Results 151 to 160 of about 140,076 (268)

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Interpretable deep learning for rotator cuff calcific tendinopathy diagnosis: a multi-center study. [PDF]

Sci Rep
Bautista JM, Peris JL, Carrillo FY, Iglesias LL, Vega JA, Fernández-Miranda PM.   +5 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Speech impairment detection in children using time frequency features of speech and deep learning techniques. [PDF]

Front Hum Neurosci
Manoswini M, Swain BR, Sahoo B, Gourisaria MK, Jha AV, Bizon N, Swetapadma A.   +6 more
europepmc   +1 more source

Linear and Programmable Long‐Term Plasticity in PECVD Amorphous SiC Memristors

Advanced Electronic Materials, EarlyView.
Stoichiometry‐engineered PECVD amorphous SiC memristors exhibit highly linear and programmable long‐term synaptic plasticity with a nonlinearity as low as 0.08. By controlling the local bonding environment, stable multilevel conductance updates are achieved, enabling robust neural‐network classification on MNIST and CIFAR‐10 and highlighting amorphous ...
Qin Liu, Omesh Kapur, Bohao Ding, Fangnan Chen, Bingkai Ding, Ruomeng Huang, C. H. Kees de Groot   +6 more
wiley   +1 more source

Hybrid attention-based multi-class classification of Ethiopian legal texts using deep learning. [PDF]

PLoS One
Alemu AA, Melese MD, Mengesha DA, Widneh MA.   +3 more
europepmc   +1 more source

X‐Ray TID Suppresses Inhibitory Plasticity of SnO‐Based Memristors and Its Impact on Neuromorphic Computation

Advanced Electronic Materials, EarlyView.
X‐ray irradiation suppresses inhibitory plasticity in SnO‐based volatile memristors, reducing nonlinearity and variability while improving neuromorphic learning accuracy. Despite a reduced dynamic range, irradiated devices achieve more stable and linear synaptic updates, leading to enhanced CNN performance.
Aiden Graham, Zohreh Hajiabadi, Alexander H. Wang, Asep Nugroho, Om K. Prasad, Uma Sankar Rout, Christian Patzig, Irwan Purnama, Liam Godfrey, Marcello Borri, Bingkai Ding, Harold M. H. Chong, Firman M. Simanjuntak   +12 more
wiley   +1 more source

Generative AI-Driven CNN Framework for Enhanced Lung Cancer Detection, Prediction, and Treatment: A Novel Approach to Overcoming AI Limitations. [PDF]

Int J Biomed Imaging
Bodicherla SS, Natarajasivan D, Reddy MP.   +2 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Predicting wheat yield and grain quality with UAV multispectral imagery and deep learning. [PDF]

Front Plant Sci
Billah MM, Maimaitijiang M, Kaushal S, Millett B, Khan SN, Halder J, Kleinjan J, Sehgal SK.   +7 more
europepmc   +1 more source