Classification of histopathology images of lung cancer using convolutional neural network (CNN)

N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …

An efficient gesture based humanoid learning using wavelet descriptor and MFCC techniques

N Baranwal, GC Nandi - International Journal of Machine Learning and …, 2017 - Springer
Recognizing any gesture, pre-processing and feature extraction are the two major issues
which we have solved by proposing a novel concept of Indian Sign Language (ISL) gesture …

Improved Mispronunciation detection system using a hybrid CTC-ATT based approach for L2 English speakers

N Baranwal, S Chilaka - arXiv preprint arXiv:2201.10198, 2022 - arxiv.org
This report proposes state-of-the-art research in the field of Computer Assisted Language
Learning (CALL). Mispronunciation detection is one of the core components of Computer …

Possibility theory based continuous Indian Sign Language gesture recognition

N Baranwal, K Tripathi, GC Nandi - TENCON 2015-2015 IEEE …, 2015 - ieeexplore.ieee.org
Today sign language is a vibrant field of research because it helps us to establish
communication between hearing impaired community and normal community. In this paper …

PSO and neural network based intelligent posture calibration method for robot arm

PH Kuo, GH Liu, YF Ho, THS Li - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Inverse kinematics is a general method for defining the joint angles of the robot arm. This
method provides an efficient way to control the robot arm for several tasks. However, the …

Recognition of static hand gestures of Indian sign language using CNN

S Reshna, A Sajeena, M Jayaraju - AIP Conference Proceedings, 2020 - pubs.aip.org
Sign languages are natural languages used by hearing impaired people which use several
means of expression for communication in day to day life. It relates letters, words, and …

Real‐Time Gesture–Based Communication Using Possibility Theory–Based Hidden Markov Model

N Baranwal, GC Nandi, AK Singh - Computational Intelligence, 2017 - Wiley Online Library
Exploring correct patterns from low‐frequency time‐series data is challenging. For resolving
this problem, the concept of possibility theory–based hidden Markov model (PTBHMM) has …

A mathematical framework for possibility theory-based hidden Markov model

N Baranwal, GC Nandi - International Journal of Bio …, 2017 - inderscienceonline.com
Exploring correct pattern from low frequency time series data is challenging. In resolving this
problem, the concept of possibility theory-based hidden Markov model (PTBHMM) has been …

Literature on Hand GESTURE Recognition using Graph based methods

N Baranwal, V Sharma - arXiv preprint arXiv:2207.00329, 2022 - arxiv.org
Skeleton based recognition systems are gaining popularity and machine learning models
focusing on points or joints in a skeleton have proved to be computationally effective and …

On human robot interaction using multiple modes

N Baranwal - arXiv preprint arXiv:1811.07206, 2018 - arxiv.org
Humanoid robots have apparently similar body structure like human beings. Due to their
technical design, they are sharing the same workspace with humans. They are placed to …