All Outputs (2740)

SYCL compute kernels for ExaHyPE (2024)
Presentation / Conference Contribution

We discuss three SYCL realisations of a simple Finite Volume scheme over multiple Cartesian patches. The realisation flavours differ in the way how they map the compute steps onto loops and tasks: We compare an implementation that is exclusively usin... Read More about SYCL compute kernels for ExaHyPE.

Detrimental task execution patterns in mainstream OpenMP runtimes (2024)
Presentation / Conference Contribution

The OpenMP API offers both task-based and data-parallel concepts to scientific computing. While it provides descriptive and prescriptive annotations, it is in many places deliberately unspecific how to implement its annotations. As the predomina... Read More about Detrimental task execution patterns in mainstream OpenMP runtimes.

The complexity of computing optimum labelings for temporal connectivity (2024)
Journal Article

Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials (2024)
Presentation / Conference Contribution

Beginner programmers can develop an intuitive understanding of programming by leveraging the motivating field of multimedia to visually inspect outputs and experiment with different ways to solve problems. This paper presents MediaLib, a Python libra... Read More about Simplifying Multimedia Programming for Novice Programmers: MediaLib and Its Learning Materials.

Uncovering hidden and complex relations of pandemic dynamics using an AI driven system (2024)
Journal Article

The COVID-19 pandemic continues to challenge healthcare systems globally, necessitating advanced tools for clinical decision support. Amidst the complexity of COVID-19 symptomatology and disease severity prediction, there is a critical need for robus... Read More about Uncovering hidden and complex relations of pandemic dynamics using an AI driven system.

Competitive Query Minimization for Stable Matching with One-Sided Uncertainty (2024)
Presentation / Conference Contribution

From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos (2024)
Presentation / Conference Contribution

Video-based Human-Object Interaction (HOI) recognition explores the intricate dynamics between humans and objects, which are essential for a comprehensive understanding of human behavior and intentions. While previous work has made significant stride... Read More about From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos.

Compiler support for semi-manual AoS-to-SoA conversions with data views (2024)
Presentation / Conference Contribution

The C programming language and its cousins such as C++ stipulate the static storage of sets of structured data: Developers have to commit to one, invariant data model -- typically a structure-of-arrays (SoA) or an array-of-structs (AoS) -- unles... Read More about Compiler support for semi-manual AoS-to-SoA conversions with data views.

Towards Communication-Efficient Peer-to-Peer Networks (2024)
Presentation / Conference Contribution

We focus on designing Peer-to-Peer (P2P) networks that enable efficient communication. Over the last two decades, there has been substantial algorithmic research on distributed protocols for building P2P networks with various desirable properties suc... Read More about Towards Communication-Efficient Peer-to-Peer Networks.

Multi-Feature Fusion Enhanced Monocular Depth Estimation With Boundary Awareness (2024)
Journal Article

Self-supervised monocular depth estimation has opened up exciting possibilities for practical applications, including scene understanding, object detection, and autonomous driving, without the need for expensive depth annotations. However, traditiona... Read More about Multi-Feature Fusion Enhanced Monocular Depth Estimation With Boundary Awareness.

Explainable text-tabular models for predicting mortality risk in companion animals (2024)
Journal Article

As interest in using machine learning models to support clinical decision-making increases, explainability is an unequivocal priority for clinicians, researchers and regulators to comprehend and trust their results. With many clinical datasets contai... Read More about Explainable text-tabular models for predicting mortality risk in companion animals.

Uncertainty Flow Diagrams: Towards a Systematic Representation of Uncertainty Propagation and Interaction in Adaptive Systems (2024)
Presentation / Conference Contribution

Sources of uncertainty in adaptive systems are rarely independent, and their interaction can affect the attainment of system goals in unpredictable ways. Despite ample work on “taming” uncertainty, the research community has devoted little attention... Read More about Uncertainty Flow Diagrams: Towards a Systematic Representation of Uncertainty Propagation and Interaction in Adaptive Systems.

Recent Advances in Non‐Ti MXenes: Synthesis, Properties, and Novel Applications (2024)
Journal Article

One of the most fascinating 2D nanomaterials (NMs) ever found is various members of MXene family. Among them, the titanium‐based MXenes, with more than 70% of publication‐related investigations, are comparatively well studied, producing fundamental f... Read More about Recent Advances in Non‐Ti MXenes: Synthesis, Properties, and Novel Applications.

Dynamic adversarial adaptation network with selective pseudo-labels for enhanced Unsupervised Domain Adaptation in rock microscopic image analysis (2024)
Journal Article

The critical role of lithology classification in reservoir exploration is increasingly germinating interest in intelligent rock image classification applications. Nonetheless, the efficacy of these classification methods predominan... Read More about Dynamic adversarial adaptation network with selective pseudo-labels for enhanced Unsupervised Domain Adaptation in rock microscopic image analysis.

Depth-Aware Endoscopic Video Inpainting (2024)
Presentation / Conference Contribution

Self-Regulated Sample Diversity in Large Language Models (2024)
Presentation / Conference Contribution

Research on coal mine longwall face gas state analysis and safety warning strategy based on multi-sensor forecasting models (2024)
Journal Article

Intelligent computing is transforming safety inspection methods and response strategies in coal mines. Due to the significant safety hazards associated with mining excavation, this study proposes a multi-source data based predictive model for assessi... Read More about Research on coal mine longwall face gas state analysis and safety warning strategy based on multi-sensor forecasting models.

Approximate and Randomized algorithms for Computing a Second Hamiltonian Cycle (2024)
Journal Article

Geometric Features Enhanced Human-Object Interaction Detection (2024)
Journal Article

Latency-aware RDMSim: Enabling the Investigation of Latency in Self-Adaptation for the Case of Remote Data Mirroring (2024)
Presentation / Conference Contribution

Self-adaptive systems are able to adapt themselves according to changing contextual conditions to ensure a set of predefined objectives (e.g., certain non-functional requirements like reliability) is reached. For this, they perform adaptation actions... Read More about Latency-aware RDMSim: Enabling the Investigation of Latency in Self-Adaptation for the Case of Remote Data Mirroring.