Zobrazeno 1 - 10
of 17 709
pro vyhledávání: '"Helal AT"'
Changing temperature, precipitation regimes, and sea level rise, often associated with climate change, cause salinity intrusion into groundwater and surface water, affecting aquatic ecosystems. This study investigates the impacts of salinity on the p
Externí odkaz:
http://arxiv.org/abs/2412.05483
Autor:
Helal, Abdullah Al
This work focuses on the degree bound of maps between balls with maximum geometric rank and minimum target dimension where this geometric rank occurs. Specifically, we show that rational proper maps between $\mathbb{B}_n$ and $\mathbb{B}_N$ with $n \
Externí odkaz:
http://arxiv.org/abs/2410.14959
Autor:
Liu, Buhua, Shao, Shitong, Li, Bao, Bai, Lichen, Xu, Zhiqiang, Xiong, Haoyi, Kwok, James, Helal, Sumi, Xie, Zeke
Diffusion models have emerged as the leading paradigm in generative modeling, excelling in various applications. Despite their success, these models often misalign with human intentions, generating outputs that may not match text prompts or possess d
Externí odkaz:
http://arxiv.org/abs/2409.07253
Density Functional Theory (DFT) is used extensively in the computation of electronic properties of matter, with various applications. Approximating the exchange-correlation (XC) functional is the key to the Kohn-Sham DFT approach, the basis of most D
Externí odkaz:
http://arxiv.org/abs/2408.05316
Autor:
Xiong, Haoyi, Bian, Jiang, Li, Yuchen, Li, Xuhong, Du, Mengnan, Wang, Shuaiqiang, Yin, Dawei, Helal, Sumi
Combining Large Language Models (LLMs) with search engine services marks a significant shift in the field of services computing, opening up new possibilities to enhance how we search for and retrieve information, understand content, and interact with
Externí odkaz:
http://arxiv.org/abs/2407.00128
Process mining extracts valuable insights from event data to help organizations improve their business processes, which is essential for their growth and success. By leveraging process mining techniques, organizations gain a comprehensive understandi
Externí odkaz:
http://arxiv.org/abs/2406.08530
Autor:
Helal, Hatem, Fitzgibbon, Andrew
Electronic structure simulation (ESS) has been used for decades to provide quantitative scientific insights on an atomistic scale, enabling advances in chemistry, biology, and materials science, among other disciplines. Following standard practice in
Externí odkaz:
http://arxiv.org/abs/2406.03121
Autor:
Laukemann, Jan, Helal, Ahmed E., Anderson, S. Isaac Geronimo, Checconi, Fabio, Soh, Yongseok, Tithi, Jesmin Jahan, Ranadive, Teresa, Gravelle, Brian J, Petrini, Fabrizio, Choi, Jee
High-dimensional sparse data emerge in many critical application domains such as cybersecurity, healthcare, anomaly detection, and trend analysis. To quickly extract meaningful insights from massive volumes of these multi-dimensional data, scientists
Externí odkaz:
http://arxiv.org/abs/2403.06348
Autor:
Mathiasen, Alexander, Helal, Hatem, Balanca, Paul, Krzywaniak, Adam, Parviz, Ali, Hvilshøj, Frederik, Banaszewski, Blazej, Luschi, Carlo, Fitzgibbon, Andrew William
Density Functional Theory (DFT) accurately predicts the quantum chemical properties of molecules, but scales as $O(N_{\text{electrons}}^3)$. Sch\"utt et al. (2019) successfully approximate DFT 1000x faster with Neural Networks (NN). Arguably, the big
Externí odkaz:
http://arxiv.org/abs/2402.04030
We consider proper holomorphic maps of ball complements and differences in complex euclidean spaces of dimension at least two. Such maps are always rational, which naturally leads to a related problem of classifying rational maps taking concentric sp
Externí odkaz:
http://arxiv.org/abs/2401.06364