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of 931
pro vyhledávání: '"Kabir, Muhammad"'
Analysis of child development facts and myths using text mining techniques and classification models
The rapid dissemination of misinformation on the internet complicates the decision-making process for individuals seeking reliable information, particularly parents researching child development topics. This misinformation can lead to adverse consequ
Externí odkaz:
http://arxiv.org/abs/2408.13091
Autor:
Kabir, Muhammad Rafsan, Sultan, Rafeed Mohammad, Asif, Ihsanul Haque, Ahad, Jawad Ibn, Rahman, Fuad, Amin, Mohammad Ruhul, Mohammed, Nabeel, Rahman, Shafin
Aligning large language models (LLMs) with a human reasoning approach ensures that LLMs produce morally correct and human-like decisions. Ethical concerns are raised because current models are prone to generating false positives and providing malicio
Externí odkaz:
http://arxiv.org/abs/2408.11879
Assistive technologies have been developed to enhance blind users' typing performance, focusing on speed, accuracy, and effort reduction. One such technology is word prediction software, designed to minimize keystrokes required for text input. This s
Externí odkaz:
http://arxiv.org/abs/2408.10791
Autor:
Islam, Sheikh Mohammed Shariful, Abrar, Moloud, Tegegne, Teketo, Loranjo, Liliana, Karmakar, Chandan, Awal, Md Abdul, Hossain, Md. Shahadat, Kabir, Muhammad Ashad, Mahmud, Mufti, Khosravi, Abbas, Siopis, George, Moses, Jeban C, Maddison, Ralph
Machine learning models have the potential to identify cardiovascular diseases (CVDs) early and accurately in primary healthcare settings, which is crucial for delivering timely treatment and management. Although population-based CVD risk models have
Externí odkaz:
http://arxiv.org/abs/2407.16721
The COVID-19 pandemic has had adverse effects on both physical and mental health. During this pandemic, numerous studies have focused on gaining insights into health-related perspectives from social media. In this study, our primary objective is to d
Externí odkaz:
http://arxiv.org/abs/2402.09897
Autor:
Kabir, Muhammad Ashad, Rahman, Sheikh Sowmen, Islam, Mohammad Mainul, Ahmed, Sayed, Laird, Craig
Publikováno v:
JMIR mHealth and uHealth, Vol 9, Iss 3, p e24202 (2021)
BackgroundAs the use of smartphones increases globally across various fields of research and technology, significant contributions to the sectors related to health, specifically foot health, can be observed. Numerous smartphone apps are now being use
Externí odkaz:
https://doaj.org/article/133c9d25cc9b4467babc47bf46e10ebd
Data-driven advances have resulted in significant improvements in dairy production. However, the meat industry has lagged behind in adopting data-driven approaches, underscoring the crucial need for data standardisation to facilitate seamless data tr
Externí odkaz:
http://arxiv.org/abs/2310.17684
Livestock producers often need help in standardising (i.e., converting and validating) their livestock event data. This article introduces a novel solution, LEI2JSON (Livestock Event Information To JSON). The tool is an add-on for Google Sheets, adhe
Externí odkaz:
http://arxiv.org/abs/2310.17414
Autor:
Aziz, Abdul, Chowdhury, Nihad Karim, Kabir, Muhammad Ashad, Chy, Abu Nowshed, Siddique, Md. Jawad
Desire is a set of human aspirations and wishes that comprise verbal and cognitive aspects that drive human feelings and behaviors, distinguishing humans from other animals. Understanding human desire has the potential to be one of the most fascinati
Externí odkaz:
http://arxiv.org/abs/2310.14143
Autor:
Warman, Dylan, Kabir, Muhammad Ashad
Fake news has emerged as a critical global issue, magnified by the COVID-19 pandemic, underscoring the need for effective preventive tools. Leveraging machine learning, including deep learning techniques, offers promise in combatting fake news. This
Externí odkaz:
http://arxiv.org/abs/2310.13890