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Design optimization and robustness analysis of rigid-link flapping mechanisms

- Rigid link flapping mechanisms remain the most practical choice for flapping wing micro-aerial vehicles (MAVs) to carry useful payloads and onboard batteries for free flight due to their long-term...

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

- Large language models (LLMs) integrated with retrieval-augmented generation (RAG) have improved factuality by grounding outputs in external evidence. However, they remain susceptible to unfaithful...

FunHOI: Annotation-Free 3D Hand-Object Interaction Generation via Functional Text Guidance

- Hand-object interaction(HOI) is the fundamental link between human and environment, yet its dexterous and complex pose significantly challenges for gesture control. Despite significant advances in AI...

Software Security in Software-Defined Networking: A Systematic Literature Review

- Software-defined networking (SDN) separates the control plane from the data plane and exposes the network through software applications and open APIs. The same programmability that drove its adoption...

Demystifying LLM Supply Chain Vulnerabilities in the Wild: Distribution, Root Cause, and Real-World Impact

- LLMs are rapidly transitioning from research prototypes to core components in production systems across industries such as finance and healthcare. These deployments rely on a growing ecosystem of...

GERD: Geometric event response data generation

- Event-based vision sensors offer high temporal resolution, high dynamic range, and low power consumption, yet event-based vision models lag behind conventional frame-based vision methods. We argue...

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction

- High-fidelity surface reconstruction from multi-view images is a core problem in 3D computer vision. While neural implicit surfaces like SDFs offer smooth geometry, they are often bottlenecked by the...

Koopman-informed recurrent neural networks

- Recurrent neural networks are a successful neural architecture for many time-dependent problems, including time series analysis, forecasting, and modeling of dynamical systems. In the context of...

Adaptive and Robust Watermark for Generative Tabular Data

- In recent years, watermarking generative tabular data has become a prominent framework to protect against the misuse of synthetic data. However, while most prior work in watermarking methods for...

The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis

- Developing and certifying safe - or so-called trustworthy - AI has become an increasingly salient issue, especially in light of upcoming regulation such as the EU AI Act. In this context, the...

Open-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

- Object-oriented embodied navigation tasks require agents to locate specific objects, either defined by category or images, in unseen environments. While recent methods have made progress in extending...

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

- Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-specific fine-tuning....

Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network

- Because most scientific literature data are unlabeled, semantic representation learning based on unsupervised graphs has become crucial. To enrich scientific-literature features, this paper proposes...

Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs

- This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural...

Accurate Portraits of Scientific Resources and Knowledge Service Components

- With the advent of the cloud computing era, the cost of creating, capturing, and managing information has gradually decreased. The amount of data on the Internet is showing explosive growth, and more...

Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences

- In recent years, with the continuous progress of science and technology, the number of scientific research achievements has increased rapidly. As an exchange platform and medium for scientific...

Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors

- A key challenge of real-world image super-resolution (SR) is to recover the missing details in low-resolution (LR) images with complex unknown degradations (e.g., downsampling, noise and...

Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling

- Score matching controls average error under the forward marginals, but a discretized reverse-time sampler evaluates the learned score along its own trajectory. We show that small forward-marginal...

Why Do You Say It Like That? A Phoneme-Level Framework for Explainable Speech Deepfake Detection

- As the accuracy of speech deepfake detection improves with the use of self-supervised representations such as wav2vec 2.0 and HuBERT, understanding why the speech is classified as bona fide or...

Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data

- We revisit one-zero and two-zero textures of the neutrino mass matrix under current experimental and cosmological constraints. We identify the phenomenologically viable texture structures using the...

Tubular Neighbourhoods of Pfaffian Sets and Applications to Neural Networks

- We derive bounds for the volume of tubular neighbourhoods of smooth Pfaffian hypersurfaces, generalising known results for algebraic varieties. The bounds are given in terms of the Pfaffian format of...