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: A STUDY ON RELATIONSHIP OF TEACHER EFFECTIVENESS AND JOB SATISFACTION AMONG WOMEN TEACHERS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108488
Register Paper ID - 211336
Title: A STUDY ON RELATIONSHIP OF TEACHER EFFECTIVENESS AND JOB SATISFACTION AMONG WOMEN TEACHERS
Author Name(s): Sri Sanjeevakumar Shivabal, Prof. Surekha Ksheerasagar
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e341-e346
Year: August 2021
Downloads: 776
This paper is an attempt to find out the relationship of teacher effectiveness with job satisfaction among secondary school women teachers in the state of Karnataka. Kulsum Teacher Effectiveness Scale (KTES) by Kulsum (2000) and Job Satisfaction Scale by Singh & Sharma (1999) were administered on a sample of 400 women teachers randomly selected from Raichur, Yadgir, Kalaburagi and Bidar districts of Karnataka. The study revealed a significant difference in teacher effectiveness among women teachers with high, average and low level of job satisfaction. Women teachers with high level of job satisfaction are higher in teacher effectiveness than teachers with average or low level of job satisfaction. Teacher effectiveness and job satisfaction are positively and significantly related. There exists a positive significant relationship between teacher effectiveness and job satisfaction among women teachers working in urban areas and government schools but a positive insignificant relationship between teacher effectiveness and job satisfaction among women teachers working in rural areas and private schools.
Licence: creative commons attribution 4.0
job satisfaction, Teacher effectiveness, women teachers
Paper Title: ATTITUDE AND JOB COMMITMENT OF OBC TEACHERS TOWARDS TEACHING
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108487
Register Paper ID - 211334
Title: ATTITUDE AND JOB COMMITMENT OF OBC TEACHERS TOWARDS TEACHING
Author Name(s): Sri Sanjeevakumar Shivabal, Prof. Surekha Ksheerasagar
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e329-e340
Year: August 2021
Downloads: 782
Licence: creative commons attribution 4.0
Key Wards: Teaching, Attitudes and job Commitment, High School, Gender, Experience, etc.
Paper Title: THE IMPACT OF SOCIAL MEDIA ON CONSUMER BUYING BEHAVIOR
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108486
Register Paper ID - 211464
Title: THE IMPACT OF SOCIAL MEDIA ON CONSUMER BUYING BEHAVIOR
Author Name(s): Ms. Kamalpreet Kaur
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e325-e328
Year: August 2021
Downloads: 831
Licence: creative commons attribution 4.0
social media, Consumer Behavior, Marketing, decision making process
Paper Title: TEXT CLASSIFICATION ON TWITTER DATA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108485
Register Paper ID - 211466
Title: TEXT CLASSIFICATION ON TWITTER DATA
Author Name(s): N V S Sowjanya, K Sunil Kumar, N Tejaswi, V Sesha Chandra Sai, S V Sai Krishna
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e321-e324
Year: August 2021
Downloads: 836
Licence: creative commons attribution 4.0
Sentiment Analysis, Classifiers, lexicon-based, machine learning, Multinomial Naive Bayes, Logistic Regression, Textblob, SentiWordNet
Paper Title: URODYNAMICS PROFILE IN AN INDONESIAN TERTIARY HOSPITAL
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108484
Register Paper ID - 211469
Title: URODYNAMICS PROFILE IN AN INDONESIAN TERTIARY HOSPITAL
Author Name(s): Yutha Pariputra, Johan Renaldo
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e316-e320
Year: August 2021
Downloads: 779
Background: Micturition disorder is one of the most common problems in urology. Due to the variability of the causes, the diagnosis might be difficult. Urodynamics examination remains the gold standard for examining the pathophysiology of dysfunction in the urinary tract, such as urinary incontinence (UI) or lower urinary tract symptoms (LUTS). This procedure allows to describe the pathology in filling phase and the voiding phase. Objective: To describe urodynamics profile of male patients with urinary symptoms in Soetomo General Hospital in the year 2017-2019 Methods: This research was a retrospective descriptive study. The data was collected from electronical medical records from all male patients with urinary symptoms that undergo urodynamic evaluation at Soetomo General Hospital from January 2017 to December 2019. The data is presented descriptively in table and narrative form. Results: There was a total of 80 patients included in this study. The majority of the patient was classified as elderly patients (>60 y.o.), with a total of 26 patients (32%). The most commonly reported symptom was urine retention in 23 patients (26.74%). Most of the patients had a Q-max result <10 mL/second (76.25%), PVR <150 mL (62.5%), and a post-urodynamic diagnosis of detrusor underactivity (DU). Half of the patients have a comorbid disease, with spinal dysfunction being the most commonly reported comorbidity in the patients (12.5%). All the patients undergo treatment for their symptoms. 75% of the patients were taking pharmacological treatments, while 25% of them underwent surgical procedures. Conclusion: Patients with urinary symptoms that underwent urodynamic evaluation most commonly reported a symptom of urinary retention. The urodynamic evaluation revealed that DU is the most commonly reported post-urodynamic diagnosis. Furthermore, urodynamic studies may differentiate patient needs for pharmacological treatment and undergone surgical procedures.
Licence: creative commons attribution 4.0
urodynamics profile, urinary symptom, descriptive study.
Paper Title: AN ANALYSIS OF MACHINE LEARNING CLASSIFIERS IN BREAST CANCER DIAGNOSIS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108483
Register Paper ID - 211468
Title: AN ANALYSIS OF MACHINE LEARNING CLASSIFIERS IN BREAST CANCER DIAGNOSIS
Author Name(s): P. Manish, M.MONIKA, V.TEJA SRUTHI, P.NAGA VANDANA, G.HARIKA
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e312-e315
Year: August 2021
Downloads: 780
In the field of assisted cancer diagnosis, it is expected that the involvement of machine learning in diseases will give doctors a second opinion and help them to make a faster / better determination. There are a huge number of studies in this area using traditional machine learning methods and in other cases, using deep learning for this purpose. This article aims to evaluate the predictive models of machine learning classification regarding the accuracy, objectivity, and reproducible of the diagnosis of malignant neoplasm with fine needle aspiration. Also, we seek to add one more class for testing in this database as recommended in previous studies. We present six different classification methods: Multilayer Perceptron, Decision Tree, Random Forest, Support Vector Machine and Deep Neural Network for evaluation. For this work, we used at University of Wisconsin Hospital database which is composed of thirty values which characterize the properties of the nucleus of the breast mass. As we showed in result sections, DNN classifier has a great performance in accuracy level (92%), indicating better results in relation to traditional models. Random forest 50 and 100 presented the best results for the ROC curve metric, considered an excellent prediction when compared to other previous studies published.
Licence: creative commons attribution 4.0
Diagnosis of malignant neoplasm, Multilayer Perceptron, Decision Tree, Random Forest, Support Vector Machine and Deep Neural Network
Paper Title: A STUDY FOCUS ON ATTITUDE OF POLICY HOLDERS TOWARDS SERVICES OF LIFE INSURANCE CORPORATION IN TIRUPUR CITY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108482
Register Paper ID - 211422
Title: A STUDY FOCUS ON ATTITUDE OF POLICY HOLDERS TOWARDS SERVICES OF LIFE INSURANCE CORPORATION IN TIRUPUR CITY
Author Name(s): M. M. REVATHI, Dr.M.VISWANATHAN, Dr.C.Selvakumar
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e298-e311
Year: August 2021
Downloads: 807
India is an agricultural country. The earnings of many of our people are not enough for their livelihood. So they are unable to make investments in savings. They give priority to their food, medical attention and education. They think of savings for the future. The main aim of the most of the investors is to gain tax relief. So many people lack knowledge of the necessity of insurance. The present study analyzes the attitudes of policyholders towards services of Life Insurance Corporation in Tirupur City, the data were collected and analysed as per the requirement of the study. The primary data were collected from the respondents through well designed questionnaire. The study has adopted convenient sampling method for selecting 150 respondents. The results revealed the fact that the factors, gender, age, educational qualification, occupation, marital status, monthly income family size and family type have influenced the level of attitude of the policyholders.
Licence: creative commons attribution 4.0
A STUDY FOCUS ON ATTITUDE OF POLICY HOLDERS TOWARDS SERVICES OF LIFE INSURANCE CORPORATION IN TIRUPUR CITY
Paper Title: INNOVATIVE TEACHING-LEARNING PRACTICES IN CONTEXT OF TEACHER EDUCATION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108481
Register Paper ID - 211399
Title: INNOVATIVE TEACHING-LEARNING PRACTICES IN CONTEXT OF TEACHER EDUCATION
Author Name(s): INDU BALA
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e289-e297
Year: August 2021
Downloads: 782
Licence: creative commons attribution 4.0
Education, Reflection, Enlightenment, Innovative practices
Paper Title: A STUDY ON FACTORS INFLUENCING THE CONSUMERS ATTITUDE ABOUT GREEN PRODUCTS WITH SPECIAL REFERENCE TO TIRUPUR CITY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108480
Register Paper ID - 211425
Title: A STUDY ON FACTORS INFLUENCING THE CONSUMERS ATTITUDE ABOUT GREEN PRODUCTS WITH SPECIAL REFERENCE TO TIRUPUR CITY
Author Name(s): P.Sudhadevi, Dr.M.Viswanathan, Dr.C.Selvakumar
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e275-e288
Year: August 2021
Downloads: 768
The purpose of this study is to understand the factors influencing the consumer attitude about green products. From this research it is found that attitude and personal norms are positively influencing consumer purchase intention and attitude towards green products. This study helps the marketers to design strategies for sustaining in the green products. The structured questionnaire was used collect primary data and analyzed using software package. This study aims to investigate the effect of demographic factors towards consumer attitude about green products. A total of 150 completed questionnaires were collected via convenience sampling from customers in Tirupur City. Eight demographic variables were used in this study including gender, age, educational qualification, employment status, monthly income, marital status, number of family members and type of family. The findings of the present study showed that the most used statistical techniques were Descriptive Analysis and Chi-Square Test. Based on the findings of the present study, several environmental and non-environmental predictors of green marketing strategies have been identified. The present study has also provided directions for future research on consumer attitude.
Licence: creative commons attribution 4.0
Published Paper ID: - IJCRT2108479
Register Paper ID - 210852
Title: MANDNA
Author Name(s): Dr. Mamta Singh
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e269-e274
Year: August 2021
Downloads: 866
Mandna is an excellent example of rajasthani traditional folk art. This artform has been preserved especially by rural women from centuries. This art uses geometrical forms of various types i.e circle, triangle etc. This artform transpires aesthetic beauty, celebration of festivals and religious traditions.
Licence: creative commons attribution 4.0
rajasthan, mandna, folk art, traditions
Paper Title: VYANGY - EK KALATMAK ABHIVYAKTI
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108478
Register Paper ID - 211472
Title: VYANGY - EK KALATMAK ABHIVYAKTI
Author Name(s): Dr. Manoj Telar, Mahesh Chandra Sharma
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e263-e268
Year: August 2021
Downloads: 771
VYANGY - EK KALATMAK ABHIVYAKTI
Licence: creative commons attribution 4.0
VYANGY - EK KALATMAK ABHIVYAKTI
Paper Title: THE CORRELATION BETWEEN TUMOR EXPANSION, NECK NODULES,AND FREE MARGIN WITH THE STOMAL RECURRENCE INCIDENCE AFTER A TOTAL LARYNGECTOMY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108477
Register Paper ID - 211310
Title: THE CORRELATION BETWEEN TUMOR EXPANSION, NECK NODULES,AND FREE MARGIN WITH THE STOMAL RECURRENCE INCIDENCE AFTER A TOTAL LARYNGECTOMY
Author Name(s): Puji Utami, Muhtarum Yusuf, Titiek Hidayati Ahadiah
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e256-e262
Year: August 2021
Downloads: 763
Abstract: Background: Stomal recurrence means a recurrence experienced by patients with laryngeal carcinoma after total laryngectomy with a high mortality rate. It is essential to identify the risk factors to predict stomal recurrence. However, factors contributing to stomal recurrence indicate controversial results. Tumor expansion, thyroid nodules, and free margins become the risk factors that are easily identified. The objective: This study aims to describe the correlation between tumor expansion, thyroid nodules, and free margins with stomal recurrence after total laryngectomy. Methods: This study applied an analytical observational study with retrospective cohort studies by employing secondary data. The samples included patients who had experienced a total laryngectomy from January 1, 2015, to December 31, 2019, and those who met the study criteria. The samples were divided into groups of T3 and T4 tumor expansion, groups of N1 and N2+ thyroid nodules, as well as groups of positive and negative free margins. These samples were associated with the stomal recurrence and categorized into yes and no accordingly. The Chi-Square Test was employed for correlation analysis and followed by multiple logistic regression. The results were considered correlated if the P-value was less than 0.05. Results: This study obtained 92 patients with 87 males and 5 females. The analysis of the correlation between tumor expansion and stomal recurrence suggested a P-value of 0.770, which was greater than 0.05. Meanwhile, the correlation between thyroid nodules and free margins with stomal recurrence indicated a P-value of 0.068 and 0.147, greater than 0.05. Conclusion: There was no significant correlation between tumor expansion, thyroid nodules, and free margins with stomal recurrence after a total laryngectomy.
Licence: creative commons attribution 4.0
total laryngectomy, tumor expansion, thyroid nodules, free margin, stomal recurrence.
Paper Title: STRESS AND COPING STRATEGIES AMONG NURSING STUDENTS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108476
Register Paper ID - 211456
Title: STRESS AND COPING STRATEGIES AMONG NURSING STUDENTS
Author Name(s): Zeenat Farooq., Iqbal majid dar
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e247-e255
Year: August 2021
Downloads: 780
Licence: creative commons attribution 4.0
Stress, Coping, Student, Nursing
Paper Title: EFFECT OF DIFFERENT MODULE OF WALKING INTERVENTIONS ON HEALTH RELATED PHYSICAL FITNESS OF MIDDLE AGED PEOPLE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108475
Register Paper ID - 211365
Title: EFFECT OF DIFFERENT MODULE OF WALKING INTERVENTIONS ON HEALTH RELATED PHYSICAL FITNESS OF MIDDLE AGED PEOPLE
Author Name(s): Dr. Ashoke Mukherjee, Dr. Nirmalendu Gayen, Dr.Debasis Das
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e235-e246
Year: August 2021
Downloads: 756
Aim: The purpose of the present experimental study was to find out the best walking intervention protocol which would have significant effect on health related physical fitness of the middle aged people. Methodology: Total 32 subjects have been selected purposively and divided randomly in equal numbers in four groups. Three experimental groups namely Experimental Group 1 (EG -1), Experimental Group 2 (EG -2), and Experimental Group 3 (EG -3), have gone through three different walking protocol for 12 weeks designed with different intensity and volume of walking; whereas the Control Group (CG) did not get any training. Three components of health related physical fitness namely cardio-respiratory endurance, muscular strength and endurance and body fat percentage has been tested through 12 Minute walk/run, one minute bent knee sit ups and skinfold measurement respectively. ANCOVA has been applied to find out the differences among the groups at 0.05 level of significance. LSD test has been applied to find out the best walking protocol. Result & Conclusion: The statistical findings of mean score of pre and post test mean scores have revealed the fact that all the three walking protocol has significantly improved the selected health related physical fitness components. The walking protocol III has been proved to be best protocol may be because of its gradual increase of intensity of speed with fixed distance covered in lesser duration after every four weeks of training.
Licence: creative commons attribution 4.0
Module, Intervention, Protocol, Health-related fitness.
Paper Title: HOW ARTIFICIAL INTELLIGENCE HAS BEEN USED IN THE ADMINISTRATION OF COVID -19 IN INDIA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108474
Register Paper ID - 211440
Title: HOW ARTIFICIAL INTELLIGENCE HAS BEEN USED IN THE ADMINISTRATION OF COVID -19 IN INDIA
Author Name(s): Mr. Rushi R.Durge, Mr.Satish Mulgi, Mr.Bhushan Nikam, Mr. Yogesh Ingale
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e226-e234
Year: August 2021
Downloads: 761
ABSTRACT: Over 2.52Cr covid-19 cases in India. Using data and algorithm route block rapid progress of covid-19.AI & ML to solve real world problem like the corona virus outbreal.AI used powerful complex algorithm with them process data which them immolated human cognation to interpretation and compression of complicated medical and health care data for any artificial intelligence, need to be big data needed. This paper mostly focuses on how to manage spread of infection using Artificial Intelligence. Also focuses on the topic and the challenges a developing country such as India faces and overcome. The condition is troubling and new scientific, environmental and infrastructure needs to play a crucial role in removing this important problem globally (including India). It focused in this report on how India, a developing country is trying to stop corona spreading, and how artificial intelligence (AI) plays an essential role in controlling and monitoring the disease.
Licence: creative commons attribution 4.0
Artificial Intelligence(AI), Data Science, PCR, Drone, Aarogya setu App, Robert,RT-PCR,Mylab ,Google AI
Paper Title: SENTIMENT ANALYSIS ON COVID-19 TWITTER DATA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108473
Register Paper ID - 211452
Title: SENTIMENT ANALYSIS ON COVID-19 TWITTER DATA
Author Name(s): Justin Seby
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e222-e225
Year: August 2021
Downloads: 767
The COVID-19 pandemic has led to the dramatic destruction of human life worldwide and presents an unprecedented hurdle to public health, livelyhood and the world of work. The social and economical disruption caused by the pandemic is devastating. The outbreak first appeared in to spotlight in December 2019 in Wuhan, China. This was declared as a pandemic by the World Health Organization on 11th March 2020. This article analyses how people react to a pandemic outbreak, how much they are aware of the disease and its symptoms, what preventive measures they are taking, whether people are following government guidelines, etc. The experiments have been conducted on the collected data related to COVID-19 tweets from all over the world. This study was conducted to understand how people from different infected countries cope with the situation
Licence: creative commons attribution 4.0
Paper Title: WORD BASED PREDICTION USING LSTM NEURAL NETWORKS FOR LANGUAGE MODELING
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108472
Register Paper ID - 211445
Title: WORD BASED PREDICTION USING LSTM NEURAL NETWORKS FOR LANGUAGE MODELING
Author Name(s): ASWINI THOTA, P. SRINIVASA REDDY
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e216-e221
Year: August 2021
Downloads: 751
Neural networks have become increasingly popular for the task of language modeling. Whereas feed-forward networks only exploit a fixed context length to predict the next word of a sequence, conceptually, standard recurrent neural networks can take into account all of the predecessor words. On the other hand, it is well known that recurrent networks are difficult to train and therefore are unlikely to show the full potential of recurrent models. These problems are addressed by the Long Short-Term Memory neural network architecture. In this work, we analyze this type of network on an English and a large French language modeling task. Experiments show improvements of about 8% relative in perplexity over standard
Licence: creative commons attribution 4.0
WORD BASED PREDICTION USING LSTM NEURAL NETWORKS FOR LANGUAGE MODELING
Paper Title: STUDIES ON FLORISTIC DIVERSITY ANALYSIS OF TROPICAL SEMI EVERGREEN FOREST OF NARASAPUR, MEDAK DIST, TELANGANA STATE, INDIA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108471
Register Paper ID - 211414
Title: STUDIES ON FLORISTIC DIVERSITY ANALYSIS OF TROPICAL SEMI EVERGREEN FOREST OF NARASAPUR, MEDAK DIST, TELANGANA STATE, INDIA
Author Name(s): Dr. S. Vijaya
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e207-e215
Year: August 2021
Downloads: 778
The present paper aimed to study the floristic diversity of Narasapur Reserve Forest dominated forest of Telangana State. Floral diversity patterns of vascular plant species were studied along with the geographical gradients in the Areas of tropical regions of Narasapur Reserve Forest. Narasapur Reserve Forest is located in and around Narasapur town in Medak District. The area of the block is 1752.33 hectares. Vegetation data were sampled from two moist evergreen and deciduous forest fragments. The patterns of plant diversity were evaluated on the basis of species richness as the total number of species at each site and species change between and within sites and in relation to vegetation structure. During the field trips and research it is found the field area is inhabited by various types of plants like Tecton grandis;Terminalia arjuna;Ficus recemosa; Terocarpus marspium; Annona squamosal; Aerva lanata; Crotalaria junceae etc. A total of 66 species belonging to 35 families were recorded. The quantitative features such as density and importance value index of species varied greatly. In the present study the diversity index of shrubs and herbs were found to be higher than the tree species. The forest has very thick canopy and many hillocks. The concentration of dominance was recorded highest in the tree species. The presence of low number of higher girth class of tree species and higher number of the saplings and seedlings indicates that the present forest is young exhibiting frequent regeneration
Licence: creative commons attribution 4.0
Evergreen Forest, Narasapur Reserve Forest, deciduous, forests, floristic diversity, and species diversity
Paper Title: FACE DETECTION BASED ATTENDANCE SYSTEM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108470
Register Paper ID - 211420
Title: FACE DETECTION BASED ATTENDANCE SYSTEM
Author Name(s): GURRAM VIMALA, B. N. SRINIVASA GUPTA
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e201-e206
Year: August 2021
Downloads: 765
Automatic face recognition (AFR) technologies have seen dramatic improvements in performance over the past years, and such systems are now widely used for security and commercial applications. An automated system for human face recognition in a real time background which can be useful for a college to mark the attendance of their students. So using Real Time Face Recognition is a real world solution which comes with day to day activities of handling various activities. The task is very difficult as the real time background subtraction in an image is still a challenge. To detect real time human face are used and a simple fast Principal Component Analysis has used to recognize the faces detected with a high accuracy rate. The matched face is used to detect accurate user .Our system maintains the collection of user facial features as datasets and use them for verification. information they.
Licence: creative commons attribution 4.0
FACE DETECTION BASED ATTENDANCE SYSTEM
Paper Title: THE EFFECT OF COVID-19 OUTBREAK ON THE QUALITY EDUCATION; SOCIAL WORK ROLE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2108469
Register Paper ID - 211435
Title: THE EFFECT OF COVID-19 OUTBREAK ON THE QUALITY EDUCATION; SOCIAL WORK ROLE
Author Name(s): Rajesh Tamang
Publisher Journal name: IJCRT
Volume: 9
Issue: 8
Pages: e195-e200
Year: August 2021
Downloads: 759
Licence: creative commons attribution 4.0
Key words: COVID-19, Quality education, social work, students, implication level
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 7 | Month- July 2024)