முனைவர் கு. சுதாகர் / Dr. K. Sudhakar
16 Papers
38 Citations
முனைவர் கு. சுதாகர் / Dr. K. Sudhakar is an academic researcher. The author has contributed to research in topics: Chemistry & Computer science. The author has an hindex of 6, co-authored 16 publications. Previous affiliations of முனைவர் கு. சுதாகர் / Dr. K. Sudhakar include Singapore Management University.
Author Tools
Chat about Author
Papers
Multi-center federated learning: clients clustering for better personalization
TL;DR: In this article , the authors propose a multi-center aggregation mechanism for federated learning, which learns multiple global models from the non-IID user data and simultaneously derives the optimal matching between users and centers.
Robust interfacial Ru-RuO2 heterostructures for highly efficient and ultrastable oxygen evolution reaction and overall water splitting in acidic media
TL;DR: In this paper , a robust Ru-RuO2-NC heterostructure with electronic cooperative interfaces was designed and cleverly constructed for oxygen evolution reaction (OER) under acidic conditions.
35
Healthy-Angular, unhealthy-circular: Effects of the fit between shapes and healthiness on consumer food preferences
TL;DR: The authors found that consumers tend to associate angular shapes with healthy (vs. circular) products and such association leads to a fit effect on consumers' food preferences, and that the sense of feeling right is the mechanism underlying the fit effect.
28
EV-Based reconfigurable smart grid management using support vector regression learning technique machine learning
முனைவர் கு. சுதாகர் / Dr. K. Sudhakar,Jing Jiang,Laihang Yu,Xiaowei Zhang,Xinhui Ding,Cong Wu +5 more
TL;DR: In this paper, the authors proposed a RMG energy management method based on machine learning, which considers a reconfigurable frame according to the remote link switching and segmentation, and investigated advanced support vector machines to model and estimate the charging demand (ChD) of hybrid electric vehicles (HEVs).
16
Edge-rich MoS2 nanosheets anchored on layered Ti3C2 MXene for highly efficient and rapid catalytic reduction of 4-nitrophenol and methylene blue
TL;DR: In this paper , a simple one-step hydrothermal synthesis strategy for depositing edge-rich MoS2 nanosheets on conductive layered Ti3C2 MXene was reported.
11