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: SEAT BELT IMPLEMENTATION USING CAPL SCRIPTING
Author Name(s): Dr.N.Karthik, S.Rambabu, G.Vinay Kumar, G.Vignesh
Published Paper ID: - IJCRT24A4790
Register Paper ID - 258713
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4790 and DOI :
Author Country : Indian Author, India, 522101 , Bapatla , 522101 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4790 Published Paper PDF: download.php?file=IJCRT24A4790 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4790.pdf
Title: SEAT BELT IMPLEMENTATION USING CAPL SCRIPTING
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p627-p631
Year: April 2024
Downloads: 72
E-ISSN Number: 2320-2882
This approach not only increases time to market, but also ensures that the asset is reliable and meets safety and quality standards. Additionally, SIL simulation facilitates collaboration between different teams, accelerates process improvement, and encourages innovation in vehicle design. Rapid advances in technology require advanced techniques for designing and implementing complex systems such as measuring devices. Software-in-the-loop (SIL) simulation has become an important technology to improve the efficiency and accuracy of the development process. network integration
Licence: creative commons attribution 4.0
Seat belt monitoring, CAPL scripting, Automotive safety, Electronic control units, Communication protocols.
Paper Title: THE FUTURE OF 5G WIRELESS SYSTEMS
Author Name(s): Pappu Kumar Yadav, Mantosh Kumar
Published Paper ID: - IJCRT24A4789
Register Paper ID - 258641
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4789 and DOI : http://doi.one/10.1729/Journal.39142
Author Country : Indian Author, India, 302028 , jaipur, 302028 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4789 Published Paper PDF: download.php?file=IJCRT24A4789 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4789.pdf
Title: THE FUTURE OF 5G WIRELESS SYSTEMS
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.39142
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p617-p626
Year: April 2024
Downloads: 88
E-ISSN Number: 2320-2882
The probe paper named" The Future of 5G Wireless Systems Trends, Challenges, and operations" delves into the vital part of 5G technology in revolutionizing telecommunications. pressing its significance, 5G wireless systems promise unequaled advancements over former generations, boasting briskly data rates,ultra-low quiescence, and massive device connectivity. These attributes fuel a multitude of operations gauging colorful sectors, including healthcare, transportation, manufacturing, and smart metropolises. Examining crucial trends, the paper underscores the global instigation in 5G deployment, underlined by substantial investments in structure and diapason allocation. still, challenges impend large, encompassing diapason failure, structure costs, cybersecurity vulnerabilities, and nonsupervisory hurdles. Despite obstacles, the implicit operations of 5G are immense. From empowering IoT ecosystems to enabling independent vehicles and easing remote healthcare services, 5G unlocks a diapason of innovative possibilities. In conclusion, the paper accentuates the transformative eventuality of 5G wireless systems. By navigating challenges and employing arising trends, stakeholders can subsidize on 5G's capabilities to usher in a new period of connectivity, invention, and socioeconomic growth.
Licence: creative commons attribution 4.0
Wireless Systems,ultra-low quiescence, transportation, 5G deployment, cybersecurity , nonsupervisory , stakeholders
Paper Title: BREAST CANCER DETECTION AND PREVENTION USING (Convolutional Neural Network)
Author Name(s): Gayatri Suryawanshi, RITESH SHARMA, Nitish Kumar
Published Paper ID: - IJCRT24A4788
Register Paper ID - 258637
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4788 and DOI :
Author Country : Indian Author, India, 411014 , Pune, 411014 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4788 Published Paper PDF: download.php?file=IJCRT24A4788 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4788.pdf
Title: BREAST CANCER DETECTION AND PREVENTION USING (CONVOLUTIONAL NEURAL NETWORK)
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p610-p616
Year: April 2024
Downloads: 100
E-ISSN Number: 2320-2882
The effectiveness of the majority of traditional classification systems depends on accurate data representation, and a large portion of the work is focused on feature engineering, a challenging and drawn-out procedure that leverages previous expert domain knowledge of the data to produce valuable features. However, deep learning does not require a domain expert to construct feature extractors; instead, it can extract and arrange the discriminative information from the data. The research community and industry have taken an interest in Convolutional Neural Networks (CNNs), a specific kind of deep, feedforward network that has shown empirical success in tasks like speech recognition, signal processing, object recognition, natural language processing, and transfer learning. To guarantee the efficacy of the model, the project carries out extensive data exploration, visualization, and preprocessing procedures in this work. The suggested model architecture performs well and classifies medical images with a high degree of accuracy. The findings demonstrate the potential of deep learning methods to support medical practitioners in the diagnosis and planning of diseases.
Licence: creative commons attribution 4.0
Key words: medicine; breast cancer The World Wide Web. applications in healthcare. algorithm for machine learning. Transfer learning, CNN.
Paper Title: Rich Locale, But Risked Populace: A Stocktaking Of The Impacts Of Industrial Displacement On Tribal In Odisha
Author Name(s): Susmita Shubhadarshini Rath, Dr. Navaneeta Rath
Published Paper ID: - IJCRT24A4787
Register Paper ID - 258518
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4787 and DOI :
Author Country : Indian Author, India, 755004 , Bhubaneswar, 755004 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4787 Published Paper PDF: download.php?file=IJCRT24A4787 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4787.pdf
Title: RICH LOCALE, BUT RISKED POPULACE: A STOCKTAKING OF THE IMPACTS OF INDUSTRIAL DISPLACEMENT ON TRIBAL IN ODISHA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p599-p609
Year: April 2024
Downloads: 57
E-ISSN Number: 2320-2882
Post-independence industrialisation and aggressive industrialisation with the onset of globalisation have led to rubbed development in the tribal inhabited areas of the state. It has been a continuous observation that industrial development in Odisha has proved to be detrimental to the tribal population by uniformly affecting their human rights, quality of life, and security in myriad forms. Industries have been established in the hinterlands of the state rich in terms of physical and human resources. These hinterlands are the tribal terrains dominated by the native tribals. The state in the pursuit of capitalist ideology has overlooked the human rights of the human rights and the protocols of human rights. The present paper through a meta-synthesis of the studies undertaken on the issue tries to establish how rich lands being under industrial invasions under state patronage crate risk populace in the tribal landscape of the state. It tries to establish the trajectory of industrial development in the state, sketching the tribal situation, industry-led displacement scenario, and the way that affects tribal rights. The article concludes the carnage of tribal lives through industrial invasions and appeals to the system of governance to make a shift from the profit-centric growth approach to a people-centric distributive development and to echo the voices of the tribal, accommodate their needs and to prioritize their basic rights in any industry induced displacement planning and designing.
Licence: creative commons attribution 4.0
Industrialisation, Displacement, Tribal, Indigenous Rights, Resettlement & Rehabilitation, Policy
Paper Title: Formulation And Evaluation of Herbal Aloe-vera Kajal
Author Name(s): Mrs. Shivani Samarth, Mr. Rohan Raghunath Mane, Ms. Pradnya Annasaheb Kumbhar, Ms. Bhakti Pandurang Kale
Published Paper ID: - IJCRT24A4786
Register Paper ID - 258563
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4786 and DOI :
Author Country : Indian Author, India, 416118 , Kolhapur, 416118 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4786 Published Paper PDF: download.php?file=IJCRT24A4786 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4786.pdf
Title: FORMULATION AND EVALUATION OF HERBAL ALOE-VERA KAJAL
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p595-p598
Year: April 2024
Downloads: 76
E-ISSN Number: 2320-2882
In India, kohl has been used for cosmetic purposes for centuries it is use as cosmetic and treats the eye Problem Herbal kohl is a product used as a medicine because a cosmetic was a new prescribing method. Kajal is mainly used for eye makeup. The aim of the preparing formulation that is medicated herbal kajal is to treat eye inflammation and eliminate redness of the eye. The medicinal products Aloe-vera, Camphor, Almond oil, Coconut oil and Ghee are used to formulate the herbal kajal. the black soot (kajal powder) is prepared by using copper plate and evaluated by microbial activity
Licence: creative commons attribution 4.0
Kajal, Kohl, Aloe-vera, Camphor, Anti-inflammatory
Paper Title: Evaluation of Cyber Security Threats and its impact on Social Mental Health
Author Name(s): Dr. Nimbalkar A.B, Manisha Gadekar
Published Paper ID: - IJCRT24A4785
Register Paper ID - 258554
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4785 and DOI :
Author Country : Indian Author, India, 411028 , Hadapsar, Pune, 411028 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4785 Published Paper PDF: download.php?file=IJCRT24A4785 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4785.pdf
Title: EVALUATION OF CYBER SECURITY THREATS AND ITS IMPACT ON SOCIAL MENTAL HEALTH
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p584-p594
Year: April 2024
Downloads: 81
E-ISSN Number: 2320-2882
Crime is nothing but illegal behavior or activities and which people are punished. Cyber-crime is nothing but person who has done something illegal or criminal activity that either victim or uses a computer or laptop, a computer network or a networked device. Cybercrime is committed by cyberpunk (cyber-criminals or cyber crooks) or hackers who want to make money. Cyber-crime aims to harm or destruction computers or networks for reasons other than profit, these could be political or personal. Cyber-crime can be executed by individuals or organizations. Some cyber crooks are organized, use advanced techniques and are highly technically skilled. Others person who is beginning to learn a job or an activity and has little or no experience or skill in it.
Licence: creative commons attribution 4.0
Cyber-attack, Digital, Education, Threat, Type of Crime
Paper Title: Stock Price Prediction Using Machine Learning
Author Name(s): Vaishnavi Goswami, Jiya Manjulkar
Published Paper ID: - IJCRT24A4784
Register Paper ID - 258732
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4784 and DOI :
Author Country : Indian Author, India, 411014 , pune, 411014 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4784 Published Paper PDF: download.php?file=IJCRT24A4784 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4784.pdf
Title: STOCK PRICE PREDICTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p575-p583
Year: April 2024
Downloads: 90
E-ISSN Number: 2320-2882
Accurate stock price prediction is a challenging task due to the inherent complexity and volatility of financial markets. However, the availability of large historical datasets and advancements in machine learning algorithms have opened up new possibilities for developing predictive models.
Licence: creative commons attribution 4.0
Machine Learning, Stock Price, Prediction, American Airlines, Support Vector Machine (SVR), Artificial Neural Network (ANN), Random Forest (RF), Decision Tree (DT).
Paper Title: NOAA SATELLITE IMAGE RECEPTION USING QFH ANTENNA
Author Name(s): TEJASWI B.SONAWANE, ANKITA M.KADAM, SRUSHTI B.WALHEKAR, Prof.S.B.KAMBLE
Published Paper ID: - IJCRT24A4783
Register Paper ID - 258583
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4783 and DOI :
Author Country : Indian Author, India, 412201 , Loni Kalbhor, 412201 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4783 Published Paper PDF: download.php?file=IJCRT24A4783 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4783.pdf
Title: NOAA SATELLITE IMAGE RECEPTION USING QFH ANTENNA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p571-p574
Year: April 2024
Downloads: 86
E-ISSN Number: 2320-2882
Satellite imaging is widely used to monitor weather and interpret satellite images. Time limitation in accessing weather satellite image data is still a major problem for satellites. Automatically send images on 137.9125 MHz and 137.1000 MHz. NOAA 18 and NOAA 19 weather frequencies. In this study, data was collected with the help of a quadrangular helical antenna and RTL-SDR. Four-line H satellite imaging to obtain these two frequencies is widely used to monitor weather and interpret satellite images. Limiting immediate access to weather satellite imagery is still a major challenge for the 137.5 MHz design elix antenna. Use WXtoImg software to collect, analyze, edit and display automated transmission images. Although the automatic transmission image of NOAA 18 received a frequency shift of 0.0685% and NOAA 19 had a frequency shift of 0.0686%, the results are clear enough and explainable. Use WXtoImg software to collect, analyze, edit and display automated transmission images. The results show that although there is a difference of 0.0685% and a frequency shift of 0.0686% in the automatic transmission images received by NOAA 18 and NOAA 19, the received weather satellite images are clear and descriptive enough.
Licence: creative commons attribution 4.0
QFH Antenna,NOAA,Satelite Pass,Doppler shift,SDR,WXTOIMG,Demodulation,Orbit Prediction,Polarization
Paper Title: Socio-Economic Conditions of Migrants - A Study in Drought Prone Area
Author Name(s): Dr. K. Somasekhar
Published Paper ID: - IJCRT24A4782
Register Paper ID - 258572
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4782 and DOI :
Author Country : Indian Author, India, 522508 , Guntur, 522508 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4782 Published Paper PDF: download.php?file=IJCRT24A4782 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4782.pdf
Title: SOCIO-ECONOMIC CONDITIONS OF MIGRANTS - A STUDY IN DROUGHT PRONE AREA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p559-p570
Year: April 2024
Downloads: 75
E-ISSN Number: 2320-2882
India is predominantly an agricultural economy. Although agriculture accounts for more than 65% of employment, it has been growing only at 3.3% compared to industry's 7.5% per year. Drought conditions have lead to crop failure, mounting debts chronic unemployment ultimately compelled to distress migration Anantapur district in Andhra Pradesh is one such district where drought conditions are prevailing consistently over many years. The present paper analyses the adverse impact of drought conditions leading to migration and facing problems in search of employment in urban areas and its effect on their Socio-Economic conditions.
Licence: creative commons attribution 4.0
Drought Conditions, Chronic unemployment, Debts, Migration, Socio-Economic conditions
Paper Title: Unearthing India's Young Genius: A Data-Driven Exploration
Author Name(s): Dr A Kanimozhi, Nithyasree V, Vidhyalakshmi R
Published Paper ID: - IJCRT24A4781
Register Paper ID - 258373
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4781 and DOI : http://doi.one/10.1729/Journal.39169
Author Country : Indian Author, India, 600064 , Chennai, 600064 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4781 Published Paper PDF: download.php?file=IJCRT24A4781 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4781.pdf
Title: UNEARTHING INDIA'S YOUNG GENIUS: A DATA-DRIVEN EXPLORATION
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.39169
Pubished in Volume: 12 | Issue: 4 | Year: April 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 4
Pages: p553-p558
Year: April 2024
Downloads: 75
E-ISSN Number: 2320-2882
Global education is currently in high demand worldwide. Today, access to education is no longer limited by national lines but has spread globally. The exodus of highly skilled individuals, termed as "brain drain,"[1] has several negative effects on developing countries. If students return to their home country after receiving expertise in aspects such as technology, healthcare, engineering products, and strategic planning, there is a scope for technical and economic progress in the parent country that will be on par with developed nations. We develop a predictive model to forecast future brain drain trends based on current factors such as Economic Growth and Job Opportunities, Salary and Compensation Packages, Global Mobility and Connectivity, and Government Policies and Initiatives. A regression model, such as linear regression, or response surface model will help us forecast the number of immigrants and assess the influence of various factors. This analysis could help in anticipating potential challenges. Future iterations can offer more customization that might support social policymakers in their decision-making about brain drain.
Licence: creative commons attribution 4.0
Brain drain, developing countries, migration, regression analysis.