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: CLASSIFYING FAKE AND REAL JOB RECRUITMENT USING ADA BOOST SND GRADIENT ALGORITHMS IN MACHINE LEARNING
Author Name(s): Afreen Sultana, Humera Tabbasum, Dr.Mohammed Abdul Bari
Published Paper ID: - IJCRT2205244
Register Paper ID - 219314
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205244 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205244 Published Paper PDF: download.php?file=IJCRT2205244 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205244.pdf
Title: CLASSIFYING FAKE AND REAL JOB RECRUITMENT USING ADA BOOST SND GRADIENT ALGORITHMS IN MACHINE LEARNING
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: c247-c252
Year: May 2022
Downloads: 306
E-ISSN Number: 2320-2882
To avoid fraudulent post for job in the internet, an automated tool using machine learning based classification techniques is proposed in the paper. Different classifiers are used for checking fraudulent post in the web and the results of those classifiers are compared for identifying the best employment scam detection model. It helps in detecting fake job posts from an enormous number of posts. Two major types of classifiers, such as single classifier and ensemble classifiers are considered for fraudulent job posts detection. However, experimental results indicate that ensemble classifiers are the best classification to detect scams over the single classifiers.
Licence: creative commons attribution 4.0
Fake Job, Online Recruitment, Machine Learning, Ensemble Approach.
Paper Title: SUSTAINABILITY THROUGH COST CUT TECHNIQUE OF AR. LAURIE BAKER
Author Name(s): Rajeshwari Yadav, Ar. Palash Agrawal
Published Paper ID: - IJCRT2205243
Register Paper ID - 219178
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205243 and DOI :
Author Country : Indian Author, India, 444601 , Amaravati, 444601 , | Research Area: Other area not in list Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205243 Published Paper PDF: download.php?file=IJCRT2205243 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205243.pdf
Title: SUSTAINABILITY THROUGH COST CUT TECHNIQUE OF AR. LAURIE BAKER
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Other area not in list
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: c242-c246
Year: May 2022
Downloads: 363
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Sustainability, Vernacular, Modernism, Economic, Ecological.
Paper Title: COMPRESSED STABILIZED EARTH BLOCK AS AN ALTERNATIVE OF WALL BUILDING MATERIAL.
Author Name(s): Prajkata Sanjay Sulke, Ar. Chinmay Burange
Published Paper ID: - IJCRT2205242
Register Paper ID - 219212
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205242 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=IJCRT2205242 Published Paper PDF: download.php?file=IJCRT2205242 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205242.pdf
Title: COMPRESSED STABILIZED EARTH BLOCK AS AN ALTERNATIVE OF WALL BUILDING MATERIAL.
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: c235-c241
Year: May 2022
Downloads: 335
E-ISSN Number: 2320-2882
In the past few years Environment pollution is the foremost concerned issue. Awareness growing to save the environment. In our country, burnt clay brick is the foremost used building material. Which deliver a noteworthy amount of greenhouse gasses and also it destroys a huge amount of agricultural land every year. Regarding the issue of I am seeking for sustainable and eco-friendly building material. Compressed Stabilized Earth Block (CSEB) provide the opportunity of energy efficient, eco-friendly, agriculture friendly and sustainable development. It does not contribute any harmful gasses during production. In this study, how soil is used to produce CSEB block, which helps to save the agricultural land. CSEB have been made with the different composition of cement, sand and river dredged soil. The comparison between the cseb block and the brick are study with respective with their cost, weight, strength and many other properties. The compressive strength of different blocks is measured to discover the appropriate composition to create CSEB additionally to compare among them to discover out the ideal composition.
Licence: creative commons attribution 4.0
Sustainability, Environment-friendly, Agriculture friendly, River dredged soil.
Paper Title: A REVIEW ON FRAME SHEAR WALL:- A PROTECTIVE MEASURE AGAINST SEISMIC WAVES
Author Name(s): Sanket Mendhe, Ishika Rangari, Baqar Hussain Taji, Saleha Ansari, Prof. Sayyed Aamir Hussain
Published Paper ID: - IJCRT2205241
Register Paper ID - 219379
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205241 and DOI :
Author Country : Indian Author, India, 440009 , Nagpur, 440009 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205241 Published Paper PDF: download.php?file=IJCRT2205241 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205241.pdf
Title: A REVIEW ON FRAME SHEAR WALL:- A PROTECTIVE MEASURE AGAINST SEISMIC WAVES
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: c229-c234
Year: May 2022
Downloads: 306
E-ISSN Number: 2320-2882
The usefulness of shear walls in the structural planning of multistory buildings has long been recognized. When walls are situated in advantageous positions in a building, they can be very efficient in resisting lateral loads originating from wind or earthquakes. Reinforced concrete framed buildings are adequate for resisting both vertical and horizontal loads acting on them. Extensive research has been done in the design and analysis of shear wall high rise buildings. A residential building High rise structure is considered for the analysis. To evaluate the seismic response of the buildings and analysis was performed by using response spectrum method using Finite element based software-STAAD Pro. The properties of these seismic shear walls dominate the response of the buildings, and therefore, it is important to evaluate the seismic response of the walls appropriately. A study on an regular highrise building with shear wall and without shear wall was studied to understand the lateral loads, story drifts and torsion effects. From the results it is inferred that shear walls are more resistant to lateral loads in structure.
Licence: creative commons attribution 4.0
Walls, Lateral Loads, Shear Wall, Torsion, STAAD Pro.
Paper Title: SOME BASIC PROPERTIES OF NEAR PLITHOGENIC NEUTROSOPHIC HYPERSOFT SETS
Author Name(s): Dhivya.E, A.Arokia Lancy
Published Paper ID: - IJCRT2205240
Register Paper ID - 219262
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205240 and DOI :
Author Country : Indian Author, India, 641018 , Coimbatore, 641018 , | Research Area: Mathematics All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205240 Published Paper PDF: download.php?file=IJCRT2205240 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205240.pdf
Title: SOME BASIC PROPERTIES OF NEAR PLITHOGENIC NEUTROSOPHIC HYPERSOFT SETS
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: c223-c228
Year: May 2022
Downloads: 305
E-ISSN Number: 2320-2882
The aim of the paper is to combine the plithogenic neutrosophic hypersoft set with the near set theory given by James. F. Peters and to introduce near plithogenic neutrosophic hypersoft set. Near plithogenic neutrosophic hypersoft sets are considered as mathematical tools for dealing with ambiguities. We first present the basic operations like union, intersection and some basic properties of the set. Also, some of the theoretical properties of the set are discussed.
Licence: creative commons attribution 4.0
Near set; Hypersoft set; Plithogenic hypersoft set; Near plithogenic neutrosophic hypersoft set
Paper Title: COMPREHENSIVE STUDY ON REGULATORY REQUIREMENTS FOR EXCIPIENTS IN EU
Author Name(s): Ms. Tejaswi Jalindar Aher
Published Paper ID: - IJCRT2205239
Register Paper ID - 219356
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205239 and DOI :
Author Country : Indian Author, India, 413712 , Pravaranagar, 413712 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205239 Published Paper PDF: download.php?file=IJCRT2205239 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205239.pdf
Title: COMPREHENSIVE STUDY ON REGULATORY REQUIREMENTS FOR EXCIPIENTS IN EU
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: c202-c222
Year: May 2022
Downloads: 336
E-ISSN Number: 2320-2882
The qualities of a formulation are affected by excipients, which are an important aspect in a dosage form. Excipients were once thought to be inactive components; however, it has now been discovered that they can have substantial negative effects. Many countries have experienced disasters in the past as a result of undiscovered excipient toxicity and mistreatment of excipients during transit. These tragedies call regulators' attention to the quality of excipients. Excipients can cause a variety of negative effects, such as hypersensitivity and allergies. When it comes to a novel excipient, preclinical research is much more important. New chemical excipients will be regulated in the same way as new APIs, according to the European Union (EU) directive 75/318/EEC. Within the EU, a regulatory dossier is necessary for any novel excipient (s). Excipients are employed as protecting agents, bulking agents, and in rare cases, to improve medication absorption. The International Pharmaceutical Excipients Council (IPEC) was founded in 1991 as a trade group that brought together excipient manufacturers and their pharmaceutical formulation clients.
Licence: creative commons attribution 4.0
Excipients, Novel excipients, Dossier, CTD, CEP.
Paper Title: EXTRACTION OF BROWN DYE FROM SESAME SEEDS
Author Name(s): Safreena kabeer, Keerthana S, Priya Dharshini V S, S Kiruthika, S Mahalakshmi
Published Paper ID: - IJCRT2205238
Register Paper ID - 219641
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205238 and DOI :
Author Country : Indian Author, India, 641041 , Coimbatore, 641041 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205238 Published Paper PDF: download.php?file=IJCRT2205238 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205238.pdf
Title: EXTRACTION OF BROWN DYE FROM SESAME SEEDS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 5 | Year: May 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 10
Issue: 5
Pages: c195-c201
Year: May 2022
Downloads: 302
E-ISSN Number: 2320-2882
The use of synthetic color in food production has increased in the last decades, since they result in some unsafe product for human consumption. This study reports the extraction of natural brown colourant from sesame seeds using solvent extraction technique. The sesame plant, Sesamum radiatum, oil seeds that contain protein, fiber, and healthy fats. The hull gives the seeds a golden-brown hue. The colorant from the sesame seeds were extracted using 1% NaOH solution by centrifugation. The phenolic compound present in the sesame seeds were oxidized and polymerized to form melanin. The extract resembles the melanin pigment and the test was performed to validate the melanin content. The color characteristics were studied using colorimetry at different nanometers. Further the color stability for the extract was evaluated by storing at different environmental conditions (at dark place, at refrigerated, at room temperature and at sun light) for 30 days. The effect of heat and light on the colorant was determined by the transmittance value at interval of 5 days. The study concludes that, the refrigerated colorant has the high colour stability compared with other environmental conditions. This study initiates to use natural colorant in foods, which is currently dominated by synthetic colors.
Licence: creative commons attribution 4.0
Sesamum radiatum, solvent extraction, melanin, natural colorant.
Paper Title: SHARECARE - REDUCING FOOD WASTAGE
Author Name(s): Harshita Rai, Mansi, Amit Singh, Ram Kumar Sharma
Published Paper ID: - IJCRT2205237
Register Paper ID - 219608
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205237 and DOI :
Author Country : Indian Author, India, 231222 , Greater Noida, 231222 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205237 Published Paper PDF: download.php?file=IJCRT2205237 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205237.pdf
Title: SHARECARE - REDUCING FOOD WASTAGE
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: c192-c194
Year: May 2022
Downloads: 310
E-ISSN Number: 2320-2882
ShareCare - Reducing food Wastage is an web utility designed basically to be used in the meals delivery enterprise. This device will lessen the wastage of foods in inns and restaurants and would provide meals to the needy ones. This device is essentially for NGOs who should get unfastened meals and healthy meals for humans. It will permit brief and clean control of online menu which clients can browse and use to area orders with simply few clicks. The online step with ShareCare - Reducing meals wastage will provide comfort for the NGOs. This system will increase the takeaway of ingredients which might have wasted. The web application sets up menu online and the clients without problems locations the order with a simple click. Also, the food menu can easily be maintained and improve their meals delivery facts. This device allows the consumer to choose the desired quantity of meals they require, from the displayed menu. The user orders the meals by means of following steps. The details of the consumer is exclusive right here as it keeps a separate account for each user And the identification and the password are supplied for each customers. Therefore, it offers a secured ordering. The application might be available via internet from telephones, laptops, Tablets.
Licence: creative commons attribution 4.0
Reduce Food Wastage, meals, order brief, web utility.
Paper Title: GOOGLE PLAY STORE APP RATING PREDICTION
Author Name(s): M Sai Kiran, P V S Karthikeya, M S Kushal Raj, Manuka Varun Teja
Published Paper ID: - IJCRT2205236
Register Paper ID - 219619
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205236 and DOI :
Author Country : Indian Author, India, 500055 , Hyderabad, 500055 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205236 Published Paper PDF: download.php?file=IJCRT2205236 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205236.pdf
Title: GOOGLE PLAY STORE APP RATING PREDICTION
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: c182-c191
Year: May 2022
Downloads: 398
E-ISSN Number: 2320-2882
In order to create new software, it is necessary to adhere to established implementation standards. The development of applications for marketplaces has been difficult when it comes to the sale and acceptance of software by clients. The number of downloads, the number of comments, and the number of ratings on apps can all be found in app stores. A pattern of app success may be deduced from the obstacles encountered in these sectors and their methods of problem analysis. It was intended to construct two inference engines utilizing SVM and Random Forest algorithms based on this scenario, as well as to research the attributes that best correlate with app ratings and calculate and assess regression metrics using a Google Play Store database.
Licence: creative commons attribution 4.0
Google Play Store Apps, Predicting Ratings, and Machine Learning are some of the keywords.
Paper Title: RESNET18 MODEL WITH SEQUENTIAL LAYER FOR COMPUTING ACCURACY ON IMAGE CLASSIFICATION DATASET
Author Name(s): Allena Venkata Sai Abhishek, Dr. Venkateswara Rao Gurrala, Dr. Laxman Sahoo
Published Paper ID: - IJCRT2205235
Register Paper ID - 219523
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2205235 and DOI :
Author Country : Indian Author, India, 530007 , VISAKHAPATNAM, 530007 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205235 Published Paper PDF: download.php?file=IJCRT2205235 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205235.pdf
Title: RESNET18 MODEL WITH SEQUENTIAL LAYER FOR COMPUTING ACCURACY ON IMAGE CLASSIFICATION DATASET
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: c176-c181
Year: May 2022
Downloads: 1210
E-ISSN Number: 2320-2882
This residual network has been a broad domain of research in deep learning. Many complex architectures are based upon residual networks. Residual networks are efficient due to skip connections. This paper highlights the addition of a sequential layer to the traditional RESNET 18 model for computing the accuracy of an Image classification dataset. The classification datasets such as Intel Scene dataset, CIFAR10 dataset, etc. These datasets consist of images belonging to various classes. In classification, we assign the pictures to their respective categories. The addition of a sequential layer gives the accuracy in the range of 0 to 1, which helps find the accuracy of prediction for the test set.
Licence: creative commons attribution 4.0
RESNET18, Sequential Layer, Dropout Layer, Adam Optimizer, NLL Loss Function, ReLU, Classification