Notice Board :

Call for Paper
Vol. 2 Issue 3

Submission Start Date:
MAR 01, 2021

Acceptence Notification Start:
MAR 10, 2021

Submission End:
MAR 25, 2021

Final MenuScript Due:
MAR 31, 2021

Publication Date:
MAR 31, 2021
                         Notice Board: Call for PaperVol. 2 Issue 3      Submission Start Date: MAR 01, 2021      Acceptence Notification Start: MAR 10, 2021      Submission End: MAR 25, 2021      Final MenuScript Due: MAR 31, 2021      Publication Date: MAR 31, 2021




Volume I Issue II

Author Name
Tarun Kumar Tripathi, Deepak Mishra
Year Of Publication
2020
Volume and Issue
Volume 1 Issue 2
Abstract
The movie success factors depend on the critics, storyline, heros, music etc. To predict the movie success various data mining and machine learning techniques such as GuassianNB, MultinomialNB, BernoulliNB, KNeighnorsClassifier, Decision Tree, Logistic regression has been developed but, in this work, we use random forest classifier for the prediction of movie success with reduced cost and schedule. The random forest classifier selects the dataset randomly from the available dataset and the generate the decision tree of the selected dataset and then apply the voting on the prediction results and whose score and accuracy will be maximum that will indicates the success of movie. For the sample of IMDb dataset, we use online resource of kaggle and the experimental results is generated from the widely used machine learning programming language Python which helps in the analysis of the proposed methodology. The performance of proposed methodology is measured using the parameters such as Scor
PaperID
2020/IJEASM/11/2020/1608

Author Name
Sami Ahmad, Kailash Patidar, Narendra Sharma, Rishi Singh Kushwaha
Year Of Publication
2020
Volume and Issue
Volume 1 Issue 2
Abstract
The number of diabetic patient is growing day by day and various causes has been discover to diagnosis the diabetes but early prediction of the cause is very indispensable to get rid of from this disease. Data Mining is a technique which plays an imperative role by unhidden the important data related to diabetes. These data can be utilized for rapid and improved clinical decision making for protective and suggestive medicine. This paper proposes a hybrid approach SVM classifier using KNN and GA technique which can effectively discover the effectual data to diagnose the diabetes disease. The simulation and experimental analysis of the propose approach is done using MATLAB toolbox and measuring parameter specificity, accuracy and sensitivity. The simulation results of proposed approach give improved value than the existing approach
PaperID
2020/IJEASM/11/2020/1609

Author Name
Amol Gupte, Vishal Firode
Year Of Publication
2020
Volume and Issue
Volume 1 Issue 2
Abstract
Designing a character for your animation may seem to be a piece of cake; however it is not as easy as you perceive it to be. Incorrect characteristics of your model are likely to attract failure. The researcher has put in efforts to provide few tips through his research in order to take a step towards improvisation of character modeling. He has discussed about some simple things which need to be a part of one's observation. The enhancement of such skills will only help animators/modelers to visualize their character in a much precise manner. While this process may not appeal to some, it is utmost important to get your character design right for conveying the intended message to the audience
PaperID
2020/IJEASM/11/2020/1610

Author Name
Viranchi Bhatt, Divyanshu Mishra, Shrikrishna Deshpande, Harshali Rambade
Year Of Publication
2020
Volume and Issue
Volume 1 Issue 2
Abstract
In contemporary times, there is an adequate requirement of coins in temples, buses, railway stations and various other obscure and remote places. Carrying bulk of coins is very laborious and gruelling and hence this is the pivotal thing to recognize and built a system which subsides human effort. This project is a prototype project which has solid future scope and based on this model one can build a huge system using this idea. Note will be placed on RFID scanner and then through all the internal process coin will turf out as per the need of user
PaperID
2020/IJEASM/12/2020/1611