Zobrazeno 1 - 10
of 1 035
pro vyhledávání: '"Ekambaram P"'
Autor:
Suryaa Manoharan, Ekambaram Perumal
Publikováno v:
Medicine in Omics, Vol 12, Iss , Pp 100037- (2024)
Hepatocellular carcinoma (HCC), a type of liver cancer, ranks as the third-leading cause of death due to the lack of definite biomarkers for early-stage detection. HCC progression occurs by the dysregulation of several genes. Though several studies f
Externí odkaz:
https://doaj.org/article/8b377f9c3ebb40a2b56308dfc67bb1b2
Autor:
Devunuri Suresh, Ekambaram Porpatham
Publikováno v:
Case Studies in Thermal Engineering, Vol 53, Iss , Pp 103832- (2024)
As a viable solution to meet rising energy costs and reduce greenhouse gases, alcohol fuels are considered the most promising renewable fuel and ethanol is a potential fuel for spark ignition engines. In the present study, experiments were conducted
Externí odkaz:
https://doaj.org/article/90954dabb7dd4bdab262cdc462d53d4d
Publikováno v:
Journal of Xenobiotics, Vol 12, Iss 4, Pp 378-405 (2022)
Saikosaponin D (SSD), an active compound derived from the traditional plant Radix bupleuri, showcases potential in disease management owing to its antioxidant, antipyretic, and anti-inflammatory properties. The toxicological effects of SSD mainly inc
Externí odkaz:
https://doaj.org/article/41dc0c43ca1847a58af4268154160208
Autor:
Bhattacharya, Debarpan, Mukherjee, Sumanta, Kamanchi, Chandramouli, Ekambaram, Vijay, Jati, Arindam, Dayama, Pankaj
Time series anomaly detection (TSAD) is an evolving area of research motivated by its critical applications, such as detecting seismic activity, sensor failures in industrial plants, predicting crashes in the stock market, and so on. Across domains,
Externí odkaz:
http://arxiv.org/abs/2409.13053
Autor:
Kamanchi, Chandramouli, Mukherjee, Sumanta, Sampath, Kameshwaran, Dayama, Pankaj, Jati, Arindam, Ekambaram, Vijay, Phan, Dzung
Activation functions are non-linearities in neural networks that allow them to learn complex mapping between inputs and outputs. Typical choices for activation functions are ReLU, Tanh, Sigmoid etc., where the choice generally depends on the applicat
Externí odkaz:
http://arxiv.org/abs/2408.03599
Autor:
Satheeswaran Balasubramanian, Kanmani Gunasekaran, Saranyadevi Sasidharan, Vignesh Jeyamanickavel Mathan, Ekambaram Perumal
Publikováno v:
Toxicology Reports, Vol 7, Iss , Pp 583-595 (2020)
The advent of new technologies has paved the rise of various chemicals that are being employed in industrial as well as consumer products. This leads to the accumulation of these xenobiotic compounds in the environment where they pose a serious threa
Externí odkaz:
https://doaj.org/article/e171bec73df24219800a463737c8ba81
Autor:
Kundu, Debarshi, Ghosh, Archisman, Ekambaram, Srinivasan, Wang, Jian, Dokholyan, Nikolay, Ghosh, Swaroop
We show that protein sequences can be thought of as sentences in natural language processing and can be parsed using the existing Quantum Natural Language framework into parameterized quantum circuits of reasonable qubits, which can be trained to sol
Externí odkaz:
http://arxiv.org/abs/2403.06890
Autor:
Azhwar Raghunath, Kiruthika Sundarraj, Raju Nagarajan, Frank Arfuso, Jinsong Bian, Alan P. Kumar, Gautam Sethi, Ekambaram Perumal
Publikováno v:
Redox Biology, Vol 17, Iss , Pp 297-314 (2018)
Exposure to antioxidants and xenobiotics triggers the expression of a myriad of genes encoding antioxidant proteins, detoxifying enzymes, and xenobiotic transporters to offer protection against oxidative stress. This articulated universal mechanism i
Externí odkaz:
https://doaj.org/article/4d3c385e06134370a6834f0cd2b26089
Autor:
Ekambaram, Vijay, Jati, Arindam, Dayama, Pankaj, Mukherjee, Sumanta, Nguyen, Nam H., Gifford, Wesley M., Reddy, Chandra, Kalagnanam, Jayant
Large pre-trained models excel in zero/few-shot learning for language and vision tasks but face challenges in multivariate time series (TS) forecasting due to diverse data characteristics. Consequently, recent research efforts have focused on develop
Externí odkaz:
http://arxiv.org/abs/2401.03955
Autor:
Palaskar, Santosh, Ekambaram, Vijay, Jati, Arindam, Gantayat, Neelamadhav, Saha, Avirup, Nagar, Seema, Nguyen, Nam H., Dayama, Pankaj, Sindhgatta, Renuka, Mohapatra, Prateeti, Kumar, Harshit, Kalagnanam, Jayant, Hemachandra, Nandyala, Rangaraj, Narayan
The efficiency of business processes relies on business key performance indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together as multiva
Externí odkaz:
http://arxiv.org/abs/2310.20280