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 …
A fuzzy inference system for a visually grounded robot state of mind
In order for robots to interact with humans on real-world scenarios or objects, these robots
need to construct a representation ('state of mind') of these scenarios that a) are grounded in …
need to construct a representation ('state of mind') of these scenarios that a) are grounded in …
Camera calibration based on improved differential evolution particle swarm
W Fu, L Wu - Measurement and Control, 2023 - journals.sagepub.com
Aiming at the problem of camera calibration with multiple parameters, this paper proposes
the fusion optimization algorithm of improved differential evolution and particle swarm in the …
the fusion optimization algorithm of improved differential evolution and particle swarm in the …
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 …
Robocup@ home education 2020 best performance: Robobreizh, a modular approach
A Dizet, CL Bono, A Legeleux, C Buche - arXiv preprint arXiv …, 2021 - arxiv.org
Every year, the Robocup@ Home competition challenges teams and robots' abilities. In
2020, the RoboCup@ Home Education challenge was organized online, altering the usual …
2020, the RoboCup@ Home Education challenge was organized online, altering the usual …
Binocular camera calibration based on dual update strategy weighted differential evolution particle swarm optimization
Z Guiyang, H Ju, Y Ming, Z Xing, W Liang… - Infrared and Laser …, 2021 - irla.cn
Aiming at the problem of camera calibration with multi-parameters in space target pose
measurement, a novel calibration method based on dual update strategy weighted …
measurement, a novel calibration method based on dual update strategy weighted …
Integrating convolutional neural networks and reinforcement learning for autonomous person-following in social robotics
DS Ortiz Almanza - 2024 - repositorio.uniandes.edu.co
The integration of advanced robotics with sophisticated machine learning techniques offers
substantial opportunities to enhance the autonomous capabilities of social robots. This …
substantial opportunities to enhance the autonomous capabilities of social robots. This …
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 …