Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models
arXiv:2509.07813v1 Announce Type: cross Abstract: This study applies a range of forecasting techniques,including ARIMA, Prophet, Long Short Term Memory networks…
arXiv:2509.07813v1 Announce Type: cross Abstract: This study applies a range of forecasting techniques,including ARIMA, Prophet, Long Short Term Memory networks…
arXiv:2509.06942v2 Announce Type: replace Abstract: Recent studies have demonstrated the effectiveness of directly aligning diffusion models with human preferences using…
arXiv:2509.04537v2 Announce Type: replace-cross Abstract: We investigate the emergent social dynamics of Large Language Model (LLM) agents in a spatially…
arXiv:2509.05218v2 Announce Type: replace-cross Abstract: Positional encoding mechanisms enable Transformers to model sequential structure and long-range dependencies in text. While…
arXiv:2509.06475v1 Announce Type: cross Abstract: AI-based recommender systems increasingly influence recruitment decisions. Thus, transparency and responsible adoption in Human Resource…
arXiv:2509.06326v1 Announce Type: cross Abstract: As on-device LLMs(e.g., Apple on-device Intelligence) are widely adopted to reduce network dependency, improve privacy,…
arXiv:2509.05388v1 Announce Type: cross Abstract: Cell biomechanics involve a great number of complex phenomena that are fundamental to the evolution…
arXiv:2509.04505v1 Announce Type: new Abstract: The integration of Artificial Intelligence (AI) into construction project management (CPM) is accelerating, with Large…
arXiv:2509.03643v2 Announce Type: replace-cross Abstract: Electronic Health Records (EHRs) provide a rich, longitudinal view of patient health and hold significant…
arXiv:2509.04833v1 Announce Type: cross Abstract: Recent advances in visual grounding have largely shifted away from traditional proposal-based two-stage frameworks due…