Zobrazeno 1 - 10
of 4 312
pro vyhledávání: '"Mounika, A."'
It is well known that the usefulness of a machine learning model is due to its ability to generalize to unseen data. This study uses three popular cyberbullying datasets to explore the effects of data, how it's collected, and how it's labeled, on the
Externí odkaz:
http://arxiv.org/abs/2412.00609
Transformer-based models have revolutionized the field of natural language processing. To understand why they perform so well and to assess their reliability, several studies have focused on questions such as: Which linguistic properties are encoded
Externí odkaz:
http://arxiv.org/abs/2410.02611
Autor:
Joshi, Abhinav, Mohanty, Romit, Kanakanti, Mounika, Mangla, Andesha, Choudhary, Sudeep, Barbate, Monali, Modi, Ashutosh
Indian Sign Language has limited resources for developing machine learning and data-driven approaches for automated language processing. Though text/audio-based language processing techniques have shown colossal research interest and tremendous impro
Externí odkaz:
http://arxiv.org/abs/2407.05404
Identifying user's opinions and stances in long conversation threads on various topics can be extremely critical for enhanced personalization, market research, political campaigns, customer service, conflict resolution, targeted advertising, and cont
Externí odkaz:
http://arxiv.org/abs/2406.16833
Autor:
Vadaparty, Annapurna, Zingaro, Daniel, Smith IV, David H., Padala, Mounika, Alvarado, Christine, Benario, Jamie Gorson, Porter, Leo
The recent, widespread availability of Large Language Models (LLMs) like ChatGPT and GitHub Copilot may impact introductory programming courses (CS1) both in terms of what should be taught and how to teach it. Indeed, recent research has shown that L
Externí odkaz:
http://arxiv.org/abs/2406.15379
Accounting for the increased concern for public safety, automatic abnormal event detection and recognition in a surveillance scene is crucial. It is a current open study subject because of its intricacy and utility. The identification of aberrant eve
Externí odkaz:
http://arxiv.org/abs/2311.14095
In today's rapidly evolving technological landscape and advanced software development, the rise in cyber security attacks has become a pressing concern. The integration of robust cyber security defenses has become essential across all phases of softw
Externí odkaz:
http://arxiv.org/abs/2311.00691
Autor:
Sangeeta Shah, L Rani Kumari, Firdous Fatima, Sri Manju Challakolusu, Nishitha Tummala, Bathula Mounika
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 12, Pp 06-09 (2024)
Introduction: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Obstetric sepsis is a significant contributor to maternal and perinatal morbidity and mortality, especially in low-income countries. Sev
Externí odkaz:
https://doaj.org/article/44f59d642afd4730b50902f9a558d614
Autor:
Sarad Pawar Naik Bukke, Rajasekhar Komarla Kumarachari, Eashwar Sai Komarla Rajasekhar, Jamal Basha Dudekula, Mounika Kamati
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-19 (2024)
Abstract This narrative review explores the intersection of computational intelligence (CI) techniques and the Sustainable Development Goals (SDGs) in the context of female cancer patients. With the increasing prevalence of cancer among women worldwi
Externí odkaz:
https://doaj.org/article/52b627c88f1e41e6867545342f7e5118
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 11, Pp 149-154 (2024)
Background: Lens-induced glaucomas (LIGs) occur due to the lens’s size, position, or inflammation, causing either open-angle or angle-closure mechanisms. These conditions vary clinically, and understanding their effect on post-operative cataract su
Externí odkaz:
https://doaj.org/article/f559c87ac4174bd799d32f0b2d3a9337