most citedEEG Right & Left Voluntary Hand Movement-based Virtual Brain-Computer Interfacing Keyboard Using Hybrid Deep Learning Approach

13 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025★ 1 cited

EEG-based AI-BCI Wheelchair Advancement: Transformer-Based Learning with Motor Imagery for Brain Computer Interface

Bipul Thapa, Biplov Paneru, Bishwash Paneru +1

This paper presents an Artificial Intelligence (AI) integrated approach to Brain-Computer Interface (BCI)-based wheelchair development, utilizing a motor imagery right-left-hand mo…

cs.CL2025

Emotion Classification In-Context in Spanish

Bipul Thapa, Gabriel Cofre

Classifying customer feedback into distinct emotion categories is essential for understanding sentiment and improving customer experience. In this paper, we classify customer feedb…

cs.HC2024★ 2 cited

A systematic review of assistive technologies for children with dyslexia

Sansrit Paudel, Subek Acharya, Piriyankan Kirupaharan +2

Dyslexia is a neurological learning disability that primarily disrupts one's ability to read, write, and spell, affecting an estimated 15-20% of the global population. This high pr…

cs.HC2024★ 1 cited

EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach

Biplov Paneru, Bishwash Paneru, Bipul Thapa +1

This study offers a revolutionary strategy to developing wheelchairs based on the Brain-Computer Interface (BCI) that incorporates Artificial Intelligence (AI) using a The device u…

cs.LG2024★ 1 cited

Remaining Useful Life Prediction for Batteries Utilizing an Explainable AI Approach with a Predictive Application for Decision-Making

Biplov Paneru, Bipul Thapa, Durga Prasad Mainali +2

Accurately estimating the Remaining Useful Life (RUL) of a battery is essential for determining its lifespan and recharge requirements. In this work, we develop machine learning-ba…

eess.SP2024★ 13 cited

EEG Right & Left Voluntary Hand Movement-based Virtual Brain-Computer Interfacing Keyboard Using Hybrid Deep Learning Approach

Biplov Paneru, Bipul Thapa, Bishwash Paneru +1

Brain-machine interfaces (BMIs), particularly those based on electroencephalography (EEG), offer promising solutions for assisting individuals with motor disabilities. However, cha…