Sanjay Singh

Creighton University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Shiv Prasad Yadav

Indian Institute of Technology Roorkee

Sandeep Kumar Mogha

Chandigarh University

M. Sathish Kumar

Manipal Academy of Higher Education

Manu S. Hegde

Manipal Academy of Higher Education

Keerthi Shetty

Dana-Farber Cancer Institute

H.S Mruthyunjaya

Manipal Academy of Higher Education

Santhosh Kamath

Manipal Academy of Higher Education

Shivani G. Aithal

Manipal Academy of Higher Education

Afzalul Haque

Manipal Academy of Higher Education

Abishek B. Rao

Manipal Academy of Higher Education

Cooperative Institutions

Manipal Academy of Higher Education

109

Indian Institute of Technology Roorkee

Banaras Hindu University

Manipal University Jaipur

National Institute of Technology Karnataka

Raja Ramanna Centre for Advanced Technology

Amity University

University of Delhi

Govind Ballabh Pant University of Agriculture and Technology

All India Institute of Medical Sciences

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Chatbot for university related FAQs

Bhavika R. Ranoliya Nidhi Raghuwanshi Sanjay Singh

Chatbots are programs that mimic human conversation using Artificial Intelligence (AI). It is designed to be the ultimate virtual assistant, entertainment purpose, helping one to complete tasks ranging from answering questions, getting driving directions, turning up the thermostat in smart home, to playing one's favorite tunes etc. Chatbot has become more popular in business groups right now as they can reduce customer service cost and handles multiple users at a time. But yet to accomplish many tasks there is need to make chatbots as efficient as possible. To address this problem, in this paper we provide the design of a chatbot, which provides an efficient and accurate answer for any query based on the dataset of FAQs using Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA). Template based and general questions like welcome/ greetings and general questions will be responded using AIML and other service based questions uses LSA to provide responses at any time that will serve user satisfaction. This chatbot can be used by any University to answer FAQs to curious students in an interactive fashion.

Chatbot

Customer Service

Frequently asked questions

10.1109/icacci.2017.8126057

Cite

Citations (353)

IoT Based Driving Risk Assessment and Warning System

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) (2018)

Alakananda Aithal Sanjay Singh

Drivers of vehicles encounter various risks both external and internal during their course of operation of a vehicle on the road. One such risk is the proximity of vehicle with respect to another vehicle or an obstacle. This IoT based project examines a solution which directs/assists the driver to maintain a specified safe distance between vehicles on roads to and avoid unsafe conditions leading to accidents. In the event of lack of attention on behalf of the driver or temporary distraction, the system is designed to alert him to the required focus on the road. The project will attempt to examine the possible risk factors both qualitatively and quantitatively in order to incorporate data-based features into the system. Evaluation of the risk factors will be done through the study of published causes of road accidents in India. The results shall be in the form of a sensor graph which can be used to design the system and offer a standalone solution. The sensor data in the form of sensor graph can be served as the primary measure to take better decisions for secure and safe transportation. The system has the potential to improve the overall road safety, improve drivers standards by revising training, be used as a monitoring tool, analysis of accidents etc. using graphical representation, trend analysis etc., with the use of trend analysis the roads could be categorized as roads for safe transport or roads that are dangerous. It can also be used as a tool to identify dangerous roads.

10.1109/icssit.2018.8748704

Cite

Citations (1)

Towards a generic framework for short term firm-specific stock forecasting

Mansoor Ahmed Anirudh Sriram Sanjay Singh

This paper investigates the predictive power of technical analysis, sentiment analysis and stock market analysis coupled with a robust learning engine in predicting stock trends in the short term for specific companies. Using large and varied datasets stretching over a duration of ten years, we set out to train, test and validate our system in order to either contradict or confirm efficient market hypothesis. Our results reveal a significant improvement over the efficient market hypothesis for majority companies and thus strongly challenge it. Technical parameters and algorithms operating upon them are shown to have a significant impact upon the end-predictive power of the system, thus bolstering claims of their efficacy. Moreover, sentiment analysis results also show a strong correlation with future market trends. Lastly, the superiority of supervised non-shallow learning architectures is illustrated via a comparison of results obtained through a myriad of optimization and clustering algorithms.

Predictive power

Stock (firearms)

Stock Market Prediction

10.1109/icacci.2014.6968411

Cite

Citations (1)

Modeling and Verification of Inter Realm Authentication in Kerberos Using Symbolic Model Verifier

Communications in computer and information science (2011)

Punit Mundra Madhavi Sharma Shobhit Shukla Sanjay Singh

Kerberos

Authentication server

10.1007/978-3-642-24043-0_50

Cite

Citations (0)

Intrusion Detection in Zero Knowledge System Using Model Checking Approach

Lecture notes in electrical engineering (2013)

T. Prem Jacob Mithun Raman Sanjay Singh

Zero-knowledge proof

Communication source

Gas meter prover

Hacker

10.1007/978-1-4614-6154-8_45

Cite

Citations (2)

Evaluating Gender Bias in Hindi-English Machine Translation

Krithika Ramesh Gauri Shanker Gupta Sanjay Singh

With language models being deployed increasingly in the real world, it is essential to address the issue of the fairness of their outputs. The word embedding representations of these language models often implicitly draw unwanted associations that form a social bias within the model. The nature of gendered languages like Hindi, poses an additional problem to the quantification and mitigation of bias, owing to the change in the form of the words in the sentence, based on the gender of the subject. Additionally, there is sparse work done in the realm of measuring and debiasing systems for Indic languages. In our work, we attempt to evaluate and quantify the gender bias within a Hindi-English machine translation system. We implement a modified version of the existing TGBI metric based on the grammatical considerations for Hindi. We also compare and contrast the resulting bias measurements across multiple metrics for pre-trained embeddings and the ones learned by our machine translation model.

Realm

Debiasing

10.18653/v1/2021.gebnlp-1.3

Cite

Citations (13)

Enhanced mining association rule algorithm with reduced time & space complexity

Punit Mundra Amit K. Maurya Sanjay Singh

In this paper, we have proposed a technique to improve the performance of existing mining association rule algorithm which significantly reduces the time and space complexity of independent of datasets. There are many data mining algorithms for finding association rules our contribution can be used in almost all of the algorithms independent of its variety. In this paper we are concentrating more on Apriori algorithm which is a type of candidate generation algorithm also a fundamental block of all the mining algorithms, rectifying its major limitation of consuming ample amount of time in generating the candidates.

Algorithm design

10.1109/indcon.2012.6420782

Cite

Citations (1)

Basic Concept of Embedded ‘C’: Review

International Journal of Computer Science and Informatics (2012)

Supriya Agrawal Sanjay Singh Arun Kumar Gautam Mahesh Kumar Singh

The use of C language to program micro controllers is becoming too common. And most of the time its not easy to build an application in assembly which instead you can make easily in C. So its important that you know C language for micro controller which is commonly known as C remains a very popular language for micro-controller developers due to the code efficiency and reduced overhead and development time. C offers low-level control and is considered more readable than assembly. Many free C compilers are available for a wide variety of development platforms. The compilers are part of an IDEs with ICD support, breakpoints, single-stepping and an assembly window.

Assembly language

10.47893/ijcsi.2012.1055

Cite

Citations (1)

Supplementary List of Definitions of Innovation.docx

Figshare (2019)

Sanjay Singh

A list of definition of innovation

10.6084/m9.figshare.9724799

Cite

Citations (0)

Performance Analysis of the AdaGrad Family of Algorithms