Results 81 to 90 of about 1,489,843 (238)

DETERMINANTS OF CUSTOMER LOYALTY AND PROPOSING A CUSTOMER LOYALTY MODEL FOR THE BANKING SECTOR OF PAKISTAN [PDF]

open access: yes
It is always costly to attract new customers, so the managers always try to find ways to retain their current customers and concentrate on different factors which enhances the customer loyalty among the customers of the organizations.
Afsar BILAL
core  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

The study of the relationship between value creation and customer loyalty with the role of trust moderation and customer satisfaction in Sari hospitals

open access: yesElectronic Physician, 2017
Background: Healthcare providers are competitive, owing to heightened customers’ awareness and expectations of health care services. Objective: The aim of this study was to determine the relationship between customer value creation and loyalty with ...
Zienolabedin Rahmani   +3 more
doaj   +1 more source

The Role of Corporate Social Responsibility and Corporate Image in Times of Crisis: The Mediating Role of Customer Trust. [PDF]

open access: yesInt J Environ Res Public Health, 2021
Chen CC   +6 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

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

open access: yesAdvanced 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

Shaping Customer Satisfaction in Online Food Delivery: The Roles of Service Quality, Perceived Value, and Trust in Indonesia

open access: yesIndonesian Interdisciplinary Journal of Sharia Economics
This study aims to examine the effects of service quality, customer perceived value, and trust on customer satisfaction, while also analyzing the meditating role of trust.
Nadya Carissa Fernanda Putri   +1 more
doaj   +1 more source

ANTECEDENTS AND CONSEQUENCES OF COMMITMENT FROM COSTUMERS OF BCA FINANCE IN JAKARTA [PDF]

open access: yes
The background of this study was the situations that customers loyalty in a crucial constructs in marketing area, especially in relationship management.
Willy Arafah
core  

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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