Results 31 to 40 of about 1,103 (177)

RescueLens: LLM‐powered triage and action on volunteer feedback for food rescue

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract Food rescue organizations simultaneously tackle food insecurity and waste by working with volunteers to redistribute food from donors who have excess to recipients who need it. Volunteer feedback allows food rescue organizations to identify issues early and ensure volunteer satisfaction.
Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang   +6 more
wiley   +1 more source

Enhancing E‐Commerce Recommendations Through Review Summarization and Multi‐Embedding Feature Fusion

Expert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT With the rapid growth of e‐commerce, recommender systems have become essential tools for alleviating information overload by providing users with personalized item suggestions that match their preferences. Traditional collaborative filtering approaches have shown strong performance, while they still suffer from data sparsity since they rely ...
Haebin Lim, Seonu Park, Qinglong Li, Xinzhe Li, Jaekyeong Kim   +4 more
wiley   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

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

UHD 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, Sozan Abdullah Mahmood   +1 more
doaj   +1 more source

A Visitor‐Centric Recommender System for Florentine Museums: A Foundation for Sustainable Tourism Management

International Journal of Tourism Research, Volume 28, Issue 4, July/August 2026.
ABSTRACT The paper presents the development of a recommender system designed to capture visitors' preferences during museum visits in Florence. The system is trained on data from the entry records of the FirenzeCard, the official museum pass of the city offering tourists access to the Florentine museums. The system utilises an ensemble of deep learning
Stefano Masini, Silvia Bacci, Alessandra Petrucci, Carlo Francini, Bruno Bertaccini   +4 more
wiley   +1 more source

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

Електроніка 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

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

eFood, 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, Pary Hadi, Arkan Mohammed Hassan, Holem Hashm Balaky, Tavga Sulaiman Rashid, Bashdar Abuzed Sadee, Tanya Salam Salih, Hamed Hassanzadeh   +7 more
wiley   +1 more source

DistilBERT vs Gemma-3 270M for Mobile Cyberbullying Detection: A Comparative Study [PDF]

E3S Web of Conferences
Cyberbullying poses critical urban safety challenges, with current cloud-based detection systems creating privacy concerns and infrastructure dependencies that particularly affect under-resourced communities.
Edeh Emmanuel Chibuike, Asuquo Philip, Ahumaraeze Princewill, Etim Wisdom Godwin, Nnajiofor Amarachi Vivian, Thomas Sadiq, Stephen Bliss Utibe-Abasi, Okon Ofonime Dominic, Umana Israel   +8 more
doaj   +1 more source

Dual‐Branch Attention Fusion for Multimodal Sanskrit Script Classification

Engineering 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, Nagendra Panini Challa   +1 more
wiley   +1 more source

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

IEEE 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, Binh Thanh Dang, Huynh Thai Hoc, Shahbaz Pervez   +3 more
doaj   +1 more source