Results 121 to 130 of about 20,995 (223)
Investment decision-making is often characterized by uncertainty and the subjective weighting of criteria. This study aims to develop a more robust decision support framework by integrating the Generalized Interval-Valued Hesitant Intuitionistic Fuzzy ...
Ema Carnia +6 more
doaj +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Accelerating MRI With Longitudinally‐Informed Latent Posterior Sampling
ABSTRACT Purpose To accelerate MRI acquisition by incorporating the previous scans of a subject during reconstruction. Although longitudinal imaging constitutes much of clinical MRI, leveraging previous scans is challenging due to the complex relationship between scan sessions, potentially involving substantial anatomical or pathological changes, and ...
Yonatan Urman +4 more
wiley +1 more source
ABSTRACT READINESS represents a proactive mindset reflecting an organization's willingness and capability to prepare for crises and respond ethically. To understand how organizations become “ready” for complex crises, particularly those arising from public moral outrage over publicly exposed AI use, this article proposes the Contextual READINESS Model ...
Junzhen Li +3 more
wiley +1 more source
REFINED SOFT SETS AND ITS APPLICATIONS
Many disciplines, including engineering, economics, medical science and social science are highly dependent on the task of modeling and computing uncertain data.
Anjan Mukherjee +2 more
doaj
Abstract Background Deep learning reconstruction (DLR) algorithms have begun replacing iterative reconstruction (IR) in CT. Besides the potential to reduce noise, the application of artificial intelligence can also allow for “super resolution,” allowing traditional CT systems to produce images with improved spatial resolution by training against higher‐
Stephanie M. Leon +3 more
wiley +1 more source
Two‐Photon 3D Printing of Functional Microstructures Inside Living Cells
This study demonstrates 3D printing inside living cells by using two‐photon photo‐lithography. A bio‐compatible photoresist is injected into cells and selectively polymerized with a femtosecond laser, creating custom‐shaped intracellular structures with submicron resolution.
Maruša Mur +4 more
wiley +1 more source
Polycaprolactone (PCL)/Gelatin/MXene composite films design and evaluation, where blending PCL and natural gelatin (bovine, porcine, and fish) and MXene nanoparticles resulted in coarse morphology, enhanced mechanical strength, and tunable cell‐material interactions, highlighting porcine‐based composite as a promising material for biomedical ...
Jagan Mohan Dodda +8 more
wiley +1 more source
Single‐domain Si‐doped β‐Ga2O3 thin films grown on off‐axis sapphire eliminate domain boundaries, improving transport and photogating. Gate‐pulse modulation suppresses persistent photoconductivity, yielding ultrafast response and high detectivity. Integrated into a 24 × 24 array, the devices enable high frame rate DUV imaging and energy‐efficient ...
Jae Young Kim +9 more
wiley +1 more source
Real‐Time Behavior Recognition Using a Legged Robot for Animal–Robot Interaction
ABSTRACT Animal–robot interaction is an emerging interdisciplinary field that explores the dynamics between animals and robotic systems, as well as the design principles for effective engagement. While previous approaches have investigated animal responses to robotic stimuli, they have yet to integrate artificial intelligence (AI) for real‐time ...
Edoardo Fazzari +3 more
wiley +1 more source

