10 citations · 47 across the 20 of their papers we have counts for
4 papers · 1 filter
Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model
Souridas Alaka, Rishikesh Sreekumar, Hrithwik Shalu
Data analysis has become a necessity in the modern era of cricket. Everything from effective team management to match win predictions use some form of analytics. Meaningful data re…
Multi-Modal Detection of Alzheimer's Disease from Speech and Text
Amish Mittal, Sourav Sahoo, Arnhav Datar +3
Reliable detection of the prodromal stages of Alzheimer's disease (AD) remains difficult even today because, unlike other neurocognitive impairments, there is no definitive diagnos…
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model
Hrithwik Shalu, Harikrishnan P, Hari Sankar CN +6
Preliminary detection of mild depression could immensely help in effective treatment of the common mental health disorder. Due to the lack of proper awareness and the ample mix of…
A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques
Sarah, S. Sidhartha Narayan, Irfaan Arif +2
We suggest a low cost, non invasive healthcare system that measures haemoglobin levels in patients and can be used as a preliminary diagnostic test for anaemia. A combination of im…