Abstract interpolation polynomial

Results 81 to 90 of about 4,883,226 (229)

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source

A low-overhead repair code based on hybrid grouping

Journal of King Saud University: Computer and Information Sciences
Reed–Solomon (RS) codes are widely adopted in large-scale distributed storage systems due to their optimal storage efficiency. However, repairing failed nodes in RS-based environments often requires intensive matrix inversions, which increase ...
Dan Tang +6 more
doaj +1 more source

Toward Fully Soft and Multifunctional Shape Sensing via Optical Waveguide Arrays

Advanced Intelligent Systems, EarlyView.
This work develops a sheet made with arrays of soft optical fibers that can reconstruct its 3D surface shape. Synergy of the waveguides’ responses to bending and pressing force allows shape reconstruction with resilience to damage. Applied onto surfaces of robotic or living systems, our design can be implemented in virtual reality, teleoperation ...
Qifan Yu, Nina Cao, Kaitlyn Becker
wiley +1 more source

Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate

Scientific Reports
This study inspects the integration of machine learning (ML) techniques with materials science to develop durable, eco-friendly superhydrophobic (SHP) graphene-based coatings for copper.
Himanshu Prasad Mamgain +7 more
doaj +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source

A numerical technique for solving nonlinear fractional PDEs

Boundary Value Problems
This paper develops a numerical method for a one-dimensional nonlinear time–space fractional partial differential equation involving the Caputo time derivative, the Riesz space-fractional derivative, a nonlinear memory term, and a nonlinear convection ...
Mousa J. Huntul
doaj +1 more source

Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science

Advanced Intelligent Systems, EarlyView.
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska +7 more
wiley +1 more source

Solutions behavior of mechanical oscillator equations with impulsive effects under Power Caputo fractional operator and its symmetric cases

Scientific Reports
This study investigates the qualitative behavior of mechanical oscillator equations with impulsive effects using the generalized Power Caputo fractional operator, encompassing several known derivatives (such as Caputo–Fabrizio and Atangana–Baleanu) as ...
Hicham Saber +5 more
doaj +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source

The causal effect of agricultural landscape simplification on Germany's grasslands during a compound drought and heatwave in 2018

American Journal of Agricultural Economics, EarlyView.
Abstract Preserving ecosystem services, along with economic and environmental benefits, will require future landscape policies to identify and incorporate relevant landscape features. In this paper, we investigate the causal effect of agricultural landscape simplification on drought‐related grassland damages.
Marco Ferro +5 more
wiley +1 more source

medicine
polynomial interpolation
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