501 citations
- University of TorontoCA11 papers
- University of WaterlooCA11 papers
- Institut de Mathématiques de BordeauxFR6 papers
- Institut de recherche mathématique de RennesFR6 papers
- Tsinghua UniversityCN6 papers
- Laboratoire de Mathématiques et Physique ThéoriqueFR5 papers
- Massachusetts Institute of TechnologyUS5 papers
- Sapienza University of RomeIT5 papers
- Brown UniversityUS4 papers
- Carleton UniversityCA4 papers
- Imperial College LondonGB4 papers
- University of California, BerkeleyUS4 papers
10 papers · 1 filter
AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articles
Aritra Kumar Lahiri, Qinmin Vivian Hu
Recent advancements in generative AI have fostered the development of highly adept Large Language Models (LLMs) that integrate diverse data types to empower decision-making. Among…
Presenting a STEM Ways of Thinking Framework for Engineering Design-based Physics Problems
Ravishankar Chatta Subramaniam, Jason W. Morphew, Carina M. Rebello +1
Investigating students' thinking in classroom tasks, particularly in science and engineering, is essential for improving educational practices and advancing student learning. In th…
Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset
Mohammad Saiful Islam, Mohamed Sami Rakha, William Pourmajidi +3
As Large-Scale Cloud Systems (LCS) become increasingly complex, effective anomaly detection is critical for ensuring system reliability and performance. However, there is a shortag…
Multi-asset return risk measures
Christian Laudagé, Felix-Benedikt Liebrich, Jörn Sass
We revisit the recently introduced concept of return risk measures (RRMs) and extend it by incorporating risk management via multiple so-called eligible assets. The resulting new c…
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification
Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang +1
Deep learning-based network traffic classification (NTC) techniques, including conventional and class-of-service (CoS) classifiers, are a popular tool that aids in the quality of s…
Image-to-Joint Inverse Kinematic of a Supportive Continuum Arm Using Deep Learning
Shayan Sepahvand, Guanghui Wang, Farrokh Janabi-Sharifi
In this work, a deep learning-based technique is used to study the image-to-joint inverse kinematics of a tendon-driven supportive continuum arm. An eye-off-hand configuration is c…