Results 251 to 260 of about 332,886 (299)

New‐Era Polymer Thermoelectrics: Material Innovations, Doping Frontiers, Decoupling Strategies, and Unconventional Applications

Advanced Materials, EarlyView.
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley   +1 more source

Machine Learning-Based Prediction of Polymer Chemical Resistance to Organic Solvents. [PDF]

ACS Omega
Kunieda S, Yambe M, Murashima H, Nakamura T, Shintani T, Kamijima H, Hayashi Y, Hanawa Y, Yoshida R.   +8 more
europepmc   +1 more source

Remaining Life Prediction of Shielding Sleeves Based on Data Augmentation and Hybrid Models. [PDF]

Sensors (Basel)
Zhang X, Xiang X, Li H, Liu N, Chen Z.
europepmc   +1 more source

AI-enhanced inverse design of photonic crystal fiber optical modulator using deep reinforcement learning technique. [PDF]

Sci Rep
Dawood NYM, Younis BM, Hameed MFO, El-Mikati HA, Obayya SSA, Areed NFF.   +5 more
europepmc   +1 more source

An Interpretable Deep-Learning Approach for Efficient CEST Parameter Quantification: Importance-Ranked Saturation Transfer MRI Protocol. [PDF]

Magn Reson Med
Singh M, Mahmud SZ, Ju K, Heo HY.
europepmc   +1 more source

A generalized logistic-logit function and its application to multi-layer perceptron and neuron segmentation. [PDF]

Front Artif Intell
Gu W, Zhang Y, Muscoloni A, Cannistraci CV.   +3 more
europepmc   +1 more source

A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]

PLoS One
Tang D.
europepmc   +1 more source

Parameter Learning for Alpha Integration

Neural Computation, 2013
In pattern recognition, data integration is an important issue, and when properly done, it can lead to improved performance. Also, data integration can be used to help model and understand multimodal processing in the brain. Amari proposed [Formula: see text]-integration as a principled way of blending multiple positive measures (e.g., stochastic ...
Choi, H, Choi, S, Choe, Y
openaire   +4 more sources