Results 121 to 130 of about 4,492 (243)

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Density Classification with Non-Unitary Quantum Cellular Automata. [PDF]

Entropy (Basel)
Wagner E, Dell'Anna F, Nigmatullin R, K Brennen G.   +3 more
europepmc   +1 more source

Generalized Partitioned Quantum Cellular Automata and Quantization of Classical CA

Generalized Partitioned Quantum Cellular Automata and Quantization of Classical CA
In this paper, in order to investigate natural transformations from discrete CA to QCA, we introduce a formulation of finite cyclic QCA and generalized notion of partitioned QCA. According to the formulations, we demonstratethe condition of local transition functions, which induce a global transition of well-formed QCA. Following the results, extending
openaire  

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

Enhancing Neuromorphic Robustness via Recurrence Resonance: The Role of Shared Weak Attractors in Quantum Logic Networks. [PDF]

Biomimetics (Basel)
Huang Y, Gunji YP.
europepmc   +1 more source

Router design for nano-communication using actin quantum cellular automata. [PDF]

IET Nanobiotechnol, 2020
Das B, De D.
europepmc   +1 more source

Perturbation‐induced responses improved seizure forecasting in epileptic rats

Epilepsia, EarlyView.
Abstract Objective The unpredictability of seizures is one of the most challenging aspects of uncontrolled epilepsy for patients. Prior work forecasting seizure risk has measured changes in passive intracranial electroencephalographic (EEG) signals, but currently, there are no such clinical devices available.
Wei‐Chih Chang, Jack Lin, Warwick Cheung, Alan Lai, Mark J. Cook, David B. Grayden, William C. Stacey   +6 more
wiley   +1 more source

Beyond Bayesian Inference: The Correlation Integral Likelihood Framework and Gradient Flow Methods for Deterministic Sampling. [PDF]

Bull Math Biol
Gwiazda P, Kazarnikov A, Marciniak-Czochra A, Szymańska Z.   +3 more
europepmc   +1 more source

A data-driven understanding of COVID-19 dynamics using sequential genetic algorithm based probabilistic cellular automata. [PDF]

Appl Soft Comput, 2020
Ghosh S, Bhattacharya S.
europepmc   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source