[HTML][HTML] Data analytics in a privacy-concerned world

J Wieringa, PK Kannan, X Ma, T Reutterer… - Journal of Business …, 2021 - Elsevier
Data is considered the new oil of the economy, but privacy concerns limit their use, leading
to a widespread sense that data analytics and privacy are contradictory. Yet such a view is …

Technology-enhanced auditing: Improving veracity and timeliness in social and environmental audits of supply chains

P Castka, C Searcy, J Mohr - Journal of Cleaner Production, 2020 - Elsevier
Social and environmental audits (SEA) in supply chains prove to be difficult: costly,
administratively challenging, retrospective and often lacking veracity and timeliness. The …

Enhanced algorithmic job matching based on a comprehensive candidate profile using nlp and machine learning

VS Pendyala, N Atrey, T Aggarwal… - 2022 IEEE Eighth …, 2022 - ieeexplore.ieee.org
We propose to aid the hiring process by automatic profiling of a candidate's social media
presence and using it in conjunction with their resume and other information to suggest an …

Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring

A Nalin, V Vignali, C Lantieri, D Cappellari… - Journal of Transport …, 2024 - Elsevier
Veracity is a critical dimension of Big Data, as it is related to the quality of data. Its role is
even more important when Big Data are supposed to be a counterpart or a substitute of …

Real-time big data processing based on a distributed computing mechanism in a single server

A Rashidov, AR Akhatov, FM Nazarov - Stochastic Processes and …, 2023 - igi-global.com
Today, the problem of processing big data in real time is observed not only in unstructured
big data but also in dealing with structured data in databases of small businesses and …

Deep learning for conversions between melodic frameworks of indian classical music

R Surana, A Varshney, V Pendyala - Proceedings of Second International …, 2022 - Springer
The CycleGAN deep learning framework has been successfully used for image style transfer
in important domains such as medical diagnosis. This paper describes attempts, first of their …

Foundations of data quality assurance for IoT-based smart applications

R Togneri, G Camponogara… - 2019 IEEE Latin …, 2019 - ieeexplore.ieee.org
Most current scientific and industrial efforts in IoT are geared towards building integrated
platforms to finally realize its potential in commercial scale applications. The IoT and Big …

Enhanced predictive modeling of cricket game duration using multiple machine learning algorithms

S Tyagi, R Kumari, SC Makkena… - … conference on data …, 2020 - ieeexplore.ieee.org
Cricket has the second-largest fan-base after football. Interest in any game is a factor of
quality of the game which in turn depends on the quality of players. It is therefore important …

Spectral analysis perspective of why misinformation containment is still an unsolved problem

VS Pendyala, FSA Tabatabaii - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Misinformation is still a major societal problem. The arrival of ChatGPT only added to the
problem. This paper analyzes misinformation in the form of text from a spectral analysis …

Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information

VS Pendyala, M Dutta - arXiv preprint arXiv:2407.05464, 2024 - arxiv.org
Misinformation is still a major societal problem and the arrival of Large Language Models
(LLMs) only added to it. This paper analyzes synthetic, false, and genuine information in the …