B
Balaji Veeramani
Researcher at Dow AgroSciences
Publications - 23
Citations - 616
Balaji Veeramani is an academic researcher from Dow AgroSciences. The author has contributed to research in topics: Nucleic acid & Nonlinear system. The author has an hindex of 7, co-authored 23 publications receiving 549 citations. Previous affiliations of Balaji Veeramani include Johns Hopkins University School of Medicine & Arizona State University.
Papers
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Journal ArticleDOI
Adaptive epileptic seizure prediction system
Leonidas D. Iasemidis,Deng-Shan Shiau,Wanpracha Art Chaovalitwongse,James Chris Sackellares,Panos M. Pardalos,Jose C. Principe,Paul R. Carney,Awadhesh Prasad,Balaji Veeramani,Konstantinos Tsakalis +9 more
TL;DR: An adaptive procedure to prospectively analyze continuous, long-term EEG recordings when only the occurring time of the first seizure is known and results indicate that ASPA can be applied to implantable devices for diagnostic and therapeutic purposes.
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DeepSort: deep convolutional networks for sorting haploid maize seeds
TL;DR: A novel application of a deep convolutional network (DeepSort) for the sorting of haploid seeds in these realistic settings is proposed that outperforms existing state-of-the-art machine learning classifiers that uses features based on color, texture and morphology.
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Robust approaches to quantitative ratiometric FRET imaging of CFP/YFP fluorophores under confocal microscopy
TL;DR: Identification of key technical challenges and practical compensating solutions promise robust sub‐cellular ratiometric FRET imaging under confocal microscopy and a time savings over traditional live‐cell calibration methods.
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Systems Biology-Based Identification of Mycobacterium tuberculosis Persistence Genes in Mouse Lungs
Noton K. Dutta,Nirmalya Bandyopadhyay,Balaji Veeramani,Gyanu Lamichhane,Petros C. Karakousis,Petros C. Karakousis,Joel S. Bader +6 more
TL;DR: Computational methods that predict new persistence genes by combining known examples with growing databases of biological networks are described, as an alternative to brute force experimental screens, and demonstrated that they are highly accurate.
Journal ArticleDOI
Measuring the direction and the strength of coupling in nonlinear Systems-a modeling approach in the State space
Balaji Veeramani,K. Narayanan,Awadhesh Prasad,Leonidas D. Iasemidis,Andreas Spanias,K. Tsakalis +5 more
TL;DR: Through a surrogate analysis, it is shown that the proposed method is more reliable than the directed transfer function in identifying the direction and strength of the involved interactions.