Results 41 to 50 of about 1,103 (177)

Recommender Systems: Taxonomy, Applications and Current Research Trends

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado, Carlos Porcel, Jesús Alcalá‐Fdez   +2 more
wiley   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

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, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Efficient Management of Safety Documents Using Text-Based Analytics to Extract Safety Attributes From Construction Accident Reports

IEEE Access
The time-intensive extraction of insights from textual safety documents using conventional methods causes delays and inaccuracies, hindering proactive incident prevention in construction projects.
Vedat Togan, Fatemeh Mostofi, Onur Behzat Tokdemir, Fethi Kadioglu   +3 more
doaj   +1 more source

Improving drug identification in overdose death surveillance by using clinical natural language processing models

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, Panayiotis Petousis, Fabrice Harel‐Canada, Ruby Romero, Alex A. T. Bui, Adam Koncsol, Hritika Chaturvedi, Chelsea Shover, David Goodman‐Meza   +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

Social Feature Integration for Entertainment Hoax Detection: Machine Learning and DistilBERT-Fusion

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Detecting entertainment hoaxes remains a pressing challenge in the social media era, where short texts, provocative headlines, and rapid dissemination complicate verification.
Dodo Zaenal Abidin, Agus Siswanto, Chindra Saputra, Bhetantio Bhetantio   +3 more
doaj   +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

Study on the Qualitative Cohesion in Bitcoin Market Price Prediction

IEEE Access
Over time, various methodologies have been introduced for predicting the cryptocurrency market. While numerous studies have explored different variables, research incorporating the actual sentiments of investors has been scarce.
Namjae Cho, Jae Hyun Byun, Giseob Yu
doaj   +1 more source

Comprehensive Flood Impact Assessment Using NLP and BERT Deep Learning for Improved Impact Prediction and Disaster Management

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Floods are increasing both in frequency and magnitude across different parts of the world. Although technological advances have improved flood forecasting, our understanding of how floods affect communities remains limited. This study develops a multi‐stage framework, integrating Natural Language Processing and the Bidirectional Encoder ...
Akshay Singhal, Mohammadsepehr Karimiziarani, Hamid Moradkhani   +2 more
wiley   +1 more source

MMLTC: A Novel Tolerance‐Based Clustering Framework for Multimodal Sentiment and Harmful Meme Classification in Multilingual Settings

Computational Intelligence, Volume 42, Issue 2, April 2026.
ABSTRACT This work introduces a novel Tolerance‐Based Clustering Framework (MMLTC) framework for affective analytics of multimodal/multilingual content in social media. A key feature of the MMLTC framework is its ability to overcome limitations of prior tolerance‐based classifiers through the construction of label specific pure tolerance classes ...
Jaher Hassan Chowdhury, Sheela Ramanna
wiley   +1 more source