Uncertainty-aware environment simulation of medical devices digital twins
Sign Up to like & getrecommendations! Published in 2024 at "Software and Systems Modeling"
DOI: 10.1007/s10270-024-01223-8
Abstract: Smart medical devices are an integral component of the healthcare Internet of Things (IoT), providing patients with various healthcare services through an IoT-based application. Ensuring the dependability of such applications through system and integration-level testing… read more here.
Keywords: iot based; environment; digital twins; uncertainty aware ... See more keywords
ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback
Sign Up to like & getrecommendations! Published in 2024 at "Applied Intelligence"
DOI: 10.1007/s10489-024-05796-1
Abstract: Workers, especially those involved in jobs requiring extended standing or repetitive movements, often face significant health challenges due to Musculoskeletal Disorders (MSDs). To mitigate MSD risks, enhancing workplace ergonomics is vital, which includes forecasting long-term… read more here.
Keywords: erg; language; uncertainty aware; ergonomics ... See more keywords
EuroPED-NN: uncertainty aware surrogate model
Sign Up to like & getrecommendations! Published in 2024 at "Plasma Physics and Controlled Fusion"
DOI: 10.1088/1361-6587/ad6707
Abstract: This work successfully generates an uncertainty-aware surrogate model of the EuroPED plasma pedestal model using the Bayesian neural network with noise contrastive prior (BNN-NCP) technique. This model is trained using data from the JET-ILW pedestal… read more here.
Keywords: aware surrogate; surrogate model; uncertainty aware; model ... See more keywords
TUnA: an uncertainty-aware transformer model for sequence-based protein–protein interaction prediction
Sign Up to like & getrecommendations! Published in 2024 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbae359
Abstract: Protein-protein interactions (PPIs) are important for many biological processes, but predicting them from sequence data remains challenging. Existing deep learning models often cannot generalize to proteins not present in the training set, and do not… read more here.
Keywords: sequence; protein protein; uncertainty aware; uncertainty ... See more keywords
Explainable and Uncertainty Aware AI-Based Ransomware Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3581424
Abstract: Ransomware poses a serious and evolving threat, demanding detection methods that can adapt to new attack vectors while maintaining transparency and reliability. This study proposes a comprehensive framework that integrates data augmentation, explainable artificial intelligence,… read more here.
Keywords: detection; explainable uncertainty; uncertainty aware; ransomware detection ... See more keywords
Uncertainty-Aware Multi-Modal Learning for Autonomous Pallet Handling in Dynamic Warehouse Scenarios
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3613729
Abstract: Autonomous pallet transport in dynamic warehouses, where human workers and automated guided vehicles (AGVs) coexist, remains highly challenging due to sensory heterogeneity, environmental uncertainty, and strict real-time requirements. To address these issues, we propose an… read more here.
Keywords: autonomous pallet; aware multi; uncertainty aware; multi modal ... See more keywords
Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3274255
Abstract: Existing segmentation methods for brain MRI data usually leverage 3D CNNs on 3D volumes or employ 2D CNNs on 2D image slices. We discovered that while volume-based approaches well respect spatial relationships across slices, slice-based… read more here.
Keywords: uncertainty aware; aware multi; brain; multi dimensional ... See more keywords
Uncertainty-Aware Multidimensional Auctions for Social Welfare Optimization in Federated Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3609984
Abstract: A federated learning (FL) framework enables multiple clients to jointly train models locally without uploading their private data, effectively protecting the clients’ data privacy. However, existing FL auction mechanisms have not considered heterogeneity in client… read more here.
Keywords: social welfare; federated learning; time; uncertainty aware ... See more keywords
Safe Learning for Uncertainty-Aware Planning via Interval MDP Abstraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3173993
Abstract: We study the problem of refining satisfiability bounds for partially-known stochastic systems against planning specifications defined using syntactically co-safe Linear Temporal Logic (scLTL). We propose an abstraction-based approach that iteratively generates high-confidence Interval Markov Decision… read more here.
Keywords: learning uncertainty; planning via; uncertainty aware; aware planning ... See more keywords
Uncertainty-Aware Manipulation Planning Using Gravity and Environment Geometry
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3207565
Abstract: Factory automation robot systems often depend on specially-made jigs that precisely position each part, which increases the system's cost and limits flexibility. We propose a method to determine the 3D pose of an object with… read more here.
Keywords: gravity environment; uncertainty aware; geometry;
Uncertainty-Aware Panoptic Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3256926
Abstract: Reliable scene understanding is indispensable for modern autonomous systems. Current learning-based methods typically try to maximize their performance based on segmentation metrics that only consider the quality of the segmentation. However, for the safe operation… read more here.
Keywords: quality; uncertainty aware; uncertainty; segmentation ... See more keywords