Results 51 to 60 of about 21,730 (245)
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher +3 more
wiley +1 more source
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley +1 more source
Abstract Purpose To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science (inception to June 2026) for peer‐reviewed studies ...
Amna Gillani +5 more
wiley +1 more source
Repeat-punctured superorthogonal convolutional turbo codes on AWGN and flat Rayleigh fading channels
Repeat-punctured turbo codes, an extension of the conventional turbo-coding scheme, has shown a significant increase in bit-error rate performance at moderate to high signal-to-noise ratios for short frame lengths.
Narushan Pillay +2 more
doaj
Performance of JPEG Image Transmission Using Proposed Asymmetric Turbo Code
This paper gives the results of a simulation study on the performance of JPEG image transmission over AWGN and Rayleigh fading channels using typical and proposed asymmetric turbo codes for error control coding.
Mohamad Yusoff Alias +2 more
doaj +1 more source
A turbo coded cooperative orthogonal frequency division multiplexing (OFDM) with multiple-input multiple-output (MIMO) antennas scheme is considered, and its performance over a fast Rayleigh fading channel is evaluated.
Rahim Umar, Fengfan Yang, Shoaib Mughal
doaj +1 more source
ABSTRACT Purpose To create a realistic in silico brain phantom for positive and negative magnetic susceptibility that incorporates susceptibility anisotropy, enabling the evaluation of how susceptibility anisotropy influences susceptibility separation algorithm performance.
Daniel Ridani +2 more
wiley +1 more source
ABSTRACT Purpose To improve on a multiparametric technique—known as Fat DESPOT—to map the fat‐ and water‐specific R1$$ {R}_1 $$ (R1f$$ {R}_{1f} $$, R1w$$ {R}_{1w} $$), R2*$$ {R}_2^{\ast } $$, and proton density fat fraction (PDFF) by upgrading the parameter initialization and introducing explicit model sensitivity to the complex phase of the water and ...
Renée‐Claude Bider +5 more
wiley +1 more source
Turbo Equalization Based on a Virtual Decoder for Underwater Acoustic Communication
By transferring external information between the equalizer and the decoder iteratively, the performance of turbo equalization is close to the channel capacity.
Cong Peng +4 more
doaj +1 more source
New High Performance Deterministic Interleavers for Turbo Codes
Turbo codes offer extraordinary performance, especially at low signal to noise ratios, due to a low multiplicity of low weight code words. The interleaver design is critical in order to realize an apparent randomness of the code, thus further enhancing
TRIFINA, L. +4 more
doaj +1 more source

