Sriram Krishnan
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View article: Solving the Octopus Problem in Digital Engineering – Towards Reusable Asset Specification 3.0
Solving the Octopus Problem in Digital Engineering – Towards Reusable Asset Specification 3.0 Open
In the animal kingdom, survival depends on knowledge transfer. But the solitary octopus is an exception. Brilliant and adaptable, each octopus dies with its hard‐won knowledge. Engineering projects often face the same plight: insights rema…
TESLA: Trusted Execution Support for Legacy Embedded Applications Open
Legacy applications continue to be widely used in embedded systems, despite high maintenance costs, primarily due to the challenges involved in modifying them. Traditional Trusted Execution Environments (TEEs), though valuable for securing…
An algorithm for heterogeneous wireless network connections for user preferences and services Open
Heterogeneous wireless networks (HWNs) present a challenge in selecting the optimal network for user devices due to the overlapping availability of multiple networks. In order to help users choose the best HWN connection, this research is …
Encapsulated bio‐carbon soot film for measuring nano‐size beam diameter of low power lasers Open
Nano‐scale laser beam size and its shape information are essential parameters in most optics‐based precision measurements and nano‐scale material processing. It is also quite challenging to measure nano‐size optical beams accurately for bo…
View article: DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit
DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit Open
Multi-component compounding is a prevalent phenomenon in Sanskrit, and understanding the implicit structure of a compound's components is crucial for deciphering its meaning. Earlier approaches in Sanskrit have focused on binary compounds …
Normalized Dataset for Sanskrit Word Segmentation and Morphological Parsing Open
Sanskrit processing has seen a surge in the use of data-driven approaches over the past decade. Various tasks such as segmentation, morphological parsing, and dependency analysis have been tackled through the development of state-of-the-ar…
View article: DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit
DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit Open
Jivnesh Sandhan, Yaswanth Narsupalli, Sreevatsa Muppirala, Sriram Krishnan, Pavankumar Satuluri, Amba Kulkarni, Pawan Goyal. Findings of the Association for Computational Linguistics: EMNLP 2023. 2023.
Improved graph neural network-based green anaconda optimization for segmenting and classifying the lung cancer Open
Normal lung cells incur genetic damage over time, which causes unchecked cell growth and ultimately leads to lung cancer. Nearly 85% of lung cancer cases are caused by smoking, but there exists factual evidence that beta-carotene supplemen…
View article: Are mRNA based transcriptomic signatures ready for diagnosing tuberculosis in the clinic? - A review of evidence and the technological landscape
Are mRNA based transcriptomic signatures ready for diagnosing tuberculosis in the clinic? - A review of evidence and the technological landscape Open
Advances in discovery and validation of diagnostic, prognostic and treatment-monitoring transcriptomic signatures of tuberculosis (TB) disease could accelerate the goal to end TB. We conducted a review to evaluate whether mRNA transcriptom…
Sanskrit Segmentation Revisited Open
Computationally analyzing Sanskrit texts requires proper segmentation in the initial stages. There have been various tools developed for Sanskrit text segmentation. Of these, Gérard Huet's Reader in the Sanskrit Heritage Engine analyzes th…
Validation and Normalization of DCS corpus using Sanskrit Heritage tools to build a tagged Gold Corpus Open
The Digital Corpus of Sanskrit records around 650,000 sentences along with their morphological and lexical tagging. But inconsistencies in morphological analysis, and in providing crucial information like the segmented word, urges the need…