1.1k citations
- Institute for Research in Fundamental SciencesIR578 papers
- Centre National de la Recherche ScientifiqueFR221 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT204 papers
- California Institute of TechnologyUS193 papers
- The Ohio State UniversityUS193 papers
- University of WarsawPL190 papers
- Isfahan University of TechnologyIR188 papers
- TU WienAT172 papers
- Universität HamburgDE172 papers
- University of California, Santa BarbaraUS164 papers
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- Texas A&M UniversityUS161 papers
82 papers · 1 filter
Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL
Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad +3
Deploying large language models (LLMs) on edge devices is challenging due to their limited memory and power resources. Cloud-only inference reduces device burden but introduces hig…
Incorporating Error Level Noise Embedding for Improving LLM-Assisted Robustness in Persian Speech Recognition
Zahra Rahmani, Hossein Sameti
Automatic Speech Recognition (ASR) systems suffer significant performance degradation in noisy environments, a challenge that is especially severe for low-resource languages such a…
Fast and Robust LRSD-based SAR/ISAR Imaging and Decomposition
Hamid Reza Hashempour, Majid Moradikia, Hamed Bastami +2
The earlier works in the context of low-rank-sparse-decomposition (LRSD)-driven stationary synthetic aperture radar (SAR) imaging have shown significant improvement in the reconstr…
New Constructions of SSPDs and their Applications
Mohammad A. Abam, Sariel Har-Peled
We present a new optimal construction of a semi-separated pair decomposition (i.e., SSPD) for a set of points in . In the new constructio…
Development of a Transit-Time Ultrasonic Flow Measurement System for Partially Filled Pipes: Incorporating Flow Profile Correction Factor and Real-Time Clogging Detection
Mohammadhadi Mesmarian, Mohammad Mahdi Kharidar, Hossein Nejat Pishkenari
Flow measurement in partially filled pipes presents greater complexity compared to fully filled systems, primarily due to the complex velocity distribution within the cross-section…
Applied Neural Network-Based Active Control for Vortex-Induced Vibrations Suppression in a Two-Degree-of-Freedom Cylinder
Soha Ilbeigi, Ashkan Bagherzadeh, Alireza Sharifi
Vortex-Induced Vibrations (VIVs) of cylindrical structures present significant challenges in various engineering applications, including marine risers, tall buildings, and renewabl…