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pro vyhledávání: '"P., Anusuya"'
Advancements in object detection algorithms have opened new avenues for assistive technologies that cater to the needs of visually impaired individuals. This paper presents a novel approach for indoor assistance to the blind by addressing the challen
Externí odkaz:
http://arxiv.org/abs/2409.07469
Autor:
Pal, Anusuya, Gope, Amalesh
Sessile drying droplets manifest distinct morphological patterns, encompassing diverse systems viz., DNA, proteins, blood, and protein-liquid crystal (LC) complexes. This study employs an integrated methodology that combines drying droplet, image tex
Externí odkaz:
http://arxiv.org/abs/2401.11745
Sessile drying droplets in various bio-relevant systems, encompassing passive bio-colloids like DNA, proteins, and blood to active microbes, gain considerable attention due to intricate interplay among different convective flows, droplet pinning, mec
Externí odkaz:
http://arxiv.org/abs/2312.15180
Autor:
Kalaiselvi, P., Anusuya, S.
In recent days, Deep Learning (DL) techniques have become an emerging transformation in the field of machine learning, artificial intelligence, computer vision, and so on. Subsequently, researchers and industries have been highly endorsed in the medi
Externí odkaz:
http://arxiv.org/abs/2311.11520
Publikováno v:
Clinical Dermatology Review, Vol 8, Iss 4, Pp 357-360 (2024)
Actinomycosis is an uncommon chronic suppurative infection caused by a Gram-positive anerobic bacterium Actinomyces israelii or Actinomyces gerencseriae. Lingual actinomycosis is a rare form of actinomycosis with a prevalence of 3%. We report a case
Externí odkaz:
https://doaj.org/article/c1365bbd274d4c09b05c658e6777e157
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Sessile drying droplets in various bio-related systems attracted attention due to the complex interactions between convective flows, droplet pinning, mechanical stress, wettability, and the emergence of unique patterns. This study focuses on
Externí odkaz:
https://doaj.org/article/f20e40cc0d594f68a11bff687a616629
Autor:
Krishnan, Anusuya
The exponential growth of online social network platforms and applications has led to a staggering volume of user-generated textual content, including comments and reviews. Consequently, users often face difficulties in extracting valuable insights o
Externí odkaz:
http://arxiv.org/abs/2308.11520
Autor:
Krishnan, Anusuya
Customer reviews play a crucial role in assessing customer satisfaction, gathering feedback, and driving improvements for businesses. Analyzing these reviews provides valuable insights into customer sentiments, including compliments, comments, and su
Externí odkaz:
http://arxiv.org/abs/2308.11519
Autor:
Krishnan, Anusuya
Deceptive text classification is a critical task in natural language processing that aims to identify deceptive o fraudulent content. This study presents a comparative analysis of machine learning and transformer-based approaches for deceptive text c
Externí odkaz:
http://arxiv.org/abs/2308.05476
Autor:
Krishnan, Anusuya Baby Hari
In the contemporary digital landscape, online reviews have become an indispensable tool for promoting products and services across various businesses. Marketers, advertisers, and online businesses have found incentives to create deceptive positive re
Externí odkaz:
http://arxiv.org/abs/2307.10617