Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Li, Anni"'
Autor:
Li, Anni, Bahri, Mehran, Gray, Robert M., Choi, Seowon, Hoseinkhani, Sajjad, Srivastava, Anchit, Marandi, Alireza, Fattahi, Hanieh
Frequency comb and field-resolved broadband absorption spectroscopy are promising techniques for rapid, precise, and sensitive detection of short-lived atmospheric pollutants on-site. Enhancing detection sensitivity in absorption spectroscopy hinges
Externí odkaz:
http://arxiv.org/abs/2407.13371
Autor:
Li, Anni, Cassandras, Christos G.
We consider a mixed-traffic environment in transportation systems, where Connected and Automated Vehicles (CAVs) coexist with potentially non-cooperative Human-Driven Vehicles (HDVs). We develop a cooperation compliance control framework to incentivi
Externí odkaz:
http://arxiv.org/abs/2405.17594
We present a novel Parameter-Efficient Fine-Tuning (PEFT) method, dubbed as Adaptive Freezing of Low Rank Adaptation (AFLoRA). Specifically, for each pre-trained frozen weight tensor, we add a parallel path of trainable low-rank matrices, namely a do
Externí odkaz:
http://arxiv.org/abs/2403.13269
We derive time and energy-optimal policies for a Connected Autonomous Vehicle (CAV) to execute lane change maneuvers in mixed traffic, i.e., in the presence of both CAVs and Human Driven Vehicles (HDVs). These policies are also shown to be robust wit
Externí odkaz:
http://arxiv.org/abs/2406.16870
Transformer models have demonstrated high accuracy in numerous applications but have high complexity and lack sequential processing capability making them ill-suited for many streaming applications at the edge where devices are heavily resource-const
Externí odkaz:
http://arxiv.org/abs/2402.04882
Autor:
Li, Anni, Krishnamohan, Venkat, Kansal, Raghav, Sen, Rounak, Tsan, Steven, Zhang, Zhaoyu, Duarte, Javier
In high energy physics (HEP), machine learning methods have emerged as an effective way to accurately simulate particle collisions at the Large Hadron Collider (LHC). The message-passing generative adversarial network (MPGAN) was the first model to s
Externí odkaz:
http://arxiv.org/abs/2312.04757
This paper studies safe driving interactions between Human-Driven Vehicles (HDVs) and Connected and Automated Vehicles (CAVs) in mixed traffic where the dynamics and control policies of HDVs are unknown and hard to predict. In order to address this c
Externí odkaz:
http://arxiv.org/abs/2310.00534
Autor:
Li, Anni, Agåker Karlsson, Agnes
This report describes the design and construction of a tilting platform for sorting household waste, limited to plastic, glass, and metal. The platform utilizes a capacitive sensor to identify if an object is placed on the platform, an inductive sens
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-330019
This paper addresses cooperative lane-changing maneuvers in mixed traffic, aiming to minimize traffic flow disruptions while accounting for uncooperative vehicles. The proposed approach adopts controllers combining Optimal control with Control Barrie
Externí odkaz:
http://arxiv.org/abs/2305.17883
We derive time and energy-optimal control policies for a Connected Autonomous Vehicle (CAV) to complete lane change maneuvers in mixed traffic. The interaction between CAVs and Human-Driven Vehicles (HDVs) requires designing the best possible respons
Externí odkaz:
http://arxiv.org/abs/2303.16948