Results 101 to 110 of about 18,204 (266)

Quantum computing and machine learning for Arabic language sentiment classification in social media. [PDF]

Sci Rep, 2023
Omar A, Abd El-Hafeez T.
europepmc   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

A Hybrid Deep Learning Approach for Enhanced Sentiment Classification and Consistency Analysis in Customer Reviews

Mathematics
Consumer reviews play a pivotal role in shaping purchasing decisions and influencing the reputation of businesses in today’s digital economy. This paper presents a novel hybrid deep learning model, WDE-CNN-LSTM, designed to enhance the sentiment ...
Shaymaa E. Sorour, Abdulrahman Alojail, Amr El-Shora, Ahmed E. Amin, Amr A. Abohany   +4 more
doaj   +1 more source

Performance analysis of aspect-level sentiment classification task based on different deep learning models. [PDF]

PeerJ Comput Sci, 2023
Cao F, Huang X.
europepmc   +1 more source

Voltage‐Reconfigurable Magneto‐Ionic Nanolayers in Dot Arrays for Probabilistic, Materials‐Engineered Security Primitives

Advanced Science, EarlyView.
A magneto‐ionic security‐by‐materials‐design strategy exploits voltage‐driven N3– migration in selectively contacted FeCoN dots, creating reconfigurable sub‐15 nm ferromagnetic sublayers with deterministic and/or probabilistic (single‐domain↔vortex) states, voltage‐tunable probabilities and fully stochastic orientation/chirality.
Irena Spasojevic, Federica Celegato, Alessandro Magni, Paola Tiberto, Jordi Sort   +4 more
wiley   +1 more source

UsbVisdaNet: User Behavior Visual Distillation and Attention Network for Multimodal Sentiment Classification. [PDF]

Sensors (Basel), 2023
Hou S, Tuerhong G, Wushouer M.
europepmc   +1 more source

Dicationic Ion‐Pair Doping Enables Stable and High‐Performing Conducting Polymers for Organic Thermoelectrics

Advanced Science, EarlyView.
TAB–2TFSI enables efficient ion‐pair doping across a wide range of conjugated polymers, where the strongly oxidizing TAB core drives charge transfer, and the TFSI counterions promote favorable ionic compensation. This dicationic dopant promotes uniform dopant distribution, improves structural order, and increases carrier delocalization, establishing a ...
Juhyung Park, Shubhradip Guchait, Tanmay Sinha, Cynthia Verduyckt, Vijitha Ignatious, Tzu‐Yi Yu, Heyi Xia, Altynay Kaidarova, Michael Ng, Siebe Detavernier, Martin Rosenthal, Maristella Alessio, Daniel Escudero, Guy Koeckelberghs, Francisco Molina‐Lopez   +14 more
wiley   +1 more source

VisdaNet: Visual Distillation and Attention Network for Multimodal Sentiment Classification. [PDF]

Sensors (Basel), 2023
Hou S, Tuerhong G, Wushouer M.
europepmc   +1 more source

Regulating Cells Fate and Function to Facilitate Bone Regeneration via Designing Programmable Bio‐Interactive Materials

Advanced Science, EarlyView.
This article aims to elucidate the biological mechanisms of bone repair and the evolution of material design, highlighting key cellular and molecular processes. It further proposes strategies and prospects for programmable bio‐interactive materials, which enable precisely guided bone tissue regeneration by dynamically regulating cell behavior and the ...
Qingrui Fan, Fuming Cao, Junqiang Mao, Pengbin Yin, Licheng Zhang, Jianjun Wang, Peifu Tang   +6 more
wiley   +1 more source

SMS sentiment classification using an evolutionary optimization based fuzzy recurrent neural network. [PDF]

Multimed Tools Appl, 2023
Srinivasarao U, Sharaff A.
europepmc   +1 more source