Zobrazeno 1 - 10
of 621
pro vyhledávání: '"Das, Partha P"'
Manipulation of small-scale particles across streamlines is the elementary task of microfluidic devices. Many such devices operate at very low Reynolds numbers and deflect particles using arrays of obstacles, but a systematic quantification of releva
Externí odkaz:
http://arxiv.org/abs/2409.08452
This paper presents an ontology design along with knowledge engineering, and multilingual semantic reasoning techniques to build an automated system for assimilating culinary information for Indian food in the form of a knowledge graph. The main focu
Externí odkaz:
http://arxiv.org/abs/2409.00830
Summarizing software artifacts is an important task that has been thoroughly researched. For evaluating software summarization approaches, human judgment is still the most trusted evaluation. However, it is time-consuming and fatiguing for evaluators
Externí odkaz:
http://arxiv.org/abs/2409.00630
Autor:
Das, Partha, Dey, Tarak Nath
We investigate the phase-induced susceptibilities for both components of the probe vector beam (PVB) within an atomic system. The atoms are prepared in a non-degenerate four-level configuration. The transitions are coupled by a $\pi$ polarized contro
Externí odkaz:
http://arxiv.org/abs/2406.01447
Autor:
Banerjee, Soumya, Sanyal, Debarshi Kumar, Chattopadhyay, Samiran, Bhowmick, Plaban Kumar, Das, Partha Pratim
Digital libraries often face the challenge of processing a large volume of diverse document types. The manual collection and tagging of metadata can be a time-consuming and error-prone task. To address this, we aim to develop an automatic metadata ex
Externí odkaz:
http://arxiv.org/abs/2401.12220
Autor:
Majumdar, Srijoni, Paul, Soumen, Paul, Debjyoti, Bandyopadhyay, Ayan, Chattopadhyay, Samiran, Das, Partha Pratim, Clough, Paul D, Majumder, Prasenjit
The Information Retrieval in Software Engineering (IRSE) track aims to develop solutions for automated evaluation of code comments in a machine learning framework based on human and large language model generated labels. In this track, there is a bin
Externí odkaz:
http://arxiv.org/abs/2311.03374
Syntactic foams are a promising candidate for applications in marine and oil and gas industries in underwater cables and pipelines due to their excellent insulation properties. The effective transmission of electrical energy through cables requires i
Externí odkaz:
http://arxiv.org/abs/2310.11200
We theoretically investigate rapid adiabatic passage(RAP)-based super-resolution imaging in a two-level quantum dot system interacting with two structured beams. To understand the physical mechanism behind the formation of super-resolution for the ex
Externí odkaz:
http://arxiv.org/abs/2308.07790
Autor:
Majumdar, Srijoni, Das, Partha Pratim
To address the issue of rising software maintenance cost due to program comprehension challenges, we propose SMARTKT (Smart Knowledge Transfer), a search framework, which extracts and integrates knowledge related to various aspects of an application
Externí odkaz:
http://arxiv.org/abs/2308.06653
Topic modeling has emerged as a dominant method for exploring large document collections. Recent approaches to topic modeling use large contextualized language models and variational autoencoders. In this paper, we propose a negative sampling mechani
Externí odkaz:
http://arxiv.org/abs/2303.14951