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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 8 | Month- August 2026

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  Paper Title: VENTURE CAPITAL AND ITS IMPORTANCE IN INDIAN CONTEXT .

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106204

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106204

  Register Paper ID - 208539

  Title: VENTURE CAPITAL AND ITS IMPORTANCE IN INDIAN CONTEXT .

  Author Name(s): Dr. Brajesh Srivastava

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b594-b600

 Year: June 2021

 Downloads: 1580

 Abstract


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Venture capital , Finance, Investment , Business .

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  Paper Title: FAULT DETECTION SYSTEM OF TRANSMISSION LINE USING IOT

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106203

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106203

  Register Paper ID - 208427

  Title: FAULT DETECTION SYSTEM OF TRANSMISSION LINE USING IOT

  Author Name(s): Akash Chatterjee, Avijit Maitra, Biswarup Saha, Debopam Chakraborty, Mouli Karmakar, Sandipan Ganguly , Tiyasha Patra , Suparna Paul, Indranath Sarkar

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b588-b593

 Year: June 2021

 Downloads: 2094

 Abstract

Identification of fault source in the transmission line has been proposed in this paper by programming Arduino UNO Microcontroller. Fast fault detection protects connected equipment by detecting and suppressing the spurious signal before any significant damage. Transmission line protection is the main objective of this project in the power system about 80-85% fault suppression. LM 317 used in a circuit that provides variable output voltage for the connected load. Output voltage adjusted by rotating potentiometer. Potentiometer is used to increase clear display through LCD. Connecting the network of resistors, the Arduino measures voltage and current. Received high voltage back EMF from the relay coil switching the relay ON and OFF and protects the sensitive load.


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 Keywords

IoT, Fault localization, Relay Switch, Transmission line.

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  Paper Title: TRAFFIC SIGN DETECTION AND RECOGNITION USING OPEN CV

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106202

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106202

  Register Paper ID - 208472

  Title: TRAFFIC SIGN DETECTION AND RECOGNITION USING OPEN CV

  Author Name(s): Aarushi Mittal, Prince Chugh

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b583-b587

 Year: June 2021

 Downloads: 1450

 Abstract

This paper reviews the method for traffic sign detection and recognition. In the section on learning-based detection, we review the Viola Jones detector and the possibility of applying it to traffic sign detection. The recognition of the detected traffic sign is handled by the Histogram of Gradient based SVM classifier. Together this system is expected to perform much better than the other systems available. The algorithms when trained with proper set of images have been noted to perform accurately. This must hold true for the traffic signs as well under different color, lighting, atmospheric conditions.


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OpenCV, Haar features, Cascades classification, Machine Learning, Histogram of Gradient, Cascade Training, SVM, KNN, Feature matching.

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  Paper Title: VOICE CONTROLLED WHEEL CHAIR SYSTEM USING BLUETOOTH

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106201

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106201

  Register Paper ID - 208459

  Title: VOICE CONTROLLED WHEEL CHAIR SYSTEM USING BLUETOOTH

  Author Name(s): Pranita Medhe, Nikita Desai, Akash Patil, Sonali Misal, Snehal Khot, Mr.Arvind Bhandari

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b580-b582

 Year: June 2021

 Downloads: 1480

 Abstract

The main objective of VOICE CONTROLLED WHEEL CHAIR SYSTEM project is recommended to c0ntrol a wheel chair by using speech recogniti0n. The system is designed to c0ntrol a wheel chair using the v0ice of pers0n. The 0bjective of this pr0ject is to facilitate the movement of people, who are disable or handicapped and elderly people who are not able to move well. The g0al of this system will all0w certain people t0 live a life with less dependence 0n others for their movement as a daily need. Speech rec0gnition techn0l0gy is a key techn0l0gy which will provide a new way of human interaction with machine or tools.


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Android Application ,Wheel chair, physically challenged, ultra sonic Sensor, voice command ,HC-05 Bluetooth module, DC motors ,Arduino UNO micro-controller.

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  Paper Title: CONTROL ALGORITHM FOR THREE-PHASE, FOUR-WIRE UNIFIED POWER QUALITY CONDITIONER

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106200

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106200

  Register Paper ID - 208533

  Title: CONTROL ALGORITHM FOR THREE-PHASE, FOUR-WIRE UNIFIED POWER QUALITY CONDITIONER

  Author Name(s): Mr. Sudarshan G. Hadkar, Prof. Ashish V.Harkut, Prof. Parag R. Jawale

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b577-b579

 Year: June 2021

 Downloads: 1424

 Abstract

A simplified control algorithm for a three-phase, four-wire unified power quality conditioner (UPQC) is presented to compensate for supply voltage distortions/unbalance, supply current harmonics, the supply neutral current, the reactive power and the load unbalance as well as to maintain zero voltage regulation (ZVR) at the point of common coupling (PCC). The UPQC is realized by the integration of series and shunt active filters (AFs) sharing a common dc bus capacitor. The shunt AF is realized using a three-phase, four leg voltage source inverter (VSI) and the series AF is realized using a three-phase, three leg VSI. A dynamic model of the UPQC is developed in the MATLAB/SIMULINK environment and the simulation results demonstrating the power quality improvement in the system are presented for different supply and load conditions.


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 Keywords

Active Filter, Harmonics, Reactive Power, Unbalance, UPQC, Voltage Regulation

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  Paper Title: SPAM TEXT CLASSIFICATION

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106199

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106199

  Register Paper ID - 208462

  Title: SPAM TEXT CLASSIFICATION

  Author Name(s): Sowmya Racha, Sai Kiran Maggidi, Dr. Sunil Bhutada

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b570-b576

 Year: June 2021

 Downloads: 1403

 Abstract

The Internet has changed the way of communication. Out of each type of communication, e-mails are more likely to be exploited. Messages, instant text messages, and online messages visiting have become a vital part of our lives. Spamming has become a threat that negatively affects e-mail. E-mail threats are an extremely significant issue in today's life. Also, many consequences are likely to cause productivity loss, occupy memory in mailboxes, viruses threat, and materials containing harmful information for a specific category of users. Destroy the stability of mail servers. As a result, users spend much time sorting incoming mails and deleting undesirable correspondence. Most of the time, spam calls are the aim of advertisements. While this helps to extend customers, it's often unwanted communication to several of us. While reaching consumers in a sizable amount so that the overall public presentation of their information could seem harmless, it's essential to recall that spam messages, in many cases, include non-commercial propagation or prohibited content. These can put the customer at the receiving end in peril.


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 Keywords

Spam Messgaes, Spamers, Deep Learning, Machine Learning Algorithm, Accuracy.

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  Paper Title: DESIGN OF IOT BASED SMART RATION DISPENSING SYSTEM USING LOADCELL FEEDBACK TO PREVENT RATION FRAUDULENCE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106198

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106198

  Register Paper ID - 208485

  Title: DESIGN OF IOT BASED SMART RATION DISPENSING SYSTEM USING LOADCELL FEEDBACK TO PREVENT RATION FRAUDULENCE

  Author Name(s): Shivaanivarsha N, Vigita S, Santhini V

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b563-b569

 Year: June 2021

 Downloads: 1445

 Abstract

The present system for Ration shops has many disadvantages. They have low processing speed. They have less man power, so the filling and the packing of products takes a lot of time. And some of the ration dealers weigh the products less compared to what was requested by the customer. This paper aims in providing an automatic filling machine which fills all the products requested by the customer, simultaneously, thus reducing the time consumed per customer. This machine works on the feedback of loadcell, which provides high weight accuracy, thus eliminating the risk for the customers getting cheated.


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 Keywords

Loadcell, ESP8266, Servomotor, Ultrasonic sensor, ESP8266 webserver

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  Paper Title: SURVEY PAPER ON DIFFERENT TYPES OF PREDICTION ALGORITHM FOR AIR QUALITY INDEX AND COMPARATIVE STUDY ON TYPES OF ALGORITHMS USED

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106197

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106197

  Register Paper ID - 208560

  Title: SURVEY PAPER ON DIFFERENT TYPES OF PREDICTION ALGORITHM FOR AIR QUALITY INDEX AND COMPARATIVE STUDY ON TYPES OF ALGORITHMS USED

  Author Name(s): Diana George, Jayakrishnan.R, Sam G.Benjamin, ManoLekshmi.I

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b557-b562

 Year: June 2021

 Downloads: 1376

 Abstract

Air pollution is considered to be a major concern of the day.Many researches has been demonstrated on various fields on regarding air pollution and seeking a stable solution for the problem.Early prediction of air quality and to make it avail and aware to the society being an important aspect.This survey paper present about various machine learning algorithms for Air Quality Index Prediction and in-depth analysis of most relevant machine leaning algorithms available on the literature survey .The discussed techniques are Neural Networks, fuzzy a system, Support Vector Machine, Support Vector Machine for regression, fuzzy logic, Decision Trees, K-Nearest Neighbor,Naive Bayes,Random forest and Decision Trees.We are working on the algorithm with best accuracy.This will help the Government ,environmentalist and the general public to make the plans best.


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Machine Learning, Prediction, Classification Technique, Decision Tree, Accuracy,Random forest.

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  Paper Title: AUGMENTING NETWORK INTRUSION DETECTION SYSTEM USING EXTREME GRADIENT BOOSTING(XGBOOST)

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106196

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106196

  Register Paper ID - 208495

  Title: AUGMENTING NETWORK INTRUSION DETECTION SYSTEM USING EXTREME GRADIENT BOOSTING(XGBOOST)

  Author Name(s): R.Vijay, S.Manoj, V.P.Ravi Kanth, Y.Vikas, Dr.P.Indira Priyadarshini

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b550-b556

 Year: June 2021

 Downloads: 1471

 Abstract

There is a high rise in the design on the utility of Internet technological innovation functioning day by functioning day. This amazing improve ushers in a huge volume of info produced as well as handled. For apparent great factors, undivided focus is thanks for guaranteeing group security. An intrusion detection system plays an important role in the spot of the earlier mentioned protection. The detection of protection associated operates by utilizing Machine Learning (ML) is extensively investigated. Intrusion Detection Systems (IDSs) are safety aids used to determine malicious activity. Network Intrusion Detection Systems (NIDS) are among most well-known contexts of machine learning software program in the security region. IDSs is generally categorized working for lots of criteria. One of these basic- Positive Many Meanings- crucial components is the detection tactic, around terminology of what IDSs (and NIDSs) is signature-based or anomaly-based often. The former group detects attacks by checking out the info flow below analysis to patterns stashed at bay inside a signature site of recognized attacks. The later detects anomalies dealing with a sort of typical behaviour of monitored phone system and also flagging activity resting outside of the item as anomalous or suspicious. Signature-based IDSs can determine trendy hits with too much precision but do not recognize or perhaps search for new hits, while anomaly based IDSs have that ability. In this specific task we focus on anomaly-based society intrusion detection by employing XGBoost algorithm on KDD CUP 1999 info positioned to get the ideal outcomes. XGBoost is a fairly recently accessible machine learning strategy that is been operating boosting interest. It gotten Kaggle's Higgs Machine Learning Challenge, about different Kaggle competitions, because of the general functionality of its. The match procedure was constructing a method intrusion detector, a predictive model good at distinguishing between "bad" connections, referred to as intrusions or hits, as well as "good" everyday connections. This specific site features a normal variety of info being audited, incorporating an array of intrusions simulated inside a military neighborhood atmosphere. The very first KDD Cup 1999 dataset offered by UCI Machine Learning repository features forty-one qualities (thirty-four constant, and 7 categorical) and also offers 3,925,651 attacks (80.1 %) outside of 4,898,431 papers. The whole goal is studying the integrity of info and in addition have a much better accuracy in the prediction of info. In that manner, the volume of mischievous info drifting in a method might be reduced, making the network a secured area to transfer info. The more secure a channel is, the less instances where data might get hacked or manipulated.


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 Keywords

XGBoost,Intrusion,Anomaly,Signature.

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  Paper Title: DOMESTIC VIOLENCE: A CRIME AGAINST WOMEN

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106195

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106195

  Register Paper ID - 208295

  Title: DOMESTIC VIOLENCE: A CRIME AGAINST WOMEN

  Author Name(s): Dr. Ritu Agarwal

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b546-b549

 Year: June 2021

 Downloads: 1464

 Abstract

Abstract: Domestic violence is one of the crimes against women which might be related to their disadvantageous position in the society. Domestic violence refers to violence against women specially in matrimonial homes. The hassle is grossly under-reported. A range of causes were blamed for crimes against women. An inefficient law implementing agencies has frequently been jogged for the growing range of instances being reported. Also, psychiatric morbidity can perpetuate such crimes.?The act of domestic violence toward women is a?human rights violation?in addition to an illegal act under?law. It is consequently extensively taken into consideration a threat to women's rights via any lens. Greater gender equality can be accomplished if fundamental health needs are met and if cultural biases that permit for domestic violence in India stops. Women go through many types of physical and emotional?abuses?because of cruel, heinous and unlawful activities that happens with them in their homes. It has been seen through researches that women who've experienced domestic violence have a tendency to have more long-term mental problems and drug dependencies than others who do not face such problems. Domestic violence is greater in women belonging to low socio-economic status.?In India, decreasing domestic violence is vital not only from an ethical and human rights perspective but also due to apparent instrumental health benefits that might be gained from such reduction.


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Key Words: Domestic Violence, Crime, Women, Causes, Consequences, Laws

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  Paper Title: TREATMENT OF CAR WASH WATER USING ELECTROCOAGULATION, CHEMICAL AND BIOLOGICAL PROCESS - A COMPARATIVE STUDY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106194

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106194

  Register Paper ID - 208526

  Title: TREATMENT OF CAR WASH WATER USING ELECTROCOAGULATION, CHEMICAL AND BIOLOGICAL PROCESS - A COMPARATIVE STUDY

  Author Name(s): Sowmiya S, Ravathi M C

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b538-b545

 Year: June 2021

 Downloads: 1517

 Abstract

Waste water generated from car wash service station contributes to majority of environmental contamination because of the chemical characteristics present in the car wash water. This research work compares the effectiveness of treating car wash water collected from car wash station located in Coimbatore using naturally available water hyacinth, chemical(alum) and electrocoagulation (Cu - Cu, Cu - Al, Al - Al) method. Different parameters like pH, turbidity, Chemical oxygen demand, oil and grease, total organic carbon were characterized for the collected car wash water. Oil and grease, Chemical oxygen demand contributes to majority of pollution. Experimental results show that electro coagulation method have better removal efficiency of oil and grease, Chemical oxygen demand and turbidity. Maximum Chemical oxygen demand removal efficiency of 61% and oil and grease removal efficiency of 70% has been attained by electro coagulation method. Water hyacinth has also shown a good result with Chemical oxygen demand removal efficiency of 50% and oil and grease removal efficiency of 54.5%. Electrocoagulation method has been found to give better results for the treatment of car wash water.


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Electrocoagulation, turbidity, Chemical oxygen demand, oil and grease, Total organic carbon, car wash water.

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  Paper Title: HOW MANY PEOPLE USE SOCIAL MEDIA & THEIR EFFECTS ON SOCIETY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106193

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106193

  Register Paper ID - 208488

  Title: HOW MANY PEOPLE USE SOCIAL MEDIA & THEIR EFFECTS ON SOCIETY

  Author Name(s): Mr. Aditya S. Pawar, Mr. PRASAD K. HARDAS,, Mr. VIRAJ P. DEORE, Mr. ALAN ABHISHEK P. THOMAS

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b533-b537

 Year: June 2021

 Downloads: 1519

 Abstract

Social media is a new and accelerating phenomenon that has to begin its jump in the 21st century. What is social media? It is a way that lets the user interact with many other users over the internet and participate in social networking activities for fun and also functions in professional use, aids in information gathering. The kick start for social media can begin with the invention of the World Wide Web which is credited to Sir Tim Berners Lee that led to the formation of various other search engines and other social media sites such as Facebook YouTube Instagram and many others. In 2021 there were 3.96 billion active users of social media and that began with the first social networking site that was called 'six degrees.com'. But just like a coin social media has two sides on one hand it provides entertainment, knowledge gain, advertising, various jobs and industries. On the other hand, they can cause mental fatigue (if used excessively )along with physical health issues, it can also lead to the propagation of fake news and propaganda and a major issue is cyberbullying along with privacy issues that can be harmful in various ways. Social media is a whole different world that has its flaws and boons, and to be honest, it may not be possible to categories 'social media as a good thing or bad. Therefore we can conclude that proper care should be given towards social media (the whole internet too) so that we can be safe and healthy while using them.


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Social media, 3.96 billion active users, side effects.

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  Paper Title: BLOCKCHAIN BASED ADAPTIVE TRUST MANAGEMENT IN INTERNET OF VEHICLES USING SMART CONTRACT

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106192

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106192

  Register Paper ID - 207870

  Title: BLOCKCHAIN BASED ADAPTIVE TRUST MANAGEMENT IN INTERNET OF VEHICLES USING SMART CONTRACT

  Author Name(s): HARINI S, AROCKIA SNEHA S, KAVIYA B, C. Vijayalakshmi

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b529-b532

 Year: June 2021

 Downloads: 1488

 Abstract

The Internet of Vehicles (IoV) provides the concept of coordination of vehicles for enhancing safety of both the driver and the vehicle and also increasing transportation performance. Vehicles are coordinated for avoiding collisions by communicating their positions when they become closer. The information about location is identified by their geographical positions or the ones in road maps. The system can also be made efficient by informing about traffic jams by sharing their locations and destination. In this way, traveling time can be reduced. However, IoV also have some security challenges, such as keeping safe from virtual hijacking. To avoid this, vehicles should detect and avoid the hijacked vehicles ignoring their communications. This system presents a technique for improving security by applying certain prioritization rules, using digital certificates, applying trust policies and incorporating them with block chain technology for detecting and avoiding hijacked vehicles. Based on trust values the corrupted messages are blocked by the system itself and broadcasting of fake messages is completely avoided, thereby enhancing the security.


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Internet of Vehicles (IoV), VANET, Broadcasting messages, RSU, V2V communications

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  Paper Title: A SURVEY ON DIAGNOSIS OF SKIN CANCER BASED ON IMAGE PROCESSING USING MACHINE LEARNING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106191

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106191

  Register Paper ID - 208385

  Title: A SURVEY ON DIAGNOSIS OF SKIN CANCER BASED ON IMAGE PROCESSING USING MACHINE LEARNING

  Author Name(s): Snehal Vijay Kamble, Dr. P.R. Gumble

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b523-b528

 Year: June 2021

 Downloads: 1546

 Abstract

In a human body, skin is the core part, which helps to cover the muscles, bones what's more with the entire body. These days numerous people are suffering from skin cancer. Malignant melanoma is the deadliest form of skin cancer. The most serious type of cancer is Melanoma, which is the enormous type of skin malignant growth and the extent of these skin cancer is increasing day by day. Melanoma can be easily treatable if detected in early stages. Clinical as well as automated methods are being used for melanoma diagnosis. Image-based computer aided diagnosis systems have great potential for early malignant melanoma detection. Recognizing the type of skin cancer automatically from the images can assist in the quick diagnosis and enhanced accuracy saving valuable time. This paper presents review on automated diagnosis of skin cancer by analyzing image using Image Processing techniques with applying intelligence using Machine Learning. The purpose of this bibliographic review is to provide researchers opting to work in implementing machine learning learning for cancer diagnosis a knowledge from scratch of the state-of-the-art achievements.


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Skin Cancer, Skin Lesion, Melanoma, Image Processing, Machine Learning

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  Paper Title: A FRAMEWORK TO ANALYSE DIFFERENT APPLICATION WHICH IS USED TO IDENTIFY ENCRYPTED MEDIA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106190

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106190

  Register Paper ID - 208493

  Title: A FRAMEWORK TO ANALYSE DIFFERENT APPLICATION WHICH IS USED TO IDENTIFY ENCRYPTED MEDIA

  Author Name(s): Shaminaz, Dr. Divya .T.L

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b513-b522

 Year: June 2021

 Downloads: 1476

 Abstract

Steganography Encryption is a technology which is used to hide any data or information as an embedded one within another file. Steganography was first used in 440BC. Its main purpose is to hide information from any third person. Data are hidden safely and for embedding data different tools are used where each tool uses different approaches to hide an information. This research is focused on how these technologies are misused by black hat hackers in order to make someone compromise his data and it is not a difficult task that any person who is master in hacking only can be done, it is something anyone can do that is why it is very difficult aspect to identify which image or audio or video is corrupted or embedded with malicious code.


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Steganography encryption, embedding data, malicious code, technology misused

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  Paper Title: SIGNCRYPTION AND ITS PERSPECTIVES FOR NETWORK SECURITY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106189

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106189

  Register Paper ID - 208475

  Title: SIGNCRYPTION AND ITS PERSPECTIVES FOR NETWORK SECURITY

  Author Name(s): Richa kunal Sharma, Dr. Nalini Kant Joshi

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b506-b512

 Year: June 2021

 Downloads: 1446

 Abstract


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 Keywords

DES, AES, Elliptic curve, Signcryption, Unsigncryption, Key generation, Asymmetric algorithms.

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  Paper Title: WATER WASTAGE IN THE AGRICULTURAL SECTOR

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106188

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106188

  Register Paper ID - 208482

  Title: WATER WASTAGE IN THE AGRICULTURAL SECTOR

  Author Name(s): Raghav Bansal, Ms. Nidhi Sengar, Ms. Vasudha Bahl, Dr. Amita Goel, Anamika Hans

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b503-b505

 Year: June 2021

 Downloads: 1430

 Abstract


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water, agriculture, IoT

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  Paper Title: ANALYSIS OF BANKS TOTAL FACTOR PRODUCTIVITY BY DISAGGREGATE LEVEL

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106187

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106187

  Register Paper ID - 208479

  Title: ANALYSIS OF BANKS TOTAL FACTOR PRODUCTIVITY BY DISAGGREGATE LEVEL

  Author Name(s): Bhadrappa Haralayya, P S Aithal

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b488-b502

 Year: June 2021

 Downloads: 1423

 Abstract

The banks astute profitability examination features that private segment banks are the main entertainer as far as efficiency development over the timeframe and being the essential area in the general development of economy, they are performing in mindful way pursued by their partners. It has likewise been discovered that TFP approach shows variety in profitability change, consequently, affirming the nearness of extreme challenge, great sound working condition and distinctive social destinations among the banks . It has additionally been finished up from the quartile portrayals of the efficiency of business banks that the banks present in the fourth quartile goes about as the benchmark for the under resourced ones. Out of three possession gatherings, the banks underneath the normal are inadequate as far as the efficiency in keeping money activities. Hence, these banks should attempt the examination of their tasks and the board arrangements therefore to wipe out flimsiness in the profitability development. These banks additionally have the potential for development as far as efficiency as these banks have the inclination of advancing toward the upper quartiles ceaselessly.


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Disaggregate level, Public sector banks, Private sector banks, Foreign sector banks.

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  Paper Title: PANCHAKARMA THERAPIES – A OUTLOOK IN MANAGEMENT OF VATAVYADHI

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106186

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106186

  Register Paper ID - 208517

  Title: PANCHAKARMA THERAPIES – A OUTLOOK IN MANAGEMENT OF VATAVYADHI

  Author Name(s): Dr Ankush Haushiram Gunjal, Dr Satish Digambar Urhe, Dr Tridev Arun Patil

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b485-b487

 Year: June 2021

 Downloads: 1459

 Abstract

Ayurveda is been in practice from ancient period for the management of various diseases related to mankind. It has its own approach for the management of the diseases based on concepts emerged as a result of observations and experimentation done by Acharayas. The basics described includes the Tridosha concept among which Vata Dosha is given the prime importance as it is essential for smooth functioning of body and for maintaining structural integrity of body elements. The Acharayas have described types of Vatavyadhi as Dhatukshayajanya & Margavrodhajanya. The Chikitsa varies according the type of Vatavyadhi i.e.Shamana & Shodhana. Panchakarma is mentioned as Shodhana Chikitsa Prakara which involves various therapeutic procedures beneficial in eliminating vitiated Vata and other Dosha in body resulting in permanent relief and non-recurrence of Vatavyadhis. So now a day Panchakarma therapies are being used worldwide in neuro-muscular and joint disorders which are correlated with Vatavyadhis mentioned in Ayurved classics.


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Vata Dosha, Vatavyadhi, Panchakarma, neuro-muscular and joint disorders.

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  Paper Title: SENTENCE COMPLETION USING NLP TECHNIQUES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2106185

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2106185

  Register Paper ID - 208010

  Title: SENTENCE COMPLETION USING NLP TECHNIQUES

  Author Name(s): Tanushree c hatmode, Prachi Y Duragkar, Radha H Khorgade, Ram B Jaiswal, Shubhashish S Charan

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 6

 Pages: b481-b484

 Year: June 2021

 Downloads: 1605

 Abstract

In this assignment, we plan to use and examine diverse strategies for automatic sentence finishing touch which consist of n-gram modeling, Latent Semantic Indexing and Recurrent Neural Networks. Results from the beyond studies reveal that the LSA version outperforms the traditional n-gram version fashions at the Microsoft Research Sentence Completion Challenge. The LSA version outperforms different non-neural community fashions. Hence, we are able to examine the consequences of the LSA version with RNN version and n-gram version to determine which ones play higher thinking about the size of the statistics. The strategies are first teach on a big corpus of un-annotated textual content, to then attempt to are expecting the lacking phrases within side the check set which includes hundreds of sentences wherein one phrase is lacking and 4 options for the lacking phrase.


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n-nlp , gram, rnn , lsa

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About IJCRT

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.


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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved.
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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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