Zobrazeno 1 - 10
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pro vyhledávání: '"A. Dinesh Kumar"'
In this paper, we studied the impact of the off-diagonal SNSI parameters in the future long-baseline neutrino oscillation experiments DUNE and P2SO. In our analysis, we found that the sensitivities of these experiments altered in a very non-trivial w
Externí odkaz:
http://arxiv.org/abs/2410.23014
Autor:
Panda, Dinesh Kumar, Benjamin, Colin
Quantum states exhibiting single-particle entanglement (SPE) can encode and process quantum information more robustly than their multi-particle analogs. Understanding the vulnerability and resilience of SPE to disorder is therefore crucial. This lett
Externí odkaz:
http://arxiv.org/abs/2410.12710
Social media has a significant impact on people's lives. Hate speech on social media has emerged as one of society's most serious issues in recent years. Text and pictures are two forms of multimodal data that are distributed within articles. Unimoda
Externí odkaz:
http://arxiv.org/abs/2409.05136
Social media, particularly Twitter, has seen a significant increase in incidents like trolling and hate speech. Thus, identifying hate speech is the need of the hour. This paper introduces a computational framework to curb the hate content on the web
Externí odkaz:
http://arxiv.org/abs/2409.05134
The trustworthiness of multimedia is being increasingly evaluated by advanced Image Manipulation Localization (IML) techniques, resulting in the emergence of the IML field. An effective manipulation model necessitates the extraction of non-semantic d
Externí odkaz:
http://arxiv.org/abs/2409.00896
Deepfakes, which employ GAN to produce highly realistic facial modification, are widely regarded as the prevailing method. Traditional CNN have been able to identify bogus media, but they struggle to perform well on different datasets and are vulnera
Externí odkaz:
http://arxiv.org/abs/2408.16892
The natural language processing and multimedia field has seen a notable surge in interest in multimodal sentiment recognition. Hence, this study aims to employ Target-Dependent Multimodal Sentiment Analysis (TDMSA) to identify the level of sentiment
Externí odkaz:
http://arxiv.org/abs/2408.10248
Various linguistic and non-linguistic clues, such as excessive emphasis on a word, a shift in the tone of voice, or an awkward expression, frequently convey sarcasm. The computer vision problem of sarcasm recognition in conversation aims to identify
Externí odkaz:
http://arxiv.org/abs/2408.10246
Sarcasm is a type of irony, characterized by an inherent mismatch between the literal interpretation and the intended connotation. Though sarcasm detection in text has been extensively studied, there are situations in which textual input alone might
Externí odkaz:
http://arxiv.org/abs/2408.02595
The emoticons are symbolic representations that generally accompany the textual content to visually enhance or summarize the true intention of a written message. Although widely utilized in the realm of social media, the core semantics of these emoti
Externí odkaz:
http://arxiv.org/abs/2408.02571