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 …
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
Development of a framework for human–robot interactions with Indian sign language using possibility theory
This paper demonstrates the capability of NAO humanoid robot to interact with hearing
impaired persons using Indian Sign Language (ISL). Principal contributions of the paper are …
impaired persons using Indian Sign Language (ISL). Principal contributions of the paper are …
Technological aids for deaf and mute in the modern world
Background: People suffering from hearing and speaking disabilities have a few ways of
communicating with other people. One of these is to communicate through the use of sign …
communicating with other people. One of these is to communicate through the use of sign …
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 …
Learning (CALL). Mispronunciation detection is one of the core components of Computer …
Evaluation of Customer Care Executives Using Speech Emotion Recognition
B Pragati, C Kolli, D Jain, AV Sunethra… - … , Network Security and …, 2023 - Springer
Emotions play a crucial role in communication, and in the digital era of remote
communication, their identification and analysis are of vital importance. Many critical …
communication, their identification and analysis are of vital importance. Many critical …
Real‐Time Gesture–Based Communication Using Possibility Theory–Based Hidden Markov Model
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 …
this problem, the concept of possibility theory–based hidden Markov model (PTBHMM) has …
Fusion of gesture and speech for increased accuracy in human robot interaction
N Baranwal, AK Singh… - 2019 24th International …, 2019 - ieeexplore.ieee.org
An approach for decision-level fusion for gesture and speech based human-robot interaction
(HRI) is proposed. A rule-based method is compared with several machine learning …
(HRI) is proposed. A rule-based method is compared with several machine learning …
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 …
problem, the concept of possibility theory-based hidden Markov model (PTBHMM) has been …
Human perception based criminal identification through human robot interaction
In India like many other countries, the crimes especially against women are rising. One of
the many reasons perhaps is the low conviction rate. The initial stage of criminal …
the many reasons perhaps is the low conviction rate. The initial stage of criminal …
Assistive technology-based solution for hearing impairment using smartphones
Developing a system for sign language recognition becomes essential for the deaf as well
as a mute person. The recognition system acts as a translator between a disabled and an …
as a mute person. The recognition system acts as a translator between a disabled and an …