Results 171 to 180 of about 4,158 (266)
Query-Efficient Hard-Label Attack: A Prior-Guided Adam Ray Search Optimization. [PDF]
Ding T, Xu X, Xuan Q, Yu H, Ma C.
europepmc +1 more source
Value of Information of Improved Traceability in Fresh Produce Markets
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris +2 more
wiley +1 more source
A Novel Framework for Enhancing Decision-Making in Autonomous Cyber Defense Through Graph Embedding. [PDF]
Wang Z, Wang Y, Xiong X, Ren Q, Huang J.
europepmc +1 more source
ABSTRACT In emerging economies where smallholder farming dominates agricultural production, agribusinesses serve as critical intermediaries linking smallholders to broader markets, and their resilience directly affects agricultural sustainability. Short‐term‐oriented capital is reluctant to adequately finance highly uncertain and cyclical agricultural ...
Siyuan Lyu +5 more
wiley +1 more source
Quantization-based chained privacy-preserving federated learning. [PDF]
Liu Y, Wu S, Li Y, Zhao F, Ren Y.
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Preamble Injection-Based Jamming Method for UAV LoRa Communication Links. [PDF]
Wu T, Mao R, Du Y, Zhu Q, Wei S, Hu C.
europepmc +1 more source
Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source

