Research Papers

Machine Learning based Hybrid Method for Surface Defect Detection and Categorization

This whitepaper proposes a holistic approach for Machine Learning driven defect detection and categorisation in Manufacturing industry!

Predicting Equipment Failure On SAP ERP Using Machine Learning Algorithms

This paper proposes an equipment reliability model designed by applying data extraction algorithm on equipment maintenance records residing in SAP application.

Supplier Evaluation Model On SAP ERP Using Machine Learning Algorithms

For business enterprises, supplier evaluation is of paramount importance. This white paper proposes a two-stage supplier evaluation model by integrating data from SAP application and ML algorithms.

Image Processing in Intelligent Character Recognition for Digitized Forms Processing

Image processing is widely used nowadays to get insights from Image Data. This research paper enlightens one such application of Image Processing in Intelligent Character Recognition which is automated extraction of data from handwritten forms in scanned jpg/png/tif format.

Intelligent System For Analyzing Sentiments of Feedback

This paper enlightens the way companies can design Intelligent System to understand their customers’ sentiments better to improve their experience, which will help the businesses change their market position.

Unsupervised clustering of articles

In this paper, an unsupervised approach for the automated tagging of articles in the Chinese language has been implemented. Unlike the English characters, Chinese characters do not make use of separators.

Hybrid Intelligent System

Hybridised intelligent systems are more adaptable to solving real-world complex problems. In this paper, an attempt has been made to show how a hybrid system involving fuzzy regression analysis and Bayesian Gaussian reasoning can be designed.

Hybrid Recommendation Engine

This paper describes an application of hybrid approach i.e. Collaborative Filtering with Content-based in providing relevant & timely article recommendations for a digital publisher.

Time Series Forecasting using Neural Networks

This paper highlights a comparison between different time series forecasting algorithms for forecasting noisy time series data. Neural networks based time series forecasting proved to be more accurate & robust.

Unsupervised Approach to Key-phrase Extraction

This paper enlightens the way unsupervised learning can be used to extract key-phrases for automated tagging of text, with significant accuracy.

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