
Debnarayan Khatua- Ph.D.
- Professor (Assistant) at Vignan University
Debnarayan Khatua
- Ph.D.
- Professor (Assistant) at Vignan University
About
40
Publications
12,483
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219
Citations
Introduction
Current institution
Additional affiliations
March 2011 - present
Global Institute of Science and Technology
Position
- Professor (Assistant)
Education
October 2016 - November 2019
Publications
Publications (40)
In this paper, a fuzzy optimal control model for substitute items with stock and selling price dependent demand has been developed. Here the state variables (stocks) are assumed to be fuzzy variables. So the proposed dynamic control system can be represented as a fuzzy differential system which optimize the profit of the production inventory contro...
In this article, we have proposed a new approach on the stability of a fuzzy dynamical system (FDS). Initially, we tried interval mathematics on FDS to check the stability. But when the interval mathematics fails, we have applied the quasi-level-wise system using the operators "e" and "g" and it appears that, this is the best technique to convert t...
In this study, we have introduced a fuzzy dynamic optimal control model of process–product innovation with learning by doing. The firm’s cost functions of product and process innovation depend on investment in both the innovations and the gathering of knowledge of product and process innovation. In this model, the product price, and the investments...
The pandemic coronavirus has explored all over the world with a devastated negative impact on humanity indeed. The epidemic virus has dynamic genetic diversity that has never been encountered earlier. The mortality rate of the disease is increasing rapidly as the approved drug is not available yet. Only isolation from the infected individual or com...
Solving math word problems of varying complexities is one of the most challenging and exciting research questions in artificial intelligence (AI), particularly in natural language processing (NLP) and machine learning (ML). Foundational language models such as GPT must be evaluated for intelligence, and solving word problems is a key method for thi...
India is home to a diverse population that lives in many different locations, the great majority of which are located in rural areas. Unfortunately, the power in these outlying communities is often unreliable, which has a detrimental impact on the residents' daily lives. To solve this problem and improve the power situation, plugging in renewable p...
The effective management of heat transfer processes is critical in various engineering applications, including thermal management systems and advanced cooling technology. Nanofluids, with their distinct thermal properties, present significant opportunities for improving heat transmission. The Arrhenius activation model is used to investigate the th...
The present article proposes the deep learning concept termed ―Faster-Region Convolutional Neural Network‖ (Faster-RCNN) technique to detect cracks on road for autonomous cars. Feature extraction, preprocessing, and classification techniques have been used in this study. Several types of image datasets, such as camera images, faster-RCNN laser imag...
Due to technological advancements, the healthcare industry has witnessed the emergence of innovative solutions, and one such solution is the healthcare Chatbot. The primary objective of this paper is to create a healthcare Chatbot capable of offering medical assistance to patients. The healthcare Chatbot serves as an AI-based conversational program...
This study explores the world of nanostructured materials and new production procedures, revealing how they interact to break down obstacles in materials research. We uncover the confluence between theoretical goals and actual reality by investigating manufacturing processes. The study links manufacturing processes to material characteristics, esta...
Predictive medicine for a holistic and proactive approach to health management is steadily replacing the reactive healthcare model as the dominant paradigm in the twenty-first century. The Ayurvedic medical system, which incorporates all parts of predictive medicine, divides people into seven constitution types, or Prakriti, to help practitioners d...
One of the most challenging and exciting research questions in the various branches of artificial intelligence (AI), such as natural language processing (NLP), machine learning (ML), etc., today is how to solve math word problems of varying complexities Word problem-solving ties together the cognitive domains of language processing, language compre...
The pandemic SARS-CoV-2 has become an undying virus to spread a sustainable disease named COVID-19 for upcoming few years. Mortality rates are rising rapidly as approved drugs are not yet available. Isolation from the infected person or community is the preferred choice to protect our health. Since humans are the only carriers, it might be possible...
In precision medicine, there has been a paradigm shift, from a population average based one-size-fits all, to an individualized approach. The aim is to tailor a medicine according to an individual’s genetic make-up and response to drug, diet, and environment. Machine learning algorithms are being developed to dissect inter-individual variability in...
In this chapter, we have demonstrated different aspects and development for the study of visceral leishmaniasis. People around the world assumed that the world is free from the disease, but some recently found cases indicate the existence of the disease in the world. We have also tried to circumvent different challenges and future scopes of the stu...
The recent global pandemic of SARS-CoV-2 (COVID-19) disease has prompted many
researchers to formulate lock-down and quarantine scenarios while the main concern
of the researchers is to model the spread and the possible duration of the COVID-19
infections and also research on how long this is going to last. It seems that most of
the researchers hav...
In precision medicine, there has been a paradigm shift, from a population average based one-size-fits all, to an individualized approach. The aim is to tailor a medicine according to an individual’s genetic make-up and response to drug, diet, and environment. Machine learning algorithms are being developed to dissect inter-individual variability in...
Application of typical Mamdani fuzzy inference system (MFIS) in power system protection has become a common artifact nowadays. The proposed articles on fuzzy logic-based protection initially designed the controller using typical MFIS. The related works mostly followed centroid defuzzification method. It is observed that the defuzzification method g...
Nowadays, it is very often that some portion of the Indian traction system is still suffering from a single line railway transportation. This in turn creates a havoc disturbance in maintaining the proper sequence of traction control system. Also, passengers are taking risk to catch the train which is already in motion but no such action has been ta...
Since the last few decades, the prey-predator system delivers attractive mathematical models to analyse the dynamics of prey-predator interaction. Due to the lack of precise information about the natural parameters, a significant number of research works have been carried out to take care of the impreciseness of the natural parameters in the prey-p...
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This paper deals with a single period fuzzy production inventory model with the assortment items in a finite time horizon. Here, we tried to implement the preservation technology for decreasing the deterioration rate and control the preservation cost of the deteriorated products. In harmony with the real-life uncertain production inventory system,...
The recent global pandemic of SARS-CoV-2 (COVID-19) disease has prompted many researchers to formulate lock-down and quarantine scenarios while the main concern of the researchers is to model the spread and the possible duration of the COVID-19 infections and also research on how long this is going to last. It seems that most of the researchers hav...
The pandemic coronavirus has explored all over the world with a devastated negative impact on humanity indeed. The mortality rate of the disease is increasing rapidly as the approved drug is not available yet. Only isolation from the infected individual or community is the only choice to save our existence. As the human is the only carrier so in th...
In Electrical Engineering the term protection is a vital issue since long time ago. The numerous numbers of papers have been found on application of intelligent system for different protection schemes. Many of the papers have been found on simulation results only. In some cases it has been found that to interface with the real world input a PC is m...
In this paper, we construct a fuzzy inventory system with imperfect production control. Here we introduce the rate of change of inventory level as a fuzzy dynamical equation (FDE). We consider a exponentially time dependent initial demand function and the total demand function is advertisement dependent and depends also on the inventory level of th...
Nowadays, it is very often that some portion of the Indian traction system is still suffering from a single line railway transportation. This in turn creates a havoc disturbance in maintaining the proper sequence of traction control system. Also, passengers are taking risk to catch the train which is already in motion but no such action has been ta...
The pandemic coronavirus has explored all over the world with a devastated negative impact on humanity indeed. The epidemic virus has dynamic genetic diversity that has never been encountered earlier. The mortality rate of the disease is increasing rapidly as the approved drug is not available yet. Only isolation from the infected individual or com...
A green supply chain(GSC) model with two plants facilities is formulated under uncertain environment. At first suppliers receive the deteriorating items in a lot and supplies the fresh units to manufacturer for production. Manufacturer has two plants: plant-1 and plant-2. Manufacturer purchases these fresh raw materials at a constant rate from supp...
A green supply chain (GrSC) model with two plants facilities is formulated under uncertain environment. At first suppliers receive the deteriorating items in a lot and supplies the fresh units to manufacturer for production. Manufacturer has two plants: plant-1 and plant-2. Manufacturer purchases these fresh raw materials at a constant rate from su...
In our modern society, a matter of controversy is always alive with an immortal question about the existence of spirituality and relation of it with science. Prof. Mani Bhaumik"s recent work on "Vedanta" and "Upanishad" shows that, spirituality and science meet at the end of the study. Our Indian philosophy is always carrying this truth from ancien...