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

Engineering and Technology

In an agricultural country like India farmer's contribution is very vital. Though a lot of work is going on to increase the yield quality, security of the crops is also the question on the front because if the crops are destroyed or damaged due to animals or thefts the farmers are helpless. Hence we propose a system to help a farmer to identify where an animal or thief has entered the field using Fuzzy Classification. In machine learning many classifiers are there like Neural network, Convolutional neural network, Probabilistic approach, K-nearest neighbor, SVM, etc. But little literature is found on Fuzzy classifiers. Hence we introduce here an approach to classify the images of farm at fencing with and without animals using Fuzzy systems. © Grenze Scientific Society, 2022.

School of Electronics & Communication Engineering

World University root node

13th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2022

Farm Security with Fuzzy Classification - An Approach

School of Computer Engineering & Technology

2022 IEEE International Conference on Blockchain and Distributed Systems Security, ICBDS 2022

Virtual Mouse Using Hand Gesture Recognition - A Systematic Literature Review

Studies in Computational Intelligence

Deep Reinforcement-Based Conversational AI Agent in Healthcare System

School of Mechanical Engineering

Materials Today: Proceedings

Heat transfer enhancement of an internally and externally dimpled pipe heat exchanger – Numerical study

Noise and Vibration Worldwide

Optimization for squeak and rattle reduction using vibration analysis of passenger car door trim

Proceedings - International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022

A Comparison of Oversampling and Undersampling Methods for Predicting Air Quality in Metropolitan Region

Web Intelligence

Big data clustering using fractional sail fish-sparse fuzzy C-means and particle whale optimization based MapReduce framework

School of Petroleum Engineering

Journal of Integrated Science and Technology

Effects of blending bioethanol with gasoline on spark–ignition engine – A review

Abstract—: “MODI lipi” is one of the Indian ancient scripts and is as yet unrecognized script. It is not in use today, but it has importance for historical researchers of not only the ancient Maratha history but history in different regions of India. The recognition of MODI demands transform invariant approach, as MODI documents are deformed severely. Invariant handwritten character recognition is accomplished in the past by employing feature extraction methods, yet there is a scope to improve the results under global transformations. At present, convolutional neural network exhibits only local transform invariance impulsively by convolution-pooling architecture and data augmentation. To achieve global invariance for MODI recognition, the proposed classification framework used CNN-based transfer learning and a global feature extractor histogram of oriented gradient. Additionally, the criterion based on principal component analysis and confusion matrix are introduced to choose the invariant feature and to find classes responsible for poor recognition rate. The proposed classifiers are trained on a self-created handwritten MODI character dataset and tested on transformed MODI dataset. The results showed that the proposed framework is effective to recognize MODI handwritten characters under transformations without data augmentation and network alteration. © 2022, Pleiades Publishing, Ltd.

Pattern Recognition and Image Analysis

Convolutional Neural Network and Histogram of Oriented Gradient Based Invariant Handwritten MODI Character Recognition

Buzzwords like Industry 4.0, the Internet of Things (IoT) and cyber physical systems have been developed recently to describe future industrial systems (CPS). While Industry 4.0 and similar technologies have many potential manufacturing advantages, the great majority of these innovations are established for and/or by large companies. But there is a failure to understand about how these technologies are implemented in businesses today. As a result, we want to learn more about the patterns of adoption of Industry 4.0 technologies in manufacturing and production companies. In this paper, we explore if production organisations can be organised based on Industry 4.0 adoption trends and how these patterns allow the definition of certain industrial 4.0 technology configurations. Such study helps us to understand what is necessary for the proper adoption in manufacturing and production enterprises of such technologies. We present a study of the analysis of manufacturing and manufacturing businesses in the machines and appliances industry. © 2021

Implementation of IoT in production and manufacturing: An Industry 4.0 approach