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)
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Paper Title: MALWARE IMAGE DETECTION BY USING CONVOLUTIONAL NEURAL NETWORK
Author Name(s): Ms. SAMMINGI NIRMALA
Published Paper ID: - IJCRT2309462
Register Paper ID - 244278
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309462 and DOI :
Author Country : Indian Author, India, 530003 , Visakhapatnam, 530003 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309462 Published Paper PDF: download.php?file=IJCRT2309462 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309462.pdf
Title: MALWARE IMAGE DETECTION BY USING CONVOLUTIONAL NEURAL NETWORK
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d839-d845
Year: September 2023
Downloads: 374
E-ISSN Number: 2320-2882
Malware, an abbreviation for "malicious software," is any intrusive programme created by cybercriminals (often referred to as "hackers") to steal data and harm or destroy computers and computer systems. Malware types that are frequently encountered include worms, Trojan horses, spyware, adware, and ransomware. Mass volumes of data have been exfiltrated by recent malware attacks. The suggested method uses the strength of deep learning and computer vision techniques to detect malware from photographs of computer screens or device interfaces, taking advantage of the Internet's rapid expansion. For training and assessment, a dataset of harmful and benign photos is gathered and preprocessed. The CNN architecture is made to automatically recognise and extract useful information from these images, enabling it to distinguish between representations of malware and non-malware.The training procedure entails adjusting the In order to improve the generalisation of the model, CNN was applied to the picture dataset, hyperparameters were optimised, and data augmentation methods were used. Accuracy, precision, recall, and F1-score are some of the measures used to evaluate the model's performance in terms of malware identification.The experimental findings show how well the suggested CNN-based technique performs in locating image-based malware. This approach displays improved accuracy and robustness in detecting previously unknown malware variants when compared to existing signature-based methods. A vital addition to the cybersecurity toolkit, it can also analyse the visual components of malware, adding an additional line of defence against ever-evolving threats.In summary, this study provides a potential method for malware detection that makes use of convolutional neural networks' abilities to process image-based data. By fusing computer vision and deep learning Overall, this strategy helps to improve the security posture of computer systems and networks while providing improved defence against the constantly changing world of malicious software.
Licence: creative commons attribution 4.0
Malware, CNN,spyware,adware,ransomware
Paper Title: સાંપ્રત રાજનીતિમાં મહાભારતની ઉપાદેયતા.
Author Name(s): Shukla vaibhav narendrabhai
Published Paper ID: - IJCRT2309461
Register Paper ID - 244276
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309461 and DOI :
Author Country : Indian Author, India, 395004 , surat, 395004 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309461 Published Paper PDF: download.php?file=IJCRT2309461 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309461.pdf
Title: સાંપ્રત રાજનીતિમાં મહાભારતની ઉપાદેયતા.
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d836-d838
Year: September 2023
Downloads: 344
E-ISSN Number: 2320-2882
મહાભારત નામનો ગ્રંથ અતિ પ્રાચીન છે તેની અનેક પાશ્ચાત્યવિદ્વાનો દ્વારા જુદા જુદા આધાર ઉપર કાળ નિર્ણય કરવામાં આવેલો છે તે ભારતીય સંસ્કૃતિની સભ્યતા સામાજિકતા અને રાજનૈતિકતાથી જોડાયેલો સંપૂર્ણ ગ્રંથ કહી શકાય.મહાભારતમાં રહેલી રાજનૈતિક કુશળતા અને અધર્મ પર ધર્મની જીત વગેરે જાણવા માટે મહાભારત ઉપયોગી ગ્રંથ છે જેમાં જીવનના દરેક અસમંજને શોધી શકાય છે મહાભારતમાં રાજનીતિ વિશે ભગવાન શ્રીકૃષ્ણથી માંડીને વિદુરનીતિ, ભીષ્મનીતિ, નારદનીતિ માં રાજનીતિની વાતો જોવા મળે છે. આજે અહીં અહીં મહાભારતમાં સભા પર્વના પાંચમા અધ્યાયમાં નારદ ઋષિ દ્વારા યુધિષ્ઠિરને રાજનૈતિક પ્રશ્નો પૂછીને રાજનીતિ વિશે સમજાવે છે તેની સાંપ્રત સમય સાથે સુયોગ્યતા બાંધવાનો પ્રયત્ન કર્યો છે.
Licence: creative commons attribution 4.0
સાંપ્રત રાજનીતિમાં મહાભારતની ઉપાદેયતા.
Paper Title: DIVERSE UTILITY OF CLAY MINERAL UNEARTHED FROM BIKANER DISTRICT, RAJASTHAN
Author Name(s): Nosheen, Vijay Kumar Matoria, Dr. Shishir Sharma
Published Paper ID: - IJCRT2309460
Register Paper ID - 244140
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309460 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309460 Published Paper PDF: download.php?file=IJCRT2309460 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309460.pdf
Title: DIVERSE UTILITY OF CLAY MINERAL UNEARTHED FROM BIKANER DISTRICT, RAJASTHAN
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d832-d835
Year: September 2023
Downloads: 487
E-ISSN Number: 2320-2882
The Bikaner District in Rajasthan, India, boasts abundant clay deposits that have diverse applications in multiple industries. The clay sourced from this region is highly esteemed within the construction sector due to its exceptional qualities. Its unique characteristics make it an ideal raw material for manufacturing items like bricks, tiles, and various construction materials. Thanks to its plasticity and cohesion, it is easy to mold and shape. Its natural composition ensures superb thermal insulation and durability, making it a preferred choice in building and structural projects. Bikaner's clay also has a rich history of use in pottery and ceramics, given its fine texture and malleability, making it well-suited for crafting intricate ceramic products. Moreover, this clay plays a crucial role in agriculture by enhancing soil quality through improved moisture retention and enhanced aeration. When mixed with agricultural soils, it provides a stable foundation for plant roots and aids in nutrient retention, consequently boosting crop yields. Additionally, it is utilized in creating seed balls, an eco-friendly approach to reforesting and revitalizing arid regions. In regions grappling with water scarcity, Bikaner's clay serves as a vital component in constructing traditional rainwater harvesting structures, including check dams, percolation tanks, and storage ponds. Its impermeable nature aids in retaining rainwater, replenishing groundwater aquifers, and ensuring a sustainable water supply for both agricultural and domestic needs. Furthermore, clay finds environmental applications, notably in the production of eco-friendly products like clay-based water filters, which effectively purify drinking water by removing impurities and pathogens.
Licence: creative commons attribution 4.0
Construction Industry, Agriculture, Environmental Sustainability, Pottery and Ceramics, Clay
Paper Title: SIMULTANEOUS ESTIMATION OF THE NIVOLUMAB AND RELATLIMAB IN BULK AND PHARMACEUTICAL DOSAGE FORM BY USING RP-HPLC.
Author Name(s): K.Sravya, V. Hanumanth, Dr. P. Ravi Kumar, Dr. Y. Padmavathi, Dr. N. Raghavendra Babu
Published Paper ID: - IJCRT2309459
Register Paper ID - 244079
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309459 and DOI :
Author Country : Indian Author, India, 500018 , Hyderabad, 500018 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309459 Published Paper PDF: download.php?file=IJCRT2309459 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309459.pdf
Title: SIMULTANEOUS ESTIMATION OF THE NIVOLUMAB AND RELATLIMAB IN BULK AND PHARMACEUTICAL DOSAGE FORM BY USING RP-HPLC.
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d822-d831
Year: September 2023
Downloads: 431
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Nivolumab, Relatlimab, RP-HPLC.
Paper Title: THE PROBLEMS OF PRONUNCIATION IN ENGLISH LANGUAGE FACED BY IN DIANS
Author Name(s): NEETU SHARMA
Published Paper ID: - IJCRT2309458
Register Paper ID - 244219
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309458 and DOI :
Author Country : Indian Author, India, 201002 , GHaziabad, 201002 , | Research Area: Languages Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309458 Published Paper PDF: download.php?file=IJCRT2309458 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309458.pdf
Title: THE PROBLEMS OF PRONUNCIATION IN ENGLISH LANGUAGE FACED BY IN DIANS
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Languages
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d815-d821
Year: September 2023
Downloads: 477
E-ISSN Number: 2320-2882
English language has become an important medium for executing all business and official formalities with respect to documentation and finalizing all activities. English language performs an important role as an official language. In the present age of industrialization, English is the language of business. In Countries like India, a person gets affected because of his mother tongue and faces problems in pronouncing right word in English. If you learn English language in your early childhood, our mother tongue doesn't influence pronunciation. Indians are also judged on the basis of their fluency in English language and right pronunciation. Wrong pronunciation of English words create lots of confusion and misunderstanding because there are so many words in English which have slight difference in sounds but have huge difference in meaning. This can become a barrier in going abroad as well as settling down there. Poor pronunciation not only creates negative impression but it also creates confusion and misunderstanding. There are total 44 sounds in English. Alone single letter 'e' has three different sounds like in 'bet', 'fate', 'and elephant 'and 'eager'. The ee sound is used with the middle portion of the mouth, the eh sound is used with the middle portion of the mouth and the er sound is used with the rear portion of the mouth. Language is created by human beings and whatever they require; they expand and pronounce the word in that way. English spelling does not indicate how a word should be pronounced because there are many letters in English words which remain silent. There are different and multiple sounds of the letters of English Alphabet and sounds vary in terms of position of the mouth and intensity (low or high). Non-native speakers of English find difficulty in practicing the accent of the native speakers of English. Of course, this problem is vice versa. The first section of the paper emphasizes the importance of pronunciation in the life of Indians. The second section analyses various reasons for poor pronunciation of non-native speakers and how to overcome the problem. Key Words: official language - documentation- pronunciation -industrialization - lingua-franca - accent, influence
Licence: creative commons attribution 4.0
official language - documentation- pronunciation -industrialization - lingua-franca - accent, influence
Paper Title: Leather Processing Technologies: A Review
Author Name(s): Sadhana Chaurasia, Ravindra Singh, Digdarshika Rani
Published Paper ID: - IJCRT2309457
Register Paper ID - 244258
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309457 and DOI :
Author Country : Indian Author, India, 485334 , Chitrakoot, Satna, 485334 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309457 Published Paper PDF: download.php?file=IJCRT2309457 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309457.pdf
Title: LEATHER PROCESSING TECHNOLOGIES: A REVIEW
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d805-d814
Year: September 2023
Downloads: 421
E-ISSN Number: 2320-2882
Tanning industry is one of the oldest industries in India. It involves conversion of animal hide or skin into an end product useful for making leather goods. There are several processes involved in leather making, one of the process is tanning. Tanning of the hide is done either by vegetable tanning or by chrome tanning process. In most developing countries tanning operations is a family business, carried out in small to medium scale semi-mechanized units, very frequently grouped tightly in clusters which used to be outside residential areas. The disposal of these chromium effluent into water bodies is known to cause various ill effects. To replace that, vegetable tanning can be practiced, where the method is easy as well as eco-friendly.
Licence: creative commons attribution 4.0
Tanning, chromium, vegetable, tannins, eco-friendly.
Paper Title: A New Activation Function For The Neural Network Used To Predict Diabetes
Author Name(s): Raahul Krishna D
Published Paper ID: - IJCRT2309456
Register Paper ID - 244005
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309456 and DOI :
Author Country : Indian Author, India, 605001 , PONDYCHERRY, 605001 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309456 Published Paper PDF: download.php?file=IJCRT2309456 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309456.pdf
Title: A NEW ACTIVATION FUNCTION FOR THE NEURAL NETWORK USED TO PREDICT DIABETES
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d797-d804
Year: September 2023
Downloads: 425
E-ISSN Number: 2320-2882
A neural network is a collection of algorithms that aims to identify underlying links in a set of data using a method that imitates how the human brain functions. Numerous people suffer from diabetes mellitus, one of the most serious diseases. Age, obesity, inactivity, genetic diabetes, a poor diet, high blood pressure, and other factors can all contribute to diabetes mellitus. The healthcare sector greatly benefits from big data analytics. Numerous ML algorithms are employed to forecast the occurrence of diabetes. One machine learning (ML) model used to foretell a patient's likelihood of having diabetes is the neural network. Neural networks are made up of a large number of artificial neurons, each of which has an activation function. An artificial neuron's activation function is the part of the neuron that produces an output in response to inputs. Activation functions are crucial because they aid in understanding and learning about complex, non-linear mappings between inputs and outputs. The most popular activation functions and a special activation function with higher accuracy are discussed in this study for the neural network that predicts diabetes.
Licence: creative commons attribution 4.0
Neural Network,Activation function,Diabetes
Paper Title: Digital Rape in India: A Doctrinal and Empirical Studies (with special reference to Jhansi district of Uttar Pradesh)
Author Name(s): Jyotsana Singh, Dr. Prashant Mishra
Published Paper ID: - IJCRT2309455
Register Paper ID - 244230
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309455 and DOI : http://doi.one/10.1729/Journal.42199
Author Country : Indian Author, India, 284128 , Agra, 284128 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309455 Published Paper PDF: download.php?file=IJCRT2309455 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309455.pdf
Title: DIGITAL RAPE IN INDIA: A DOCTRINAL AND EMPIRICAL STUDIES (WITH SPECIAL REFERENCE TO JHANSI DISTRICT OF UTTAR PRADESH)
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.42199
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d788-d796
Year: September 2023
Downloads: 571
E-ISSN Number: 2320-2882
In recent years, India has witnessed and alarming rise in heinous offences including target of persons under 18 years of age, adolescent girls and elderly women in relation to digital rape. Despite that existence of stringent laws, these atrocious and heinous offences continue unabated. This raises questions on the meaning of digital rape as to- o Whether it refers to sexual violence through electronic means or whether it is equivalently referred to as cybercrime; or o It includes blackmailing victims for unethical sexual acts and using mobile Involves sexual harassment via phone/multimedia content etc.? This word itself is subject to interpretation. Some intellectuals link it to online sexual exploitation of women through electronic devices, while others link it to current scenarios that raise intense discussion. The objective of this study is to throw light on the concept of digital rape in the modern era and its relationship with sexual exploitation through online resources, cybercrime and electronic gadgets. By examining the diverse perspectives of scholars and intellectuals, this study will explore the various interpretations of the term and highlight the complexities surrounding its definition. It is necessary to understand that the situation is quite different from popular beliefs, as digital rape may not necessarily be linked to online resources or Cybercrime. The objective of this research is to challenge existing misconceptions in the context of India's evolving digital landscape and provide a comprehensive understanding of digital rape in the country. By analysing the specifics of these cases, this study seeks to contribute to a comprehensive doctrinal study on enhancing the legal framework to combat digital rape and protect vulnerable persons.
Licence: creative commons attribution 4.0
Digital Rape, Cybercrime, Sexual Violence, Online Abuse, India
Paper Title: kannada kavyadalli buddana ashtanga margada prbhava
Author Name(s): ARUNKUMAR A Y
Published Paper ID: - IJCRT2309454
Register Paper ID - 244237
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309454 and DOI :
Author Country : Indian Author, India, 560049 , Bangalore East, 560049 , | Research Area: Languages Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309454 Published Paper PDF: download.php?file=IJCRT2309454 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309454.pdf
Title: KANNADA KAVYADALLI BUDDANA ASHTANGA MARGADA PRBHAVA
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Languages
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d783-d787
Year: September 2023
Downloads: 395
E-ISSN Number: 2320-2882
buddana ashtangamargada prabhava kannada kavya budda
Licence: creative commons attribution 4.0
Paper Title: Potato Leaf Diseases Detection Using Deep Neural Network
Author Name(s): S BALASARASWATHI
Published Paper ID: - IJCRT2309453
Register Paper ID - 244198
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2309453 and DOI :
Author Country : Indian Author, India, 613006 , THANJAVUR, 613006 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2309453 Published Paper PDF: download.php?file=IJCRT2309453 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2309453.pdf
Title: POTATO LEAF DISEASES DETECTION USING DEEP NEURAL NETWORK
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 9 | Year: September 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 9
Pages: d776-d782
Year: September 2023
Downloads: 408
E-ISSN Number: 2320-2882
Potato is the main important food crop in the world. Potato is a temperate crop developed under subtropical conditions in India. The potato is a vegetable crop which has always been the 'poor man's friend'. The potato crop is being cultivated in the country for the last more than 300 years. For vegetable purposes, it has become one of the main popular crops in this country. Potatoes are an economical food; they supply a source of low-cost energy to the human diet. Potato popularly called as 'The king of vegetables'.Every year the production of this crop decreases due to many reasons, one of the most important reason is leaf blight. This leaf blight is classified into early blight and late blight .If these diseases are detected at an early stage, the fertilizer can be used at the proper time and the productivity can be improved. This paper aim is to detect and classify the potato leaf diseases and the healthy leaves. The proposed model used CNN algorithm and it has achieved more than 97% accuracy.
Licence: creative commons attribution 4.0
Potato, CNN, Early blight, Late blight, Healthy leaves

