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: SECURE WEB SERVER FOR ONLINE BANKING SYSTEM
Author Name(s): Swapnil Pote, Aniket Wani, Vishal Nijwante
Published Paper ID: - IJCRT2207290
Register Paper ID - 220648
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207290 and DOI :
Author Country : Indian Author, India, 412105 , Pune, 412105 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207290 Published Paper PDF: download.php?file=IJCRT2207290 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207290.pdf
Title: SECURE WEB SERVER FOR ONLINE BANKING SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c191-c195
Year: July 2022
Downloads: 300
E-ISSN Number: 2320-2882
The main problem in any online banking system is to secure information stored on the web server while simultaneously giving each bank client an added level of privacy during each transaction. Traditional systems, unfortunately, do not allow for the server to hide an individual client's transaction details . As a result, there is a chance of being cheated by any bank employee or the authority who are responsible behind running the system. So we propose a method to design a secure web server for online banking system. In this system, we have introduced a secure money transaction process by introducing a smart key during each transaction made by the client or user. Only the valid client or authorized user can able to access his information. To do so, he must first register with the system by entering some basic personal information. However, it's critical to remember the encryption key, which is used for both encryption and decryption. If a user forgets his or her key, he or she will be unable to complete any transactions.
Licence: creative commons attribution 4.0
online banking, web server, smart key, encryption, decryption.
Paper Title: CREATIVE MANAGEMENT AND MUSEUM MARKETING STRATEGIES
Author Name(s): Dr. Anand Burdhan, Assistant Professor , SHRM, New Delhi
Published Paper ID: - IJCRT2207289
Register Paper ID - 223212
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207289 and DOI :
Author Country : Indian Author, India, 110067 , New Delhi, 110067 , | Research Area: Arts1 All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207289 Published Paper PDF: download.php?file=IJCRT2207289 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207289.pdf
Title: CREATIVE MANAGEMENT AND MUSEUM MARKETING STRATEGIES
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts1 All
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c183-c190
Year: July 2022
Downloads: 220
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Marketing, Gleubow Museum, National Japanese American Museum, Creative Management.
Paper Title: WEB APPLICATION FOR GARAGE CONTROL SYSTEMS
Author Name(s): Ashwin Bhat
Published Paper ID: - IJCRT2207288
Register Paper ID - 222710
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207288 and DOI :
Author Country : Indian Author, India, 574154 , Mulki, 574154 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207288 Published Paper PDF: download.php?file=IJCRT2207288 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207288.pdf
Title: WEB APPLICATION FOR GARAGE CONTROL SYSTEMS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c179-c182
Year: July 2022
Downloads: 236
E-ISSN Number: 2320-2882
The user of the Garage Management System in this article is able to monitor any garage activity. It is a browser application that enables the user to control the stock of the garage, look for among other things, we plan delivery and estimate repairs. It records both the maintenance history of the car and the spent some time in the repair shop. Additionally, it records the inventory of automobile parts. It will monitor all vehicles that have been kept up with and are ready to send service Based on the dates of the services, consumers are reminded. Admin The Garage Management System has limited access. The user is allowed to monitor a variety of users, including as, among other things, principals, admin staff, and managers. This handy internet tool can help garage owners keep track of activities that take place there. Based on their service needs, customers are provided via the garage management system. Eliminating manual work is the main objective of this effort. This system has the ability to allocate engineers to specific jobs.
Licence: creative commons attribution 4.0
Registration book, client, server, database, operational garage, garage administration, automotive sector
Paper Title: PREDICT THE USAGE OF WHATSAPP USING MACHINE LEARNING
Author Name(s): Athmika H R, Adithi N, Anusha H, Anusha N, Meena G
Published Paper ID: - IJCRT2207287
Register Paper ID - 223153
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207287 and DOI :
Author Country : Indian Author, India, 560047 , Bangalore, 560047 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207287 Published Paper PDF: download.php?file=IJCRT2207287 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207287.pdf
Title: PREDICT THE USAGE OF WHATSAPP USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c176-c178
Year: July 2022
Downloads: 213
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
WhatsApp, Machine learning, classification models
Paper Title: CUSTOMER PERCEPTION TOWARDS SBI MOBILE BANKING SERVICE
Author Name(s): S.ANU, M.P.KUMARAN
Published Paper ID: - IJCRT2207286
Register Paper ID - 223232
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207286 and DOI :
Author Country : Indian Author, India, 641035 , COIMBATORE, 641035 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207286 Published Paper PDF: download.php?file=IJCRT2207286 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207286.pdf
Title: CUSTOMER PERCEPTION TOWARDS SBI MOBILE BANKING SERVICE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c171-c175
Year: July 2022
Downloads: 223
E-ISSN Number: 2320-2882
This study concluded that in this digital world mobile banking plays a major role in every individual of the economy. This study is done on customer perception towards SBI Mobile Banking service. The study result shows that majority of the customers tend to use mobile banking service to avoid cashless transactions. There some pros and cons that prevail in the service. The banks take necessary precautions to retain the customers.
Licence: creative commons attribution 4.0
Mobile Banking, Customer, State Bank Of India
Paper Title: A NOVEL METHOD FOR IDENTIFYING SKIN CANCER DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK
Author Name(s): Manjushree desai, Pushpalata
Published Paper ID: - IJCRT2207285
Register Paper ID - 223231
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207285 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207285 Published Paper PDF: download.php?file=IJCRT2207285 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207285.pdf
Title: A NOVEL METHOD FOR IDENTIFYING SKIN CANCER DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c166-c170
Year: July 2022
Downloads: 226
E-ISSN Number: 2320-2882
Skin cancer is defined as the proliferation and migration of aberrant epithelial tissue, the outermost layer of the skin, as a result of Mitochondrial dysfunction that results in hazardous alterations. These mutations cause skin cells to multiply quickly and become cancerous malignancies. Despite ongoing medical improvements, melanoma continues to be an issue. According to the Skin Cancer Foundation, by the age of seventy, one out of every five persons will have skin cancer. The project expects to plan a framework that will be adequately proficient to distinguish the occurrences of different sorts of skin malignancy in the body by extracting significant features from the dataset. the classification has been done by using CNN (Convolutional Neural Networks) Algorithm. For individuals, skin cancer is a terrifying affliction. The quality of early identification of skin cancer has increased as a result of the high growth rate of Melanoma skin cancer, its high treatment expenses, and death rate. Cancer cells are manually discovered, and most cases take time to treat. This article proposed an artificial skin cancer diagnostic method automatic visual and computer vision. After the morphologic images have been divided, the extraction of features approach is used to extract the properties of the injured skin cells. A deep learning-based approach called a convolutional neural network classifier is used to stratify the retrieved characteristics.
Licence: creative commons attribution 4.0
: Skin Cancer, Machine Learning, Computer Vision, Convolution Neural Network, Tensor flow.
Paper Title: TECHNOLOGICAL INNOVATION OF MINI TRACTOR AND CONSUMPTION BY TRIBAL FARMERS IN SOUTH GUJARAT
Author Name(s): Dr.Dineshbhai Rajubhai Chaudhari
Published Paper ID: - IJCRT2207284
Register Paper ID - 223064
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207284 and DOI :
Author Country : Indian Author, India, 392021 , GANDHINAGAR, 392021 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207284 Published Paper PDF: download.php?file=IJCRT2207284 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207284.pdf
Title: TECHNOLOGICAL INNOVATION OF MINI TRACTOR AND CONSUMPTION BY TRIBAL FARMERS IN SOUTH GUJARAT
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c151-c165
Year: July 2022
Downloads: 291
E-ISSN Number: 2320-2882
In an agricultural country like India, the average land holding is very small and its population is steadily increasing without any possibility of increase in land area. The income from cropping for an average farmer is hardly sufficient to sustain his family. The tribal farmer has to be assured of a regular income, needed for a reasonable standard of living and the use of agriculture technology Mini Tractor, help them in improving their income which has been evident from this study. The Mini Tractor has been making a major impact on the social and economic life of tribal farmer in Surat district, Gujarat. Mini Tractors are mostly used for multipurpose activities such as ploughing, threshing, land levelling and transportation of goods from farms to market, etc.Mini Tractor is economically very cheaper than big tractor, so it is more convenient to small farmers. Big tractors are very costly and only big farmers can afford it and smaller farmers cannot afford big tractor. Since small farmers have smaller fields, so this kind of Mini Tractor is very useful for them. Mini Tractor is affordable for small and marginal tribal farmers and it can also be used in the field, when crops are grown, for various purposes like making small irrigation cannel, eradicating unwanted crops/weeds grown between two rows of crops, and putting fertilizers in the field, etc. It is not only low budget tractor but also low maintenance and operational cost due to low fuel consumption. The Government of India has been encouraging small and marginal farmers to use Mini Tractor in the country by making subsidy available to them. It is indigenously developed tractor and for promotion of its multipurpose use.
Licence: creative commons attribution 4.0
Mini Tractor, Tribal farmers, Agriculture Technology, Grassroots Innovation, Mechanization
Paper Title: A CRITICAL STUDY OF THE PERCEPTION OF NANOTECHONOLOGY IN POST-MODERN SCIENCE FICTION
Author Name(s): DR. UMAJI ANANDA PATIL
Published Paper ID: - IJCRT2207283
Register Paper ID - 223217
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207283 and DOI :
Author Country : Indian Author, India, 416101 , Jaysingpur, 416101 , | Research Area: Languages Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207283 Published Paper PDF: download.php?file=IJCRT2207283 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207283.pdf
Title: A CRITICAL STUDY OF THE PERCEPTION OF NANOTECHONOLOGY IN POST-MODERN SCIENCE FICTION
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Languages
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c146-c150
Year: July 2022
Downloads: 202
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
[Key Words- Nano-science, Technology, Science, Perception etc.]
Paper Title: STUDENT MARKS PREDICTION USING MACHINE LEARNING TECHNIQUES
Author Name(s): A Harika, Akshatha K A, Anirudh A, Eesha B S, Sandhya A Kulkarni
Published Paper ID: - IJCRT2207282
Register Paper ID - 223173
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207282 and DOI :
Author Country : Indian Author, India, 560078 , Bangalore , 560078 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207282 Published Paper PDF: download.php?file=IJCRT2207282 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207282.pdf
Title: STUDENT MARKS PREDICTION USING MACHINE LEARNING TECHNIQUES
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c140-c145
Year: July 2022
Downloads: 252
E-ISSN Number: 2320-2882
To understand the student's rate of progress, it is crucial to forecast their performance. "Prevention is better than cure," goes the saying. The success of students can be significantly increased with early identification of at-risk students and preventive actions. The recommended task is utilized to assess a student's performance right now and forecast their outcomes in the future. Every year, many kids fall behind because of inadequate supervision and assistance. Based on the results, teachers can concentrate on the students who are more likely to receive lower grades in the final semester and can also help the student by identifying needs for the final exams. This project's major goal is to show how likely it is to train and model the dataset and how feasible it is to create a predictive model for student performance with a dependable accuracy rate.
Licence: creative commons attribution 4.0
Marks Prediction, Random Forest, User interface, Model.
Paper Title: PERFORMANCE EVALUATION OF K-MEANS AND K-MEDOIDS CLUSTERING TECHNIQUES ON A SERVER LOG FILE
Author Name(s): Charu Sharma
Published Paper ID: - IJCRT2207281
Register Paper ID - 223076
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207281 and DOI :
Author Country : Indian Author, India, 171002 , SHIMLA, 171002 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207281 Published Paper PDF: download.php?file=IJCRT2207281 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207281.pdf
Title: PERFORMANCE EVALUATION OF K-MEANS AND K-MEDOIDS CLUSTERING TECHNIQUES ON A SERVER LOG FILE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: c133-c139
Year: July 2022
Downloads: 194
E-ISSN Number: 2320-2882
In an era where the use of technology has evolved manifolds, this resulted in the availability of information globally. Therefore, due to the multiple access of data over the internet, retrieval of desirable information has become a tedious and a time consuming task. Hence, use of various Data Mining techniques has become necessary for all the websites to allow the needed information to be accessed by the user. This results in the concept of Website Personalization, for which various Data Mining techniques are used, which further means to customize the website as per the need of almost every user visiting the website. One of the commonly used technique in Website Personalization is Clustering. Clustering is an unsupervised learning technique and is the process of grouping similar objects into different groups based on their centroid distance in a data set. Two most widely used techniques of clustering are K-Means and K-Medoids. In this paper, the concept of clustering is studied and the performance of both the techniques is analyzed graphically. The paper analyzes the performance using the methods i.e. Average Within Centroid Distance and Davies Bouldin on the Server Log Data.
Licence: creative commons attribution 4.0
Data Mining, Website Personalization, Server Data, Cluster Analysis, Euclidean Distance, K-Means, K-Medoids, Average Within Centroid Distance, Davies Bouldin, Rapid Miner.