Results 91 to 100 of about 937,585 (275)

CPL‐Diff: A Diffusion Model for De Novo Design of Functional Peptide Sequences with Fixed Length

Advanced Science, EarlyView.
This study presents a diffusion model for generating functional peptide sequence lengths using mask control. The model can generate antimicrobial, antifungal, and antiviral peptides with specific lengths on demand. The model learns the structure of peptides better and generates peptides with better physicochemical properties, and the model has good ...
Zhenjie Luo, Aoyun Geng, Leyi Wei, Quan Zou, Feifei Cui, Zilong Zhang   +5 more
wiley   +1 more source

ProteoSeeker: A Feature‐Rich Metagenomic Analysis Tool for Accessible and Comprehensive Metagenomic Exploration

Advanced Science, EarlyView.
ProteoSeeker is a new metagenomic analysis tool that accelerates protein discovery. By automating key steps, it reduces computational complexity and enables comprehensive dataset analysis, performing protein identification, screening based on user‐defined protein families, and taxonomic analysis.
Georgios Filis, Dimitra Bezantakou, Konstantinos Rigkos, Despina Noti, Pavlos Saridis, Dimitra Zarafeta, Georgios Skretas   +6 more
wiley   +1 more source

Spectrum Access Algoritbm Based on POMDP Model in CVANET

Dianxin kexue, 2014
For the dynamic features of cognitive vehicular Ad Hoc network（CVANET）channel state, a study on spectrum sensing and access of cognitive vehicle users was presented, which was based on framework of partially observable Markov decision process（POMDP ...
Xuefei Zhang, Guoan Zhang, Yancheng Ji
doaj   +2 more sources

Reinforcement Learning: Stochastic Approximation Algorithms for Markov Decision Processes [PDF]

arXiv, 2015
This article presents a short and concise description of stochastic approximation algorithms in reinforcement learning of Markov decision processes. The algorithms can also be used as a suboptimal method for partially observed Markov decision processes.
arxiv  

DiffMC‐Gen: A Dual Denoising Diffusion Model for Multi‐Conditional Molecular Generation

Advanced Science, EarlyView.
DiffMC‐Gen, a dual‐diffusion model for 2D and 3D molecular generation, simultaneously optimizes multiple key objectives across the drug design process, enabling the generation of novel, target‐specific small‐molecule ligands with high therapeutic potential.
Yuwei Yang, Shukai Gu, Bo Liu, Xiaoqing Gong, Ruiqiang Lu, Jiayue Qiu, Xiaojun Yao, Huanxiang Liu   +7 more
wiley   +1 more source

Cortical synapses of the world's smallest mammal: An FIB/SEM study in the Etruscan shrew

Journal of Comparative Neurology, Volume 531, Issue 3, Page 390-414, February 2023., 2023
The present work provides a quantitative dataset of synapses from the Etruscan shrew (the smallest known terrestrial mammal). We have identified common and differing principles of synaptic organization compared to other mammalian species. Abstract The main aim of the present study was to determine if synapses from the exceptionally small brain of the ...
Lidia Alonso‐Nanclares, J. Rodrigo Rodríguez, Angel Merchan‐Perez, Juncal González‐Soriano, Sergio Plaza‐Alonso, Nicolás Cano‐Astorga, Robert K. Naumann, Michael Brecht, Javier DeFelipe   +8 more
wiley   +1 more source

Power System Security Under False Data Injection Attacks With Exploitation and Exploration Based on Reinforcement Learning

IEEE Access, 2018
The false data injection (FDI) attack is a potential threat to the security of smart grids, and therefore, such threats should be assessed carefully. This paper proposes a self-governing FDI attack method with exploitation and exploration mechanisms and ...
Zhisheng Wang, Ying Chen, Feng Liu, Yue Xia, Xuemin Zhang   +4 more
doaj   +1 more source

Quantitative access control with partially-observable Markov decision processes

Proceedings of the second ACM conference on Data and Application Security and Privacy, 2012
We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with parity objectives. An observationbased strategy relies on partial information about the history of a play, namely, on the past sequence of observations.
Fabio Martinelli, Charles Morisset
openaire   +6 more sources

Recursively-Constrained Partially Observable Markov Decision Processes

, 2023
Many sequential decision problems involve optimizing one objective function while imposing constraints on other objectives. Constrained Partially Observable Markov Decision Processes (C-POMDP) model this case with transition uncertainty and partial observability.
Ho, Qi Heng, Becker, Tyler, Kraske, Benjamin, Laouar, Zakariya, Feather, Martin S., Rossi, Federico, Lahijanian, Morteza, Sunberg, Zachary N.   +7 more
openaire   +2 more sources

Partially Observable Markov Decision Process for Managing Robot Collaboration with Human

IEEE International Conference on Tools with Artificial Intelligence, 2009
We present a new framework for controlling a robot collaborating with a human to accomplish a common mission. Knowing that we are interested in collaboration domains where there is no shared plan between the human and the robot, the constraints on the ...
Abir-Beatrice Karami, L. Jeanpierre, A. Mouaddib   +2 more
semanticscholar   +1 more source