SeVa: a food donation app for smart living

C Varghese, D Pathak, AS Varde - 2021 IEEE 11th Annual …, 2021 - ieeexplore.ieee.org
An important goal in our world today is to eliminate food waste by reutilizing available food
sources within local communities: leftover food items in restaurants, stores and food …

Item-based collaborative filtering and association rules for a baseline recommender in e-commerce

J Lourenco, AS Varde - … Conference on Big Data (Big Data), 2020 - ieeexplore.ieee.org
In the ever-growing data-driven world today, data increases in many forms, eg e-commerce
sites uploading new products, streaming services adding TV shows and movies, and music …

COVID and social media: analysis of COVID-19 and social media trends for smart living and healthcare

M Puri, Z Dau, AS Varde - ACM SIGWEB Newsletter, 2021 - dl.acm.org
The Coronavirus pandemic is one of the most devastating encounters in modern times. Over
175 million cases have been recorded globally with over 3.5 million deaths. Disseminating …

Computational estimation by scientific data mining with classical methods to automate learning strategies of scientists

AS Varde - ACM Transactions on Knowledge Discovery from Data …, 2022 - dl.acm.org
Experimental results are often plotted as 2-dimensional graphical plots (aka graphs) in
scientific domains depicting dependent versus independent variables to aid visual analysis …

Personalizing text-to-image diffusion models by fine-tuning classification for AI applications

R Hidalgo, N Salah, R Chandra Jetty, A Jetty… - Proceedings of SAI …, 2023 - Springer
Stable Diffusion is a captivating text-to-image model that generates images based on text
input. However, a major challenge is that it is pretrained on a specific dataset, limiting its …

Data visualization and predictive analysis for smart healthcare: Tool for a hospital

A Menon, MS Aishwarya, AM Joykutty… - 2021 IEEE Region 10 …, 2021 - ieeexplore.ieee.org
The healthcare industry is one of the most significant sources of Big Data. It is not feasible to
manually interpret and understand the huge amounts of data generated by hospitals …

Multispectral drone data analysis on coastal dunes

B Gonzalez-Moodie, S Daiek… - … Conference on Big …, 2021 - ieeexplore.ieee.org
We devise a method to study coastal dune vegetation based on drone data orthomosaic
mapping and machine learning algorithms to distinguish objects with spatial and color …

Analyzing Land Use Change and Climate Data to Forecast Energy Demand for a Smart Environment

A Prasad, AS Varde, R Gottimukkala… - 2021 9th International …, 2021 - ieeexplore.ieee.org
Energy is essential for the sustainable development of nations. Increasing population
growth, along with expected increases in duration and intensity of extreme weather, can …

The Application of Big Data and Cloud Computing Among Smallholder Farmers in Sub-Saharan Africa

E Mupaikwa - Handbook of Research on Technological Advances of …, 2023 - igi-global.com
Big data and cloud computing technologies have become popular technologies for
information processing across different sectors of the economies including agriculture. This …

Hydroinformatics and the web: Analytics and dissemination of hydrology data for climate change and sustainability

D Pathak, AS Varde, G De Melo, C Alo - ACM SIGWEB Newsletter, 2020 - dl.acm.org
Climate change and global sustainability are among the most urgent concerns facing
humanity. One important aspect of this is hydrology, ie, the scientific study of the movement …