Zobrazeno 1 - 10
of 2 405
pro vyhledávání: '"Ramesh Kumar P."'
Autor:
Aishwarya Duraiswamy, Nancy Mano Sneha A., Sherina Jebakani K., Sellakumar Selvaraj, Lydia Pramitha J., Ramchander Selvaraj, Indira Petchiammal K., Sharmili Kather Sheriff, Jenita Thinakaran, Samundeswari Rathinamoorthy, Ramesh Kumar P.
Publikováno v:
Frontiers in Plant Science, Vol 13 (2023)
The consumption of healthy food, in order to strengthen the immune system, is now a major focus of people worldwide and is essential to tackle the emerging pandemic concerns. Moreover, research in this area paves the way for diversification of human
Externí odkaz:
https://doaj.org/article/fe17ae097ce94649a28e3a8830b97ef1
Autor:
Azghan, Reza Rahimi, Glodosky, Nicholas C., Sah, Ramesh Kumar, Cuttler, Carrie, McLaughlin, Ryan, Cleveland, Michael J., Ghasemzadeh, Hassan
Wearable sensor systems have demonstrated a great potential for real-time, objective monitoring of physiological health to support behavioral interventions. However, obtaining accurate labels in free-living environments remains difficult due to limit
Externí odkaz:
http://arxiv.org/abs/2410.03211
Publikováno v:
Al Ameen Journal of Medical Sciences, Vol 12, Iss 02, Pp 77-82 (2019)
Aims: This invitro study was done to evaluate the chemical and biological properties of 4 brands of metal orthodontic brackets. Objectives: To analyse the chemical composition, the corrosion resistance, Nickel ion release and cytotoxicity of the orth
Externí odkaz:
https://doaj.org/article/39cc65676e5646fdba937b17610a4646
Autor:
Sah, Ramesh Kumar, Ghasemzadeh, Hassan
Sensor systems are constrained by design and finding top sensor channel(s) for a given computational task is an important but hard problem. We define an optimization framework and mathematically formulate the minimum-cost channel selection problem. W
Externí odkaz:
http://arxiv.org/abs/2402.00875
Autor:
Baniya, Rupesh, Talchabhadel, Rocky, Panthi, Jeeban, Ghimire, Ganesh R, Sharma, Sanjib, Khadka, Prithvi Dhwoj, Shin, Sanghoon, Pokhrel, Yadu, Bhattarai, Utsav, Prajapati, Rajaram, Thapa, Bhesh Raj, Maskey, Ramesh Kumar
There is a pressing need for a transition from fossil fuel to renewable energy to meet the increasing energy demands and reduce greenhouse gas (GHG) emissions. The Himalayas possess substantial renewable energy potential that can be harnessed through
Externí odkaz:
http://arxiv.org/abs/2211.13306
Autor:
Sah, Ramesh Kumar, McDonell, Michael, Pendry, Patricia, Parent, Sara, Ghasemzadeh, Hassan, Cleveland, Michael J
Stress detection and classification from wearable sensor data is an emerging area of research with significant implications for individuals' physical and mental health. In this work, we introduce a new dataset, ADARP, which contains physiological dat
Externí odkaz:
http://arxiv.org/abs/2206.14568
Autor:
Gupta, Akshansh, Agrawal, Ramesh Kumar, Kirar, Jyoti Singh, Andreu-Perez, Javier, Ding, Wei-Ping, Lin, Chin-Teng, Prasad, Mukesh
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51.5 (2019): 3080-3092
In this paper classification of mental task-root Brain-Computer Interfaces (BCI) is being investigated, as those are a dominant area of investigations in BCI and are of utmost interest as these systems can be augmented life of people having severe di
Externí odkaz:
http://arxiv.org/abs/2111.08154
Autor:
Sah, Ramesh Kumar, Ghasemzadeh, Hassan
Stress detection and monitoring is an active area of research with important implications for the personal, professional, and social health of an individual. Current approaches for affective state classification use traditional machine learning algor
Externí odkaz:
http://arxiv.org/abs/2107.05666
Publikováno v:
Journal of Laboratory Physicians, Vol 15, Iss 02, Pp 311-315 (2023)
Immunofluorescence on human epithelial type 2 cells is the standard screening assay for the detection of antinuclear antibodies (ANA). Cytoplasmic speckled patterns are a common finding. However, the less commonly reported ones include the cytoplasmi
Externí odkaz:
https://doaj.org/article/dadff8032c9d42e0b6d4d3fd63f50fa8
Autor:
Sah, Ramesh Kumar, Ghasemzadeh, Hassan
Machine learning is used for inference and decision making in wearable sensor systems. However, recent studies have found that machine learning algorithms are easily fooled by the addition of adversarial perturbations to their inputs. What is more in
Externí odkaz:
http://arxiv.org/abs/2003.07982