Zobrazeno 1 - 10
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pro vyhledávání: '"Alireza, A."'
This study introduces a novel methodology for managing train network disruptions across the entire rail network, leveraging digital tools and methodologies. The approach involves two stages, taking into account possible and practical features such as
Externí odkaz:
http://arxiv.org/abs/2411.14671
Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions
Autor:
Arab, Aliasghar, Khaleghi, Milad, Partovi, Alireza, Abbaspour, Alireza, Shinde, Chaitanya, Mousavi, Yashar, Azimi, Vahid, Karimmoddini, Ali
This paper presents a comprehensive hazard analysis, risk assessment, and loss evaluation for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous vehicles. The EMRM system is engineered to enhance collision avoidance and mitigat
Externí odkaz:
http://arxiv.org/abs/2411.02706
Publikováno v:
2024 IEEE 8th International Conference on Information and Communication Technology (CICT)
Deep learning techniques have proven highly effective in image classification, but their deployment in resourceconstrained environments remains challenging due to high computational demands. Furthermore, their interpretability is of high importance w
Externí odkaz:
http://arxiv.org/abs/2412.03915
Autor:
Čilić, Ivan, Lackinger, Anna, Frangoudis, Pantelis, Žarko, Ivana Podnar, Furutanpey, Alireza, Murturi, Ilir, Dustdar, Schahram
Deploying a Hierarchical Federated Learning (HFL) pipeline across the computing continuum (CC) requires careful organization of participants into a hierarchical structure with intermediate aggregation nodes between FL clients and the global FL server
Externí odkaz:
http://arxiv.org/abs/2412.03385
The tetragonal heavy fermion compound CeRh2As2 exhibits unconventional superconductivity accompanied by other broken symmetry phases that have been identified as presumably small moment intrinsic antiferromagnetism at low magnetic fields and induced
Externí odkaz:
http://arxiv.org/abs/2412.02537
HISs have recently shown the ability to support leaky waves, and to excite plasmonic and HIS resonance frequency modes for use as an antenna. In this paper, we analyzed, designed, and fabricated a TMA by directly feeding edge-located HIS cells throug
Externí odkaz:
http://arxiv.org/abs/2412.02502
Transfer learning is an umbrella term for machine learning approaches that leverage knowledge gained from solving one problem (the source domain) to improve speed, efficiency, and data requirements in solving a different but related problem (the targ
Externí odkaz:
http://arxiv.org/abs/2412.01783
Autor:
Tirandaz, Arash, Ramezanpour, Abolfazl, Rottschäfer, Vivi, Babaei, Mehrad, Zinovyev, Andrei, Mashaghi, Alireza
Living cells presumably employ optimized information transfer methods, enabling efficient communication even in noisy environments. As expected, the efficiency of chemical communications between cells depends on the properties of the molecular messen
Externí odkaz:
http://arxiv.org/abs/2412.00771
Autor:
Torabian, Alireza, Urner, Ruth
Publikováno v:
Explainable Artificial Intelligence, Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2024, pp. 207-231
Calibration is a frequently invoked concept when useful label probability estimates are required on top of classification accuracy. A calibrated model is a function whose values correctly reflect underlying label probabilities. Calibration in itself
Externí odkaz:
http://arxiv.org/abs/2412.00943
We present an optimal method for encoding cluster assignments of arbitrary data sets. Our method, Random Cycle Coding (RCC), encodes data sequentially and sends assignment information as cycles of the permutation defined by the order of encoded eleme
Externí odkaz:
http://arxiv.org/abs/2412.00369