Results 131 to 140 of about 22,594 (260)

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Development and Evaluation of a Low‐Cost, Semi‐Automated Camera Trap for Surveying Bumble Bee Communities

Remote Sensing in Ecology and Conservation, EarlyView.
Camera traps are emerging as a useful tool for noninvasive insect monitoring; however, it remains unclear how to lure diurnal insects to traps, how to detect them upon arrival, and how camera‐based methods compare to conventional sampling. We developed a low‐cost, open‐source camera trap to monitor wild bumble bees in agricultural fields. We found that
Michael P. Getz, Lincoln R. Best, Oksana Ostroverkhova, Andony P. Melathopoulos, Timothy L. Warren   +4 more
wiley   +1 more source

Neurotrophic Signaling, Sleep Physiology, and Retinal Neuroprotection: Integrative Mechanisms and Therapeutic Implications for Glaucoma

Sensory Neuroscience, EarlyView.
Glaucoma is increasingly understood as a neurodegenerative disorder shaped by sleep and circadian physiology, not intraocular pressure alone. Sleep loss and obstructive sleep apnea suppress BDNF–TrkB neurotrophic signaling, impair sleep‐dependent glymphatic clearance, and trigger microglial neuroinflammation and vascular insult at the optic nerve head,
Karyme M. Alemán‐Villa, Emiliano Terán, Javier A. Magaña‐Gómez, Loranda Calderón‐Zamora, Beatriz K. De la Herrán‐Arita, Alberto K. De la Herrán‐Arita   +5 more
wiley   +1 more source

Sex, Gender, and the Search for Analytic Truth

Journal of Magnetic Resonance Imaging, EarlyView.
Jitka Starekova, Mark E. Schweitzer
wiley   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

BayesianKAN: A reaction condition optimization framework integrating Kolmogorov‐Arnold network and Bayesian optimization

Smart Molecules, EarlyView.
A novel BayesianKAN framework integrates Kolmogorov‐Arnold networks with Bayesian optimization to efficiently navigate complex factor spaces, accelerating the discovery of optimal reaction conditions for chemical synthesis. Abstract Efficient optimization of chemical reaction conditions is crucial for enhancing reaction yield and selectivity, yet ...
Juntao Wang, Yujing Zhao, Peiyu Yi, Liyuan Duan, Qingwei Meng, Qilei Liu   +5 more
wiley   +1 more source

Stochastic Pruning for Neural Networks

2025 International Joint Conference on Neural Networks (IJCNN)
Avendaño Munoz, L.A., Cohen, N., Omidvar, N.   +2 more
openaire   +2 more sources

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

Systems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell, Ryan Longshore, Raymond Madachy, Ashlyn Hanrahan   +3 more
wiley   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source