Results 171 to 180 of about 315,597 (224)

k‐Selective Electrical‐to‐Magnon Transduction with Finite‐Element‐Resolved Sub‐Micron Nanoantennas

Advanced Physics Research, EarlyView.
We introduce a coupled finite‐element‐finite‐difference framework that links impedance‐matched nanoantenna geometries to propagating spin‐wave dynamics, capturing skin effects, proximity effects, and taper leakage beyond uniform‐current models. Applied to coplanar‐waveguide and stripline nanoantennas on yttrium‐iron‐garnet, the simulations achieve ...
Andreas Höfinger, Andrey A. Voronov, David Schmoll, Sabri Koraltan, Florian Bruckner, Claas Abert, Dieter Suess, Morris Lindner, Timmy Reimann, Carsten Dubs, Andrii V. Chumak, Sebastian Knauer   +11 more
wiley   +1 more source

Empowering IoV Security: A Novel Secure Cryptographic Algorithm (OpCKEE) for Network Protection in Connected Vehicles. [PDF]

Sensors (Basel)
Ebadinezhad S, Nlend Bayemi PF.
europepmc   +1 more source

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

Advanced Physics Research, EarlyView.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab, Houssam Eddine Hailouf, Kingsley Onyebuchi Obodo, Mireille Megnidio‐Tchoukouegno, Mohammed Benali Kanoun, Souraya Goumri‐Said   +5 more
wiley   +1 more source

Research on data transmission system based on expert library reinforcement learning in integrated network. [PDF]

PLoS One
Xing Z.
europepmc   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring. [PDF]

Sci Rep
Purnachand K, Samrin R, Guttikonda JB, Kotoju R, Addepalli PS, Mohan A.   +5 more
europepmc   +1 more source

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source

A lightweight transformer-based hybrid encoder-decoder model for chest X-ray medical report generation. [PDF]

Sci Rep
Ucan M, Kaya B, Kaya M, Alhajj R.
europepmc   +1 more source

Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems

Asian Journal of Control, EarlyView.
Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi, Omar Naifar, Imed Bouzida   +2 more
wiley   +1 more source