Results 181 to 190 of about 128,668 (237)

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Parameterized Uniform Complexity in Numerics: from Smooth to Analytic, from NP-hard to Polytime

, 2012
Akitoshi Kawamura, Norbert Müller, Carsten Rösnick, Martin Ziegler   +3 more
openalex   +2 more sources

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

The Parameterized Complexity Analysis of Partition Sort for Negative Binomial Distribution Inputs

, 2012
Niraj Kumar Singh, Mita Pal, Soubhik Chakraborty   +2 more
openalex   +2 more sources

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Parameterized Complexity on a New Sorting Algorithm: A Study in Simulation

, 2012
Prashant Kumar, Anchala Kumari, Soubhik Chakraborty   +2 more
openalex   +2 more sources

Parameterized Complexity of Discrete Morse Theory [PDF]

, 2016
Benjamin A. Burton, Thomas Lewiner, João Paixão, Jonathan Spreer   +3 more
openalex   +1 more source

Parameterized Complexity and Kernelizability of Max Ones and Exact Ones Problems [PDF]

, 2016
Stefan Kratsch, Dániel Marx, Magnus Wahlström   +2 more
openalex   +1 more source

Parameterized complexity of MaxSat Above Average

, 2013
Robert Crowston, Gregory Gutin, Mark Jones, Venkatesh Raman, Saket Saurabh   +4 more
openalex   +1 more source