Zobrazeno 1 - 10
of 6 388
pro vyhledávání: '"Muntasir"'
Consider the math problem: "Lily received 3 cookies from her best friend yesterday and ate 5 for breakfast. Today, her friend gave her 3 more cookies. How many cookies does Lily have now?" Many large language models (LLMs) in previous research approa
Externí odkaz:
http://arxiv.org/abs/2410.18921
Seismocardiogram (SCG) signals can play a crucial role in remote cardiac monitoring, capturing important events such as aortic valve opening (AO) and mitral valve closure (MC). However, existing SCG methods for detecting AO and MC typically rely on e
Externí odkaz:
http://arxiv.org/abs/2408.09513
Seismocardiography (SCG) has gained significant attention due to its potential applications in monitoring cardiac health and diagnosing cardiovascular conditions. Conventional SCG methods rely on accelerometers attached to the chest, which can be unc
Externí odkaz:
http://arxiv.org/abs/2408.09512
Autor:
Xiong, Yuzan, Christy, Andrew, Yan, Zixin, Pishehvar, Amin, Mahdi, Muntasir, Wu, Junming, Cahoon, James F., Yang, Binbin, Hamilton, Michael C., Zhang, Xufeng, Zhang, Wei
Publikováno v:
Phys. Rev. Applied (2024)
Hybrid magnonic systems have emerged as a promising direction for information propagation with preserved coherence. Due to high tunability of magnons, their interactions with microwave photons can be engineered to probe novel phenomena based on stron
Externí odkaz:
http://arxiv.org/abs/2408.07197
In this study, we present an innovative fusion of language models and query analysis techniques to unlock cognition in artificial intelligence. The introduced open-source AI system seamlessly integrates a Chess engine with a language model, enabling
Externí odkaz:
http://arxiv.org/abs/2408.04910
Autor:
Alhamadah, Ahmed, Mamun, Muntasir, Harms, Henry, Redondo, Mathew, Lin, Yu-Zheng, Pacheco, Jesus, Salehi, Soheil, Satam, Pratik
The onset of Industry 4.0 is rapidly transforming the manufacturing world through the integration of cloud computing, machine learning (ML), artificial intelligence (AI), and universal network connectivity, resulting in performance optimization and i
Externí odkaz:
http://arxiv.org/abs/2407.18951
Due to massive adoption of social media, detection of users' depression through social media analytics bears significant importance, particularly for underrepresented languages, such as Bangla. This study introduces a well-grounded approach to identi
Externí odkaz:
http://arxiv.org/abs/2407.09187
Routing represents a pivotal concern in the context of Wireless Sensor Networks (WSN) owing to its divergence from traditional network routing paradigms. The inherent dynamism of the WSN environment, coupled with the scarcity of available resources,
Externí odkaz:
http://arxiv.org/abs/2402.12526
Autor:
Rieyan, Sakib Anwar, News, Md. Raisul Kabir, Rahman, A. B. M. Muntasir, Khan, Sadia Afrin, Zaarif, Sultan Tasneem Jawad, Alam, Md. Golam Rabiul, Hassan, Mohammad Mehedi, Ianni, Michele, Fortino, Giancarlo
Publikováno v:
Information Fusion, 102, 102004 (2024)
Data fabric is an automated and AI-driven data fusion approach to accomplish data management unification without moving data to a centralized location for solving complex data problems. In a Federated learning architecture, the global model is traine
Externí odkaz:
http://arxiv.org/abs/2402.09795
Autor:
Lin, Yu-Zheng, Mamun, Muntasir, Chowdhury, Muhtasim Alam, Cai, Shuyu, Zhu, Mingyu, Latibari, Banafsheh Saber, Gubbi, Kevin Immanuel, Bavarsad, Najmeh Nazari, Caputo, Arjun, Sasan, Avesta, Homayoun, Houman, Rafatirad, Setareh, Satam, Pratik, Salehi, Soheil
The escalating complexity of modern computing frameworks has resulted in a surge in the cybersecurity vulnerabilities reported to the National Vulnerability Database (NVD) by practitioners. Despite the fact that the stature of NVD is one of the most
Externí odkaz:
http://arxiv.org/abs/2312.13530