Results 181 to 190 of about 10,485,189 (358)
Neutral‐pH electropolymerization of aniline on laser‐induced graphene (LIG) produces stable, brush‐like polyaniline coatings without requiring acidic conditions. The resulting PANI–LIG electrodes exhibit enhanced electroactive surface area, efficient charge transfer, and dual sensing capability for β‐blockers and pH, providing a scalable platform ...
Angelika Łepek +6 more
wiley +1 more source
ENHANCED HATE SPEECH CLASSIFICATION USING PHRASE REPLACEMENT AND FUZZY-BASED MODIFIED BERT MODEL [PDF]
Mamun Bin Ibne Reaz, KPremalatha
openalex +1 more source
This study demonstrates a cost‐effective hybrid nanofiller approach for developing conductive polyamide 6 filaments via melt spinning. Branched carbon nanotubes combined with carbon black create synergistic networks where spherical CB particles bridge aligned CNTs, maintaining electrical pathways during fiber drawing.
Müslüm Kaplan +3 more
wiley +1 more source
Knowledge-based question answering using graph neural networks and contextual language representations. [PDF]
Samir M, Fathy N, Gad W.
europepmc +1 more source
Enhancing Multi-label Emotion Prediction through Rule-based Voting with LLM and BERT Variants [PDF]
Minh Hieu Le +3 more
openalex +1 more source
New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT. [PDF]
Lukas Galke +5 more
openalex
Microfabrication using nano‐ to micron‐sized blocks has transformative potential for next‐gen electronics, optoelectronics, and materials. Traditional methods are limited by scalability and precision. STIC, a single‐laser system for precise colloid manipulation and immobilization using femtosecond lasers, is introduced that enables efficient 3D ...
Krishangi Krishna +4 more
wiley +1 more source
A hybrid approach to Twitter sentiment analysis using integration of ESN ISPBO and BERT. [PDF]
Chai Z, Sun N, Zhang Q, Razmjooy N.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source

