Zobrazeno 1 - 10
of 860
pro vyhledávání: '"P Chellapandi"'
Publikováno v:
Veterinary and Animal Science, Vol 6, Iss , Pp 86-94 (2018)
Methanobacterium formicicum (Methanobacteriaceae family) is an endosymbiotic methanogenic Archaean found in the digestive tracts of ruminants and elsewhere. It has been significantly implicated in global CH4 emission during enteric fermentation proce
Externí odkaz:
https://doaj.org/article/6d08cc4cdb2c4c3aa75eb0c211134b2b
A novel Decentralized Noisy Model Update Tracking Federated Learning algorithm (FedNMUT) is proposed that is tailored to function efficiently in the presence of noisy communication channels that reflect imperfect information exchange. This algorithm
Externí odkaz:
http://arxiv.org/abs/2403.13247
In the landscape of technological innovation, autonomous racing is a dynamic and challenging domain that not only pushes the limits of technology, but also plays a crucial role in advancing and fostering a greater acceptance of autonomous systems. Th
Externí odkaz:
http://arxiv.org/abs/2402.02603
Autor:
C Sangavai, P Chellapandi
Publikováno v:
Biotechnology Reports, Vol 16, Iss , Pp 32-43 (2017)
Model-driven systems engineering has been more fascinating process for the microbial production of biofuel and bio-refineries in chemical and pharmaceutical industries. Genome-scale modeling and simulations have been guided for metabolic engineering
Externí odkaz:
https://doaj.org/article/86bc3003da8743eb93e443c78d8ca544
Autor:
Yuan, Liangqi, Han, Dong-Jun, Chellapandi, Vishnu Pandi, Żak, Stanislaw H., Brinton, Christopher G.
Multimodal federated learning (FL) aims to enrich model training in FL settings where devices are collecting measurements across multiple modalities (e.g., sensors measuring pressure, motion, and other types of data). However, key challenges to multi
Externí odkaz:
http://arxiv.org/abs/2310.07048
Autor:
Chellapandi, Vishnu Pandi, Yuan, Liangqi, Brinton, Christopher G., Zak, Stanislaw H, Wang, Ziran
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), including perception, planning, and control. However, its reliance on vehicular data for model training presents significant challenges related to in-vehicl
Externí odkaz:
http://arxiv.org/abs/2308.10407
Decentralized learning and optimization is a central problem in control that encompasses several existing and emerging applications, such as federated learning. While there exists a vast literature on this topic and most methods centered around the c
Externí odkaz:
http://arxiv.org/abs/2303.10695
Connected and Automated Vehicles (CAVs) are one of the emerging technologies in the automotive domain that has the potential to alleviate the issues of accidents, traffic congestion, and pollutant emissions, leading to a safe, efficient, and sustaina
Externí odkaz:
http://arxiv.org/abs/2303.10677
Publikováno v:
Medicine in Omics, Vol 12, Iss , Pp 100040- (2024)
Clostridium botulinum strain Hall produces potent botulinum neurotoxin type A1, which causes food-borne, infant, and wound botulism in humans. Antibiotics and botulinum antitoxins can control growth and prevent botulinum toxicity. However, limited in
Externí odkaz:
https://doaj.org/article/bff25611fff74b46b9d954afacf1b70c
Publikováno v:
Medicine in Omics, Vol 11, Iss , Pp 100038- (2024)
Currently, vaccines have shown efficacy against new SARS-CoV-2 variants. This study aimed to develop a systems medicine framework that can predict and validate drug combinations that can be repurposed for treating COVID-19 and its comorbidities, spec
Externí odkaz:
https://doaj.org/article/27709a14c2484e0c8581a1905fd23491