Results 251 to 260 of about 1,303,110 (322)

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

Learning, Adaptivity, and Complexity in a Hierarchical Fuzzy Model

, 1999
Thomas Sudkamp, Robert J. Hammell
openalex   +1 more source

ADAPT-IDS: SELF LEARNING ANOMALY DETECTION WITH DYNAMIC THRESHOLDING AND SHAP INTERPRETABILITY

Ayesha Bashir, Dr. Jawaid Iqbal, Adil Elahi, Azeem Akram
openalex   +1 more source

Adaptive Learning Organizer for Web-Based Education

, 2008
Amel Yessad, Catherine Faron Zucker, Rose Dieng-Kuntz Edelweiss, Med Tayeb Laskri   +3 more
openalex   +2 more sources

Spectrally Tuned Floating‐Gate Synapse Based on Blue‐ and Red‐Absorbing Organic Molecules for Wavelength‐Selective Neural Networks and Fashion Image Classifications

Advanced Functional Materials, EarlyView.
The characteristics of a vertical floating gate heterostructure transistor device that exhibits neuromorphic potentiation under visible light illumination are investigated. Due to spectrally‐tuned absorbance properties of each thin film layer and introduction of tunneling dielectric, the device enables wavelength‐selective tuning of synaptic plasticity
Seungme Kang, Jisoo Park, Jinwoong Hong, Jinmin Park, Jeongbo Lee, Hyeonjung Kim, Wonjun Shin, Eva Bestelink, Radu A. Sporea, Seyong Oh, Chung Whan Lee, Yun‐Hi Kim, Hocheon Yoo   +12 more
wiley   +1 more source

Domain adaptive learning for multi realm sentiment classification on big data. [PDF]

PLoS One
Ijaz M, Anwar N, Safran M, Alfarhood S, Sadad T, Imran.   +5 more
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Efficient adaptive learning rate for convolutional neural network based on quadratic interpolation egret swarm optimization algorithm. [PDF]

Heliyon
Wei P, Shang M, Zhou J, Shi X.
europepmc   +1 more source

Adaptive LCI Data Completion: Integrating Neural Processes and Active Learning for Enhanced Life Cycle Assessment

Wei Xing, Hong Chen, Zidong Chen, Zheng Quan, Bertrand Laratte, Mark Walsh, Jing Pu, Jose L. Casamayor   +7 more
openalex   +1 more source

Adaptive Behavioral Outcomes: Assurance Of Learning And Assessment

, 2011
David S. Baker, Geoffrey T. Stewart
openalex   +2 more sources