Results 181 to 190 of about 378,599 (285)

Reinforcement Learning of Chaotic Systems Control in Partially Observable Environments. [PDF]

Flow Turbul Combust
Weissenbacher M, Borovykh A, Rigas G.
europepmc   +1 more source

Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems. [PDF]

Sensors (Basel), 2021
Javan AAK, Jafari M, Shoeibi A, Zare A, Khodatars M, Ghassemi N, Alizadehsani R, Alizadehsani R, Gorriz JM.   +8 more
europepmc   +1 more source

Effect of confining pressure on fracture characteristics and mineralogical behavior of tight sandstone specimens after hydraulic fracturing

Deep Underground Science and Engineering, EarlyView.
Hydraulic fracturing in tight sandstone and fracture propagation characteristics using backscattered electron‐scanning electron microscope (BSE‐SEM) images. Abstract This study focuses on hydraulic fracturing experiments conducted under triaxial conditions on tight sandstone specimens from Shivpuri district, Madhya Pradesh, India.
Pankaj Rawat, Narendra Kumar Samadhiya
wiley   +1 more source

A secure healthcare data transmission based on synchronization of fractional order chaotic systems. [PDF]

PeerJ Comput Sci
Suzelan Amir NA, Abd Latiff FN, Wong KB, Mior Othman WA.   +3 more
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Exploring nonlinear chaotic systems with applications in stochastic processes. [PDF]

Sci Rep
Abdelwahed HG, Elbaz IM, Sohaly MA, Abdelrahman MAE, Alsarhan AF, Al-Rasheed AM.   +5 more
europepmc   +1 more source

Entropy‐Driven Innovations: Entropy Stabilized Oxides for High‐Performance Next‐Generation Lithium–Sulfur Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This article explores high‐entropy‐stabilized oxides (HEOs) as novel functional materials for addressing critical issues in lithium–sulfur (Li–S) batteries, including lithium polysulfide (LPS) shuttling, inadequate conductivity, and slow redox kinetics.
Hassan Raza, Jialiang Wei, Zhicai Wang, Zhaoyang Lv, Junye Cheng, Jia Xu, Liang An, Yuliang Liu, Sergey Ryazantsev, Shukui Li, Guangping Zheng   +10 more
wiley   +1 more source

Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions. [PDF]

Entropy (Basel)
Luo Y, Cao X, Peng K, Zhou M, Guo Y.
europepmc   +1 more source

Enhancing Anode‐Free Lithium Metal Batteries: A Lightweight MPTS‐MXene Current Collector for Superior Performance and Energy Density

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study introduces an MPTS‐modified MXene current collector for anode‐free lithium metal batteries (AFLMBs). A key advantage of MPTS‐MXene is its ultralight weight, only 15% as heavy as standard copper per unit volume. Its special layered structure and Si‐O rich surface help lithium deposit smoothly and flat, while forming a protective layer that ...
Jiawei Ren, Jiayi Zhang, Jingchao Zhang, Jianbo Li, Yonas Tsegaye Megra, Jianchuan Wang, Yong Du, Rong Huang, Yi Cui, Chenguang Liu, Li Yang   +10 more
wiley   +1 more source

Toward a physics-guided machine learning approach for predicting chaotic systems dynamics. [PDF]

Front Big Data
Feng L, Liu Y, Shi B, Liu J.
europepmc   +1 more source