Results 91 to 100 of about 1,373,815 (267)

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

ANALYSIS OF CUSTOMER SATISFACTION USING IMPORTANCE PERFORMANCE ANALYSIS (IPA) METHOD AT HOUSE OF TJIHAPIT

open access: yesJournal of Management Small and Medium Enterprises (SME's)
This study uses the Importance-Performance Analysis (IPA) method to evaluate the service quality at the House of Tjihapit, a restaurant in Bandung that faces challenges due to the COVID-19 pandemic.
Kayla Vania Ayu Tjandra   +1 more
doaj   +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

PENGENALAN MEREK, PERSEPSI KUALITAS, HARAPAN KONSUMEN DAN INOVASI PRODUK TERHADAP KEPUTUSAN MEMBELI DAN DAMPAKNYA PADA LOYALITAS KONSUMEN (Studi Kasus: Produk Batik Sutra Halus Merek Tamina)

open access: yesJurnal Penelitian, 2013
This study aimed to examine the effect of brand awareness, perceived quality, customer expectations and product innovation on buying decisions and on increasing customer loyalty.
Tamamudin *
doaj  

THE ROLE OF CUSTOMER EXPERIENCE IN RETAIL BANKING AND THE RISE OF FINTECHS [PDF]

open access: yesAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2018
We are part of historic changes in terms of profoundness and velocity in all industries and in customers’ expectations. The aim of this paper is to create an overview of a new age in customer experience generated by a banking environment disturbed by ...
PAUL HANDRO
doaj  

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

A Multidimensional Perspective on Network Conditions in Telesurgery

open access: yesAdvanced 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

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