376 citations
- University College LondonGB6 papers
- The University of Texas at AustinUS5 papers
- Analysis Group (United States)US2 papers
- Chinese University of Hong KongHK2 papers
- Eindhoven University of TechnologyNL2 papers
- Technical University of MunichDE2 papers
- University of Southern CaliforniaUS2 papers
- Agrupación Astronómica de la SaforES1 paper
- AIT Austrian Institute of Technology GmbHAT1 paper
- Akdeniz UniversityTR1 paper
- Alexandria UniversityEG1 paper
- American University in CairoEG1 paper
25 papers
Plasma Turbulence in the Lunar Environment Across Solar Wind and Magnetotail Conditions: Observations from Chandrayaan-2 Radio Science experiment
Keshav Aggarwal, R. K. Choudhary, Abhirup Datta +1
The Moon's transit between the solar wind and Earth's magnetotail exposes the near-lunar environment to large and rapid variations in plasma density and flow structure. Two-way coh…
From experimentation to engagement: on the paradox of participatory AI and power in contexts of forced displacement and humanitarian crises
Stella Suge, Sarah W. Spencer, Nyalleng Moorosi +3
Across the Global North, calls for participatory artificial intelligence (AI) to improve the responsible, safe, and ethical use of AI have increased, particularly efforts that enga…
Taming the Heavy Tail: Age-Optimal Preemption
Aimin Li, Yiğit İnce, Elif Uysal
This paper studies a continuous-time joint sampling-and-preemption problem, incorporating sampling and preemption penalties under general service-time distributions. We formulate t…
Constraining the size, shape, and albedo of the large Trans-Neptunian Object (28978) Ixion with multi-chord stellar occultations
Y. Kilic, F. Braga-Ribas, C. L. Pereira +81
Trans-Neptunian objects (TNOs) are among the most primitive remnants of the early Solar System, and constraining their sizes, shapes, albedos, and surface properties is essential f…
Detecting What Matters: A Novel Approach for Out-of-Distribution 3D Object Detection in Autonomous Vehicles
Menna Taha, Aya Ahmed, Mohammed Karmoose +1
Autonomous vehicles (AVs) use object detection models to recognize their surroundings and make driving decisions accordingly. Conventional object detection approaches classify obje…
Ray-Based Characterization of the AMPLE Model from 0.85 to 5 GHz
Lingyou Zhou, Xin Dong, Kehai Qiu +3
In this paper, we characterize the adaptive multiple path loss exponent (AMPLE) radio propagation model under urban macrocell (UMa) and urban microcell (UMi) scenarios from 0.85-5…