13 citations · 19 across the 9 of their papers we have counts for
11 papers
Towards Transparent Diagnostics: Investigating Architectural Trade-offs and Explainability in Malaria Detection
Suman Kunwar, Avishek Dangol
More than 80 countries have reported malaria cases with 610 thousand deaths and are projected to increase. Identifying malaria early and accurately helps save lives and effective w…
The Garbage Dataset (GD): A Multi-Class Image Benchmark for Automated Waste Segregation
Suman Kunwar
This study introduces the Garbage Dataset (GD), a publicly available image dataset designed to advance automated waste segregation through machine learning and computer vision. It…
DWaste: Greener AI for Waste Sorting using Mobile and Edge Devices
Suman Kunwar
The rise of convenience packaging has led to generation of enormous waste, making efficient waste sorting crucial for sustainable waste management. To address this, we developed DW…
Health Care Waste Classification Using Deep Learning Aligned with Nepal's Bin Color Guidelines
Suman Kunwar, Prabesh Rai
The increasing number of Health Care facilities in Nepal has added up the challenges on managing health care waste (HCW). Improper segregation and disposal of HCW leads to contamin…
Plastic Waste Classification Using Deep Learning: Insights from the WaDaBa Dataset
Suman Kunwar, Banji Raphael Owabumoye, Abayomi Simeon Alade
With the increasing use of plastic, the challenges associated with managing plastic waste have become more challenging, emphasizing the need of effective solutions for classificati…
Managing Household Waste through Transfer Learning
Suman Kunwar
As the world continues to face the challenges of climate change, it is crucial to consider the environmental impact of the technologies we use. In this study, we investigate the pe…
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer Learning
Suman Kunwar, Jannatul Ferdush
As the global population continues to expand, the demand for natural resources increases. Unfortunately, human activities account for 23% of greenhouse gas emissions. On a positive…
MWaste: A Deep Learning Approach to Manage Household Waste
Suman Kunwar
Computer vision methods have shown to be effective in classifying garbage into recycling categories for waste processing, existing methods are costly, imprecise, and unclear. To ta…
Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)
Suman Kunwar
In recent decades, digital image processing has gained enormous popularity. Consequently, a number of data compression strategies have been put forth, with the goal of minimizing t…
Strategies in JPEG compression using Convolutional Neural Network (CNN)
Suman Kunwar
Interests in digital image processing are growing enormously in recent decades. As a result, different data compression techniques have been proposed which are concerned mostly wit…
Malaria Detection Using Image Processing and Machine Learning
Suman Kunwar
Malaria is mosquito-borne blood disease caused by parasites of the genus Plasmodium. Conventional diagnostic tool for malaria is the examination of stained blood cell of patient in…