This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn +5 more
wiley +1 more source
A configurable streaming spiking neural network accelerator with decoupled pixel-level and output-channel parallelism for automatic modulation classification. [PDF]
Yang K, Eltawil AM, Salama KN.
europepmc +1 more source
Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework. [PDF]
Taguta J, Nturambirwe JFI, Nyirenda CN.
europepmc +1 more source
Managing Uncertainty and Information Dynamics with Graphics-Enhanced TOGAF Architecture in Higher Education. [PDF]
Alhakamy A.
europepmc +1 more source
Video quality prediction and classification using XGBoost under variable encoding and network conditions. [PDF]
Frnda J +4 more
europepmc +1 more source
Real-world deep brain stimulation programming practices for Parkinson's disease in India: variability, technology adoption, and emerging trends from a multicentre clinician survey across India. [PDF]
Pal PK +28 more
europepmc +1 more source
AI-based secure event-driven serverless architecture for scalable digital civic participation platform. [PDF]
Kassymova A +4 more
europepmc +1 more source
Analog Neuromorphic Systems for Implantable Neural Interfaces
Basu A +26 more
europepmc +1 more source
Cumulative Quality Modeling for HTTP Adaptive Streaming [PDF]
HTTP Adaptive Streaming has become the de facto choice for multimedia delivery. However, the quality of adaptive video streaming may fluctuate strongly during a session due to throughput fluctuations. So, it is important to evaluate the quality of a streaming session over time. In this article, we propose a model to estimate the cumulative
Truong Cong Thang +2 more
exaly +4 more sources
Related searches:
In this contribution, we present selected novel approaches and results of our research work in the ATHENA Christian Doppler Laboratory (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services), a major research project at our department jointly funded by public sources and industry.
Christian Timmerer, Herman Hellwagner
openaire +2 more sources

