5+ day, 6+ hour ago   (366+ words) Global studies indicate that urban public transport systems are facing critical challenges concerning capacity, speed, punctuality, comfort, and network integration, particularly on main transit axes and in central urban areas. At the same time, previous international research in transport planning…...

2+ week, 3+ hour ago   (428+ words) Artificial intelligence (AI) has become a key driver of transformation in educational contexts, influencing both teaching and learning processes as well as the digital competencies required by teachers and students. In this context, understanding how AI is perceived, used, and…...

3+ week, 6+ hour ago   (444+ words) Labour markets across Europe increasingly describe workers through skills rather than job titles, and a growing number of large language model (LLM)-based tools now claim to extract these skills automatically from unstructured text at scale. Among these, ESCOX has gained…...

3+ week, 1+ hour ago   (374+ words) Peer firm identification provides a basis for financial decision-making. Text-based approaches increasingly utilize 10-K annual reports for peer selection because they describe firms’ business activities and strategic positioning. However, most existing methods construct firm representations using full-document embeddings that uniformly…...

1+ week, 6+ day ago   (359+ words) Integrating distributed energy resources (DERs) via Virtual Power Plants (VPPs) faces challenges like renewable intermittency, communication scheduling uncertainties, and high data collection costs. While existing studies often overlook practical implementation efficiency, this paper proposes a VPP scheduling framework integrated with…...

2+ week, 6+ day ago   (672+ words) The digital transformation of financial services has increased the need for intelligent information systems capable of supporting credit risk assessment in dynamic and data-intensive environments. Traditional credit scoring approaches often face limitations when evaluating customers with limited financial histories, heterogeneous…...

4+ week, 8+ hour ago   (663+ words) This study presents a multi-tier framework for deploying multi-modal Conversational AI on edge devices, spanning from constrained ultra-low-power systems to high-performance edge workstations. Utilizing an automated model discovery process and a modular benchmarking testbed, the research demonstrates that real-time, fully…...

6+ day, 9+ hour ago   (580+ words) Historical pax demand estimation is important for understanding long-term demand dynamics and supporting airline planning, strategic decision-making, and transportation policy analysis. However, current decomposition approaches either estimate trends without explicitly modeling seasonality or jointly estimate trend and seasonal components without…...

3+ day, 3+ hour ago   (411+ words) Time-series representation learning decomposes signals into interpretable factors such as trend and seasonality, and disentangled representation learning assigns these factors to distinct latent dimensions, enhancing interpretability and forecasting accuracy. However, existing methods achieve only statistical disentanglement: an intervention on one…...

3+ week, 4+ day ago   (345+ words) In this paper, we present deep learning models for classifying ancient-coins using transfer learning applied to a custom dataset curated from a specialized collection. The dataset was meticulously developed through rigorous preparation and quality screening; the retained fine-grained classes are…...