An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
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
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles
A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin +4 more
wiley +1 more source
Modeling Within- and Across-Customer Association in Lifetime Value with Copulas [PDF]
Recent advances in linking Recency-Frequency-Monetary value (RFM) data to Customer Lifetime Value (CLV) in non-contractual settings rely on the assumption of independence between the transaction and spend processes. We propose to model jointly the inter-
Lemmens, A., Croux, C., Glady, N.
core
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag +3 more
wiley +1 more source
A modified Pareto/NBD approach for predicting customer lifetime value. [PDF]
Systems; Applications; Customer lifetime value; Value;
Croux, Christophe +2 more
core +2 more sources
Modeling customer-centric supply chain management for sustainable competitive advantage [PDF]
This paper presents a customer-centric supply chain management (CSCM) paradigm designed to create a sustainable competitive advantage (SCA). The proposed CSCM model seeks to enhance customer satisfaction and achieve SCA by leveraging its distinctive core
Al-Shammari Minwir
doaj +1 more source
The electrical power industry has been recognized as a natural monopoly industry for its technological and industrial characteristics. However, a competitive market system has been introduced to that industry in Europe, North America and Australia to overcome the inefficiencies originated from the monopolistic system for decades.
Kwi-Seok Kwon +2 more
openaire +2 more sources
Measuring Customer Value and Market Dynamics for New Products of a Firm:An Analytical Construct for Gaining Competitive Advantage [PDF]
The role of customer value has been largely recognized over time by the firms as an instrument towards stimulating market share and profit optimization.
Rajagopal
core
Valuing Customer Portfolios under Risk-Return-Aspects: A Model-based Approach and its Application in the Financial Services Industry [PDF]
For identifying and selecting the most profitable customers in terms of the shareholder value, the Customer Lifetime Val-ue (CLV) gained broad attention in marketing literature.
Heinrich, Bernd, Buhl, Hans Ulrich
core +1 more source

