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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...

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...

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...

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...

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...

Bayesian Experimental Design via Score Matching

- Policy-based approaches to Bayesian experimental design (BED) allow the learning of deep policy networks that adaptively make intelligent design decisions based on previously collected data. However,...

Tracking the boundary between absolute/convective instability using adjoint equations

- Determining absolute/convective instability boundaries conventionally requires repeated saddle searches in the complex-wavenumber plane and a subsequent scan of the physical parameter space to locate...

Communication Advantages from Quantum Dense Network Coding

- A central problem in quantum information theory is understanding how quantum resources can be used to communicate information more efficiently than classical resources. We introduce quantum dense...

Decomposition-Based QAOA for Maximum Coverage Location Problem in Satellite Constellation Design

- An increase in earth observation missions has increased the demand of efficient design and optimization of satellite constellations. Maximizing coverage of the target while effectively utilizing the...

DKDNet: Dual Knowledge and Data-Driven Network for Cross-Domain Automatic Modulation Classification

- The dynamics of communication environments induce significant distribution shifts across domains, challenging the generalization of deep learning-based automatic modulation classification (AMC)...

Reaction-network reasoning with frontier models for experimentally confirmed catalyst-selectivity hypotheses

- Catalysts are essential for sustainable chemical manufacturing, yet discovering novel architectures remains a bottleneck dominated by trial-and-error experimentation and computationally intensive...

SpO$_2$ Predictor-Guided Stage-Wise Time-Frequency Reconstruction of Low-Quality Dual-Wavelength PPG for Oxygen Saturation Estimation

- Continuous oxygen saturation (SpO$_2$) estimation from wearable photoplethysmography (PPG) is important for long-term health monitoring, but low-quality red and infrared PPG segments can distort...