Results 91 to 100 of about 1,006,545 (279)
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
Advanced 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
A Multidimensional Perspective on Network Conditions in Telesurgery
Advanced Intelligent Systems, EarlyView.A multidimensional framework systematically evaluates how combined network impairments influence telesurgical performance. By jointly analyzing latency, jitter, bandwidth, and packet loss, the proposed methodology identifies relevant network condition parameters and their interactions, supporting the design of reliable and safe telesurgical systems ...
Florian Heemeyer +4 more
wiley +1 more source
Customer Response Models: What Data Predicts Best, Hard or Soft?
Marketing Management Journal, 2011 The concept of marketing segmentation emerged in the 1950s with simple demographic and psychographic components. With the advent of the information age and intensified competition, marketers have adapted more sophisticated segmentation approaches such as
WILLIAM J. HAUSER +2 more
doaj +1 more source
AI &Innovation, EarlyView.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
Bank Customer Segmentation: the Case of CEE Countries
Purpose. The purpose of the present paper is to analyze the opportunities for segmentation of bank customers at the banks in Central and Eastern European EU countries.
Eriņa, Jana, Lāce, Nataļja
core
Enhancing Segmentation: A Comparative Study of Clustering Methods
IEEE AccessWith the increasing complexity of consumer preferences and behaviors, businesses face challenges to capture the dynamic nature of online consumer behavior, highlighting the need for advanced approaches. This study aims to enhance customer segmentation in
Lew Sook Ling, Claireta Tang Weiling
doaj +1 more source
Customer segmentation based on customer lifelong value analysis [PDF]
کاوشهای مدیریت بازرگانی, 2014 This article presents a comprehensive model for customer lifelong value. Customer relationship management (CRM) is an efficient methodfor acquiring, maintaining and enhancing customer satisfaction in our competitive industries.
Abdulmohammad mahdavi, s. moosavi
doaj
AI Dependence as a Longitudinal Governance Problem
AI &Innovation, EarlyView.ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen +5 more
wiley +1 more source
Multi-channel customer management: A case study in Egypt [PDF]
, 2009 Channel management is one CRM systems component much influenced by the behaviour of customers in relation to the implementation and use of channel management CRM component.
Brooks, L, Ali, M
core +2 more sources