1 citations · 1 across the 5 of their papers we have counts for
5 papers
Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods
Akash K Rao, Vishnu K Menon, Arnav Bhavsar +3
Attention is the brain's mechanism for selectively processing specific stimuli while filtering out irrelevant information. Characterizing changes in attention following long-term i…
Gesture Controlled Robot For Human Detection
Athira T. S, Honey Manoj, R S Vishnu Priya +2
It is very important to locate survivors from collapsed buildings so that rescue operations can be arranged. Many lives are lost due to lack of competent systems to detect people i…
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods
Akash K Rao, Shashank Uttrani, Vishnu K Menon +4
Predicting and understanding the changes in cognitive performance, especially after a longitudinal intervention, is a fundamental goal in neuroscience. Longitudinal brain stimulati…
Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles
Akash K Rao, Gunjan Y Trivedi, Riri G Trivedi +7
Among young adults, suicide is India's leading cause of death, accounting for an alarming national suicide rate of around 16%. In recent years, machine learning algorithms have eme…
Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods
Akash K Rao, Vishnu K Menon, Shashank Uttrani +3
Executive functioning is a cognitive process that enables humans to plan, organize, and regulate their behavior in a goal-directed manner. Understanding and classifying the changes…