MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

World University root node

School of Computer Engineering & Technology

Engineering and Technology

Lecture Notes in Networks and Systems

Recognition of Struck Out Words Using a Deep Learning Approach

Machine Learning Prediction if the Patient is at Risk of Undergoing Surgery Based on Preoperative Medical Reports

Hip-Hop Culture Incites Criminal Behavior: A Deep Learning Study

Communications in Computer and Information Science

Machine Learning-Based Psychology: A Study to Understand Cognitive Decision-Making

2022 IEEE Students Conference on Engineering and Systems, SCES 2022

Hand Gesture Recognition using YOLO Models for Hearing and Speech Impaired People

In the era of Big Data Analytics, information dissemination, data integrity, and identifying unique records from large pool of data poses a big challenge for analysts in entity matching and linking scenarios. Data ingestion from multiple sources of same real-world entity exhibits several data quality issues like redundancy, incorrectness, variations, etc. Also, there are data input errors like typographical/spelling mistakes as well as missing fields. In order to achieve entity resolution, uniqueness and eradicate data redundancy and improve the data quality issues, deduplication is the solution. India being a multi-lingual and multi-cultural country with vast demographic variations, there is a need to develop India-centric model for handling deduplication on various Indian structured data held by various authorities. This research proposes a novel approach catering to India-centric demographic variations, region-specific naming conventions, address standardization using a highly customizable and scalable deep learning approach, by customizing DeepMatcher algorithm along with a synthetic data generation tool reckoning Indian variations of names and addresses in a region-specific manner. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

A Novel Approach of Deduplication on Indian Demographic Variation for Large Structured Data

International Journal on Recent and Innovation Trends in Computing and Communication

A Database Forensic Approach to Detect Tamper Using B+-Trees

JEET

Project based learning methodology: An effective way of learning software engineering through database design and web technology project

Online interactive educational system for submission and evaluation of programming assignments

A user-friendly college recommending system using user-profiling and matrix factorization technique

Steganography using B+trees and LSB

Analysing recommendation of colleges for students using data mining techniques

Intelligent AI Assisted Psychological Disorder Analysis Using Sentiment Inference

Skin detection for forensic investigation

Using MongoDB for social networking website deciphering the pros and cons

Performance Analysis of Psychological Disorders for a Clinical Decision Support System