IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
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(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: "GENDER ANALYSIS OF CHILDREN WITH INTELLECTUAL DISABILITY: CHALLENGES AND COPING STRATEGIES AMONG PARENTS IN CHITTOOR DISTRICT, ANDHRA PRADESH".
Author Name(s): Dr. B.S. Hemalatha, Dr.P.Neeraja
Published Paper ID: - IJCRT24A5602
Register Paper ID - 259952
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5602 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5602 Published Paper PDF: download.php?file=IJCRT24A5602 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5602.pdf
Title: "GENDER ANALYSIS OF CHILDREN WITH INTELLECTUAL DISABILITY: CHALLENGES AND COPING STRATEGIES AMONG PARENTS IN CHITTOOR DISTRICT, ANDHRA PRADESH".
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o80-o87
Year: May 2024
Downloads: 296
E-ISSN Number: 2320-2882
"GENDER ANALYSIS OF CHILDREN WITH INTELLECTUAL DISABILITY: CHALLENGES AND COPING STRATEGIES AMONG PARENTS IN CHITTOOR DISTRICT, ANDHRA PRADESH".
Licence: creative commons attribution 4.0
Title: "GENDER ANALYSIS OF CHILDREN WITH INTELLECTUAL DISABILITY: CHALLENGES AND COPING STRATEGIES AMONG PARENTS IN CHITTOOR DISTRICT, ANDHRA PRADESH".
Paper Title: SMART DUSTBIN
Author Name(s): Komal S.Nikam, Vaishnavi A. Patil, Aishwarya S.Muchandi, Monali V. Gurav, S.S. Sankpal
Published Paper ID: - IJCRT24A5601
Register Paper ID - 261624
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5601 and DOI :
Author Country : Indian Author, India, 416416 , SANGLI, 416416 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5601 Published Paper PDF: download.php?file=IJCRT24A5601 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5601.pdf
Title: SMART DUSTBIN
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o75-o79
Year: May 2024
Downloads: 724
E-ISSN Number: 2320-2882
The smart garbage collection system uses ultrasonic sensors, servo motors, and RFID card verification to autonomously manage waste. It detects bin fill levels, automates emptying, and ensures only authorized access. The system improves route planning, reduces emissions, and promotes cleaner urban environments, offering a scalable, sustainable waste management solution.
Licence: creative commons attribution 4.0
ArduinoUno,Ultrasonic sensor, Servo motor,RFID reader etc.
Paper Title: BIOANALYTICAL ESTIMATION OF ANTI- HYPERTENSIVE DRUG BY USING HPLC IN HUMAN PLASMA
Author Name(s): Jagdish .P. Kabra, Dr. Monika Jadhao
Published Paper ID: - IJCRT24A5600
Register Paper ID - 262564
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5600 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5600 Published Paper PDF: download.php?file=IJCRT24A5600 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5600.pdf
Title: BIOANALYTICAL ESTIMATION OF ANTI- HYPERTENSIVE DRUG BY USING HPLC IN HUMAN PLASMA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o63-o74
Year: May 2024
Downloads: 288
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Bisoprolol Fumarate, Telmisartan, RP-HPLC, Bioanalytical method, Human plasma
Paper Title: Evaluating Deep Learning Approaches for Feature Extraction in Fine-Grained Air Quality Analysis: A Systematic Review
Author Name(s): Adarsh Bajpai, Dr. Anita Pal
Published Paper ID: - IJCRT24A5599
Register Paper ID - 262059
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5599 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5599 Published Paper PDF: download.php?file=IJCRT24A5599 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5599.pdf
Title: EVALUATING DEEP LEARNING APPROACHES FOR FEATURE EXTRACTION IN FINE-GRAINED AIR QUALITY ANALYSIS: A SYSTEMATIC REVIEW
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o58-o62
Year: May 2024
Downloads: 250
E-ISSN Number: 2320-2882
The rapid advancement in deep learning technologies has significantly impacted the field of environmental monitoring, particularly in the fine-grained analysis of air quality. This systematic review aims to evaluate the current deep learning approaches used for feature extraction in fine-grained air quality analysis. We provide a comprehensive overview of the methodologies, architectures, and techniques employed in recent studies, highlighting their strengths and limitations. By systematically categorizing and analyzing the various deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and hybrid models, this review identifies key features that contribute to accurate air quality predictions. Additionally, we discuss the role of data pre-processing, feature selection, and dimensionality reduction in enhancing model performance. The findings of this review underscore the importance of tailored feature extraction techniques in improving the granularity and reliability of air quality forecasts, and offer insights into future research directions and potential applications in environmental management.
Licence: creative commons attribution 4.0
air quality, deep learning models, convolutional neural networks (CNNs), recurrent neural networks (RNNs)
Paper Title: A Review of Deep Learning Approaches in Image-Based Skin Disease Detection Systems
Author Name(s): Abhishek Verma, Peeyush Kumar Pathak
Published Paper ID: - IJCRT24A5598
Register Paper ID - 262058
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5598 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5598 Published Paper PDF: download.php?file=IJCRT24A5598 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5598.pdf
Title: A REVIEW OF DEEP LEARNING APPROACHES IN IMAGE-BASED SKIN DISEASE DETECTION SYSTEMS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o51-o57
Year: May 2024
Downloads: 249
E-ISSN Number: 2320-2882
The rapid advancement of deep learning technologies has significantly transformed the landscape of medical diagnostics, particularly in the domain of dermatology. This review paper aims to provide a comprehensive overview of the latest developments in deep learning approaches applied to image-based skin disease detection systems. We examine the various convolutional neural network (CNN) architectures and their efficacy in classifying and diagnosing a wide range of skin conditions. The review highlights the critical role of large annotated datasets and discusses the challenges associated with data scarcity and variability. Additionally, we explore the integration of advanced techniques such as transfer learning, ensemble methods, and attention mechanisms in enhancing model performance. The review paper also addresses the limitations of current systems, including issues related to interpretability, overfitting, and the need for real-time processing capabilities. Through a detailed analysis of recent studies, this review underscores the potential of deep learning to revolutionize skin disease diagnostics and outlines future directions for research to bridge existing gaps and improve clinical outcomes.
Licence: creative commons attribution 4.0
skin disease detection, deep learning technologies, convolutional neural networks (CNNs), disease diagnostics
Paper Title: Unveiling the Waterfall Mechanism: A Comprehensive Analysis of Claim Prioritization in India's Insolvency and Bankruptcy Code
Author Name(s): Dr. Shwetta Bajaj
Published Paper ID: - IJCRT24A5597
Register Paper ID - 262562
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5597 and DOI :
Author Country : Indian Author, India, 121002 , Faridabad, 121002 , | Research Area: Other area not in list Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5597 Published Paper PDF: download.php?file=IJCRT24A5597 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5597.pdf
Title: UNVEILING THE WATERFALL MECHANISM: A COMPREHENSIVE ANALYSIS OF CLAIM PRIORITIZATION IN INDIA'S INSOLVENCY AND BANKRUPTCY CODE
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Other area not in list
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o47-o50
Year: May 2024
Downloads: 365
E-ISSN Number: 2320-2882
The enactment of the Insolvency and Bankruptcy Code (IBC) in 2016 revolutionized the resolution of insolvency and bankruptcy cases in India, introducing a structured approach to the process. A pivotal aspect of the IBC is the Waterfall Mechanism, delineating the hierarchical distribution of proceeds from the sale of a corporate debtor's assets. This paper delves into Section 53 of the IBC, elucidating the prioritization of claims ranging from insolvency resolution costs to equity shareholders. Emphasizing the equitable treatment of stakeholders, the mechanism ensures that secured creditors are given precedence while also addressing the claims of unsecured creditors and other interested parties. Recent amendments, notably the inclusion of homebuyers as financial creditors, underscore the dynamic nature of the IBC in response to stakeholder dynamics. As the IBC evolves, ongoing reforms and judicial interpretations will refine its efficacy in managing corporate insolvency and bankruptcy cases in India.
Licence: creative commons attribution 4.0
IBC 2016 , Waterfall Mechanism, Sec 53, prioritization of claims, ongoing reforms, judicial interpretations
Paper Title: THE LEGENDARY TRIBAL FREEDOM FIGHTER "BHAGWAN BIRSA MUNDA
Author Name(s): Ms. Deeviya
Published Paper ID: - IJCRT24A5596
Register Paper ID - 262298
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5596 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5596 Published Paper PDF: download.php?file=IJCRT24A5596 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5596.pdf
Title: THE LEGENDARY TRIBAL FREEDOM FIGHTER "BHAGWAN BIRSA MUNDA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o42-o46
Year: May 2024
Downloads: 348
E-ISSN Number: 2320-2882
Every Rebellion gives birth to a revolution, and it creates history and teaches a lesson to the oppressor. The freedom movement of India gives birth to many revolutionaries who fought against British Raj and their system to get freedom. One such revolution took place in Jharkhand. One of the indigenous tribes that had long since inhabited the area was the Munda tribe. The Legendary hero of the Munda tribe, Bhagwan Birsa Munda created history by playing a role of Savior, Protector of tribal Culture, Defender of tribal administrative Structure and economic system. He raised the voice against the transformation of the tribal agrarian System into the feudal state around the Chhota Nagpur area. His achievements are even more remarkable for having been accomplished before the age of 25. The Aim of this paper is to understand the contributions of the legendary 'Bhagwan Birsa Munda' in struggle movement, who made a remarkable contribution to promoting tribal rights through tribal freedom movements and how he gave a right vision of nation.
Licence: creative commons attribution 4.0
Bhagwan, Birsa Munda, Dharti Aba, freedom fighter, Indian tribal
Paper Title: ROLE OF STATISTICS IN RESEARCH
Author Name(s): Dr Ajay Kumar Govind Rao, Dr Pratiksha Pandey
Published Paper ID: - IJCRT24A5595
Register Paper ID - 262398
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5595 and DOI :
Author Country : Indian Author, India, 211004 , PRAYAGRAJ, 211004 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5595 Published Paper PDF: download.php?file=IJCRT24A5595 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5595.pdf
Title: ROLE OF STATISTICS IN RESEARCH
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o34-o41
Year: May 2024
Downloads: 478
E-ISSN Number: 2320-2882
Most of the researcher's time went through in amassing and examining information: information around temperatures, events, concentrations, lengths, etc. The field of insights bargains with the investigation of data. Using fitting insights, you may be able to create sense of the large amount of information you have collected so that you can simply tell your investigated story coherently and with defense. There is a run of factual devices in research which can offer assistance analysts to oversee their investigated information and make strides the result of them inquire about by way better elucidation of information. You may utilize measurements in inquire about by understanding the inquire about address, information of measurements and your individual involvement in coding.
Licence: creative commons attribution 4.0
research, statistics, tools,
Paper Title: AN EXPERIMENTAL STUDY ON STRENGTH PROPERTIES OF SAWDUST BLOCKS USING LIME, CLAY & Caco3.
Author Name(s): Dr. Sudhikumar G S, DEEPAK G A, MOHITH D, MOULYA M
Published Paper ID: - IJCRT24A5594
Register Paper ID - 262558
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5594 and DOI :
Author Country : Indian Author, India, 572216 , tumkur, 572216 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5594 Published Paper PDF: download.php?file=IJCRT24A5594 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5594.pdf
Title: AN EXPERIMENTAL STUDY ON STRENGTH PROPERTIES OF SAWDUST BLOCKS USING LIME, CLAY & CACO3.
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o25-o33
Year: May 2024
Downloads: 294
E-ISSN Number: 2320-2882
This study investigates the feasibility of utilizing sawdust as a sustainable material in the construction industry by incorporating it into block production. The focus is on enhancing the strength properties of sawdust blocks by adding lime, clay, and CaCO3 as stabilizers. The experimental procedure involves preparing different mixtures of sawdust, lime, clay, and CaCO3 in varying proportions. These mixtures are then compressed into block forms by tamping manually. The blocks are cured at room temperature. To evaluate the strength properties, the compressive strength of the blocks are tested according to relevant standards and their physical properties test for clay such as sieve analysis, specific gravity & lime test are carried out. Preliminary results indicate that the addition of lime, clay, and CaCO3 contributes significantly to enhancing the strength characteristics of sawdust blocks. The incorporation of these stabilizers improves the cohesion between sawdust particles, resulting in higher compressive strength. This study provides valuable insights into the potential of utilizing sawdust blocks as eco-friendly building material, offering a sustainable solution for construction while reducing environmental impact. Further research is recommended to optimize the mixture proportions and explore additional additives for enhanced performance.
Licence: creative commons attribution 4.0
Sawdust, Insulation, Compressive strength.
Paper Title: E-Waste: A Major Health And Environmental Problem In India
Author Name(s): Girindra Thakuria
Published Paper ID: - IJCRT24A5593
Register Paper ID - 262352
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A5593 and DOI :
Author Country : Indian Author, India, 783123 , Goalpara, 783123 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A5593 Published Paper PDF: download.php?file=IJCRT24A5593 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A5593.pdf
Title: E-WASTE: A MAJOR HEALTH AND ENVIRONMENTAL PROBLEM IN INDIA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 5 | Year: May 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 5
Pages: o19-o24
Year: May 2024
Downloads: 273
E-ISSN Number: 2320-2882
Electronic waste (e-waste) refers to the disposal of broken or obsolete electrical and electronic components and materials. E-waste is a popular, informal name for electronic products nearing the end of their "useful life." Computers, televisions, VCRs, stereos, CDs, copiers, mobiles, fax machines, microwaves,s and other similar appliances are common electronic products. Many of these products can be reused, reduced, and recycled. E-waste is now the fastest-growing waste stream in the world. The UN has called it a tsunami of e-waste. Currently, only a few countries have a uniform way of measuring this waste. There are concerns about the availability and supply of new materials for electronics and electrical devices in the future. Yet e-waste contains many high-value and scarce materials, such as gold, platinum, cobalt, rare earths, and high quantities of Aluminum and tin. E-waste presents a potential security threat to individuals & exporting countries and poses a critical issue in terms of solid waste management. Certain components of some electrical and electronic products contain materials that render them hazardous, depending on their condition and density. The processes of dismantling and disposing of electronic waste in developing countries like India led to a number of environmental impacts. Liquid and atmospheric releases end up in bodies of water, groundwater, soil, and air; therefore affect both domesticated and wild animals on land and sea, in crops and drinking water eaten by both animals & humans, and harm the ecosystem. Rapid innovation and lowering costs have dramatically increased access to electronic products and digital technology with many benefits. This has led to an increase in the use of electronic devices and equipment and the creation of e-waste. E-waste comes from many sources including households, businesses, and governments. E-waste is the toxic legacy of our digital age. It's high time to fix the problem.
Licence: creative commons attribution 4.0
Solid waste management, Rapid Innovation, Toxic legacy.

