[PDF][PDF] A machine learning approach for stress detection using a wireless physical activity tracker

B Padmaja, VVR Prasad… - International Journal of …, 2018 - researchgate.net
Stress is a psychological condition that reduces the quality of sleep and affects every facet of
life. This paper provides an effective method for the detection of cognitive stress levels using …

A novel design of autonomous cars using IoT and visual features

B Padmaja, PVN Rao, MM Bala… - … I-SMAC) I-SMAC (IoT in …, 2018 - ieeexplore.ieee.org
Autonomous car is a ground vehicle that is capable of driving without user interference.
Traffic congestion and number of collisions are major issues in road traffic control due to …

A novel random split point procedure using extremely randomized (Extra) trees ensemble method for human activity recognition

B Padmaja, VVR Prasa… - … Endorsed Transactions on …, 2020 - publications.eai.eu
INTRODUCTION: Automatic detection and recognition of various human physical
movements while performing daily life activities such as walking, jogging, running, sitting …

[HTML][HTML] An efficient AP-ANN-based multimethod fusion model to detect stress through EEG signal analysis

K Saranya, S Jayanthy - Computational Intelligence and …, 2022 - ncbi.nlm.nih.gov
Stress is a universal emotion that every human experiences daily. Psychologists say stress
may lead to heart attack, depression, hypertension, strokes, or even sudden death. Many …

A comparative study of ensemble methods in the field of education: Bagging and Boosting algorithms

H Şevgin - International Journal of Assessment Tools in Education, 2023 - dergipark.org.tr
This study aims to conduct a comparative study of Bagging and Boosting algorithms among
ensemble methods and to compare the classification performance of TreeNet and Random …

Understanding citizens' communication channel preferences during natural disasters: a synchronicity-based, mixed-methods exploration using survey and geospatial …

VS Diwanji, L Arpan, MB Ulak, JJ Hou… - International journal of …, 2020 - Elsevier
This study examined the role of channel synchronicity (synchronous versus asynchronous)
in shaping perceptions of citizens (n= 467) of a mid-sized city in the Southeastern US …

DetectStress: A novel stress detection system based on smartphone and wireless physical activity tracker

B Padmaja, VVR Prasad, KVN Sunitha… - … Conference on Artificial …, 2019 - Springer
Stress has become an inevitable part of human lives and a major concern for public health.
Especially, in today's highly competitive world, stress levels of individuals have increased …

Identification of traditional Chinese medicine constitutions and physiological indexes risk factors in metabolic syndrome: a data mining approach

Y Tang, T Zhao, N Huang, W Lin… - Evidence‐Based …, 2019 - Wiley Online Library
Objective. In order to find the predictive indexes for metabolic syndrome (MS), a data mining
method was used to identify significant physiological indexes and traditional Chinese …

Deviation and cluster analysis using inductive alpha miner in process mining

M Shanmuga Sundari, RK Nayak - Communication, Software and …, 2022 - Springer
Process mining is an effective method to discover information about the sequence of event
execution in the business. Process mining helps interconnect event logs data and find any …

Exploring the heated debate over reopening for economy or continuing lockdown for public health safety concerns about COVID-19 in Twitter

S Shokoohyar… - … Journal of Business …, 2021 - inderscienceonline.com
This paper explores US residents' opinion regarding whether to reopen for the economy or
to continue lockdown for public health safety concerns, by analysing 1.3 million unique …