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: SKIN CLEANSING BEADS: COMPARATIVE STUDY OF β-GLUCAN FROM DIFFERENT SOURCES FOR THE PRODUCTION OF A HEALTHY SKIN CLEANSING COSMETIC PRODUCT.
Author Name(s): Shivi Sharma, Shivangi Chauhan, Pratima Yadav, Amit Mishra
Published Paper ID: - IJCRT2212209
Register Paper ID - 228766
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212209 and DOI :
Author Country : Indian Author, India, Agra-282010 , Agra, Agra-282010 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212209 Published Paper PDF: download.php?file=IJCRT2212209 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212209.pdf
Title: SKIN CLEANSING BEADS: COMPARATIVE STUDY OF β-GLUCAN FROM DIFFERENT SOURCES FOR THE PRODUCTION OF A HEALTHY SKIN CLEANSING COSMETIC PRODUCT.
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: c49-c58
Year: December 2022
Downloads: 159
E-ISSN Number: 2320-2882
The present invention relates to a semi-solid composition in the form of cleansing beads comprising ?-glucan, omega 3 and vitamin C for use in skin hygiene processes, wherein the brittle material of the beads is ruptured by force by an individual performing a skin hygiene process so that the fragile substance can store the active ingredient until the active ingredient is immediately released from the storage state. The ?-glucan and omega 3 are obtained from barley seed and flaxseed. Production of skin cleansers for improving the skin contour by restoring youthful mechanical properties of the skin. More particularly, it relates to semi-solid composition in the form of cleansing beads comprising ?-glucan, omega 3 and vitamin C for use in skin hygiene processes.
Licence: creative commons attribution 4.0
Paper Title: AYURVEDIC APPROACH IN THE MANAGEMENT OF JANUSANDHIGATAVATA ASSOCIATED WITH STHOULYA - A CASE STUDY
Author Name(s): Dr.Chaitali Tarwate, Dr.Rushali Thakur, Dr.Satish Urhe., Dr.Roshan Dhale
Published Paper ID: - IJCRT2212208
Register Paper ID - 228763
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212208 and DOI :
Author Country : Indian Author, India, 422403 , NASHIK, 422403 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212208 Published Paper PDF: download.php?file=IJCRT2212208 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212208.pdf
Title: AYURVEDIC APPROACH IN THE MANAGEMENT OF JANUSANDHIGATAVATA ASSOCIATED WITH STHOULYA - A CASE STUDY
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: C47-C48
Year: December 2022
Downloads: 196
E-ISSN Number: 2320-2882
There are so many reasons for pain, the most common cause of joint pain often affecting the middle age and older age people is sandhigatvata. The main symptoms of sandhigatvata are pain, stiffness, swelling, and crepitus. It is mainly occurs due to the etiological factors which are classified as Dhatukshyjanya and Margavrodhjanya. Aging and obesity are the major risk factor of increased prevalence as the occurance of osteoarthiritis. In present study 46 yr female having 88kg complaining of Janusandhishool, Kriyakashtata, Shoth, Malavshtambh was diagnosed as Upstambit Janusandhigatvata. The Ayurvedic drug combination which include Trifala guggul, Bhallatakasav, Medohar guggul, along with Panchakarma Procedure which includes Lekhan Basti, Taildhara of Chandanbala Lakshadi Tail, etc was given for 15 days to manage Upstambhit Janusandhigatvata
Licence: creative commons attribution 4.0
Janusandhigatvata, Osteoarthritis, Lekhan basti,sthoulya
Paper Title: ANTI-CASTE MOVEMENTS AND SOCIAL CHANGE IN KERALA: THE ROLE OF REFORMERS AND THEIR ORGANIZATIONS.
Author Name(s): Ajitha.M.U
Published Paper ID: - IJCRT2212207
Register Paper ID - 228758
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212207 and DOI :
Author Country : Indian Author, India, 680504 , Thrissur, 680504 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212207 Published Paper PDF: download.php?file=IJCRT2212207 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212207.pdf
Title: ANTI-CASTE MOVEMENTS AND SOCIAL CHANGE IN KERALA: THE ROLE OF REFORMERS AND THEIR ORGANIZATIONS.
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: C43-C46
Year: December 2022
Downloads: 465
E-ISSN Number: 2320-2882
Caste system is a special phenomenon seen only in India .The racial discrimination started in India when the Aryans and the former inhabitants started living together as one community. Caste system in Kerala has not existed anywhere else as the Arya Brahmins invaded and gained all the power here, they created the caste system to keep the society completely united under their leadership. As the Brahmins gained spiritual ascendancy and increased influence in the social and political arenas Chaturvarnnya became an inviolable custom. The castes from Nair to Namboothiri treated as privileged class and they exploit all the castes below them A political section emerged here to support the Brahmins and protected the social and economic conditions of that time.
Licence: creative commons attribution 4.0
Casteism, Untouchability, pollution, Community
Paper Title: IDENTIFICATION AND SYSTEMATIZATION OF SKIN DISEASES USING YOLOR
Author Name(s): Harshitha P, Dr.K.R Shylaja
Published Paper ID: - IJCRT2212206
Register Paper ID - 228757
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212206 and DOI :
Author Country : Indian Author, India, 562123 , Banglore, 562123 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212206 Published Paper PDF: download.php?file=IJCRT2212206 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212206.pdf
Title: IDENTIFICATION AND SYSTEMATIZATION OF SKIN DISEASES USING YOLOR
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: C37-C42
Year: December 2022
Downloads: 161
E-ISSN Number: 2320-2882
Skin disease, one of the deadliest types of cancer is becoming more lethal as fewer people become aware of its symptoms and how to prevent it. The purpose of this research is to identify and classify using machine learning and image processing techniques to treat various types of skin cancer. In this effort, we created a pre-processing image. We modified the dataset, reduced the size of the images, and removed hairs from them in order to meet the requirements of each model. Using pre-trained ImageNet weights and tweaked convolution neural networks, the EfficientNet B0 skin ISIC dataset was trained.
Licence: creative commons attribution 4.0
Disease Detection, Image Processing ,YOLOR, EfficientNet B0, Quantification
Paper Title: UNUSUAL CROWD ACTIVITY DETECTION
Author Name(s): DHANYA K N, DR.SIDDARAJU
Published Paper ID: - IJCRT2212205
Register Paper ID - 228755
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212205 and DOI :
Author Country : Indian Author, India, 573201 , HASSAN, 573201 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212205 Published Paper PDF: download.php?file=IJCRT2212205 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212205.pdf
Title: UNUSUAL CROWD ACTIVITY DETECTION
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: C30-C36
Year: December 2022
Downloads: 176
E-ISSN Number: 2320-2882
Unusual human activity detection in crowded scenes. Suspicious behavior is hazardous in public settings and can result in significant casualties. Systems that detect motion or pedestrians have been developed using video frame collection, however even in real time, those systems lack the intelligence to spot unusual activity. To quickly and effectively manage a scamper issue before any casualties occur, it is necessary to spot scamper situations in real time via video monitoring. The proposed system focuses on identifying suspicious activity and aims to provide a technique that makes use of computer vision to detect suspicious behavior automatically. The system in this instance makes use of the OpenCV library to instantly classify various activities. The examination of the motion regularly shifts the location between two locations has been represented by a motion influence map. Utilizing CNN and YOLO algorithm for real-time object detection.
Licence: creative commons attribution 4.0
Unusual crowd activity detection, OpenCV, CNN, YOLO
Paper Title: MACHINE FAULT DETECTION WITH SOUND PATTERNS USING DEEP LEARNING
Author Name(s): Ravi Kiran K V, Dr. Shamshekhar S. Patil
Published Paper ID: - IJCRT2212204
Register Paper ID - 228754
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212204 and DOI :
Author Country : Indian Author, India, 560010 , Bangalore, 560010 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212204 Published Paper PDF: download.php?file=IJCRT2212204 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212204.pdf
Title: MACHINE FAULT DETECTION WITH SOUND PATTERNS USING DEEP LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: C24-C29
Year: December 2022
Downloads: 191
E-ISSN Number: 2320-2882
This study attempts to give the user the machine's operational condition while simultaneously detecting flaws or damage in big industrial machinery in real-time. However, due to the complexity of real-world systems and the clear presence of nonlinear elements, it is highly challenging to diagnose a machine malfunction using standard approaches based on mathematical models. A computer-aided diagnostic system with artificial intelligence (CADS-AI), which aids in early fault diagnosis, can resolve this issue. To assure that the CADS solution can be trusted, a machine failure detection system based on sound patterns is created in this study. The YAMNet Model classified the sounds as normal or abnormal with an accuracy of 78.31%. By using window inference on the audio file with a mean score, the predicted output was decoded. By using real-time audio input or uploading machine sounds to the system, the proposed solution can be inferred.
Licence: creative commons attribution 4.0
Pattern Recognition, Machine Learning, Machine Fault Diagnosis, Audio Processing, Acoustic emission signals
Paper Title: FORMULATION & CHARACTERIZATION OF LIPSTICK BY USING HERBAL PIGMENTS
Author Name(s): Sandip Vishvanath Phoke, Patil S. S., Pawar M.G, Rawat S. S., Hatkar A. D
Published Paper ID: - IJCRT2212203
Register Paper ID - 228728
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212203 and DOI :
Author Country : Indian Author, India, 431203 , BAdnapur, 431203 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212203 Published Paper PDF: download.php?file=IJCRT2212203 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212203.pdf
Title: FORMULATION & CHARACTERIZATION OF LIPSTICK BY USING HERBAL PIGMENTS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: C18-C23
Year: December 2022
Downloads: 203
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Keywords: Herbal lipstick, Anthocyanin, Beta vulguris, Formulation, Evaluation.
Paper Title: A STUDY ON PROBLEMS FACED BY THE WOMEN ENTREPRENEURS
Author Name(s): A.V.R. Karthikeyan, Dr. P. Balamurugan
Published Paper ID: - IJCRT2212202
Register Paper ID - 228666
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212202 and DOI :
Author Country : Indian Author, India, 608001 , Annamalai Nagar , 608001 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212202 Published Paper PDF: download.php?file=IJCRT2212202 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212202.pdf
Title: A STUDY ON PROBLEMS FACED BY THE WOMEN ENTREPRENEURS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: C11-C17
Year: December 2022
Downloads: 180
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Empowerment, Women Entrepreneur, Independent, Social Barriers, Environment, Gender
Paper Title: CLASSIFICATION OF BRAIN TUMOR USING FINETUNED EFFICIENTNET
Author Name(s): BONI YAMINI YASODA, D.B.V JAGANNADHAM
Published Paper ID: - IJCRT2212201
Register Paper ID - 228658
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212201 and DOI :
Author Country : Indian Author, India, 530008 , VISAKHAPATNAM, 530008 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212201 Published Paper PDF: download.php?file=IJCRT2212201 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212201.pdf
Title: CLASSIFICATION OF BRAIN TUMOR USING FINETUNED EFFICIENTNET
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: C1-C10
Year: December 2022
Downloads: 166
E-ISSN Number: 2320-2882
Brain tumor is the growth of abnormal cells in brain some of which may leads to cancer. The usual method to detect brain tumor is Magnetic Resonance Imaging (MRI) scans. From the MRI images information about the abnormal tissue growth in the brain is identified. In various research papers, the detection of brain tumor is done by applying Machine Learning and Deep Learning algorithms. When these algorithms are applied on the MRI images the prediction of brain tumor is done very fast and a higher accuracy helps in providing the treatment to the patients. These Prediction also helps the radiologist in making quick decisions. In the proposed work, a self-defined Convolution Neural Network (CNN) is applied in detecting the presence of brain tumor and their performance is analyzed Efficient Network is one of CNN models that proposes high accuracy and less computational. Accordingly, this study suggested using the Efficient Network architecture to classify the types of glioma, meningioma, and pituitary brain tumours. Efficient Network has eight levels of category, which are from EfficientNet-B0 to EfficientNet-B7. This study obtains accuracy for best results in EfficientNet-B3 which achieved a accuracy of 97.34%.
Licence: creative commons attribution 4.0
Image classification, Brain Tumor, EfficientNet
Paper Title: A REVIEW PAPER ON 5G WIRELESS NETWORKS IN IOT
Author Name(s): MS. Neha singh, Palak saini, Deepali yadav, Manisha yadav
Published Paper ID: - IJCRT2212200
Register Paper ID - 228635
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2212200 and DOI :
Author Country : Indian Author, India, 110006 , new delhi, 110006 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212200 Published Paper PDF: download.php?file=IJCRT2212200 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212200.pdf
Title: A REVIEW PAPER ON 5G WIRELESS NETWORKS IN IOT
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 12 | Year: December 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 12
Pages: b744-b746
Year: December 2022
Downloads: 164
E-ISSN Number: 2320-2882
We are surrounded by a world of electronics and fasting technologies and hence IoT is presently an emerging technology worldwide. The Internet of Things is a network of physical devices like (vehicles, home applications, and other objects) embedded with such devices (electronics, software, sensors, actuators, and network connectivity) that allows us to enable these objects/devices to connect and exchange data. Through internet they can be inter operated with each other. With the introduction of 5G wireless communication, the world of the internet has changed. 5G wireless technology helps to deliver higher multi-Gbps peak data speeds, more reliable, ultra-low latency, increased availability, huge massive network capacity, and more similar user advantages for more users. Higher performance and better efficiency provides better user experiences and connecting new industries through 5G. In this study, we provide a vision of IoT which will be the driving force behind the huge massive digital revolution in the future. The communication technologies and the architecture of 5G in IoT systems have been discussed in detail. In addition, we also indicated the profound challenges of current standard communication technologies in IoT and future research directions of IoT.
Licence: creative commons attribution 4.0
IoT, 5G, 4G, Wifi, LoraWan, Bluetooth, Wifi Direct, Zigbee, architecture