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arXiv:2401.06157v3 Announce Type: replace Abstract: Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is...
arXiv:2401.10777v2 Announce Type: replace Abstract: Manual operations remain essential in industrial production because of their flexibility and low implementation cost. However, ensuring their quality and...
arXiv:2402.01212v2 Announce Type: replace Abstract: This study aims to address the problem of incomplete information in unimodal images for semantic segmentation and object detection tasks....
arXiv:2402.01373v3 Announce Type: replace Abstract: The covariance matrix adaptation evolution strategy (CMA-ES) has been highly effective in black-box continuous optimization, as demonstrated by its success...
arXiv:2402.05346v4 Announce Type: replace Abstract: Interactions are central to intelligent reasoning and learning abilities, with the interpretation of abstract knowledge guiding meaningful interaction with objects...
arXiv:2402.13086v2 Announce Type: replace Abstract: The starting point of algebraic language theory is that regular languages of finite words are exactly those recognized by finite...
arXiv:2403.10830v3 Announce Type: replace Abstract: In this paper, we address the challenge of Multi-Object Tracking (MOT) in moving Unmanned Aerial Vehicle (UAV) scenarios, where irregular...
arXiv:2403.11852v4 Announce Type: replace Abstract: Delayed and partially observable state information poses significant challenges for reinforcement learning (RL)-based control in real-world autonomous driving. In highway...
arXiv:2404.09097v2 Announce Type: replace Abstract: Counterfactual regret minimization (CFR) algorithms are a foundational class of methods for solving imperfect-information games, with the time average of...
arXiv:2405.01158v3 Announce Type: replace Abstract: Anomaly Detection (AD) is crucial in industrial settings to streamline operations by detecting underlying issues. Conventional methods merely label observations...
arXiv:2405.04605v5 Announce Type: replace Abstract: Evaluation of artificial intelligence (AI) models for low-dose CT lung cancer screening is limited by heterogeneous datasets, annotation standards, and...
arXiv:2405.13979v4 Announce Type: replace Abstract: Hyperbolic deep learning has become a growing research direction in computer vision due to the unique properties afforded by the...
arXiv:2405.16828v3 Announce Type: replace Abstract: In this work, we present a novel conformal prediction method for time-series, which we call Kernel-based Optimally Weighted Conformal Prediction...
arXiv:2405.17870v2 Announce Type: replace Abstract: In distributed deep learning, communication remains a critical bottleneck. While modern hardware advances rapidly, over 60 percent of production HPC...
arXiv:2406.11871v5 Announce Type: replace Abstract: Recent breakthroughs in generative artificial intelligence (AI) and large language models (LLMs) unravel new capabilities for AI personal assistants to...
arXiv:2406.13253v4 Announce Type: replace Abstract: Smart contracts with external data are crucial for functionality but pose security and reliability concerns. Statistical and quantitative studies on...
arXiv:2406.19892v4 Announce Type: replace Abstract: This article presents multilingual deep learning models for identifying web registers -- text varieties such as news reports and discussion...
arXiv:2407.01476v4 Announce Type: replace Abstract: Autonomous agents powered by language models (LMs) have demonstrated promise in their ability to perform decision-making tasks such as web...
arXiv:2407.02136v2 Announce Type: replace Abstract: In English and other languages, multiple adjectives in noun phrases follow intricate ordering patterns. These patterns have been widely studied...
arXiv:2407.13116v3 Announce Type: replace Abstract: An enhanced Kogbetliantz method for the singular value decomposition (SVD) of general matrices of order two is proposed. The method...
arXiv:2407.14485v5 Announce Type: replace Abstract: We show that in the single-parameter mechanism design environment, the only non-wasteful, symmetric, incentive compatible and Sybil-proof direct mechanism is...
arXiv:2407.18420v4 Announce Type: replace Abstract: This paper introduces a generic framework that provides sufficient conditions for guaranteeing polynomial-time decidability of fixed-negation fragments of first-order theories...
arXiv:2408.02697v5 Announce Type: replace Abstract: The Rectified Power Unit (RePU) activation function, a differentiable generalization of the Rectified Linear Unit (ReLU), has shown promise in...
arXiv:2408.11397v2 Announce Type: replace Abstract: Multi-modal Large Language Models (MLLMs) have advanced greatly in general tasks. However, they still face challenges in geometric reasoning, a...