Results 141 to 150 of about 175,344,687 (300)

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

open access: yesAdvanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin   +4 more
wiley   +1 more source

The Role Of Influencer Credibility And Electronic Word Of Mouth (E-wom) On Purchase Decisions Among TikTok Shop Users With Customer Trust As A Mediating Variabel

open access: yesIndonesian Interdisciplinary Journal of Sharia Economics
The decline in public trust in social media influencers amid increasing shopping activity through TikTok Shop has given rise to a contradictory phenomenon in digital consumer behavior.
Nawang Kencana Dewi   +2 more
doaj   +1 more source

PENGARUH ELECTRONIC WORD OF MOUTH DAN BRAND EXPERIENCE TERHADAP BRAND TRUST (Studi Terhadap Pengguna OVO di Jakarta)

open access: yes, 2019
Penelitian ini bertujuan untuk mengetahui pengaruh electronic word of mouth dan brand experience terhadap brand trust para pengguna OVO di Jakarta. Pengumpulan data dilakukan melalui penyebaran kuesioner kepada 100 responden.
CHARVIA, KARIN
core  

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Kualitas Produk, Citra Merek dan Electronic Word of Mouth terhadap Keputuusan Pembelian Produk EigerKualitas Produk, Citra Merek dan Electronic Word of Mouth terhadap Keputuusan Pembelian Produk Eiger

open access: yes
This research aims to determine the influence of Product Quality (Variable X1), Brand Image (Variable X2) and Electronic Word of Mouth (Variable X3) on purchasing decisions for Eiger products. The method used in this research is quantitative methods. The
Rohman, Agil Riroj Abdul   +1 more
core   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo   +3 more
wiley   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam   +7 more
wiley   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti   +6 more
wiley   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison   +4 more
wiley   +1 more source

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