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arXiv:2103.01313v1 Announce Type: cross Abstract: An important parameter for COVID-19 is the case fatality rate (CFR). It has been applied to wide applications, including the...
arXiv:2306.08135v2 Announce Type: cross Abstract: We scrutinize the phenomenology arising from a minimal vaccination-epidemic (MVE) dynamics using three methods: mean-field approach, Monte Carlo simulations, and...
arXiv:2407.03035v1 Announce Type: cross Abstract: Generating diverse samples under hard constraints is a core challenge in many areas. With this work we aim to provide...
arXiv:2409.08347v4 Announce Type: cross Abstract: This paper develops a sensitivity analysis framework for the perturbed utility route choice (PURC) model and the accompanying stochastic traffic...
arXiv:2507.02424v2 Announce Type: cross Abstract: Intrusion Detection and Prevention Systems (IDS/IPS) in large enterprises can generate hundreds of thousands of alerts per hour, overwhelming analysts...
arXiv:2508.19631v3 Announce Type: cross Abstract: Ultra-reliable low-latency communications (URLLC) demand high-performance error-correcting codes and decoders in the finite blocklength regime. This letter introduces a novel...
arXiv:2509.10382v4 Announce Type: cross Abstract: We define a pairing map $\pi : \mathbb{N}^2\to\mathbb{N}$ that encodes $x$ and $y$ into disjoint index bands inside the Zeckendorf...
arXiv:2512.01047v1 Announce Type: cross Abstract: Logical specifications have been shown to help reinforcement learning algorithms in achieving complex tasks. However, when a task is under-specified,...
arXiv:2512.22730v2 Announce Type: cross Abstract: Cystic hygroma is a high-risk prenatal ultrasound finding that portends high rates of chromosomal abnormalities, structural malformations, and adverse pregnancy...
arXiv:2602.06982v1 Announce Type: cross Abstract: Future 6G networks envision ubiquitous connectivity through space-air-ground integrated networks (SAGINs), where high-altitude platform stations (HAPSs) and satellites complement terrestrial...
arXiv:2602.06983v1 Announce Type: cross Abstract: This paper presents a novel hybrid deep learning framework designed to enhance the robustness of CSI-based Human Activity Recognition (HAR)...
arXiv:2602.06989v1 Announce Type: cross Abstract: Carbonate reservoirs offer significant capacity for subsurface carbon storage, oil production, and underground hydrogen storage. X-ray computed tomography (X-ray CT)...
arXiv:2602.06994v1 Announce Type: cross Abstract: Brain age prediction serves as a powerful framework for assessing brain status and detecting deviations associated with neurodevelopmental and neurodegenerative...
arXiv:2602.06997v1 Announce Type: cross Abstract: Emotion recognition from physiological signals remains challenging due to their non-stationary, noisy, and subject-dependent characteristics. This work presents, to the...
arXiv:2602.07001v1 Announce Type: cross Abstract: This paper proposes a two-phase orthogonal time frequency space (OTFS)-based integrated positioning and communication (IPAC) framework under realistic low-resolution analog-to-digital...
arXiv:2602.07020v1 Announce Type: cross Abstract: Finding similar bonds remains challenging in fixed-income analytics, as numerical financial attributes often overshadow categorical non-financial ones such as issuer...
arXiv:2602.07022v1 Announce Type: cross Abstract: Recent studies have explored autoregressive models for image generation, with promising results, and have combined diffusion models with autoregressive frameworks...
arXiv:2602.07023v1 Announce Type: cross Abstract: Recent works have increasingly applied Large Language Models (LLMs) as agents in financial stock market simulations to test if micro-level...
arXiv:2602.07029v1 Announce Type: cross Abstract: This work introduces the first closed-loop adaptive optics (AO) system capable of optically correcting aberrations in real-time without a guidestar...
arXiv:2602.07056v1 Announce Type: cross Abstract: Deep learning based compressive sensing (CS) methods typically learn sampling operators using convolutional or block wise fully connected layers, which...
arXiv:2602.07060v1 Announce Type: cross Abstract: Muon Scattering Tomography (MST) is a promising non-invasive inspection technique, yet the practical application of short-time MST is hindered by...
arXiv:2602.07068v1 Announce Type: cross Abstract: MRI cross-modal synthesis involves generating images from one acquisition protocol using another, offering considerable clinical value by reducing scan time...
arXiv:2602.07075v1 Announce Type: cross Abstract: Chemical large language models (LLMs) predominantly rely on explicit Chain-of-Thought (CoT) in natural language to perform complex reasoning. However, chemical...
arXiv:2602.07084v1 Announce Type: cross Abstract: Antigen-antibody binding is a critical process in the immune response. Although recent progress has advanced antibody design, current methods lack...