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: SECURE ELECTRONIC HEALTHCARE (EHC) SYSTEM USING BLOCKCHAIN TECHNIQUE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020012
Register Paper ID - 211142
Title: SECURE ELECTRONIC HEALTHCARE (EHC) SYSTEM USING BLOCKCHAIN TECHNIQUE
Author Name(s): Ms. Nilima V. Pardakhe, Dr. V. M. Deshmukh
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 67-77
Year: August 2021
Downloads: 1074
Licence: creative commons attribution 4.0
Blockchain, Healthcare System, EHR, Security
Paper Title: A CONVERSION CONCEPT FOR A LEGACY SOFTWARE MODEL TOWARDS AUTOSAR COMPLIANCE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020011
Register Paper ID - 211143
Title: A CONVERSION CONCEPT FOR A LEGACY SOFTWARE MODEL TOWARDS AUTOSAR COMPLIANCE
Author Name(s): Vimal Sivashanmugam, Tobias Scheipel, Marcel Baunach, Bhargav Adabala
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 62-66
Year: August 2021
Downloads: 1146
Automotive Open System Architecture (AUTOSAR) is a commonly established standard for automotive software development. Over the last decade, the usage of AUTOSAR methodology for Electronic Control Unit (ECU) software development has gained popularity among the industries. While AUTOSAR has put forth an efficient methodology for the stepwise development of the software from the system design phase until the ECU integration phase, the guidelines for the conversion of a legacy software model into an AUTOSAR compliant software are not covered by the standard. This work investigates the direct conversion of legacy software into AUTOSAR compliant software. A suitable AUTOSAR conversion methodology has been identified and applied to the non-AUTOSAR legacy software by examining the deviations from the standard along the V-model development workflow. After the software has been converted to include the missing AUTOSAR features, it has been analyzed whether a complete AUTOSAR conformance is achievable.
Licence: creative commons attribution 4.0
AUTOSAR, Electronic Control Unit, V-model.
Paper Title: SENTIMENT ANALYSIS OF TWITTER DATA USING MACHINE LEARNING ALGORITHM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020010
Register Paper ID - 211145
Title: SENTIMENT ANALYSIS OF TWITTER DATA USING MACHINE LEARNING ALGORITHM
Author Name(s): Kunnal Jaluthria, Sumedha Seniaray
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 57-61
Year: August 2021
Downloads: 1073
Licence: creative commons attribution 4.0
Sentimental analysis, Twitter, Valence Aware Dictionary and Sentiment Reasoner, Machine Learning, Naive Bayes, K-Nearest Neighbors, Logistic Regression, Support Vector Machine.
Paper Title: PROSTHETIC ARM WITH MICROCONTROLLER
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020009
Register Paper ID - 211146
Title: PROSTHETIC ARM WITH MICROCONTROLLER
Author Name(s): Manan Kumar Gupta, Keyuri Gupta, Ishika Khanna, Ishika Khanna
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 52-56
Year: August 2021
Downloads: 1134
A prosthetic hand can be designed to replicate the normal functions of the human hand by obtaining electro potential muscle signals associated with finger movements. A low-cost myoelectric robotic arm is described in this paper. The goal of the developed device is to be used as an electromyogram (EMG) signal-controlled low-cost prosthesis. As the key controller, the Arduino Development Board is used. Theoretical findings have shown that without dropping the item the automated hand should be able to perform gripping and clasping operations.
Licence: creative commons attribution 4.0
A prosthetic hand can be designed to replicate the normal functions of the human hand by obtaining electro potential muscle signals associated with finger movements. A low-cost myoelectric robotic arm is described in this paper. The goal of the developed device is to be used as an electromyogram (EMG) signal-controlled low-cost prosthesis. As the key controller, the Arduino Development Board is used. Theoretical findings have shown that without dropping the item the automated hand should be able
Paper Title: RADAR VISION- WEATHER FORECASTING USING CNN-LSTM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020008
Register Paper ID - 211148
Title: RADAR VISION- WEATHER FORECASTING USING CNN-LSTM
Author Name(s): Sarvesh Landge, Sunil M. Wanjari, Brijesh Kanaujiya, Aditya Taksande, Rachit Khandelwal, Shienell Amair
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 47-51
Year: August 2021
Downloads: 1123
Due to the unpredictable swings in climatic and atmospheric conditions, weather forecasting is becoming a more important topic of study. Scientists have been developing novel strategies for training models to achieve accuracy over nonlinear statistical datasets for the past few decades in order to prevent future environmental damage and world disaster. Predicting the climatic condition in advance is easy for farmers to know the favorable climatic conditions for the crops to be grown, which leads to higher yields. Agriculture, which plays a crucial role in the Indian economy, predicts the climatic condition in advance is easy for farmers to know the favorable climatic conditions for the crops to be grown, which leads to higher yields. Artificial intelligence and machine learning have added a new dimension to the area of weather forecasting, requiring only a few perplexing mathematical equations. This study examines a variety of traditional strategies, ranging from classical weather forecasting to modern methodology such as data mining and artificial intelligence. This research also shows a proposed model that predicts with high accuracy and can be used in various time series forecasting applications.
Licence: creative commons attribution 4.0
Weather forecasting, ConvLSTM, AI, ANN, Weather Elements, Accuracy.
Paper Title: IDS USING DATA-MINING TECHNIQUES & NONLINEAR FUZZY ROBUST PRINCIPAL COMPONENT ANALYSIS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020007
Register Paper ID - 211149
Title: IDS USING DATA-MINING TECHNIQUES & NONLINEAR FUZZY ROBUST PRINCIPAL COMPONENT ANALYSIS
Author Name(s): Ms. R. K. Borikar, Dr.Mrs.S.S.Sherekar, Dr.V.M.Thakare
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 39-46
Year: August 2021
Downloads: 1054
Licence: creative commons attribution 4.0
Intrusion detection, Hybrid Algorithm, PCA, Feature Selection SMO, K-Means, Clustering.
Paper Title: FAKE NEWS DETECTION USING VARIOUS MACHINE LEARNING TECHNIQUES
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020006
Register Paper ID - 211150
Title: FAKE NEWS DETECTION USING VARIOUS MACHINE LEARNING TECHNIQUES
Author Name(s): Akanksha Akulwar, Anish Khobragade
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 35-38
Year: August 2021
Downloads: 1131
Online platforms are being used for outspreading malicious talk, which creates an impact on the minds of millions. Many distinct approaches have been brought forward to detect this fake news, but very few have been carried out in the actual world. We address this problem of estimating the rumor authentication in a real-world in less time with significantly high accuracy. We design and implement an approach addressing the above issue. We accessed whether the news is fake or not using various Machine learning techniques. We evaluate this algorithm on a set of data set scrapped from random online sites. The result shows that the performance of this improved algorithm is better than the original classification method. And finally, we consider various sizes of data to view and compare the accuracy.
Licence: creative commons attribution 4.0
Support Vector Machine, Decision Tree, Fake Content, Naive Bayes, Machine Learning Models
Paper Title: SMART-SHOP CART
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020005
Register Paper ID - 211151
Title: SMART-SHOP CART
Author Name(s): Tanisha Mittal, Vidhi Saxena, Sparsh Gupta, Varun Goel, (Mrs.) Pallavie Tyagi, (Mr.) Mudit Saxena
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 27-34
Year: August 2021
Downloads: 1089
Licence: creative commons attribution 4.0
Smart Shopping Cart, RFID, ZigBee, Bluetooth, MCU, GPS, LCD.
Paper Title: A FRAMEWORK OF SELECTIVE CLUSTERING ENSEMBLE BASED ON K-NEAREST NEIGHBOUR APPROACH
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020004
Register Paper ID - 211152
Title: A FRAMEWORK OF SELECTIVE CLUSTERING ENSEMBLE BASED ON K-NEAREST NEIGHBOUR APPROACH
Author Name(s): Miss.R. J. Wadnare, Dr. S. S. Sherekar, Dr.V. M. Thakare
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 19-26
Year: August 2021
Downloads: 1079
Licence: creative commons attribution 4.0
nearest neighbour, Density peak clustering,ADB-DBSCAN, k-NN.
Paper Title: A POPULARITY PREDICTION MODEL FOR DETECTION OF THE TRUSTABLE CONTENT OVER SOCIAL MEDIA NETWORK BY USING FEATURE SELECTION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020003
Register Paper ID - 211154
Title: A POPULARITY PREDICTION MODEL FOR DETECTION OF THE TRUSTABLE CONTENT OVER SOCIAL MEDIA NETWORK BY USING FEATURE SELECTION
Author Name(s): Mr. S. N. Ugale, Dr.Mrs.S.S.Sherekar, Dr.V.M.Thakare
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 12-18
Year: August 2021
Downloads: 1092
Licence: creative commons attribution 4.0
Competitive Vector Auto Regression (CVAR), Term Frequency Inverse Documents Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA) theme modelling, User Trust, Fake Information, Online Social Network (OSN), Multilayer Perceptron (MLP).
Paper Title: IMAGE SEGMENTATION AND LOCALIZATION IN RETINAL FUNDUS IMAGES
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020002
Register Paper ID - 211155
Title: IMAGE SEGMENTATION AND LOCALIZATION IN RETINAL FUNDUS IMAGES
Author Name(s): Soham Deshmukh
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 8-11
Year: August 2021
Downloads: 1038
Licence: creative commons attribution 4.0
Deep Learning, Object Detection, Neural Network, Segmentation.
Paper Title: SUPER BUGGY VULNERABLE WEBSITE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRTE020001
Register Paper ID - 211156
Title: SUPER BUGGY VULNERABLE WEBSITE
Author Name(s): Rubal Gahlawat, Sweety, Shilpa Mahajan, Mehak Khurana
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: 1-7
Year: August 2021
Downloads: 1041
Licence: creative commons attribution 4.0
Cyber Security, SQL Query, Attacker, Prevention, Flag, HTML Entities, Vulnerability.
Paper Title: MARKET RESEARCH AND ANALYSIS OF BAKERY INDUSTRY IN HYDERABAD
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT21X0006
Register Paper ID - 210939
Title: MARKET RESEARCH AND ANALYSIS OF BAKERY INDUSTRY IN HYDERABAD
Author Name(s): Ms. A. Santosh Kumari, Prabin Kumar Jha
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: a535-a682
Year: August 2021
Downloads: 1534
This project, on account of all the efforts put in, has helped me sharpen my research skills and put my theoretical knowledge to work. After spending a year of MBA program studying different research and marketing techniques, it has been truly a winning experience getting into the field. The project deeply relied on understanding the Hyderabad bakery market and customers, which led me on a course to getting hands on all kinds of information. Further putting my analytics skill acquired during the time, I was able to visualize a statistical view of the culinary customers and market. The project helped me in more than one way. First, it helped me understand the criticality of doing an in-depth market research before opening any new venture and gave me an elevated exposure to the importance of knowing your customer, which is the only way to ensure the success of any business. Through the customer survey, I understood how different customers can be from one another and how their needs vary drastically, leading me to a conclusion that if not of all, businesses should try to tender to the needs of most of their customers. I am hoping to put this information collected to real use and open my own bakery in Hyderabad someday.
Licence: creative commons attribution 4.0
Market Research and Analysis of Bakery Industry in Hyderabad
Paper Title: GIS BASED TRAFFIC PARKING MANAGEMENT PROTOTYPE: A CASE STUDY OF VARANASI
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT21X0005
Register Paper ID - 211004
Title: GIS BASED TRAFFIC PARKING MANAGEMENT PROTOTYPE: A CASE STUDY OF VARANASI
Author Name(s): Shinde Mahesh K, Dr. Mohammad Zuhair
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: a492-a534
Year: August 2021
Downloads: 1451
Abstract Considering the increased number of vehicles every day, parking supplies should meet parking demands on transportation infrastructure. Irregular construction and excessive population growth in urban areas required re-planning and site selection of parking places. In this study, an analysis was developed to determine location-based parking demand by using Geographic Information System (GIS) techniques. After calculating parking demand and supply balance, the location-allocation techniques of network analysis were implemented to determine the best locations of parking, depending on parking demand. These processing tools were tested for an urban area. As a result, an innovative data processing method was developed to determine the best locations of car parking. Over the years, Geographic Information Systems (GIS) technology has been implemented for a variety of purposes within the transportation industry. With this have come many new uses, benefits, and challenges. This project is able to show the capacity of GIS to support transportation analysis and planning Keywords-component; parking, transportation planning geographic information systems, network analysis.
Licence: creative commons attribution 4.0
parking, transportation planning geographic information systems, network analysis.
Paper Title: EVALUATION OF ANTIULCER ACTIVITY OF MENTHA ARVENSIS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT21X0004
Register Paper ID - 210830
Title: EVALUATION OF ANTIULCER ACTIVITY OF MENTHA ARVENSIS
Author Name(s): Mohammad Saleem, SHOBHA YADAV, ROHIT KUMAR
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: a465-a491
Year: August 2021
Downloads: 1413
Extract against anti-inflamatory medicine instigated gastric alcer. Mentha Arvensis extract was prepared by using continuous hor extraction (soxhlet) with ethanol.The extract were subjected to preliminary qualitative phytochemical investigation.The plant extract Mentha arvensis drug delivers a diminishing in the ulcer number in the aspirin instigated alcer model in rat.The remedial proportion in the aspirin initiated gastric model was 42%, 54%,72.9%, and 84.12% utilizing ethanolic extricate (100, 250,500 mg/kg), this shows that the plant has antiulcerogenic, antisecretory, and cytoprotective activities. The present data obtained from ethanolic extract of menthe arvensis
Licence: creative commons attribution 4.0
Antiulcerogenic, * Antisecretory, * Cytoprotective activities.
Paper Title: ASSESSMENT OF CONTEXTUAL BARRIERS AFFECTING ART (ANTIRETROVIRAL THERAPY) ENROLMENT AMONG PLHA (PEOPLE LIVING WITH HIV AIDS ) IN A SELECTED DISTRICT
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT21X0003
Register Paper ID - 209829
Title: ASSESSMENT OF CONTEXTUAL BARRIERS AFFECTING ART (ANTIRETROVIRAL THERAPY) ENROLMENT AMONG PLHA (PEOPLE LIVING WITH HIV AIDS ) IN A SELECTED DISTRICT
Author Name(s): AIDA THOMAS
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: a385-a464
Year: August 2021
Downloads: 1544
Licence: creative commons attribution 4.0
Assessment, Contextual, Barriers, ART, Enrolment, PLHA
Paper Title: A Comprehensive Overview of the Choice Based Credit System (CBCS) in Higher Education
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108525
Register Paper ID - 291811
Title: A COMPREHENSIVE OVERVIEW OF THE CHOICE BASED CREDIT SYSTEM (CBCS) IN HIGHER EDUCATION
Author Name(s): Dr. Byanjana Chakravarty
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e621-e625
Year: August 2021
Downloads: 93
Over the past few decades, higher education has undergone significant academic and administrative reforms. A key change has been the shift from the conventional annual system to a semester system, and subsequently, to a Choice Based Credit System (CBCS), as recommended by the Gnanam Committee. The University Grants Commission mandated the adoption of CBCS in all universities and higher education institutions starting from 2015. This reform aims to align Indian higher education with global standards and meet the demands of the 21st-century knowledge landscape. However, empirical studies have highlighted issues such as a skill gap, particularly in communication skills, rendering many graduates unemployable. Additionally, outdated syllabi, limited course flexibility, lack of student mobility, and inadequate evaluation systems have been concerns. CBCS was introduced to address these issues, focusing on learner-centric methods, interdisciplinary approaches, skill-based courses, and flexibility. This paper examines the challenges and issues faced in the practical implementation of CBCS.
Licence: creative commons attribution 4.0
learner-centric approach, interdisciplinary approach, Choice Based Credit System.
Paper Title: Comparative Study of Microbial and Polymer-Based Self-Healing Systems in Concrete for Infrastructure Durability
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108524
Register Paper ID - 290925
Title: COMPARATIVE STUDY OF MICROBIAL AND POLYMER-BASED SELF-HEALING SYSTEMS IN CONCRETE FOR INFRASTRUCTURE DURABILITY
Author Name(s): Mr. Chetankumar Bhailalbhai Patel
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e613-e620
Year: August 2021
Downloads: 112
Concrete, the most widely used construction material in the world, is highly susceptible to microcracking due to the combined effects of environmental exposure and mechanical stress. Water, chlorides, and sulfates can penetrate through these microcracks, accelerating deterioration. Conventional repair methods are often labour-intensive, time-consuming, and costly. In contrast, self-healing concrete offers the ability to autonomously seal cracks and restore structural functionality. Microbial-based systems have gained significant attention due to their unique healing mechanism and performance characteristics. These systems rely on microbial-induced calcite precipitation (MICP), typically triggered by specific strains of urealytic bacteria. Polymer-based self-healing systems, particularly those utilizing superabsorbent polymers (SAPs), depend on physical swelling and water retention to block cracks and support autogenous healing. This comparative study evaluates both self-healing strategies with a focus on their crack-sealing capability, mechanical strength recovery, durability enhancement, and practical feasibility. The analysis is grounded in an extensive review of peer-reviewed literature. Microbial-based systems offer promising eco-friendly and sustainable healing, particularly in moist environments, but face challenges related to bacterial survivability and uniform distribution. On the other hand, SAP-based systems, though associated with higher costs and potential long-term chemical interactions, provide rapid and repeatable healing with better integration into the concrete matrix. The study suggests that hybrid and next-generation integrated systems represent a forward-looking approach to improving infrastructure resilience by tailoring self-healing strategies to specific structural and environmental conditions.
Licence: creative commons attribution 4.0
Self-healing concrete; microbial-induced calcite precipitation; superabsorbent polymers; infrastructure durability; crack healing mechanisms; sustainable materials; strength recovery; durability performance; autonomous repair systems; polymer-based healing; microbial healing systems; MICP; SAP; concrete rehabilitation; eco-efficient construction materials.
Paper Title: Su-Ka-Pha the Founder of Ahom Kingdom in Assam : A Historical Study
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108523
Register Paper ID - 289819
Title: SU-KA-PHA THE FOUNDER OF AHOM KINGDOM IN ASSAM : A HISTORICAL STUDY
Author Name(s): Dhruba Jyoti Dutta
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e608-e612
Year: August 2021
Downloads: 137
Chaolung Sukapha, the first Ahom king in medieval period, was the founder of the Ahom kingdom in Assam. A Tai prince originally from Mong Mao, (which is now included within the Dehong-Dai Singhpho Autonomous Prefecture of Yunnan in Peoples Republic of China), the kingdom he established in 1228 existed for nearly six hundred years and in the process unified the various tribal and non-tribal peoples of the region that left a deep impact on the region. He was a brave and courageous dignitary who enlightened every part of his kingdom. His good governance not only influenced the Ahom kingdom but also the other small states in Assam, then known as Kamrup. To make the Ahom dynasty powerful and permanent he undertook conciliatory measures towards the neighbouring kings. He appointed Katakis and two chief Buragohain and Borgohain which were most essential for the foundation, growth and prosperity of his newly established regime. Through this study, an effort has made to draw the role of Sukapha in founding Ahom dynasty in Assam and to understand his relation with other neighbouring countries in maintaining peace. In reference to his position in Assam's history the honorific Chaolung is generally associated with his name (Chao: lord; Lung great).
Licence: creative commons attribution 4.0
Ahom Kingdom, Ahom dynasty, Assam, brave, founder, good governance, states.
Paper Title: Advance Smart Assistant for Differently able Persons Using Artificial Intelligence
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108522
Register Paper ID - 288953
Title: ADVANCE SMART ASSISTANT FOR DIFFERENTLY ABLE PERSONS USING ARTIFICIAL INTELLIGENCE
Author Name(s): Madhu N Y, Latha P H, Mahesha L S
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e603-e607
Year: August 2021
Downloads: 138
Intherapidlyevolvingfieldofartificialintelligence,voiceassistantshavebecomeanintegralpartofmoderntechnology,significantlyimprovinghuman-computerinteraction.ThisprojectfocusesonthedevelopmentofanadvancedAI-poweredvoiceassistantdesignedtostreamlinevarioustasksthroughintelligentvoicecommands.Unliketraditionalvoiceassistantsthatprimarilyperformpredefinedtasks,thissystemoffersanexpandedrangeoffunctionalities,includingsendingWhatsAppvoicemessageswithoutmanualinput,openingwebsitesdirectlyviavoicecommands,performingreal-timeYouTubesearches,generatingtextandimagesusingAImodels,andanalyzingdocumentsforcontentextraction.
Licence: creative commons attribution 4.0
Advance Smart Assistant for Differently able Persons Using Artificial Intelligence
The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.
Indexing In Google Scholar, ResearcherID Thomson Reuters, Mendeley : reference manager, Academia.edu, arXiv.org, Research Gate, CiteSeerX, DocStoc, ISSUU, Scribd, and many more International Journal of Creative Research Thoughts (IJCRT) ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved. Provide DOI and Hard copy of Certificate. Low Open Access Processing Charges. 1500 INR for Indian author & 55$ for foreign International author. Call For Paper (Volume 13 | Issue 11 | Month- November 2025)

