Zobrazeno 1 - 10
of 23 761
pro vyhledávání: '"A Osei"'
Autor:
Cheung, Siu Wun, Choi, Youngsoo, Chung, Seung Whan, Fattebert, Jean-Luc, Kendrick, Coleman, Osei-Kuffuor, Daniel
Large-scale eigenvalue problems arise in various fields of science and engineering and demand computationally efficient solutions. In this study, we investigate the subspace approximation for parametric linear eigenvalue problems, aiming to mitigate
Externí odkaz:
http://arxiv.org/abs/2412.08891
Autor:
Sivasubramaniam, Sithursan, Osei-Akoto, Cedric, Zhang, Yi, Stockinger, Kurt, Fuerst, Jonathan
Electronic health records (EHRs) are stored in various database systems with different database models on heterogeneous storage architectures, such as relational databases, document stores, or graph databases. These different database models have a b
Externí odkaz:
http://arxiv.org/abs/2411.05521
Autor:
Yeh, Chin-Chia Michael, Der, Audrey, Saini, Uday Singh, Lai, Vivian, Zheng, Yan, Wang, Junpeng, Dai, Xin, Zhuang, Zhongfang, Fan, Yujie, Chen, Huiyuan, Aboagye, Prince Osei, Wang, Liang, Zhang, Wei, Keogh, Eamonn
The Matrix Profile (MP), a versatile tool for time series data mining, has been shown effective in time series anomaly detection (TSAD). This paper delves into the problem of anomaly detection in multidimensional time series, a common occurrence in r
Externí odkaz:
http://arxiv.org/abs/2409.09298
Heart disease is a serious worldwide health issue because it claims the lives of many people who might have been treated if the disease had been identified earlier. The leading cause of death in the world is cardiovascular disease, usually referred t
Externí odkaz:
http://arxiv.org/abs/2409.03697
Autor:
Wu, Keke, Quadri, Ghulam Jilani, Wang, Arran Zeyu, Osei-Tutu, David Kwame, Petersen, Emma, Koushik, Varsha, Szafir, Danielle Albers
Individuals with Intellectual and Developmental Disabilities (IDD) have unique needs and challenges when working with data. While visualization aims to make data more accessible to a broad audience, our understanding of how to design cognitively acce
Externí odkaz:
http://arxiv.org/abs/2408.16072
Autor:
Bonsu, Kwadwo Osei
This paper proposes a geometric approach for estimating the $\alpha$ value in Q learning. We establish a systematic framework that optimizes the {\alpha} parameter, thereby enhancing learning efficiency and stability. Our results show that there is a
Externí odkaz:
http://arxiv.org/abs/2408.04911
Autor:
Agyemang, Isaac Osei, Chen, Jianwen, Zeng, Liaoyuan, Adjei-Mensah, Isaac, Acheampong, Daniel, Boateng, Gordon Owusu, Baffour, Adu Asare
Image environments and noisy labels hinder deep learning-based inference models in structural damage detection. Post-detection, there is the challenge of reliance on manual assessments of detected damages. As a result, Guided-DetNet, characterized by
Externí odkaz:
http://arxiv.org/abs/2407.19694
Autor:
Osei-Bryson, Kweku-Muata
Most published Information Systems research are of the behavioral science research (BSR) category rather than the design science research (DSR) category. This is due in part to the BSR orientation of many IS doctoral programs, which often do not invo
Externí odkaz:
http://arxiv.org/abs/2408.07230
Autor:
Adelani, David Ifeoluwa, Ojo, Jessica, Azime, Israel Abebe, Zhuang, Jian Yun, Alabi, Jesujoba O., He, Xuanli, Ochieng, Millicent, Hooker, Sara, Bukula, Andiswa, Lee, En-Shiun Annie, Chukwuneke, Chiamaka, Buzaaba, Happy, Sibanda, Blessing, Kalipe, Godson, Mukiibi, Jonathan, Kabongo, Salomon, Yuehgoh, Foutse, Setaka, Mmasibidi, Ndolela, Lolwethu, Odu, Nkiruka, Mabuya, Rooweither, Muhammad, Shamsuddeen Hassan, Osei, Salomey, Samb, Sokhar, Guge, Tadesse Kebede, Stenetorp, Pontus
Despite the widespread adoption of Large language models (LLMs), their remarkable capabilities remain limited to a few high-resource languages. Additionally, many low-resource languages (e.g. African languages) are often evaluated only on basic text
Externí odkaz:
http://arxiv.org/abs/2406.03368