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pro vyhledávání: '"A., Dawood"'
This paper explores modifications to General Relativity (GR) by considering higher-order curvature terms in the gravitational action, specifically focusing on the quadratic Ricci scalar and a particular cubic contraction of the Riemann tensor. These
Externí odkaz:
http://arxiv.org/abs/2410.01266
Autor:
Dawood, Peter, Blaimer, Martin, Herrler, Jürgen, Liebig, Patrick, Weinmüller, Simon, Malik, Shaihan, Jakob, Peter M., Zaiss, Moritz
Purpose: To non-heuristically identify dedicated variable flip angle (VFA) schemes optimized for the point-spread function (PSF) and signal-to-noise ratio (SNR) of multiple tissues in 3D FSE sequences with very long echo trains at 7T. Methods: The pr
Externí odkaz:
http://arxiv.org/abs/2409.20251
Autor:
Shokry, Ahmed, Gomaa, Walid, Zaenker, Tobias, Dawood, Murad, Maged, Shady A., Awad, Mohammed I., Bennewitz, Maren
Peg-in-hole assembly in unknown environments is a challenging task due to onboard sensor errors, which result in uncertainty and variations in task parameters such as the hole position and orientation. Meta Reinforcement Learning (Meta RL) has been p
Externí odkaz:
http://arxiv.org/abs/2409.16208
Autor:
Dawood, Jina, Gren, Lucas
Leadership in agile teams is a collective responsibility where team members share leadership work based on expertise and skills. However, the understanding of leadership in this context is limited. This study explores the under-researched area of pro
Externí odkaz:
http://arxiv.org/abs/2409.11685
Accurate inertial parameter identification is crucial for the simulation and control of robots encountering intermittent contact with the environment. Classically, robots' inertial parameters are obtained from CAD models that are not precise (and som
Externí odkaz:
http://arxiv.org/abs/2409.09850
Machine learning in computational pathology (CPath) often aggregates patch-level predictions from multi-gigapixel Whole Slide Images (WSIs) to generate WSI-level prediction scores for crucial tasks such as survival prediction and drug effect predicti
Externí odkaz:
http://arxiv.org/abs/2408.05195
Improving calibration performance in deep learning (DL) classification models is important when planning the use of DL in a decision-support setting. In such a scenario, a confident wrong prediction could lead to a lack of trust and/or harm in a high
Externí odkaz:
http://arxiv.org/abs/2405.06487
Autor:
Mirkhan, Star Dawood, Omer, Skala Kamaran, Ali, Hussein Mohammed, Hamza, Mahmood Yashar, Rashid, Tarik Ahmed, Nedunchezhian, Poornima
Delegation and leadership are critical components of software management, as they play a crucial role in determining the success of the software development process. This study examined the relationship between delegation and leadership in software m
Externí odkaz:
http://arxiv.org/abs/2405.01612
Autor:
Fatema, Kanij, Haider, Fazle Dawood, Turpa, Nirzona Ferdousi, Azmal, Tanveer, Ahmed, Sourav, Hasan, Navid, Rahman, Mohammad Akhlaqur, Sarkar, Biplab Kumar, Jahin, Afrar, Hassan, Md. Rezuwan, Zihad, Md Foriduzzaman, Faruque, Rubayet Sabbir, Sushmit, Asif, Imtiaz, Mashrur, Sadeque, Farig, Rahman, Syed Shahrier
The International Phonetic Alphabet (IPA) serves to systematize phonemes in language, enabling precise textual representation of pronunciation. In Bengali phonology and phonetics, ongoing scholarly deliberations persist concerning the IPA standard an
Externí odkaz:
http://arxiv.org/abs/2403.20084
Autor:
Kothawala, Dawood
One version of the principle of equivalence, as originally formulated by Einstein, states that ``gravity" can be mimicked locally by going to an ``accelerated frame of reference". As highlighted by Synge, the physical content of this principle remain
Externí odkaz:
http://arxiv.org/abs/2403.16229