Results 131 to 140 of about 43,032 (264)

Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays

Advanced Science, EarlyView.
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo, Ji‐Hwan Eum, Suk‐Jeong Kwon, Minji Sagong, Dongchan Kim, Dong‐Ha Kim   +5 more
wiley   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

Retraction notice to "Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques" [Heliyon 10 (2024) e26192]. [PDF]

Heliyon
Li L, Yang J, Por LY, Khan MS, Hamdaoui R, Hussain L, Iqbal Z, Rotaru IM, Dobrotă D, Aldrdery M, Omar A.   +10 more
europepmc   +1 more source

Sustainable Hyperparameter Optimization

https://www.ieeesmc.org/cai-2026/tutorial-7-sustainable-hyperparameter-optimization/ https://github.com/ai-for-decision-making-tue ...
AMINI, Sasan, Bliek, Laurens
openaire   +2 more sources

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization. [PDF]

Sci Rep
Sawah MS, Elmannai H, El-Bary AA, Lotfy K, Sheta OE.   +4 more
europepmc   +1 more source

Correcting Apparent Priming Bias Unveils Fertilizer Nitrogen‐Risk Archetypes of Surplus and Depletion Across Asian Rice Systems

Advanced Science, EarlyView.
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu, Siyuan Cai, Longlong Xia, Jagdish K. Ladha, Xiaoyuan Yan, Xu Zhao   +5 more
wiley   +1 more source

A CNN Hyperparameters Optimization Based on Particle Swarm Optimization for Mammography Breast Cancer Classification. [PDF]

J Imaging
Aguerchi K, Jabrane Y, Habba M, El Hassani AH.   +3 more
europepmc   +1 more source

A Review of Failure Modes and Safety Strategies of Lithium‐Ion Batteries from Materials to Systems

Advanced Science, EarlyView.
A cascade‐aware framework is presented for lithium‐ion battery safety, linking thermal runaway initiation, acceleration, runaway reaction, and propagation with material‐, cell/pack‐, and system‐level interventions. By integrating failure mechanisms, quantitative safety indicators, and staged interception strategies, this review highlights how safer ...
Jin Hyeok Yang, Jae Yoon Sung, Hyunji Kweon, Seohyun Kim, Byunghoon Kim, Jongsoon Kim, Junyoung Mun, Jung Ho Kim, Ki Jae Kim   +8 more
wiley   +1 more source