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 empirical review of calibration techniques for the pepper humanoid robot's RGB and depth camera

AK Singh, N Baranwal, KF Richter - Intelligent Systems and Applications …, 2020 - Springer
This paper presents a comparative study of different calibration techniques to align the
Pepper Humanoid Robot's depth camera with respect to its RGB camera. Both cameras are …

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 …

RD-Hand: a real-time regression-based detector for dynamic hand gesture

C Jian, X Liu, M Zhang - Applied Intelligence, 2022 - Springer
Existing gesture-recognition methods have poor performance on the mobile terminal,
because of their limited computing resources and noisy environments such as Spatio …

Real-time continuous handwritten trajectories recognition based on a regression-based temporal pyramid network

C Jian, M Wang, M Ye, M Zhang - Journal of Real-Time Image Processing, 2024 - Springer
In the field of dynamic gesture trajectory recognition, it is difficult to real-time recognize its
semantics on the continuous handwritten trajectories because of the difficulty of trajectory …

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 …

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 …

[图书][B] User interface challenges of banking ATM systems in Nigeria

FC Aguboshim - 2018 - search.proquest.com
The use of banking automated teller machine (ATM) technological innovations have
significant importance and benefits in Nigeria, but numerous investigations have shown that …

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 …

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 …