Zobrazeno 1 - 10
of 16 069
pro vyhledávání: '"Toolchain"'
Quantum computing poses a significant global threat to today's security mechanisms. As a result, security experts and public sectors have issued guidelines to help organizations migrate their software to post-quantum cryptography (PQC). Despite these
Externí odkaz:
http://arxiv.org/abs/2409.07852
Entity matching (EM), the task of identifying whether two descriptions refer to the same entity, is essential in data management. Traditional methods have evolved from rule-based to AI-driven approaches, yet current techniques using large language mo
Externí odkaz:
http://arxiv.org/abs/2406.11255
In this paper, we present a toolchain for a comprehensive audio/video analysis by leveraging deep learning based multimodal approach. To this end, different specific tasks of Speech to Text (S2T), Acoustic Scene Classification (ASC), Acoustic Event D
Externí odkaz:
http://arxiv.org/abs/2407.03110
Surface prediction and completion have been widely studied in various applications. Recently, research in surface completion has evolved from small objects to complex large-scale scenes. As a result, researchers have begun increasing the volume of da
Externí odkaz:
http://arxiv.org/abs/2403.11681
We introduce Mars 2.0 for modeling, analysis, verification and code generation of Cyber-Physical Systems. Mars 2.0 integrates Mars 1.0 with several important extensions and improvements, allowing the design of cyber-physical systems using the combina
Externí odkaz:
http://arxiv.org/abs/2403.03035
Autor:
Heidorn, Christian, Hannig, Frank, Riedelbauch, Dominik, Strohmeyer, Christoph, Teich, Jürgen
Publikováno v:
Proceedings of the 2024 Stuttgart International Symposium on Automotive and Engine Technology
The AURIX 2xx and 3xx families of TriCore microcontrollers are widely used in the automotive industry and, recently, also in applications that involve machine learning tasks. Yet, these applications are mainly engineered manually, and only little too
Externí odkaz:
http://arxiv.org/abs/2404.15833
Autor:
Menon, Vignesh V, Wieckowski, Adam, Brandenburg, Jens, Bross, Benjamin, Schierl, Thomas, Marpe, Detlev
Film grain is a distinctive visual characteristic cherished by filmmakers and cinephiles for its ability to evoke nostalgia and artistic aesthetics. However, faithful preservation of film grain during encoding poses unique challenges. Film grain intr
Externí odkaz:
http://arxiv.org/abs/2402.00622
Autor:
Zhuang, Yuchen, Chen, Xiang, Yu, Tong, Mitra, Saayan, Bursztyn, Victor, Rossi, Ryan A., Sarkhel, Somdeb, Zhang, Chao
Large language models (LLMs) have demonstrated powerful decision-making and planning capabilities in solving complicated real-world problems. LLM-based autonomous agents can interact with diverse tools (e.g., functional APIs) and generate solution pl
Externí odkaz:
http://arxiv.org/abs/2310.13227
Autor:
Ibba, Giacomo, Aufiero, Sabrina, Bartolucci, Silvia, Neykova, Rumyana, Ortu, Marco, Tonelli, Roberto, Destefanis, Giuseppe
This paper presents MindTheDApp, a toolchain designed specifically for the structural analysis of Ethereum-based Decentralized Applications (DApps), with a distinct focus on a complex network-driven approach. Unlike existing tools, our toolchain comb
Externí odkaz:
http://arxiv.org/abs/2310.02408