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 …
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 …
Windowing approach for face recognition using the spatial-temporal method and artificial neural network
Face recognition (FR) is getting a lot of attention for a good reason in the field of research
and making a big impact in areas such as computer vision and human-computer interaction …
and making a big impact in areas such as computer vision and human-computer interaction …
Development of a fuzzy expert system based liveliness detection scheme for biometric authentication
Liveliness detection acts as a safe guard against spoofing attacks. Most of the researchers
used vision based techniques to detect liveliness of the user, but they are highly sensitive to …
used vision based techniques to detect liveliness of the user, but they are highly sensitive to …
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 …
focusing on points or joints in a skeleton have proved to be computationally effective and …
Survey on Face Recognition with pre filtering Techniques and their comparative study
S Pavithra, R Ramesh… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Face is a very crucial aspect with respect to recognizing as it stands out as a unique feature.
The normal human has distinct facial features that can be mapped and remembered …
The normal human has distinct facial features that can be mapped and remembered …
An expression invariant face recognition based on proximal support vector machine
Face recognition with variations in expressions is a challenging task as various facial
structures are altered. In this work, an expression invariant face recognition system is …
structures are altered. In this work, an expression invariant face recognition system is …
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 …
technical design, they are sharing the same workspace with humans. They are placed to …
Conflict Detection and Resolution in Table Top Scenarios for Human-Robot Interaction
AK Singh, KF Richter - arXiv preprint arXiv:1912.08097, 2019 - arxiv.org
As in any interaction process, misunderstandings, ambiguity, and failures to correctly
understand the interaction partner are bound to happen in human-robot interaction. We term …
understand the interaction partner are bound to happen in human-robot interaction. We term …
On effective human robot interaction based on recognition and association
AK Singh - arXiv preprint arXiv:1812.07100, 2018 - arxiv.org
Faces play a magnificent role in human robot interaction, as they do in our daily life. The
inherent ability of the human mind facilitates us to recognize a person by exploiting various …
inherent ability of the human mind facilitates us to recognize a person by exploiting various …