Dubey Dhanraj ShevendrakumarSymbiosis Institute of Technology · Department of Mechanical Engineering
Dubey Dhanraj Shevendrakumar
Bachelor of Engineering
Research and Development
About
6
Publications
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Introduction
Dubey Dhanraj Shevendrakumar is a pioneering researcher in Mechanical Engineering with a specialization in Artificial Intelligence and Machine Learning. Completing his degree at the Symbiosis Institute of Technology, he has contributed significantly to optimizing HVAC systems and urban cooling rates using advanced machine learning techniques. Dubey's research, published in prestigious journals such as the International Journal of Sustainable Development and Planning and IEEE.
Publications
Publications (6)
This study focused on organizing and finding news articles from a large dataset using Natural Language Processing (NLP). In journalism, it's important to manage information effectively due to the increasing amount of data available. Clustering groups similar articles together, while retrieval helps find specific articles based on certain criteria....
Energy optimization is essential in the pursuit of a more sustainable future. In this research paper we describe implementation and comparison of optimization algorithms for reducing energy consumption in HVAC (Heating, Ventilation and Air Conditioning) Systems. We explore two categories of algorithms: swarm-based and physics-based. The swarm-based...
With the rise of climate control and indoor comfort, the HVAC (Heating, Ventilation, and Air Conditioning) industry grew rapidly in recent years but this widespread use of HVAC systems created environmental havoc in our environment, it added energy to greenhouse gas emissions and helped resource balances. To overcome these challenges, it is importa...
In response to the rapid urbanization and housing demands, there has been a shift from traditional courtyards to multi-story city structures. Unfortunately, this transition can significantly affect the local climate and overall comfort due to increased heat. To overcome these challenges, our proposed approach suggests implementing multi-objective o...
This poster, "Study on DBSCAN," provides a detailed overview of the Density-Based Spatial Clustering (DBSCAN) algorithm for noisy applications. In this brief presentation, the basic concepts, algorithm performance is clearly demonstrated. Through a practical example, demonstration on how DBSCAN identifies clusters and outliers in spatial data, prov...
It is common to utilize manufacturing equipment without a clear maintenance plan. Such a method typically results in unplanned downtime due to unforeseen breakdowns. By replacing parts frequently as part of scheduled maintenance, unplanned equipment failures are avoided. However, this results in more downtime and more expensive maintenance. Predict...
