Zobrazeno 1 - 10
of 342 799
pro vyhledávání: '"SYED, A. A."'
Recent advancements in connected autonomous vehicle (CAV) technology have sparked growing research interest in lane-free traffic (LFT). LFT envisions a scenario where all vehicles are CAVs, coordinating their movements without lanes to achieve smooth
Externí odkaz:
http://arxiv.org/abs/2501.01189
Autor:
Rizvi, Syed Tahir Hussain, Kanwal, Neel, Naeem, Muddasar, Cuzzocrea, Alfredo, Coronato, Antonio
Time Series Forecasting (TSF) is an important application across many fields. There is a debate about whether Transformers, despite being good at understanding long sequences, struggle with preserving temporal relationships in time series data. Recen
Externí odkaz:
http://arxiv.org/abs/2501.01087
Autor:
Ali, Syed Atif, Din, Salwa
Wireless Sensor Networks (WSNs) continue to experience rapid developments and integration into modern-day applications. Overall, WSNs collect and process relevant data through sensors or nodes and communicate with different networks for superior info
Externí odkaz:
http://arxiv.org/abs/2501.00264
Autor:
Ali, Syed Atif, Din, Salwa
The introduction sets the stage for exploring collaborative approaches to bolstering smart vehicle cybersecurity through AI-driven threat detection. As the automotive industry increasingly adopts connected and automated vehicles (CAVs), the need for
Externí odkaz:
http://arxiv.org/abs/2501.00261
Autor:
Umer, Muhammad, Mohsin, Muhammad Ahmed, Kaushik, Aryan, Nadeem, Qurrat-ul-Ain, Nasir, Ali Arshad, Hassan, Syed Ali
Reconfigurable intelligent surface (RIS)-assisted aerial non-terrestrial networks (NTNs) offer a promising paradigm for enhancing wireless communications in the era of 6G and beyond. By integrating RIS with aerial platforms such as unmanned aerial ve
Externí odkaz:
http://arxiv.org/abs/2412.18957
We present an efficient encoder-free approach for video-language understanding that achieves competitive performance while significantly reducing computational overhead. Current video-language models typically rely on heavyweight image encoders (300M
Externí odkaz:
http://arxiv.org/abs/2412.18609
Autor:
Ahmed, Taushif, Goyal, Saurav, Hasan, Syed Mehedi, Lee, Roman N., Moch, Sven-Olaf, Pathak, Vaibhav, Rana, Narayan, Rapakoulias, Andreas, Ravindran, V.
We evaluate the phase-space integrals that arise in double real emission diagrams for semi-inclusive deep-inelastic scattering at next-to-next-to-leading order (NNLO) in QCD. Utilizing the reverse unitarity technique, we convert these integrals into
Externí odkaz:
http://arxiv.org/abs/2412.16509
Autor:
Shrestha, Ajay Kumar, Barthwal, Ankur, Campbell, Molly, Shouli, Austin, Syed, Saad, Joshi, Sandhya, Vassileva, Julita
This systematic literature review investigates perceptions, concerns, and expectations of young digital citizens regarding privacy in artificial intelligence (AI) systems, focusing on social media platforms, educational technology, gaming systems, an
Externí odkaz:
http://arxiv.org/abs/2412.16369
Autor:
Reza, Zaynab Batool, Syed, Abdul Rafay, Iqbal, Omer, Mensah, Ethel, Liu, Qian, Rahman, Maxx Richard, Maass, Wolfgang
In an era where digital security is crucial, efficient processing of security-related inquiries through supply chain security questionnaires is imperative. This paper introduces a novel approach using Natural Language Processing (NLP) and Retrieval-A
Externí odkaz:
http://arxiv.org/abs/2412.13988
Disfluencies are a natural feature of spontaneous human speech but are typically absent from the outputs of Large Language Models (LLMs). This absence can diminish the perceived naturalness of synthesized speech, which is an important criteria when b
Externí odkaz:
http://arxiv.org/abs/2412.12710