdar
Published Paper ID: - IJCRT2205614
Register Paper ID - 220220
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205614 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205614 Published Paper PDF: download.php?file=IJCRT2205614 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205614.pdf
Title: FACE RECOGNITION AND ATTENDANCE SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f313-f320
Year: May 2022
Downloads: 307
E-ISSN Number: 2320-2882
At the start and ending of the category , usually teacher check the attendance , but the manual attendance system may results in appear that an educator may miss someone or some students may answer multiple times. Now a days, Machine we use algorithms, to supply the pc systems the power of finding and recognizing human faces fast and precisely in images or videos in order that the systems can utilized in giving attendance. A great burden on the teachers if it's done by hand. By utilizing this framework, the matter of proxies and students being marked present albeit they're not physically present can easily be solved. This system marks the attendance using live video stream. The main implementation steps utilized in this sort of system are for which dlib is used. After these, the connection of recognized faces need to be conceivable by comparing with the database containing student's faces. This model are going to be a successful technique to manage the attendance of students.
Licence: creative commons attribution 4.0
Machine learning, Face recognition, Assessment, Face detection algorithm, LBPH, HAAR
Paper Title: NEURAL STYLE TRANSFER USING DEEP LEARNING WITH CNN AND STREAMLIT
Author Name(s): Zubair Iqbal, Satyam Rastogi, Anshdeep Tyagi, Anubhav Shukla, Anil Kumar
Published Paper ID: - IJCRT2205613
Register Paper ID - 220280
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205613 and DOI :
Author Country : Indian Author, India, 244001 , Moradabad, 244001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205613 Published Paper PDF: download.php?file=IJCRT2205613 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205613.pdf
Title: NEURAL STYLE TRANSFER USING DEEP LEARNING WITH CNN AND STREAMLIT
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f309-f312
Year: May 2022
Downloads: 278
E-ISSN Number: 2320-2882
In the field of two-dimensional image and video processing, convolution neural networks have been successfully applied to generate novel images by composing content and style of two different sources, a process called artistic or neural style transfer. However, a usage of these methods for three-dimensional objects is not straightforward due to the unstructured mesh representations of typical shape data. Hence efficient geometry representations are required to use neural network-based style transfer concepts for three-dimensional shapes and to enable the fast creation of style options for instance in a product ideation process. In this paper an overview of current state-of-the-art shape representations is presented with respect to their applicability of neural style transfer on three-dimensional shape data. Combinations of three-dimensional geometric representations with deep neural network architectures are evaluated towards their capability to store and reproduce content and style information based on previously proposed reconstruction tests.
Licence: creative commons attribution 4.0
Neural Style, Deep Learning, CNN, Streamlit.
Paper Title: MODELING ONLINE SOCIAL NETWORKS FOR THE DEFENCE AGAINST FAKE NEWS
Author Name(s): V.KRISHNA REDDY, R.HRUDAYA, G.SUDHEER KUMAR, B.PAVAN
Published Paper ID: - IJCRT2205612
Register Paper ID - 219804
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205612 and DOI :
Author Country : Indian Author, India, 500050 , Chanda Nagar,Hyder, 500050 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205612 Published Paper PDF: download.php?file=IJCRT2205612 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205612.pdf
Title: MODELING ONLINE SOCIAL NETWORKS FOR THE DEFENCE AGAINST FAKE NEWS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f302-f308
Year: May 2022
Downloads: 289
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Paper Title: ROAD ACCIDENT ANALYSIS : A CASE STUDY RAJKOT CITY
Author Name(s): CHAUHAN TUSHAR LAXMANBHAI, MAYURSINH JADEJA, ASHRAF MATHAKIYA
Published Paper ID: - IJCRT2205611
Register Paper ID - 220361
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205611 and DOI :
Author Country : Indian Author, India, 360005 , RAJKOT , 360005 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205611 Published Paper PDF: download.php?file=IJCRT2205611 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205611.pdf
Title: ROAD ACCIDENT ANALYSIS : A CASE STUDY RAJKOT CITY
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f290-f301
Year: May 2022
Downloads: 351
E-ISSN Number: 2320-2882
The main aim of this paper is analyze and study of road traffic accident data. In this paper traffic volume survey and spot speed survey are carried out. The road traffic accident analyzed according to types of injuries, drivers age group , gender wise distribution, months , day and night time, location wise and types of vehicles.The road accident data analysed in varies types of injuries like fatal , minore , not injured and serious. In fatal accident 2 wheelers are more involved than others.Accident data analyzed as per month, the most of accidents have been occurred in the month of January and June.Minimum or zero number of accident observed in the monsoon month in may and august.Also, accident data analyzed according time in this paper the maximum accident occurred in day time and less and minimum accident are reported in night time. Further, accident data analyzed according to location wise the number of more accidents have been happened at kankot patiyu and kataria chokdi so observed it as black spot location. As per analyzed the accident data the age group 18 to 30 are more involved than others age group and gender wise distribution the males faces are more involved than female faces.
Licence: creative commons attribution 4.0
Road traffic accident , analysis , traffic volume study , spot speed study .
Paper Title: A STUDY TO ASSESS THE KNOWLEDGE AND ATTITUDE REGARDING ANTENATAL DIET AMONG ANTENATAL WOMEN VISITING CHC CHARNARTHAL KALAN, FATEHGARH SAHIB
Author Name(s): Anu malik, Jasvir kaur, Navneet kaur
Published Paper ID: - IJCRT2205609
Register Paper ID - 216764
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205609 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205609 Published Paper PDF: download.php?file=IJCRT2205609 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205609.pdf
Title: A STUDY TO ASSESS THE KNOWLEDGE AND ATTITUDE REGARDING ANTENATAL DIET AMONG ANTENATAL WOMEN VISITING CHC CHARNARTHAL KALAN, FATEHGARH SAHIB
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: f268-f275
Year: May 2022
Downloads: 330
E-ISSN Number: 2320-2882
The knowledge of pregnant women regarding antenatal care and their compliance to itis of paramount importance in preventing maternal and infant mortality rate and morbidity. The main objective of the present study was to assess the knowledge and attitude of antenatal women regarding antenatal diet Methods :Quantitative research approach was used in this study and descriptive research design was employed for assessing the knowledge and attitude. Data collection: Samples were selected by using convenient sampling technique and sample size for the current study was 100 antenatal women. Data was collected with the help of structured knowledge questionnaire and rating scales. Collected data was analyzed by means of descriptive and inferential statistics. Result: The study results revealed that 30 paticipants had adequate knowledge related to antenatal care whereas 20 participants had moderate knowledge and 50 samples had inadequate knowledge related to antenatal care. Chi- square test results revealed that there was no significant association between knowledge and selected demographic variables of antenatal mothers. Interpretation and Conclusion: The study findings revealed that pregnant women had inadequate knowledge regarding antenatal care.
Licence: creative commons attribution 4.0
Assess Knowledge, Attitude, Antenatal Diet and Antenatal Women.