Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data- and Cognitive Scientists. [PDF]
Haim E, Stella M.
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Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Transcranial focused ultrasound stimulation enhances semantic memory by modulating brain morphology, neurochemistry and neural dynamics. [PDF]
Jung J +3 more
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This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu +4 more
wiley +1 more source
MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li +10 more
wiley +1 more source
LM-UNet: Lightweight Mamba-UNet Prostate MRI image segmentation network. [PDF]
Xu K +5 more
europepmc +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
Fed-DTCN: A Federated Disentangled Learning Framework for Unsupervised Zero-Day Anomaly Detection in IoT with Semantic-Aware Augmentation. [PDF]
Khan MA, Khalid O, Rais RNB.
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Abstract This manuscript centers on the experiences of caretakers of minors in Honduran transnational families (TNFs) in which one or both parents emigrated, and of the schoolteachers, professional psychologists, and spiritual leaders working with these families.
Marco Gemignani +2 more
wiley +1 more source
Federated learning-powered real-time behavioral intrusion detection leveraging LSTM, attention, GANs, and large language models. [PDF]
AlHayan A, Al-Muhtadi J.
europepmc +1 more source

