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: Data to Drive Instruction: A Guide to Effective Reading Literacy
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206054
Register Paper ID - 242987
Title: DATA TO DRIVE INSTRUCTION: A GUIDE TO EFFECTIVE READING LITERACY
Author Name(s): Noli B. Ballara, MAT
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i920-i934
Year: May 2022
Downloads: 96
This study investigated the factors influencing reading literacy among Grade 4 learners in Northern Iloilo, Philippines. The study collected data from 300 learners based on sex, residence, parents' highest educational attainment, and estimated monthly income. The study found that the overall reading literacy level of the learners was "instructional." Still, learners whose parents had only completed elementary school were described as "frustration," while those whose parents were high school and college graduates were described as "instructional." The study identified learner-related, teacher-related, and school-related factors as vital contributors to reading literacy, while home-related factors were moderate contributors. The findings emphasize the need for educators to monitor reading literacy data and consider the identified factors to develop practical instructional guides to enhance learners' reading comprehension.
Licence: creative commons attribution 4.0
learners, factors, educational attainment, instructional changes, monitoring, effective, instructional guides
Paper Title: THE IMPACT OF PHYSICS ON TECHNOLOGICAL PROGRESS, SOCIETY, ECONOMY, AND ENVIRONMENT: A COMPREHENSIVE REVIEW
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206053
Register Paper ID - 242025
Title: THE IMPACT OF PHYSICS ON TECHNOLOGICAL PROGRESS, SOCIETY, ECONOMY, AND ENVIRONMENT: A COMPREHENSIVE REVIEW
Author Name(s): Prof.Smt. Kalpana M. Painagoni
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i889-i919
Year: May 2022
Downloads: 142
Physics, as one of the fundamental sciences, plays a pivotal role in driving technological progress, shaping society, influencing the economy, and impacting the environment. This research article aims to provide a comprehensive review of the multifaceted interactions between physics and these various aspects. By analyzing scientific literature, technological advancements, and societal changes, this paper demonstrates the indispensable link between physics and the development of modern society. The article further explores how physics-driven technologies have contributed to economic growth and sustainability, while also addressing potential environmental challenges that arise from technological progress. The findings presented here emphasize the importance of continued support for physics research and innovation to ensure a positive and sustainable future for humanity.
Licence: creative commons attribution 4.0
Technology progress, Case studies, society, Economy, Environment
Paper Title: THE IMPACT OF FISCAL POLICY ON ECONOMIC GROWTH: AN ANALYSIS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206052
Register Paper ID - 238309
Title: THE IMPACT OF FISCAL POLICY ON ECONOMIC GROWTH: AN ANALYSIS
Author Name(s): Dr.Manjunath G Chalawadi
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i883-i888
Year: May 2022
Downloads: 120
THE IMPACT OF FISCAL POLICY ON ECONOMIC GROWTH: AN ANALYSIS
Licence: creative commons attribution 4.0
A STUDY ON PRIVATISATION OF PUBLIC SECTOR ENTERPRISES IN INDIA - AN ECONOMIC ANALYSIS
Paper Title: A STUDY ON AWARENESS AND ATTITUDE OF SECONDARY SCHOOL TEACHERS TOWARDS SLOW LEARNERS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206050
Register Paper ID - 228020
Title: A STUDY ON AWARENESS AND ATTITUDE OF SECONDARY SCHOOL TEACHERS TOWARDS SLOW LEARNERS
Author Name(s): Dr. Kanakappa Pujar
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i874-i880
Year: May 2022
Downloads: 157
Licence: creative commons attribution 4.0
Slow learners, Attitude, Awareness,
Paper Title: A STUDY ON EDUCATIONAL LEADERSHIP OF HEAD TEACHERS IN RELATION TO SOCIO-ECONOMIC STATUS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206049
Register Paper ID - 222354
Title: A STUDY ON EDUCATIONAL LEADERSHIP OF HEAD TEACHERS IN RELATION TO SOCIO-ECONOMIC STATUS
Author Name(s): DAKSHAYINI H.S., Dr. PALANETHRA L.
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i867-i873
Year: May 2022
Downloads: 270
Licence: creative commons attribution 4.0
Educational Leadership, Socio-Economic Status, Effectiveness, Head, Teachers.
Paper Title: GREEN COMPUTING AND IOT: APPLICATION AND TREND
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206048
Register Paper ID - 225468
Title: GREEN COMPUTING AND IOT: APPLICATION AND TREND
Author Name(s): Rana M Pir
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i858-i866
Year: May 2022
Downloads: 172
IoT is an important step toward the upcoming smart era. Most devices are connected to the internet nowadays. IoT utilizes sensor data and interconnected devices to transfer information from one device to another using internet. IoT has numerous advantages, but the only disadvantage is that all the connected devices should remain on all the time to give and sense the data, which over in all consumes lots of energy. Green IoT is the concept of saving energy using various green computing techniques in IoT devices. This paper introduces GreenIoT and explains the need for Green IoT in today's era. Moreover, this paper focuses on various applications of the Green IoT. It also provides the research path in the area of GreenIoT. Finally, it discusses open challenges in Green IoT with some of the solutions and research trends in the area.
Licence: creative commons attribution 4.0
IoT, Green IoT, Smart devices, IoT Devices, Green computing
Paper Title: POPULATION GROWTH AND ENVIRONMENTAL DEGRADATION : A CASE STUDY OF MUZAFFARPUR CITY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206047
Register Paper ID - 224251
Title: POPULATION GROWTH AND ENVIRONMENTAL DEGRADATION : A CASE STUDY OF MUZAFFARPUR CITY
Author Name(s): Indrani Roy, Dr. Rupa Kumari
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i852-i857
Year: May 2022
Downloads: 173
Licence: creative commons attribution 4.0
Population, Environment, sustainability, resource, pollution, infrastructure, management.
Paper Title: THE IMPACT OF INFORMATION, COMMUNICATION, AND TECHNOLOGY (ICT) ON COCA-COLA INDUSTRY PERFORMANCE IN ENUGU, NIGERIA WHAT ROLE DOES PERFORMANCE COUNSELING PLAY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206046
Register Paper ID - 219426
Title: THE IMPACT OF INFORMATION, COMMUNICATION, AND TECHNOLOGY (ICT) ON COCA-COLA INDUSTRY PERFORMANCE IN ENUGU, NIGERIA WHAT ROLE DOES PERFORMANCE COUNSELING PLAY
Author Name(s): BAHAGO SAMAILA BENEDICT, NDUJI ROMANUS, UCHENNA E. ENEM, GOTIP, NEHEMIAH WOKJI
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i832-i851
Year: May 2022
Downloads: 328
Abstract This research looked at the impact of information and communication technology (ICT) on the performance of the Coca-Cola industry in Enugu as well as the role that organizational counseling might play in ensuring adequate growth in this period of global ICT revolution. A total of 260 employees from the Enugu Coca-Cola Industry participated in the survey. The study was conducted using a descriptive survey research approach. Respondents were drawn from the various units of the industry using purposeful random sampling. Pearson's moment correlation coefficient and simple linear regression statistical methods were used to evaluate three hypotheses. The study discovered that the availability of ICT infrastructure influenced Coca-Cola Industry Performance in Enugu positively, whereas inadequate ICT usage abilities and competencies of personnel influenced Coca-Cola Industry Performance in Enugu adversely. In addition, the Coca-Cola industry in Enugu's performance was significantly impacted by corporate customers' poor use of ICT. Based on the findings, this study suggests that organizations deploy appropriate ICT and use it effectively to gain a worldwide competitive edge, as effective ICT use has a significant impact on organizational performance. The study also suggested that the Coca-Cola industry in Enugu, Nigeria, form strategic alliances with other international industries in the areas of staff abilities and competencies in effective ICT use in order to gain new and practical knowledge on upgrading their technology, new programs, and new methods of production and delivery, as well as make effective use of organizational counseling and be open to embracing new emerging technological industrial innovations to increase their market share.
Licence: creative commons attribution 4.0
Counselling, impact, industry, Information, Communication, and Technology, and Performance
Paper Title: USE OF DEEP LEARNING MODELS FOR WEATHER IMAGE PREDICTION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206045
Register Paper ID - 221589
Title: USE OF DEEP LEARNING MODELS FOR WEATHER IMAGE PREDICTION
Author Name(s): K. CHANDRASEKHAR
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i820-i831
Year: May 2022
Downloads: 237
Image data captured from outdoor visual devices are usually degraded by some external factors such as fog, rainfall, snow, smoke and haze. Hence the weather condition plays a prominent role in disturbing the public transportation systems as well as some advance assistance systems which try to capture the data from outdoor cameras and then function the system.Hence in order to avoid this disruption of images from outdoor cameras, one should able to identify the weather situation and what are the possible factors that may cause due to current weather images.In primitive days there is no such automatic method which can identify the weather images and process those images and find out the possible factors related to that weather image. Hence this motivated me to develop this proposed model, in which we try to collect some weather images and apply image processing techniques and CNN model to identify the weather image and its possible outcomes in order to take preventive steps from deweathering operations (e.g., removals of haze, rain, or snow) would be correctly triggered accordingly. Here we try to collect some weather images from jehanbhathena/weather-dataset and then apply VGG-19 as best CNN model to train the application and our experimental and simulation results clearly state that our proposed system achieved nearly 96 % of accuracy compared with other primitive models and hence this proposed VGG-19 is best and accurate in order to predict the weather possibility from weather images.
Licence: creative commons attribution 4.0
CNN Model, VGG-19 Model, Weather Images, Image Processing, Public Transportation Systems, Assistance Systems.
Paper Title: USE OF MACHINE LEARNING ALGORITHMS FOR PREDICTION OF HEART DISEASE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206044
Register Paper ID - 221590
Title: USE OF MACHINE LEARNING ALGORITHMS FOR PREDICTION OF HEART DISEASE
Author Name(s): G.V. Gayathri, Md. Yazaz Rehman
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i812-i819
Year: May 2022
Downloads: 238
Heart diseases are considered one of the most familiar causes of death worldwide. Early identification and medication can save a lot of people. There are multiple types of heart diseases that make it difficult to identify the type of disease that a patient is suffering with. Such data, whenever anticipated well ahead of time, can give significant instincts to specialists who can then adjust their conclusion and manage per patient premise. A machine must be developed such that it can identify the type of heart disease and update the machine itself by taking the experiences of the patients. (ML) can bring a compelling answer for navigation and precise forecasts. The clinical business is showing gigantic advancement in utilizing AI strategies. We work on foreseeing conceivable heart diseases in individuals utilizing Machine Learning calculations. This paper aims to build a model using multiple machine learning classifiers such as Logistic Regression (LR), Naive Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN) & Decision Tree. The model is able to implement hybrid classification by gaining weak and strong classifiers trained and tested on a dataset that contains multiple attributes and the efficient algorithm is considered the best. The decision tree performed best among the other algorithms with better accuracy and performance.
Licence: creative commons attribution 4.0
Machine Learning, Logistic Regression (LR), Naive Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN) , Decision Tree.
Paper Title: A MODEL ADAPTATION ANNOVATION FOR MECHANIZED TUNNELING: SUBSOIL UNCERTAINTY CONSIDERATION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206043
Register Paper ID - 221640
Title: A MODEL ADAPTATION ANNOVATION FOR MECHANIZED TUNNELING: SUBSOIL UNCERTAINTY CONSIDERATION
Author Name(s): Yeruva Ramana Reddy
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i806-i811
Year: May 2022
Downloads: 261
This research paper focuses on modeling a technology that will be useful in the mechanization tunneling of subsoil. Tunneling has evolved from cave creation to water management, underground transit, mineral extraction, and warfare throughout history. During the 1950s, cutting and blasting methods were replaced by the most modern and complex automated digging using tunnel boring machines. Tunnel drilling machines are significant in boring through various soil and rock types, including clays, granular soils, severely fractured or monolithic rock layers, partially saturated or saturated ground, escarpments with high loads, and sensitive metropolitan areas with little overburden [1]. Tunnel boring equipment is now common in a wider range of geotechnical situations. An overview of tunneling using tunnel boring machines and their applicability for soft ground conditions is provided in this review study.
Licence: creative commons attribution 4.0
Tunneling, Artificial Intelligence, Laser Beams, Subsurface soil, Geological Investigation, Excavation, Civil Engineering
Paper Title: Saltanat kal me mahilao ki stithi {etihasik sandarbh me}
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206042
Register Paper ID - 221121
Title: SALTANAT KAL ME MAHILAO KI STITHI {ETIHASIK SANDARBH ME}
Author Name(s): Satay Narain, Nikli Nehra
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i799-i805
Year: May 2022
Downloads: 568
SANTLAT KALIN BHARAT MEIN MAHILAO KI STHITI EK ADHYAYAN (AETIHASIK SANDARBH MEIN)
Licence: creative commons attribution 4.0
SANTLAT KALIN BHARAT MEIN MAHILAO KI STHITI EK ADHYAYAN (AETIHASIK SANDARBH MEIN)
Paper Title: EFFECT OF HERBAL MEDICINE ON LACTATION AND BREAST FEEDING PRACTICES
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206041
Register Paper ID - 220958
Title: EFFECT OF HERBAL MEDICINE ON LACTATION AND BREAST FEEDING PRACTICES
Author Name(s): Dr. Gazala Shafeequerrahman, Dr. Shadab Jamal
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i794-i798
Year: May 2022
Downloads: 252
The first consideration that comes to mind when we talk feeding infants, is the newborn obviously take us to the natural ,god given gift to the mother , that of breast milk. As soon as the child born , natural prepares both , the mother the baby to make best of this natural gift.Soon after birth the mother starts secreting milk.Unfortunately lactation failure increases among child bearing female in India. A herbal medicine and some home remedies for example satavar,shakakul, singhada improves lactations
Licence: creative commons attribution 4.0
Lactation,Herbal Medicine,Feeding,Lactation failure,infections and protections style, styling, insert.
Paper Title: ROLE OF SOCIAL MEDIA ADVERTISEMENT IN THE HOSPITALITY INDUSTRY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206040
Register Paper ID - 221116
Title: ROLE OF SOCIAL MEDIA ADVERTISEMENT IN THE HOSPITALITY INDUSTRY
Author Name(s): Atanu Bhattacharya, Vikas Sharma, Seema Kaushik, Qamar Ali Mir, Tushar Sharma
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i785-i793
Year: May 2022
Downloads: 261
Licence: creative commons attribution 4.0
Social Media, Hotel, Hospitality, Tourism
Paper Title: SOLAR BASED IRRIGATION SYSTEM BY USING NODE MCU
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206039
Register Paper ID - 220977
Title: SOLAR BASED IRRIGATION SYSTEM BY USING NODE MCU
Author Name(s): Ubare Ashwinkumar Narendra, Prathmesh Dattatraya Patil, Vijay Rajkumar Jadhav, Omkar Shankar Shinde, Vrishali sanjay Bhutkar
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i779-i784
Year: May 2022
Downloads: 291
Licence: creative commons attribution 4.0
Solar, Node-MCU, Relay, Temperature & Humidity Sensor, Moisture sensor.
Paper Title: THE ROLE OF PATIENT-SPECIFIC IMPLANTS IN CRANIOMAXILLOFACIAL RECONSTRUCTIVE SURGERY: A SCOPING REVIEW.
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206038
Register Paper ID - 221058
Title: THE ROLE OF PATIENT-SPECIFIC IMPLANTS IN CRANIOMAXILLOFACIAL RECONSTRUCTIVE SURGERY: A SCOPING REVIEW.
Author Name(s): Shahana Parveen, Apoorva Mowar, Prajesh Dubey
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i772-i778
Year: May 2022
Downloads: 282
Most surgeons consider reconstructing maxillofacial deformities complicated due to the region's complex anatomy and cosmetic and functional impacts on patients. Resorption, infection, and displacement are frequently associated with the use of prefabricated alloplastic implants and autogenous grafts. In reconstructive surgery, recent technological advancements have led to the establishment of customized computer-designed patient-specific implants (PSIs). Using biomaterials such as polymethylmethacrylate (PMMA), Polyetheretherketone (PEEK) and titanium mesh, additive manufacturing methods have enabled the production of customized implants for craniomaxillofacial purposes. The advent of additive manufacturing and three-dimensional (3D) printing, as well as recent advancements in the technologies, had a positive influence on the biomedical area, resulting in the use of patient-specific implants (PSIs) in the surgical repair of maxillofacial abnormalities. Due to advancements in computing power, 3D modeling software, and manufacturing technology, craniomaxillofacial implants are now digitally designed and directly fabricated without the requirement of physical anatomical models or prosthetists. This paper describes the various applications, advantages and disadvantages of patient-specific implants in craniomaxillofacial reconstruction.
Licence: creative commons attribution 4.0
Additive manufacturing, Patient-specific implants, Titanium mesh, PEEK, Craniomaxillofacial, Reconstruction.
Paper Title: CH0VH0LH0 ,OA FOF'K
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206037
Register Paper ID - 220961
Title: CH0VH0LH0 ,OA FOF'K
Author Name(s): DR. SHYAM SUNDAR KUSHWAHA
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i764-i771
Year: May 2022
Downloads: 334
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Licence: creative commons attribution 4.0
????? ???? :- ???????? ????????, ??0??0??0 ??? ??????? ??0??0??0 ?????????? ???????, ????? ???????? ??? ?????? ???????????
Paper Title: A SMART AGRICULTURAL MODEL BY INTEGRATING IOT, MOBILE AND CLOUD BASED BIG DATA ANALYTICS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206036
Register Paper ID - 221044
Title: A SMART AGRICULTURAL MODEL BY INTEGRATING IOT, MOBILE AND CLOUD BASED BIG DATA ANALYTICS
Author Name(s): S. Lakshmanaprakash, Dr.M.Rathamani
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i759-i763
Year: May 2022
Downloads: 277
Licence: creative commons attribution 4.0
IoT, WSN, Pall computing, Big Data, Hadoop, MapReduce, Mobile computing, Data mining, Precision Agriculture.
Paper Title: THE PREPARATION AND EVALUATION OF COMMIPHORA MUKUL GEL CONTAIN ANTIARTHRITIS DRUG FOR RHEUMATOID ARTHRITIS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206035
Register Paper ID - 220974
Title: THE PREPARATION AND EVALUATION OF COMMIPHORA MUKUL GEL CONTAIN ANTIARTHRITIS DRUG FOR RHEUMATOID ARTHRITIS
Author Name(s): Patil Manali Eknath, Dr.V.R.Salunkhe
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i747-i758
Year: May 2022
Downloads: 279
Commiphora Mukul is widely known as guggulu. The present research study supports preformulation , formulation, evaluation and in-vitro activity of that gel accomodating Commiphora Mukul as an inflammation reducing agent. The preformulation study is fulfilled by evaluation of active pharmaceutical ingredient using suitable parameters like state, colour, odour, appearance and solubility.The commiphora Mukul is drug come under family Burseraceae. Commiphora Mukul gel is cheap anti-inflammatory drug with least side effects. The in-vitro inflammatory activity is fulfilled by Protein denaturation method. The percentage inhibition of sample containing 10 mg was found to 32.50% The absorbance was foung to be 0.81 at wavelength 660 nm. The gel is suitable, acceptable and moderate.
Licence: creative commons attribution 4.0
Anti-inflammatory, Commiphora mukul, Preformulations
Paper Title: APPLICATION OF DATA MINING TECHNIQUES IN FINAL YEAR PROJECTS MANAGEMENT SYSTEM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2206034
Register Paper ID - 221049
Title: APPLICATION OF DATA MINING TECHNIQUES IN FINAL YEAR PROJECTS MANAGEMENT SYSTEM
Author Name(s): K. Selvaganapathy, N. Karthikeyan
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: i737-i746
Year: May 2022
Downloads: 257
This paper proposed Final Year Projects Management System to replace the current homemade system. The homemade system is messy and time consuming with lack in effectiveness. The main ideal of this design is to engage all parties in one cooperative online system totally as a medium in swapping information for Final Year Project. In recent times data mining has been passing growing fashionability. It has been applied for colorful purposes and come generally used in day- to- day operations for knowledge discovery, especially in areas where query is substantial. Data mining is replacing traditional error prone and frequently ineffective ways or is used in confluence. Due to a large number of systems either Floundering or indeed failing the experimenters fete its implicit operation in the design operation discipline in order to increase design success rates. It can be used for different estimation problems like trouble, duration, quality or conservation cost. This paper presents a critical review of implicit operations of data mining ways contributing to the design Operation field.
Licence: creative commons attribution 4.0
Data mining, knowledge discovery in databases, final time systems operation, software trouble estimation, design monitoring, software quality, conservation cost, data mining operations.
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 12 | Issue 6 | Month- June 2024)