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

