10 citations
- Institute for Social and Environmental Research-NepalNP2 papers
- Pulchowk CampusNP2 papers
- Institute of EngineeringNP1 paper
- Savonia University of Applied SciencesFI1 paper
- South Eastern Finland University of Applied SciencesFI1 paper
- Toshiba (United Kingdom)GB1 paper
- University of GlasgowGB1 paper
- University of LausanneCH1 paper
- University of ManchesterGB1 paper
- University of TurkuFI1 paper
7 papers
Surgical Vision World Model
Saurabh Koju, Saurav Bastola, Prashant Shrestha +4
Realistic and interactive surgical simulation has the potential to facilitate crucial applications, such as medical professional training and autonomous surgical agent training. In…
Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network
Arun Kunwar, Dibakar Raj Pant, Jukka Heikkonen +1
The Convolutional Neural Network (CNN) has shown impressive performance in image classification because of its strong learning capabilities. However, it demands a substantial and b…
Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet
Manish Dhakal, Arman Chhetri, Aman Kumar Gupta +3
This paper presents an end-to-end deep learning model for Automatic Speech Recognition (ASR) that transcribes Nepali speech to text. The model was trained and tested on the OpenSLR…
Comparative Analysis of NMPC and Fuzzy PID Controllers for Trajectory Tracking in Omni-Drive Robots: Design, Simulation, and Performance Evaluation
Love Panta
Trajectory tracking for an Omni-drive robot presents a challenging task that demands an efficient controller design. This paper introduces a self-optimizing controller, Type-1 fuzz…
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography
Rabin Adhikari, Manish Dhakal, Safal Thapaliya +3
Accurate segmentation is essential for echocardiography-based assessment of cardiovascular diseases (CVDs). However, the variability among sonographers and the inherent challenges…
Determining size of an optically trapped particle via modulated Raman spectroscopy
Rohin Sharma, Anusa Thapa, Rijan Maharjan +1
The average Raman signal power obtained in a modulated optical trap is dependent on the Brownian motion - therefore hydrodynamic properties of the trapped particle. Hence, in addit…