Zobrazeno 1 - 10
of 87 490
pro vyhledávání: '"Othman, A"'
Publikováno v:
Procedia Engineering 2012
Despite its excellent performance in microelectronic industry, silicon was not able to perform well in photonic devices arena. This is because the silicon has never been a good optical source mainly due to its indirect band gap structure. Many of the
Externí odkaz:
http://arxiv.org/abs/2411.08442
Autor:
Sanner, Antoine P., Stieber, Jonathan, Grauhan, Nils F., Kim, Suam, Brockmann, Marc A., Othman, Ahmed E., Mukhopadhyay, Anirban
Intracranial Hemorrhage is a potentially lethal condition whose manifestation is vastly diverse and shifts across clinical centers worldwide. Deep-learning-based solutions are starting to model complex relations between brain structures, but still st
Externí odkaz:
http://arxiv.org/abs/2411.00578
Autor:
Bhardwaj, Vivek, Noonia, Ajit, Chaurasia, Sandeep, Kumar, Mukesh, Rashid, Abdulnaser, Othman, Mohamed Tahar Ben
Publikováno v:
Journal Europ\'een des Syst\`emes Automatis\'es, Vol. 57, No. 5, pp. 1523-1530 (2024)
Robotic Process Automation (RPA) has emerged as a game-changing technology in data extraction, revolutionizing the way organizations process and analyze large volumes of documents such as invoices, purchase orders, and payment advices. This study inv
Externí odkaz:
http://arxiv.org/abs/2408.14791
Autor:
Sanner, Antoine P., Grauhan, Nils F., Brockmann, Marc A., Othman, Ahmed E., Mukhopadhyay, Anirban
Whole-body CT is used for multi-trauma patients in the search of any and all injuries. Since an initial assessment needs to be rapid and the search for lesions is done for the whole body, very little time can be allocated for the inspection of a spec
Externí odkaz:
http://arxiv.org/abs/2408.10768
Autor:
Sanner, Antoine P., Grauhan, Nils F., Brockmann, Marc A., Othman, Ahmed E., Mukhopadhyay, Anirban
Patients with Intracranial Hemorrhage (ICH) face a potentially life-threatening condition, and patient-centered individualized treatment remains challenging due to possible clinical complications. Deep-Learning-based methods can efficiently analyze t
Externí odkaz:
http://arxiv.org/abs/2407.21580
This study comprehensively examined the structural, electronic, electrochemical, and energy storage properties of boron-vacancy induced porous boron nitride monolayers (BN:VB) as multifunctional materials, anodes for MIBs and H2 storage applications.
Externí odkaz:
http://arxiv.org/abs/2407.13224
Autor:
Tari, Henry, Khan, Danial, Rutten, Justus, Othman, Darian, Kaushal, Rishabh, Bertaglia, Thales, Iamnitchi, Adriana
Social media datasets are essential for research on disinformation, influence operations, social sensing, hate speech detection, cyberbullying, and other significant topics. However, access to these datasets is often restricted due to costs and platf
Externí odkaz:
http://arxiv.org/abs/2407.08323
Vulnerabilities in software security can remain undiscovered even after being exploited. Linking attacks to vulnerabilities helps experts identify and respond promptly to the incident. This paper introduces VULDAT, a classification tool using a sente
Externí odkaz:
http://arxiv.org/abs/2407.06759
Nowadays, threat reports from cybersecurity vendors incorporate detailed descriptions of attacks within unstructured text. Knowing vulnerabilities that are related to these reports helps cybersecurity researchers and practitioners understand and adju
Externí odkaz:
http://arxiv.org/abs/2407.06753
Autor:
Schwemmbauer, Christina, Hochberg, Yonit, Isleif, Katharina-Sophie, Januschek, Friederike, Lehmann, Benjamin V., Lindner, Axel, Meyer, Manuel, Othman, Gulden, Gimeno, José Alejandro Rubiera
Transition Edge Sensors (TES) are superconducting microcalorimeters that can be used for single-photon detection with extremely low backgrounds. When they are within their superconducting transition region, small temperature fluctuations - like the e
Externí odkaz:
http://arxiv.org/abs/2407.02954