Zobrazeno 1 - 10
of 14 266
pro vyhledávání: '"Kazmi, A."'
Autor:
Asif, Muneeba, Kazmi, Mohammad Kumail, Rahman, Mohammad Ashiqur, Hasan, Syed Rafay, Homsi, Soamar
As edge computing and the Internet of Things (IoT) expand, horizontal collaboration (HC) emerges as a distributed data processing solution for resource-constrained devices. In particular, a convolutional neural network (CNN) model can be deployed on
Externí odkaz:
http://arxiv.org/abs/2409.17279
In this article, we consider p and hp least-squares spectral element methods for one-dimensional elliptic boundary layer problems. We derive stability estimates and design a numerical scheme based on minimizing the residuals in the sense of least squ
Externí odkaz:
http://arxiv.org/abs/2409.14426
A digital currency is money in a digital form. In this model, maintaining integrity of the supply is a core concern, therefore protections against double-spending are often at the heart of a secure digital money scheme. Quantum money exploits the qua
Externí odkaz:
http://arxiv.org/abs/2408.04563
Autor:
Hegre, Håvard, Vesco, Paola, Colaresi, Michael, Vestby, Jonas, Timlick, Alexa, Kazmi, Noorain Syed, Becker, Friederike, Binetti, Marco, Bodentien, Tobias, Bohne, Tobias, Brandt, Patrick T., Chadefaux, Thomas, Drauz, Simon, Dworschak, Christoph, D'Orazio, Vito, Fritz, Cornelius, Frank, Hannah, Gleditsch, Kristian Skrede, Häffner, Sonja, Hofer, Martin, Klebe, Finn L., Macis, Luca, Malaga, Alexandra, Mehrl, Marius, Metternich, Nils W., Mittermaier, Daniel, Muchlinski, David, Mueller, Hannes, Oswald, Christian, Pisano, Paola, Randahl, David, Rauh, Christopher, Rüter, Lotta, Schincariol, Thomas, Seimon, Benjamin, Siletti, Elena, Tagliapietra, Marco, Thornhill, Chandler, Vegelius, Johan, Walterskirchen, Julian
This draft article outlines a prediction challenge where the target is to forecast the number of fatalities in armed conflicts, in the form of the UCDP `best' estimates, aggregated to the VIEWS units of analysis. It presents the format of the contrib
Externí odkaz:
http://arxiv.org/abs/2407.11045
Deep learning models have gained increasing prominence in recent years in the field of solar pho-tovoltaic (PV) forecasting. One drawback of these models is that they require a lot of high-quality data to perform well. This is often infeasible in pra
Externí odkaz:
http://arxiv.org/abs/2405.14472
Publikováno v:
Energy Build. 2024;312: 114216
Advances in machine learning and increased computational power have driven progress in energy-related research. However, limited access to private energy data from buildings hinders traditional regression models relying on historical data. While gene
Externí odkaz:
http://arxiv.org/abs/2404.00525
Autor:
Weyn, Jonathan A., Kumar, Divya, Berman, Jeremy, Kazmi, Najeeb, Klocek, Sylwester, Luferenko, Pete, Thambiratnam, Kit
We present an operations-ready multi-model ensemble weather forecasting system which uses hybrid data-driven weather prediction models coupled with the European Centre for Medium-range Weather Forecasts (ECMWF) ocean model to predict global weather a
Externí odkaz:
http://arxiv.org/abs/2403.15598
Autor:
Kazmi, Mishaal, Lautraite, Hadrien, Akbari, Alireza, Soroco, Mauricio, Tang, Qiaoyue, Wang, Tao, Gambs, Sébastien, Lécuyer, Mathias
We introduce a privacy auditing scheme for ML models that relies on membership inference attacks using generated data as "non-members". This scheme, which we call PANORAMIA, quantifies the privacy leakage for large-scale ML models without control of
Externí odkaz:
http://arxiv.org/abs/2402.09477
Autor:
Raussi, Petra, Kamsamrong, Jirapa, Paspatis, Alexandros, Heussen, Kai, Zerihun, Tesfaye Amare, Widl, Edmund, Andrén, Filip Pröstl, Kazmi, Jawad H, Strasser, Thomas I., Castro, Felipe, Pellegrino, Luigi
Smart energy systems comprise multiple domains like power, thermal, control, information, and communication technology, which increases the complexity of research and development studies. This expansion also requires larger and ever so complex experi
Externí odkaz:
http://arxiv.org/abs/2310.06451
Autor:
Ali Hamza, Mariam Mahmood, Abasin Ulasyar, Syed Najeeb Ali Kazmi, Sheeraz Iqbal, Yazeed Yasin Ghadi, Ali Saeed Almuflih, Z. M. S. Elbarbary
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The rapid evolution of power electronics has triggered an intensified focus on thermal management within electronics circuits, stemming from the critical necessity to mitigate thermal-related failure rates. Thermal management in power electr
Externí odkaz:
https://doaj.org/article/3806ace6bf4c40f7965d36f11ba02a73