Results 91 to 100 of about 14,430,841 (247)

The meta-learning method for the ensemble model based on situational meta-task

Frontiers in Neurorobotics
IntroductionThe meta-learning methods have been widely used to solve the problem of few-shot learning. Generally, meta-learners are trained on a variety of tasks and then generalized to novel tasks.MethodsHowever, existing meta-learning methods do not ...
Zhengchao Zhang, Zhengchao Zhang, Lianke Zhou, Lianke Zhou, Yuyang Wu, Nianbin Wang, Nianbin Wang   +6 more
doaj   +1 more source

Ionic Precursors Transformed Into Vinyl Acetate Synthesis Catalyst via Reaction‐Driven Restructuring

Advanced Functional Materials, EarlyView.
This work demonstrates that a simple physical mixture of Pd and Au ionic precursors, KOAc promoter, and SiO2 support can transform into a highly active vinyl acetate synthesis catalyst through reaction‐driven restructuring. The results highlight reaction‐induced restructuring as an innovative and sustainable catalyst design strategy.
Byeong Jun Cha, Welman C. Elias, Hunter P. Jacobs, Kimberly N. Heck, Saghar Rezaie, Sadegh Yazdi, Kiheon Hong, Justin J. Dodson, Laiyuan Chen, Sean G. Mueller, Steven R. Alexander, Michael S. Wong   +11 more
wiley   +1 more source

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Conformational Switching of Proteins on Material Surfaces Enabled by Peptide‐Oriented Adsorption

Advanced Functional Materials, EarlyView.
Responsive biointerfaces could be achieved using conformationally responsive proteins; however, their interconversion can be lost upon surface adsorption. Herein, we demonstrate that the incorporation a Au binding peptide into calmodulin allows for binding control on Au wherein the protein retains conformational switching. This capability was confirmed
Sakthirupini Ramamurthy, Kyle B. Meerbott, Lorenzo Travaglini, Garima S. Dobhal, Artur Sawicki, Marc R. Knecht, Tiffany R. Walsh, Dominic J. Glover   +7 more
wiley   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots

Advanced Functional Materials, EarlyView.
Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz, Ramin Yazdaanpanah, Yongfeng Guo, Pouriya Naziri, Sachin Kulkarni, Martina Mercurio, Maria Cristina Larciprete, Ilaria Fratoddi, Paul Simon, Wan‐Lu Li, Koray Aydin, Umut Aydemir   +11 more
wiley   +1 more source

High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions

Advanced Functional Materials, EarlyView.
Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani, Paulius Imbrasas, Jan‐Michael Mewes, Felix Kaden, Stephanie Anna Buchholtz, Karl Leo, Sebastian Schellhammer, Carsten Rothe, Sebastian Reineke   +8 more
wiley   +1 more source

A Bayesian Hierarchical Approach to Ensemble Weather Forecasting [PDF]

In meteorology, the traditional approach to forecasting employs deterministic models mimicking atmospheric dynamics. Forecast uncertainty due to the partial knowledge of initial conditions is tackled by Ensemble Predictions Systems (EPS).
Daniela Cocchi, Antonio Fabio Di Narzo
core  

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source

Automatic Weight Redistribution Ensemble Model Based on Transfer Learning to Use in Leak Detection for the Power Industry

Sensors
Creating an effective deep learning technique for accurately diagnosing leak signals across diverse environments is crucial for integrating artificial intelligence (AI) into the power plant industry. We propose an automatic weight redistribution ensemble
Sungsoo Kwon, Seoyoung Jeon, Tae-Jin Park, Ji-Hoon Bae   +3 more
doaj   +1 more source