Zobrazeno 1 - 10
of 2 044
pro vyhledávání: '"P. Jeyaraj"'
Publikováno v:
Next Materials, Vol 1, Iss 4, Pp 100035- (2023)
The present work focuses on the experimental investigation of the thermal buckling response of 3D printed functionally graded glass micro balloon (GMB) reinforced high density polyethylene (HDPE) composites and their respective sandwiches under non-u
Externí odkaz:
https://doaj.org/article/89c4e01da4b846b0976caccbca6f10fb
Publikováno v:
Journal of Natural Fibers, Vol 20, Iss 1 (2023)
The use of plant fibers as a reinforcement in composites has increased daily owing to their favorable environmental considerations. Fabric properties play a significant role in alignment during composites processing, enhancing the composite propertie
Externí odkaz:
https://doaj.org/article/17e31bde84d34bc08d909f4744893969
Publikováno v:
Tribology in Industry, Vol 41, Iss 4, Pp 622-633 (2019)
A study has been carried out to investigate the Mechanical and Tribological Properties of Woven Sisal Fabric. Two Plain fabrics were prepared by changing gram per unit area (GSM), and one weft rib fabric is prepared to understand the effect of woven
Externí odkaz:
https://doaj.org/article/c93b9281537b4860b638225d63048974
Autor:
Subramanian, Barathi, Jeyaraj, Rathinaraja, Ugli, Rakhmonov Akhrorjon Akhmadjon, Kim, Jeonghong
Activation functions enable neural networks to learn complex representations by introducing non-linearities. While feedforward models commonly use rectified linear units, sequential models like recurrent neural networks, long short-term memory (LSTMs
Externí odkaz:
http://arxiv.org/abs/2402.09034
Autor:
Subramanian, Barathi, Jeyaraj, Rathinaraja, Ugli, Rakhmonov Akhrorjon Akhmadjon, Kim, Jeonghong
Activation function is a pivotal component of deep learning, facilitating the extraction of intricate data patterns. While classical activation functions like ReLU and its variants are extensively utilized, their static nature and simplicity, despite
Externí odkaz:
http://arxiv.org/abs/2402.08244
Autor:
Gangadharan, Kapilya, Malathi, K., Purandaran, Anoop, Subramanian, Barathi, Jeyaraj, Rathinaraja
This research aims to explore the impact of Machine Learning (ML) on the evolution and efficacy of Recommendation Systems (RS), particularly in the context of their growing significance in commercial business environments. Methodologically, the study
Externí odkaz:
http://arxiv.org/abs/2402.08109
Akademický článek
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Autor:
Jeyaraj, Manuela Nayantara, Sucharitharathna, Senuri, Senarath, Chathurika, Kanagaraj, Yasanthy, Udayakumara, Indraka
PostgreSQL is an object-relational database (ORDBMS) that was introduced into the database community and has been avidly used for a variety of information extraction use cases. It is also known to be an advanced SQL-compliant open source Object RDBMS
Externí odkaz:
http://arxiv.org/abs/2205.04834
Autor:
Upadhyay, Ujjwal, Ranjan, Mukul, Golla, Satish, Tanamala, Swetha, Sreenivas, Preetham, Chilamkurthy, Sasank, Pandian, Jeyaraj, Tarpley, Jason
A stroke occurs when an artery in the brain ruptures and bleeds or when the blood supply to the brain is cut off. Blood and oxygen cannot reach the brain's tissues due to the rupture or obstruction resulting in tissue death. The Middle cerebral arter
Externí odkaz:
http://arxiv.org/abs/2203.03622
Autor:
Antonini, Valerio, Niu, Yingjie, Jeyaraj, Manuela Nayantara, Baberwal, Sonal Santosh, Onwuegbuche, Faithful Chiagoziem, Foskin, Robert
With the outbreak of COVID-19 pandemic, a dire need to effectively identify the individuals who may have come in close-contact to others who have been infected with COVID-19 has risen. This process of identifying individuals, also termed as 'Contact
Externí odkaz:
http://arxiv.org/abs/2111.14454