Nidhika Yadav

Nidhika Yadav
Indian Institute of Technology Delhi | IIT Delhi · Department of Mathematics

PhD

About

46
Publications
2,433
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81
Citations
Citations since 2016
43 Research Items
81 Citations
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2016201720182019202020212022051015202530

Publications

Publications (46)
Preprint
Full-text available
Sentiment analysis has been a topic of many researches and interest. In this article, computational steps are shown and worked out to show, how we can have multiple centres in the sentiment classification task. This does not stop the existing works but provides more avenues to open research applications more. Conceptualize a 5-class classification...
Article
The present work proposes an application of Soft Rough Set and its span for unsupervised keyword extraction. In recent times Soft Rough Sets are being applied in various domains, though none of its applications are in the area of keyword extraction. On the other hand, the concept of Rough Set based span has been developed for improved efficiency in...
Preprint
Full-text available
We must be able to study the following parameters in understanding how harmful or non-harmful a variant of virus is using Artificial Intelligence. The aim is to predict the graph and severity of a virus using Artificial Intelligence tools. The following can be taken as input by the data scientists who are willing to work on this topic.
Preprint
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In view of all the ever-increasing data clouds, keeping a count of training points is no more essential, what one needs is a way in which one Machine Learning (ML) model can talk to other ML models, to start with. Sequentially, one should aim to merge various AI problems, this may be referred to as "model interoperability". This article aims to exp...
Preprint
Full-text available
Rough Set based Span and Spanning Sets [1-6] were recently proposed to deal with uncertainties arising in the problem in various problems. This paper presents span measure to be used as Loss Function in unsupervised deep learning. The key contribution of this paper is to propose a criterion to learn in an unsupervised way using uncertainty measure...
Preprint
Full-text available
The significant existing results and terminologies from Mathematical Topological Spaces are presented in this article along with their implication in Machine Learning problems and of Artificial Intelligence. The aim is to consider the problem spaces and the spaces used to find solution (the mapped spaces) in Machine Learning problems as topological...
Preprint
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This article lays emphasis on how Abstract Algebra topic of Group Theory can be applied to the problems of Natural Language Processing. Here the monoid is defined for certain NLP tasks and the proposed extension of the free semigroup to free Group is illustrated for its meaning in several NLP tasks. The article concludes with laying out of some rel...
Preprint
Full-text available
The article focusses on AI having a component of being humanly. Ethical and Bias Questions in Facial Recognition Tasks are an example that seeks answers for exceeding human expectation. This shall kind of make AI the masters of humans. This defeats the very purpose of AI which was made to assist human not to rule humans. Hence there is a need for b...
Article
Full-text available
The article focusses on AI having a component of being humanly. Ethical and Bias Questions in Facial Recognition Tasks are an example that seeks answers for exceeding human expectation. This shall kind of make AI the masters of humans. This defeats the very purpose of AI which was made to assist human not to rule humans. Hence there is a need for b...
Preprint
Full-text available
A recent news showed how AI algorithms can adversely effects children, teenagers and adults as well. This article lays foundation to filtering system to pre-process and post-process the Large Language Models for both input and output to the system. Henceforth creating AI models that can be used in applications with much better surety of not hurting...
Preprint
Full-text available
Data Envelopment Analysis is proposed be used in this article to continuously rank the decision-making units (DMU) for their effectiveness in performing for climate initiatives. The DMU are framed as individual region which are ranked on their ongoing fights for global climate change as well as DMU's within a region (such as industrial units) for t...
Research Proposal
Full-text available
Getting to bottom of the problem. Here are two proposed solutions which AI can help us in to solve the climate crisis. Till the time AI cannot answer it, humans have to manually work out the chemical reactions. Solution 1. Treating the gases released by a car in a car exhaust only. This solution proposed to use an extension in the car exhaust syst...
Preprint
Metered Salary for Metered Work, Though Time At Work with Metered Benefits Just like we are charged based on how much we travel by taxi drivers. In the same way why cant we be paid by how much we work in office. Sometimes we overwork, to finish some deadlines. Sometimes we need time off per day, as the leg is paining – No? So we work 7 hours lesse...
Preprint
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This paper aims to present a mathematical programing-based model for climate change control. The problem is modeled as a convex programming problem in form of an optimal control problem, since the aim is to consider the state of planet and at the same time minimize the key factors involved in climate change globally as well as region wise. The arti...
Preprint
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The article proposes a hypothesis that is the local warmings in a region impacts the global warming and global climatic changes. The global warming is a common terminology which needs no introduction now. This article introduces the concept of local warming and its effect on local and global climate. This indeed impact the climate change on large....
Preprint
Full-text available
This Artificial Intelligence based application in a way measures the climatic weight a person is carrying. The application can be used occasionally and can help in making individuals more sensitive to using right things and hence creating a demand of the climate safe products. Once the basic steps have been performed the application can also be use...
Research Proposal
Full-text available
There has been AI based projects that have been started for finding the origin of Universe, life, planets. There are Robotics based projects to teach people games like squash with the help robots. Well, I want to propose to the AI community why not a research project to find origin of virus, origin of planets, life, universe, learning squash can wa...
Preprint
Full-text available
This article covers the areas of ethics and safety concerns for the growing field of Robotics which use Artificial Intelligence to pursue its tasks. The article covers various kinds of threats AI based Robots may pose to humans and environment. Further, ethical issues and hacking of an AI based Robot and its potential side-effects are discussed. Co...
Preprint
Full-text available
This article presents an approach by which the macro sentiment of organization and micro sentiment of the team inside the organization can help the new candidate in his choice to join a particular company, department. The article lays a proposal to be followed by the organizations in recruiting. This shall be helpful both for the companies and also...
Data
Rough Set is a mathematical tool to find patterns hidden in data with uncertainty. A major step for reduction of high dimension data, present in various forms, is selection of appropriate features. In this work we propose a new indiscernibility relation based on clusters, and compare its effectiveness with that of classical Rough Set based indiscer...
Preprint
Full-text available
To incrementally grow the pre-trained models without leaving behind much carbon footprints. This article provides the idea and uses of a customized incrementally growing deep learning based pre-trained model. Further, applications, uses, expected outputs and proposed technique is described in short. This technique make use of availability of generi...
Preprint
Full-text available
AI is to assist mankind in things man can't do better not in things man can do better. AI bases traffic load is measure by sensors. In this research article, it is proposed to develop AI based sensors in forest to detect the first fires. Further, an AI based system is described to automatically inform the concerned departments about rising fires in...
Research Proposal
Full-text available
AI is to assist mankind in things man can't do better not in things man can do better. AI bases traffic load is measure by sensors! Why not AI based sensors in forest to detect the first fires and to automatically inform the departments. Not only just automatically informing the concerned departments-AI based systems can give FIRST-AID to burning t...
Preprint
Full-text available
Word Sense Disambiguation (WSD) is a challenging AI problem. The solution to which is evolving with primarily supervised learning techniques. However, most of the unsupervised methods still need more reductionism while supervised techniques predominately require huge tagged data for a higher accuracy. This paper presents an unsupervised novel techn...
Research Proposal
Full-text available
Word Sense Disambiguation (WSD) is a challenging AI problem. The solution to which is evolving with primarily supervised learning techniques. However, most of the unsupervised methods still need more reductionism while supervised techniques predominately require huge tagged data for a higher accuracy. This paper presents an unsupervised novel techn...
Preprint
Full-text available
Climate change is here; natural calamities have become a regular phenomenon in world. There are various artificial intelligence-based techniques that can be used to predict and detect natural calamities, some of which include deep learning-based techniques such as RNN, LSTM, Transformers, Hybrid CNN models by considering the atmospheric data in for...
Preprint
Full-text available
Rough Set based Spanning Sets were recently proposed to deal with uncertainties arising in the problem in domain of natural language processing problems. This paper presents a novel span measure using upper approximations. The key contribution of this paper is to propose another uncertainty measure of span and spanning sets. Firstly, this paper pro...
Preprint
Full-text available
Rough Set based concepts of Span and Spanning Sets were recently proposed to deal with uncertainties in data. Here, this paper, presents novel concepts for generic decision-making process using Rough Set based span for a decision table. Majority of problems in Artificial Intelligence deal with decision making. This paper provides real life applicat...
Research Proposal
Full-text available
Low pressure and high pressures are recorded on the atmospheric databased, why cannot it be fed to a neural network, to start with, if deep learning is too costly? This is a time series problem, just like you can predict financial data you should be able to predict this as well. Consider past months data of low and high pressures and new data when...
Preprint
Full-text available
Several research initiatives have been proposed for computing similarity between two Fuzzy Sets in analysis through Fuzzy Rough Sets. These techniques yield two measures viz. lower similarity and upper similarity. While in most applications only one entity is useful to further analysis and for drawing conclusions. The aim of this paper is to propos...
Research Proposal
Full-text available
Climate changed has paved the way for variety of extreme conditions on Earth, be it drought, flooding, cyclones, typhons, flash flooding or forest fires. Yes, until equilibrium is reached on Earth again, when the atmospheric processes gain back a stable and balanced state, measures should be taken to make resources on Earth safe and life on Earth l...
Research Proposal
Full-text available
Artificial Intelligence based Software to do surveillance or safety, as needed by owners, of store for crime detection. Need, Use and How to do it is discussed here on this page.
Preprint
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This research paper proposes a novel Neighbourhood Rough Set based approach for supervised Multi-document Text Summarization (MDTS) with analysis and impact on the summarization results for MDTS. Here, Rough Set based LERS algorithm is improved using Neighborhood Rough Set which is itself a novel combination called Neighborhood-LERS to be experimen...
Chapter
In the era of presence of multiple textual information about a particular topic, it becomes of immense importance to process these multiple documents and summarize them. This is the process of Multi-Document Summarization (MDS). One of the very famous technique for Multiple Document Summarization is Centroid based method which is used in a popular...
Chapter
With the emergence Big data scenario selection of features has assumed a very important role in today’s data processing world. Handling a large volume of data, irrespective of the underlying domain (E.g. spam mails, text data, fraud transactions, speaker identification), and the content (e.g. gene data, text data, image data, audio-video data) is a...
Preprint
Full-text available
Most problems in Machine Learning cater to classification and the objects of universe are classified to a relevant class. Ranking of classified objects of universe per decision class is a challenging problem. We in this paper propose a novel Rough Set based membership called Rank Measure to solve to this problem. It shall be utilized for ranking th...
Chapter
Latent semantic analysis has been used successfully for extractive text summarization for years, while random indexing-based summarization has been recently proposed in the literature for text summarization. The random indexing-based summarization inherently uses graph-based ranking techniques. In this paper, we propose a hybrid technique of latent...
Article
Information retrieval is widely used due to extremely large volume of text and image data available on the web and consequently, efficient retrieval is required. Text information retrieval is a branch of information retrieval which deals with text documents. Another key factor is the concern for a retrieval engine, often referred to as user-specifi...
Article
Fuzzy Rough Sets are designed for decision-making with uncertainty, imprecision, and incompleteness in data. We propose to use Fuzzy Rough Sets for the task of sentence similarity-based Text Summarization. Text data inherently possess uncertainty, imprecision, and incompleteness for data representation. Two sentences may be equivalent in their mean...
Conference Paper
Rough Set is a mathematical tool to find patterns hidden in data with uncertainty. A major step for reduction of high dimension data, present in various forms, is selection of appropriate features. In this work we propose a new indiscernibility relation based on clusters, and compare its effectiveness with that of classical Rough Set based indiscer...
Article
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision making. The theory provides a practical approach for extraction of valid rules fromdata.This paper discusses about rough sets and fuzzy rough sets with its applications in data mining that can handle uncertain and vague data so as to reach at meaningfu...

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Projects (4)
Project
The project aims to focus on technological, artificial intelligence, robotics, scientific and mathematical techniques needed to deal with climate change issues.
Project
This projects aims in one or both of AI and Robotics and their Ethical implications.