Results 181 to 190 of about 31,239 (262)
Large language model assisted decision support framework for uncertainty aware detection and management of tomato lateral shoots. [PDF]
Jiang Y, Geng Y, Zheng Z, Pang X.
europepmc +1 more source
ABSTRACT Tea plantations represent significant carbon (C) sinks in agricultural landscapes, yet how variety‐specific organic inputs are associated with the molecular composition and stability of soil organic carbon (SOC) within aggregate hierarchies remains unclear.
Jingchao Zhou +9 more
wiley +1 more source
A vicious cycle of microglial dysfunction: bridging synaptic pruning and neuroinflammation across the neurodevelopmental continuum. [PDF]
Yang F +7 more
europepmc +1 more source
ABSTRACT Optimized fertilization involving reduced mineral N input and organic substitution can alter resource stoichiometry, microbial carbon use efficiency (CUE) and nitrogen use efficiency (NUE). However, how fertilization‐induced resource imbalance reshapes microbial community to regulate CUE and NUE remains unclear. We conducted a field experiment
Yazhen Chen +11 more
wiley +1 more source
Resource-efficient federated machine unlearning via evolutionary synaptic pruning for cloud-based distributed learning systems. [PDF]
Bansal H +6 more
europepmc +1 more source
ABSTRACT This experimental study compares how consumers engage with AI‐generated and human‐created advertisements, specifically examining patterns of visual attention, emotional and cognitive responses, attitudes toward AI, and whether emotional resonance fosters brand trust or future behavioral intentions.
Mariia Shitova +3 more
wiley +1 more source
CMS-Attack: A Structured Cross-Modal Search Attack for Robustness Evaluation of LiDAR-Camera Fusion Detectors. [PDF]
Wang M, Cao Y, Yang S, Jin L, Xie X.
europepmc +1 more source
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang +6 more
wiley +1 more source
PADP: progressive and adaptive data pruning for efficient incremental learning. [PDF]
Duan B, Liu D, He Z, Zhou W, Miao S.
europepmc +1 more source
Deep‐DSP2: Cross‐Domain Deep Learning Direct MR Signal Prediction for RF Shielding‐Free MRI
ABSTRACT Purpose To develop a deep learning approach to electromagnetic interference (EMI) elimination in the presence of dynamically varying electromagnetic coupling relationships (i.e., spectral domain transfer functions) between MRI receive and EMI sensing coils for RF shielding‐free ultra‐low‐field (ULF) MRI.
Jiahao Hu +3 more
wiley +1 more source

