Results 91 to 100 of about 1,533 (240)

Characterizing stochastic solitons behavior in (3+1)-dimensional Schrödinger equation with Cubic–Quintic nonlinearity using improved modified extended tanh-function scheme

Physics Open
An extended version of (3+1)-dimensional non-linear Schrödinger equation that has a cubic–quintic nonlinear component under the stochastic effects is examined in this investigation. Several stochastic exact solutions of this model is acquired through the
Karim K. Ahmed, Hamdy M. Ahmed, Mohammed F. Shehab, Tarek A. Khalil, Homan Emadifar, Wafaa B. Rabie   +5 more
doaj   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

Navigating waves: Advancing ocean dynamics through the nonlinear Schrödinger equation

Nonlinear Engineering
The nonlinear Schrödinger equation, held in high regard in the realms of plasma physics, fluid mechanics, and nonlinear optics, reverberates deeply within the field of ocean engineering, imparting profound insights across a plethora of phenomena.
Iqbal Ifrah, Boulaaras Salah Mahmoud, Rehman Hamood Ur, Saleem Muhammad Shoaib, Chou Dean   +4 more
doaj   +1 more source

A variety of new periodic solutions to the damped (2+1)-dimensional Schrodinger equation via the novel modified rational sine–cosine functions and the extended tanh–coth expansion methods

, 2022
Mohammed Ali, Marwan Alquran, Oseid Bani Salman   +2 more
openalex   +1 more source

Laser‐Direct Printed 2D Material‐Based Heterostructure for the Fabrication of Electronic Devices

Small, EarlyView.
The Digital Laser‐Induced Forward Transfer (LIFT) approach is employed to pattern and stack 2D materials with micrometer‐scale precision. PdSe2 and MoSe2 are assembled into vertical p–n junctions, with graphene serving as a transparent electrode. The resulting laser‐transferred heterostructures exhibit high material quality and stable rectifying ...
Ilias Cheliotis, Filimon Zacharatos, Avraham Twitto, Michal Poplinger, Adi Levi, Amaia Pesquera, Amaia Zurutuza, Iakovos Kritikos, Stefania Skorda, Alexandros El Sachat, Yuri Mikhlin, Doron Naveh, Ioanna Zergioti   +12 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang, Zi Yu, Hui Peng, Zixuan Wang, Xiaokang Dai, Weirong Liu, Jing Wang   +6 more
wiley   +1 more source

HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen, Shijie Liu, Quan Feng, Tiantian He, Ji Xu   +4 more
wiley   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

Robust Distance Covariance

International Statistical Review, EarlyView.
Summary Distance covariance is a popular measure of dependence between random variables. It has some robustness properties, but not all. We prove that the influence function of the usual distance covariance is bounded, but that its breakdown value is zero.
Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw   +2 more
wiley   +1 more source