Results 41 to 50 of about 5,471 (199)
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
INFLUENCE OF DATA AUGMENTATION ON NAMED ENTITY RECOGNITION USING TRANSFORMER-BASED MODELS
Електроніка та інформаційні технологіїTransformer-based models have demonstrated their effectiveness for natural language processing tasks. Training these models requires huge amounts of textual data.
Bohdan Pavlyshenko, I. Drozdov
doaj +1 more source
PERBANDINGAN NILAI AKURASI DISTILBERT DAN BERT PADA DATASET ANALISIS SENTIMEN LEMBAGA KURSUS [PDF]
Penelitian ini bertujuan untuk menerapkan Analisis Sentimen dalam Ulasan Kursus dengan menggunakan pendekatan Transfer Learning menggunakan model bahasa DistilBERT dalam konteks pengembangan sistem pendidikan. Dengan pertumbuhan yang pesat dalam domain e-
Ronaldo, Deddy +2 more
core +2 more sources
Journal of Forensic Sciences, Volume 71, Issue 3, Page 1329-1337, May 2026.Abstract The rising rate of drug‐related deaths in the United States, largely driven by fentanyl, requires timely and accurate surveillance. However, critical overdose data are often buried in free‐text coroner reports, leading to delays and information loss when coded into ICD (International Classification of Disease)‐10 classifications.
Arthur J. Funnell +8 more
wiley +1 more source
CatPath‐GPT: A Mixture of Experts System for Computational Catalyst Design
SmartMat, Volume 7, Issue 2, April 2026.CatPath‐GPT presents a mixture‐of‐experts framework for computational catalyst design by combining product prediction, calculation planning, and automated code generation. The system supports catalyst screening and mechanism analysis through literature‐informed reasoning and structure generation.
Xingyu Wang, Zihao Jiao, Ziyun Wang
wiley +1 more source
Self‐Admitted Technical Debt Detection Approaches: A Decade Systematic Review
Journal of Software: Evolution and Process, Volume 38, Issue 4, April 2026.This systematic literature review traces the evolution of self‐admitted technical debt (SATD) detection from heuristic approaches to machine learning, deep learning, and Transformer‐based models. We synthesize the literature by categorizing detection techniques, levels of automation, and evaluation practices, and we identify persistent gaps in ...
Edi Sutoyo, Andrea Capiluppi
wiley +1 more source
Finding clues for Alzheimer's disease in online language
Alzheimer's &Dementia, Volume 21, Issue S2, December 2025.Abstract Background Natural Language Processing (NLP) has shown promise in identifying linguistic markers of MCI and Alzheimer's Disease (AD). Prior studies have achieved classification accuracy of 80%‐85% but were often limited by cross‐sectional designs and reliance on curated texts like novels and speeches.
Shira Darchi, Yuval Pinter, Talya Sadeh
wiley +2 more sources
Радіоелектронні і комп'ютерні системиThis study investigates the implementation of different sentiment analysis models, exploring their theoretical foundations, robust evaluation criteria, and significant findings, and integrating natural language processing methods to preprocess data ...
Chaimaa Benyamani +3 more
doaj +1 more source
, 2023 Phishing and spam detection is long standing challenge that has been the subject of much academic research. Large Language Models (LLM) have vast potential to transform society and provide new and innovative approaches to solve well-established ...
Jamal, Suhaima, Wimmer, Hayden
core
Neural network based publication recommender for article submission [PDF]
, 2021 Bu tez ile yapılan çalışma sonucunda yazarlar makalelerini göndermek için en iyi der- giyi bulabilirler. Makalenin içeriğine uygun yayınlanacağı dergiyi tespit etme işi kolay değildir.
Michail, Seth
core