Results 91 to 100 of about 24,371,806 (309)
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
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Accelerating Phosphate Transport Across Membranes via Synergistic Chemical‐Electrochemical Carriers
Angewandte Chemie, EarlyView.A new membrane design principle based on synergistic chemical and electrochemical carriers is proposed to construct an electro‐driven carrier‐conducting membrane for high‐throughput phosphate transport. Monodispersed ferrihydrite nanoparticles embedded within the membrane act as built‐in phosphate carriers, enabling accelerated phosphate migration via ...
Lei Xia +9 more
wiley +2 more sources
Research on wireless distributed financial risk data stream mining based on dual privacy protection
EURASIP Journal on Wireless Communications and Networking, 2020 With the advancement of network technology and large-scale computing, distributed data streams have been widely used in the application of financial risk analysis.
Yuhao Zhao
doaj +1 more source
Ensemble Classifier for Mining Data Streams
Procedia Computer Science, 2014 AbstractThe problem addressed in this paper concerns mining data streams with concept drift. The goal of the paper is to propose and validate a new approach to mining data streams with concept-drift using the ensemble classifier constructed from the one-class base classifiers.
Ireneusz Czarnowski, Piotr Jedrzejowicz
openaire +2 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Active Mining of Data Streams [PDF]
Proceedings of the 2004 SIAM International Conference on Data Mining, 2004 Wei Fan 0001 +3 more
openaire +2 more sources
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
Advanced Intelligent Discovery, EarlyView.A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley +1 more source
MOA: Massive Online Analysis, a framework for stream classification and clustering. [PDF]
, 2010 Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams.
Kranen, Philipp +7 more
core +1 more source