Results 31 to 40 of about 1,082 (177)

Application of Artificial Intelligence in Food Science and Nutrition: Challenges and Future Perspectives

open access: yeseFood, Volume 7, Issue 3, June 2026.
AI application can be very helpful in addressing different issues and shaping novel techniques in food production, food safety and quality, and food intake. AI application in food science, such as the food industry and processing, food safety and packaging, and nutrition.
Yaseen Galali   +7 more
wiley   +1 more source

Dual‐Branch Attention Fusion for Multimodal Sanskrit Script Classification

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
The proposed system adopts a dual‐branch architecture in which a transformer‐based visual module extracts hierarchical structural features from manuscript images, while a textual module captures linguistic representations derived from recognized script content.
Basaraboyina Yohoshiva   +1 more
wiley   +1 more source

Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data

open access: yesUHD Journal of Science and Technology
Cancer classification through genetic evaluation has become a hot topic among researchers. It holds the promise of delivering systematic, precise, and scientifically backed diagnoses for different types of cancer. Lately, several studies have delved into
Mariwan Mahmood Hama Aziz   +1 more
doaj   +1 more source

INFLUENCE OF DATA AUGMENTATION ON NAMED ENTITY RECOGNITION USING TRANSFORMER-BASED MODELS

open access: yesЕлектроніка та інформаційні технології
Transformer-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

Recommender Systems: Taxonomy, Applications and Current Research Trends

open access: yesWIREs 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   +2 more
wiley   +1 more source

A Deep Learning Approach to Classifying Software Requirements: The Application of Transformer-Based Ensemble Learning and Attention-Based Fusion

open access: yesFoundations of Computing and Decision Sciences
The functional requirements (FRs) classification in software requirements classification (SRC) is a difficult task due to class imbalance, fine-grained subcategories, and semantic complexities. Existing Machine Learning (ML) and Deep Learning (DL) models
Kiani Azaz Ahmed
doaj   +1 more source

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

open access: yesAdvanced 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

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

open access: yesJournal 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

open access: yesSmartMat, 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

Fine-Tuning LLMs for E-Commerce Sentiment Analysis: Proprietary Versus Open-Source Approaches

open access: yesIEEE Access
The increasing volume of online product reviews presents both opportunities and challenges for e-commerce platforms seeking to leverage customer sentiment for strategic decision-making.
Pawanjit Singh Ghatora   +3 more
doaj   +1 more source

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