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UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
Vasiliki Balaska, Ioannis Tsampikos Papapetros, Katerina Maria Oikonomou, Loukas Bampis, Antonios Gasteratos
https://arxiv.org/abs/2506.13505

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acquisition of high-resolution, geo-referenced spatial information to support core activities such as extraction planning and on-site monitoring. This work presents an integrated system architecture that combines UAV-based sensing, LiDAR terrain modeling, and deep learning-based object detection to generate spatially accur…

AS-ASR: A Lightweight Framework for Aphasia-Specific Automatic Speech Recognition
Chen Bao, Chuanbing Huo, Qinyu Chen, Chang Gao
https://arxiv.org/abs/2506.06566

AS-ASR: A Lightweight Framework for Aphasia-Specific Automatic Speech Recognition
This paper proposes AS-ASR, a lightweight aphasia-specific speech recognition framework based on Whisper-tiny, tailored for low-resource deployment on edge devices. Our approach introduces a hybrid training strategy that systematically combines standard and aphasic speech at varying ratios, enabling robust generalization, and a GPT-4-based reference enhancement method that refines noisy aphasic transcripts, improving supervision quality. We conduct extensive experiments across multiple data mix…

Une fois de plus, ma sélection de lecture n’est pas rationnelle. Si je vois un titre comme “Autodafé, comment les livres ont gâché ma vie” dans une librairie, mon sang ne fait qu’un tour. Autodafé, putain de merde, il va falloir se mettre en branle et réagir.
Après cette première réaction, ma raison reprend le dessus...
#livre

Relativistic Core-Valence-Separated Molecular Mean-Field Exact-Two-Component Equation-of-Motion Coupled Cluster Theory: Applications to L-edge X-ray Absorption Spectroscopy
Samragni Banerjee, Run R. Li, Brandon C. Cooper, Tianyuan Zhang, Edward F. Valeev, Xiaosong Li, A. Eugene DePrince III
https://arxiv.org/abs/2506.09008

Relativistic Core-Valence-Separated Molecular Mean-Field Exact-Two-Component Equation-of-Motion Coupled Cluster Theory: Applications to L-edge X-ray Absorption Spectroscopy
L-edge X-ray absorption spectra for first-row transition metal complexes are obtained from relativistic equation-of-motion singles and doubles coupled-cluster (EOM-CCSD) calculations that make use of the core-valence separation (CVS) scheme, with scalar and spin--orbit relativistic effects modeled within the molecular mean-field exact two-component (X2C) framework. By incorporating relativistic effects variationally at the Dirac--Coulomb--Breit (DCB) reference level, this method delivers accura…