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: ANALYSIS OF MELANOCYTES (BENIGN VS. MALIGNANT) DETECTION USING CNN REVIEW PAPER
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205707
Register Paper ID - 220380
Title: ANALYSIS OF MELANOCYTES (BENIGN VS. MALIGNANT) DETECTION USING CNN REVIEW PAPER
Author Name(s): Samruddhi Vijay Suryakar, Prashant Adakane
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g122-g125
Year: May 2022
Downloads: 261
In india skin cancer is a most Dangerous type of cancer rises in recent past years. Exact known causes for this type cancer may vary upon situation,condition,atmosphere etc. The necessity of early diagnosis of the skin cancer have been increased because of the rapid growth rate of Melanoma skin cancer, it? high treatment costs, and death rate. This cancer cells are detected manually and it takes time to cure in most of the cases. This paper proposed an artificial skin cancer detection system using VCG-16 Architect of image processing and machine learning method. The features of the affected skin cells are extracted after the segmentation of the dermatoscopic images using feature extraction technique. A deep learning based method convolutional neural network classifier is used for the stratification of the extracted features. An accuracy of 89.5% and the training accuracy of 93.7% have been achieved after applying the publicly available data set.
Licence: creative commons attribution 4.0
Paper Title: STUDIES ON STANDARD CHANGES IN FREE ENERGY, ENTHALPY & ENTROPY DURING COMPLEX FORMATION OF SOME BIVALENT METALS WITH CHLOROBENZOYLTHIOACETOPHENONE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205706
Register Paper ID - 220372
Title: STUDIES ON STANDARD CHANGES IN FREE ENERGY, ENTHALPY & ENTROPY DURING COMPLEX FORMATION OF SOME BIVALENT METALS WITH CHLOROBENZOYLTHIOACETOPHENONE
Author Name(s): Hashmat Ali, Nishant Soren, Kunal Kumar
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g109-g121
Year: May 2022
Downloads: 280
Licence: creative commons attribution 4.0
Stability constant, Free energy, Enthalpy & Entropy
Paper Title: Dream Girl : ek Samekaha
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205705
Register Paper ID - 219742
Title: DREAM GIRL : EK SAMEKAHA
Author Name(s): Dr. Neelima Dubey
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g107-g108
Year: May 2022
Downloads: 288
???? ???? ?????? ?? ???? ????? ??? ???? ??? ????????? ????, ???? ???? ?? ????? ??? ?? ??? ???? ??? ????????, ??????? ? ??????????? ?? ?????? ??? ?? ???? ?? ???????? ?? ???? ?? ?? ???? ?? ???????
Licence: creative commons attribution 4.0
Paper Title: TRACING THE UNCANNY FROM GOTHIC TO ZOMBIE FICTION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205704
Register Paper ID - 220257
Title: TRACING THE UNCANNY FROM GOTHIC TO ZOMBIE FICTION
Author Name(s): SALAM TAKBIR CHOUDHURY
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g93-g106
Year: May 2022
Downloads: 298
Licence: creative commons attribution 4.0
uncanny, literary historiography, transaction, reception, location etc.
Paper Title: CYBERBULLYING DETECTION AND BLOCKING SYSTEM FOR ONLINE SOCIAL NETWORKS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205703
Register Paper ID - 220371
Title: CYBERBULLYING DETECTION AND BLOCKING SYSTEM FOR ONLINE SOCIAL NETWORKS
Author Name(s): M.Jayasri, K.Muthulakshmi, A.Sugandhini, K.Rajammal
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g88-g92
Year: May 2022
Downloads: 273
Licence: creative commons attribution 4.0
Cyberbullying, Online Social Networks, Intelligent systems.
Paper Title: INTELLECTUAL PROPERTY RIGHTS AND FORM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205702
Register Paper ID - 220350
Title: INTELLECTUAL PROPERTY RIGHTS AND FORM
Author Name(s): Dimple Marathe, Shaikh MD Shahzeb
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g80-g87
Year: May 2022
Downloads: 254
Intellectual property rights refers to the legal rights given to the inventor or creator to protect his invention or creation for a certain period of time. These legal rights confer an exclusive right to the inventor/ creator or his assignee to fully utilize his invention/ creation for a given period of time Patents, trademarks, copyrights, and trade secrets are valuable assets of the company and understanding how they work and how they are created is critical to knowing how to protect them.
Licence: creative commons attribution 4.0
intellectual property rights, trademark, copyright, patent, designs, geographical indication. ?
Paper Title: VOICE CONTROLLED ROBOTIC ARM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205701
Register Paper ID - 220151
Title: VOICE CONTROLLED ROBOTIC ARM
Author Name(s): Neha Sharma, Dr.Neeraj Kumar, Abhishek Tripathi
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g77-g79
Year: May 2022
Downloads: 303
Licence: creative commons attribution 4.0
Robotic Arm, Robots, Studies, Sensors, Motors.
Paper Title: CATENA DECENTRALIZED BANK
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205700
Register Paper ID - 220087
Title: CATENA DECENTRALIZED BANK
Author Name(s): Sibi Charavarthy P, Jeevithan S, Sidharthan J, Muralidharan R
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g72-g76
Year: May 2022
Downloads: 307
Decentralized financial applications enable users to perform financial transactions in a peer-to-peer fashion. Thus, it eliminates the risk of single point of failure and various other cyber threats such as Man in the middle attack. However, till date only the fundamental transactions and staking have been widely used in the crypto field when it comes to actual crypto banks. Hence, the proposed system aims at developing a stimulation of bank with extended functionality to make it as close to a real time bank as possible. The proposed system makes use of digital assets for this purpose rather than real world objects. It also supports user auctions. To demonstrate the use of the custom tokens of the bank, a course platform is introduced where the user can access the courses for free, but have to pay a certain amount of tokens to obtain certificate on course completion.
Licence: creative commons attribution 4.0
Decentralized Finance, Non-Fungible Tokens, Decentralized Lending System
Paper Title: EFFECT OF MEDITATION ON BREATH HOLD CAPACITY ON YOUTH
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205699
Register Paper ID - 220015
Title: EFFECT OF MEDITATION ON BREATH HOLD CAPACITY ON YOUTH
Author Name(s): Dr.Gautam Singh
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g64-g71
Year: May 2022
Downloads: 301
Licence: creative commons attribution 4.0
Meditation , Breath hold capacity, Treatment Group, Control group, Randomly.
Paper Title: TRACKING SYSTEM WITH THEFT CONTROL AND ACCIDENT INTIMATION THROUGH SMS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205698
Register Paper ID - 219926
Title: TRACKING SYSTEM WITH THEFT CONTROL AND ACCIDENT INTIMATION THROUGH SMS
Author Name(s): P.A.Nageswara Rao, P. Susmitha Bindu, Ch. Varshitha, P. Girish Kumar, G. Pavan Kumar
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g59-g63
Year: May 2022
Downloads: 290
As the usage of vehicles is increasing rapidly with the growing population the number of vehicle thefts are also increasing day by day. And also the number of deaths due to the accidents in the remote areas are also increasing. As accidents are one of the major causes of deaths the road safety has also became a challenging task. According to reports thousands of vehicles are being stolen every year and recovering of the vehicle had also became a tough job as most of the stolen vehicle parts are separated and sometimes they are sold to other persons as second hand vehicles. According to road accident report lakhs of accidents took place in the country every year. And hundreds of people are losing their lives everyday due to the accidents as there are not getting help at the right time. This project is used to provide solution for the vehicle theft situations and also to prevent the loss of lives due to accidents in the remote areas.
Licence: creative commons attribution 4.0
Vehicle theft, accident, Arduino, GSM, GPS
Paper Title: CLASSIFICATION OF APNEA-HYPOPNEA EVENTS AND SLEEP-WAKE IN SUBJECTS WITH OBSTRUCTIVE SLEEP APNEA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205697
Register Paper ID - 219919
Title: CLASSIFICATION OF APNEA-HYPOPNEA EVENTS AND SLEEP-WAKE IN SUBJECTS WITH OBSTRUCTIVE SLEEP APNEA
Author Name(s): Bijoylaxmi Koley
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g52-g58
Year: May 2022
Downloads: 298
This paper presents an automatic method for obstructive sleep apnea screening and sleep (SL) - wake (WA) stages classification based on the whole night PSG (polysomnography) recording of subjects with sleep-disordered breathing during sleep. The proposed algorithm can identify apnea (AP), hypopnea (HY), and Onset of apnea (OA) events within a period of a respiration cycle. In this work, underlying dynamics embedded in each physiological state (i.e., SL, WA) and different pathological events (AP, HY, and OA) are identified with the help of trajectory formed by assigning three signals, i.e., respiration, EEG, and ECG into three orthogonal axes. The spatial distribution of the trajectory is found to be varied with the different stages and different events of OSA subjects. The discriminating information regarding different stages and events is extracted from the spatial distributions by dividing the whole hyperspace into equal-sized subspaces. The persistence of the trajectory in a particular subspace found to be sensitive to the physiological state and different pathological events. Application of standard Bayesian classifier revealed its ability to discriminate different stages. An encouraging detection accuracy of 95.28% is observed across all the subjects.
Licence: creative commons attribution 4.0
Apnea-Hypopnea Events, Bayesian classifier, sleep-wake, trajectory.
Paper Title: SEGMENTATION OF A BRAIN TUMOR USING A HYBRID CLUSTERING TECHNIQUE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205696
Register Paper ID - 219974
Title: SEGMENTATION OF A BRAIN TUMOR USING A HYBRID CLUSTERING TECHNIQUE
Author Name(s): M. Angel Shalini, Vishnu Prasath, S. Dineshkumar
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g45-g51
Year: May 2022
Downloads: 304
Because of the complicated structure of brain tumours, indistinct boundaries, and external influences such as noise, inferring tumour and edoema areas from brain magnetic resonance imaging (MRI) data remains difficult. This work proposes an effective hybrid clustering technique combined with morphological procedures for segmenting brain tumours to reduce noise sensitivity and increase segmentation stability. The following are the paper's main contributions: To begin, adaptive Wiener filtering is employed for denoising, then morphological processes are used to remove non-brain tissue, effectively lowering the method's noise sensitivity. Second, to segment images, K-means++ clustering is merged with the Gaussian kernel-based fuzzy C-means method. This clustering enhances the algorithm's stability while simultaneously lowering the sensitivity of the clustering settings. Finally, to acquire realistic representations of brain tumours, the retrieved tumour images are post processed utilising morphological procedures and median filtering. The suggested technique was also compared to other existing segmentation algorithms. The suggested algorithm outperforms the competition in terms of accuracy, sensitivity, specificity, and recall.
Licence: creative commons attribution 4.0
MRI, Kmeans, cluster, segmentation, morphological
Paper Title: EXPLICATING GENDER AND ELUCIDATING IDENTITY: INTERROGATING CONFLICTING (RE)-PRESENTATION OF FEMALE SELF IN NAMITA GOKHALE�S PARO: DREAM OF PASSION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205695
Register Paper ID - 219861
Title: EXPLICATING GENDER AND ELUCIDATING IDENTITY: INTERROGATING CONFLICTING (RE)-PRESENTATION OF FEMALE SELF IN NAMITA GOKHALE�S PARO: DREAM OF PASSION
Author Name(s): Divya Reddy
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g40-g44
Year: May 2022
Downloads: 294
Licence: creative commons attribution 4.0
Equality, Female, Gender, Identity, Performativity
Paper Title: REVIEW ON HERBAL DRUG USED AS ANTI TUBERCULOSIS AGENT
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205694
Register Paper ID - 220347
Title: REVIEW ON HERBAL DRUG USED AS ANTI TUBERCULOSIS AGENT
Author Name(s): Dhande Ajit Rajendra, Divase Mayur Vishwas
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g30-g39
Year: May 2022
Downloads: 267
Tuberculosis is the principle purpose of morbidity in modern-day generation and got here to existence many decades in the past and has emerged as pandemic sickness. the use of allopathic medicinal drug in complicated sickness like tuberculosis is related to the hassle of pass resistance and natural pills have proven to be simplest in this context. The exploration of cures for the a success attenuation of the morbid circumstance associated with tuberculosis is the need of the day.
Licence: creative commons attribution 4.0
Acalypha indica , Adhatoda vasica , Allium cepa , Allium sativum , Aloe vera , Tuberculosis , Mycobacterium .
Paper Title: CROP YIELD PREDICTION USING MACHINE LEARNING ALGORITHMS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205693
Register Paper ID - 220200
Title: CROP YIELD PREDICTION USING MACHINE LEARNING ALGORITHMS
Author Name(s): Dr Murali G, Bakka Hari Charan Reddy, Bharath V S, Dhanush S R, Dilip S
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g25-g29
Year: May 2022
Downloads: 324
India is an Agriculture based economy whose most of the GDP comes from agriculture and its allied sectors which accounts for 20% of total GDP. The motivation of this project comes from the increasing suicide rates in farmers which may be due to low yield in crops. Climate and other environmental changes have become a major threat in the agricultural field. Machine learning is an essential approach for achieving practical and effective solutions for this problem. Predicting yield of the crop from historical available data like weather, soil, rainfall parameters and historic crop yield. We aim to achieve this using the machine learning algorithm. We did a comparative study of various machine learning algorithms, i.e., ANN, K Nearest Neighbor, Random Forest, SVM and Linear Regression. In this project a mobile application will be developed which predicts the crop yield in general and also for a particular crop. Along with that, it will suggest to the user which crop to grow in that particular season.
Licence: creative commons attribution 4.0
Paper Title: IMPACT OF DIGITAL MARKETING ON CONSUMER BEHAVIOR IN FMCG INDUSTRY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205692
Register Paper ID - 219625
Title: IMPACT OF DIGITAL MARKETING ON CONSUMER BEHAVIOR IN FMCG INDUSTRY
Author Name(s): Kiran Gupta
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: g1-g24
Year: May 2022
Downloads: 369
The goal of this study is to determine the impact of digital marketing on FMCG product purchasing behaviour in Greater Noida. There are several studies revealing causes to use social media and to assist firms in gaining a competitive advantage in the move; however, few plan to think from the perspective of consumers. Over the last few years, social media has revolutionized the way businesses do business using computers online, and as a result, social media marketing has earned its own identity in the business world. There are numerous online social networking platforms that influence customer behaviour. Like Google+, LinkedIn, and YouTube, for example. Nowadays, practically all ages of consumers use social media, including college students, working-class individuals, and even the elderly. In today's world, social media has evolved into a powerful tool that consumers can utilize to make purchasing decisions. Consumers' lives have been altered by technological advancements. In general, customers have unique feelings that differ from what marketers believe. For example, what "brand interaction" via social media looks like to shoppers may differ from what marketers believe. Digital technology has become a vital element of society's daily lives, both professionally and personally. In India, consumer demand for FMCG products has risen as a result of digitization. In the virtual world, digital technology has provided an interactive source of platform where people may buy things and services. In a customer-oriented market environment, consumer purchase patterns are evolving at a faster rate. The rise of digital marketing trends is having a significant impact on consumer purchasing behaviour.
Licence: creative commons attribution 4.0
Digital Marketing, Online buying, Consumer behavior, FMCG products.
Paper Title: SURVEY ON DIABETES PREDICTION USING DIFFERENT MACHINE LEARNING APPROACHES
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205691
Register Paper ID - 218861
Title: SURVEY ON DIABETES PREDICTION USING DIFFERENT MACHINE LEARNING APPROACHES
Author Name(s): Dayananda R B, R Ramya, Vedavedya B H, Veera Sreenidhi, Venkatesh M N
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: f949-f953
Year: May 2022
Downloads: 318
Diabetes is an illness that is caused by a hormone called insulin in our body which when not functioning properly or not efficiently will raise the level of glucose in our body. There are many individuals who suffer from high blood sugar levels in their body which has a severe effect on other human organs. This condition is caused by an unhealthy lifestyle or food habits and lack of physical exercise. This will also lead to other complications such as coronary failure, blindness, urinary organ disease, etc. In such instances, the individual must visit a diagnostic center to collect their reports. Due to this, there is a loss of time and money in this process. As a solution for this problem, we can use Machine Learning methods to arrive at a solution to this issue, we have got advanced system mistreatment information processing that has got the potential to inform us whether the individual has got the disease or not. In addition to this, an early prediction of this disease will help in controlling it as well as be able to take precautions for its after-effects. Information withdrawal has the pliability to delete unseen data from a large dataset of diabetes information. The aim of our project is to predict illness in its early stages with better accuracy so that the risk factor is comparatively less. The model is based on methods such as Decision Tree, Random Forest, and Support Vector Machine algorithms.
Licence: creative commons attribution 4.0
Diabetes Disease Prediction, Support Vector Machine, Machine Learning, Random Forest, Decision Tree
Paper Title: COMPARING ALTERATION IN KNEE JOINT KINEMATICS DURING GAIT IN CHRONIC STROKE PATIENTS WITH AGE MATCHED INDIVIDUALS ON LEVEL SURFACE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205690
Register Paper ID - 220417
Title: COMPARING ALTERATION IN KNEE JOINT KINEMATICS DURING GAIT IN CHRONIC STROKE PATIENTS WITH AGE MATCHED INDIVIDUALS ON LEVEL SURFACE
Author Name(s): Prathmesh Wayadande, Drashti Niket Shah
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: f940-f948
Year: May 2022
Downloads: 260
Licence: creative commons attribution 4.0
Stroke, kinovea, knee joint kinematics, gait analysis.
Paper Title: FAULT DETECTION IN 3-PHASE UNDERGROUND SYSTEM USING ARDUINO AND IOT MODULE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205689
Register Paper ID - 220011
Title: FAULT DETECTION IN 3-PHASE UNDERGROUND SYSTEM USING ARDUINO AND IOT MODULE
Author Name(s): NAGESH KASHYAP P, MANISHA H R, NITHISH KUMAR D A, DHANALAKSHMI M M, Dr.ZUHAIB BAIG
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: f935-f939
Year: May 2022
Downloads: 349
This project proposes fault distance locator model for underground power cable using an Arduino uno microcontroller. The use of underground cables arises a problem of identifying the fault location and the distance of cable fault as it is not open to view as in case of overhead cable. Thus, the underground cable fault distance locator is developed to detect the exact fault location and the distance of underground cable fault from based station in kilometers as the system will detect the faulted cable on underground and will send the information to the control room by using IOT cloud. A 16x2 LCD display is connected to the microcontroller to display the information. In case of fault the voltage across series resistors changes accordingly, which is then fed to a microcontroller ADC pin to develop precise digital data to a programmed Arduino microcontroller that further displays exact fault location from base station in kilometers. Same information will update on IOT cloud. Incidents of underground cable faults in the distribution and power transmission system is unpreventable due to several reasons thus a rapid rectification and Therefore, automatic fault location is used to minimize the time to mend faults to make system reliable by figuring out the weak areas quickly which results into decreased restoration time and interruption.Proper fault locating and detecting approaches are required to diminish the intervention time fault and an improvement in reliability.
Licence: creative commons attribution 4.0
Keywords: Arduino UNO, Underground cable, fault, microcontroller, IOT, Cloud, LCD, reliability
Paper Title: NIOSOMES AS TARGETED DRUGS DELIVERY SYSTEM -AN OVERVIEW
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2205688
Register Paper ID - 220388
Title: NIOSOMES AS TARGETED DRUGS DELIVERY SYSTEM -AN OVERVIEW
Author Name(s): Chhaya Vinayak Atole, Jyoti Jawale
Publisher Journal name: IJCRT
Volume: 10
Issue: 5
Pages: f914-f934
Year: May 2022
Downloads: 282
The self assembly of non-ionic surfactant into vesicles was first reported in the cosmetic industry. In recent years, it has been discovered that these vesicles can improve the bioavailability of encapsulated drug & provide therapeutic activity in a controlled manner for a prolonged period of time, niosome are vesicles composed of non-ionic surfactant which are biodegradable relatively non- toxic more stable & inexpensive, an alternatives to liposomes. This review describes all aspects of niosome including their structure, components, types, the various methods of preparation, loading methods, characterization, their use by various routes of administration, its application in chemical drugs, protein drugs & gene delivery and many more .
Licence: creative commons attribution 4.0
Niosomes, structure, composition, non-ionic surfactant, types, methods of preparation, loading methods, application
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 5 | Month- May 2024)