Adaptive multimodal emotion detection architecture for social robots

J Heredia, E Lopes-Silva, Y Cardinale… - Ieee …, 2022 - ieeexplore.ieee.org
Emotion recognition is a strategy for social robots used to implement better Human-Robot
Interaction and model their social behaviour. Since human emotions can be expressed in …

Experimental analysis using deep learning techniques for safety and riskless transport-a sustainable mobility environment for post covid-19

D Selvakarthi, D Sivabalaselvamani… - 2021 6th …, 2021 - ieeexplore.ieee.org
Safety living in the society is the greatest challenge due to COVID-19. Transportation has a
crucial role in ensuring the safety of society. To bring back the normality of the society after …

Efficient Player Prediction and Suggestion using Machine Learning for IPL Tournament

M Ramalingam, S Gokul… - 2022 International …, 2022 - ieeexplore.ieee.org
In the era of ML, the machine learning algorithms and mechanisms can be implemented in
all fields. It has a wide range of applications, including image identification, speech …

Artificial Intelligence in data-driven analytics for the personalized healthcare

D Sivabalaselvamani, D Selvakarthi… - 2021 international …, 2021 - ieeexplore.ieee.org
Among the various developments in progress over the last decade, we have seen the
generous growth of information investigation to take care of, plan, and use a lot of …

Forest fire and landmines identification with the support of drones surveillance for better environmental protection: a survey

D Sivabalaselvamani, D Selvakarthi… - … on Smart Systems …, 2022 - ieeexplore.ieee.org
A robotics mechanism is a successful technology for different types of products with the
expected output. The drone-based Unmanned Aerial Vehicle (UAV) was developed and …

Survey on IoT Enabled Motion Detector Camera in Smart Industry

D Sivabalaselvamani, D Selvakarthi… - … on Smart Systems …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) holds a crucial part in the most recent advancements in various
areas. It works in numerous areas consistently which incorporates structures, frameworks …

Investigation on heart disease using machine learning algorithms

D Sivabalaselvamani, D Selvakarthi… - 2021 International …, 2021 - ieeexplore.ieee.org
Coronary delivery path coronary disease is caused in coronary corridors by atherosclerosis
which results in heart failure and respiratory failure. Angiography, an exorbitantly tedious …

A Novel Experimental Strategy on Medium Density Cleaner Automation in Paper and Pulp Industry Using PLC

D Selvakarthi, D Sivabalaselvamani… - … on Emerging Smart …, 2021 - ieeexplore.ieee.org
In the screening area of the paper mill has the high density impurities which are removed
from the pulp and it is stored in the machine chest. The pulp in the machine chest is directly …

A crossbreed framework for heart disease prediction using SVM and rough set techniques

S Hemalatha, A Tamilarasi, T Kavitha… - 2022 international …, 2022 - ieeexplore.ieee.org
Today's innovations in health-care technology are progressively assisting in the
management of patients with various ailments. The most lethal of them is heart illness, which …

Analyzing accuracy of road accident dataset based on fatality rate

M Ramalingam, P Yogavelu, S Yamuna… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Street mishaps are most likely the most important reason influencing unexpected interaction
of people and monetary resulting in property exploitation. Street well-being is associated …