Results 171 to 180 of about 249,105 (274)

Two-dimensional materials based two-transistor-two-resistor synaptic kernel for efficient neuromorphic computing. [PDF]

Nat Commun
He Q, Wang H, Zhang Y, Chen A, Fu Y, Xue G, Liu K, Huang S, Xu Y, Yu B.   +9 more
europepmc   +1 more source

A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations

Advanced Intelligent Systems, EarlyView.
A novel, semi‐automated deep learning and differential evolution pipeline designed for generating medicines for 3D‐printed medicines is introduced. This pipeline successfully generates a diverse range of drug formulations with an 80% printing success rate and 92% accuracy in predicting printing parameters.
Youssef Abdalla, Martin Ferianc, Haya Alfassam, Atheer Awad, Ruochen Qiao, Miguel Rodrigues, Mine Orlu, Abdul W. Basit, David Shorthouse   +8 more
wiley   +1 more source

Characterization of the Pozzolanic Potential of Oil Palm Kernel Shell Ash Obtained Through Optimization of Physicochemical Processes. [PDF]

Materials (Basel)
Torres Ortega R, Luna Velasco M, Arrieta Baldovino J.   +2 more
europepmc   +1 more source

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

Advanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo, Francesca Borghi, Tommaso Angì, Marta Maschietto, Stefano Vassanelli, Paolo Milani   +5 more
wiley   +1 more source

A novel quantitative trait locus for barley yellow dwarf virus resistance and kernel traits on chromosome 2D of a wheat cultivar Jagger. [PDF]

Plant Genome
Bian R, Liu N, Xu Y, Su Z, Chai L, Bernardo A, St Amand P, Rupp J, Pumphrey M, Fritz A, Zhang G, Jordan KW, Bai G.   +12 more
europepmc   +1 more source

Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition

Advanced Intelligent Systems, EarlyView.
By combining 3D printing with microfluidics, a flexible strain sensor has been developed in a convenient, safe, and effective way. Consisting of a conductive microfiber with a polyurethane shell and a liquid metal core, the sensor exhibits excellent conductivity and stretchability.
Yikai Wu, Jinpeng Wang, Can Wang, Linlin Xia, Jie Wang   +4 more
wiley   +1 more source

Diversity of cereal rye (Secale cereale) germplasm in the Southeast United States. [PDF]

Plant Genome
Brzozowski LJ, Phillips TD, Van Sanford DA.   +2 more
europepmc   +1 more source

True‐2D ResNet Approach on Battery Data Images for Machine Learning Performance Prediction

Advanced Intelligent Systems, EarlyView.
A true 2D ResNet method to train and predict battery performance based on raw cycling images, making the process a true‐2D ResNet method with state‐of‐the‐art prediction accuracy, is developed. With theoretical analysis and tests on large battery datasets from real‐world electric vehicles and energy storage systems, the superiority of 2D image ...
Yuchuang Cao, Mingyang Wang, Minjeong Byeon, Xi Chen, Jeesoon Choi, Xin Li   +5 more
wiley   +1 more source

Filamentous Temperature-Sensitive Z Protein J175 Regulates Maize Chloroplasts' and Amyloplasts' Division and Development. [PDF]

Plants (Basel)
Lv H, He X, Zhang H, Cai D, Mou Z, He X, Li Y, Liu H, Liu Y, Hu Y, Zhang Z, Huang Y, Zhang J.   +12 more
europepmc   +1 more source

Harnessing Nonidealities in Analog In‐Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems

Advanced Intelligent Systems, EarlyView.
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi, Yuji Okamoto, Takashi Morie, Sou Nobukawa, Takeo Hosomi, Kazuyuki Aihara   +5 more
wiley   +1 more source