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arXiv:2602.19654v1 Announce Type: new Abstract: Urban air pollution in megacities poses critical public health challenges, particularly in Delhi National Capital Region (NCR) where severe degradation...
arXiv:2602.19655v1 Announce Type: new Abstract: Continual learning systems are increasingly deployed in environments where retraining or reset is infeasible, yet many approaches emphasize task performance...
arXiv:2602.19657v1 Announce Type: new Abstract: \emph{Temporal graphs} are a generalisation of (static) graphs, defined by a sequence of \emph{snapshots}, each a static graph defined over...
arXiv:2602.19660v1 Announce Type: new Abstract: This paper studies the efficiency of battery storage operations in electricity markets by comparing the social welfare gain achieved by...
arXiv:2602.19661v1 Announce Type: new Abstract: Temporal information in structured electronic health records (EHRs) is often lost in sparse one-hot or count-based representations, while sequence models...
arXiv:2602.19662v1 Announce Type: new Abstract: Although stress-constrained topology optimization has been extensively studied in structural design, the development of optimization frameworks to enable the creation...
arXiv:2602.19666v1 Announce Type: new Abstract: Living organisms rely on endogenous feedback mechanisms to maintain homeostasis in the presence of uncertainty and environmental fluctuations. An emerging...
arXiv:2602.19667v1 Announce Type: new Abstract: Efficient and accurate load flow calculations are a bedrock of modern power system operation. Classical numerical methods such as the...
arXiv:2602.19668v1 Announce Type: new Abstract: Longitudinal medical report generation is clinically important yet remains challenging due to strict privacy constraints and the evolving nature of...
arXiv:2602.19672v1 Announce Type: new Abstract: Compound AI systems promise capabilities beyond those of individual models, yet their success depends critically on effective orchestration. Existing routing...
arXiv:2602.19673v1 Announce Type: new Abstract: First-order logic is the basis for many knowledge representation formalisms and methods. Providing technological support for learning to write first-order...
arXiv:2602.19674v1 Announce Type: new Abstract: Remote monitoring of heart failure (HF) via speech signals provides a non-invasive and cost-effective solution for long-term patient management. However,...
arXiv:2602.19679v1 Announce Type: new Abstract: Joint reconstruction of 3D human and object from a single image is an active research area, with pivotal applications in...
arXiv:2602.19680v1 Announce Type: new Abstract: We study Facility Location with Matching, a Facility Location problem where, given additional information about which pair of clients is...
arXiv:2602.19682v1 Announce Type: new Abstract: Open-weight advanced AI models -- systems whose parameters are freely available for download and adaptation -- are reshaping the global...
arXiv:2602.19683v1 Announce Type: new Abstract: Gaussian processes (GPs) are a widely used regression tool, but the cubic complexity of exact solvers limits their scalability. To...
arXiv:2602.19685v1 Announce Type: new Abstract: Building Virtual Cells that can accurately simulate cellular responses to perturbations is a long-standing goal in systems biology. A fundamental...
arXiv:2602.19686v1 Announce Type: new Abstract: Coroutines, as an abstract programming construct, are a generalization of functions that can suspend execution part- way for later resumption....
arXiv:2602.19690v1 Announce Type: new Abstract: The spread of media bias is a significant concern as political discourse shapes beliefs and opinions. Addressing this challenge computationally...
arXiv:2602.19694v1 Announce Type: new Abstract: Synthetic human mobility generation is gaining traction as an ethical and practical approach to supporting the data needs of intelligent...
arXiv:2602.19695v1 Announce Type: new Abstract: Cybersecurity awareness is shaped by a wide range of professional and personal experiences, including information and training at work and...
arXiv:2602.19697v1 Announce Type: new Abstract: Key part of robotics, augmented reality, and digital inspection is dense 3D reconstruction from depth observations. Traditional volumetric fusion techniques,...
arXiv:2602.19698v1 Announce Type: new Abstract: We present a proof-of-concept system that automates iconographic classification and content-based recommendation of digitized artworks using the Iconclass vocabulary and...
arXiv:2602.19699v1 Announce Type: new Abstract: Trajectory Optimization (TO) and Reinforcement Learning (RL) offer complementary strengths for solving optimal control problems. TO efficiently computes locally optimal...