Coincidence and Common Fixed Point of Weakly Compatible Maps in Fuzzy Metric Space
Saurabh Manro, Sumitra nbsp
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The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li +5 more
wiley +1 more source
Edge computing based english translation model using fuzzy semantic optimal control technique. [PDF]
Wang N.
europepmc +1 more source
Neural Response Reliability as a Marker of the Transition of Neural Codes along Auditory Pathways
Decoding sound from neural activity in mice reveals a striking shift in how the brain encodes sound: from precise but redundant timing codes in early auditory areas to efficient, synergistic rate‐based codes in the cortex. This transformation highlights a robust neural strategy for turning complex acoustic input into coherent perception across the ...
Alexa Buck +7 more
wiley +1 more source
Overlapping community detection based on bridging structural features and fuzzy C-means. [PDF]
Wang A, Li M, Gao X, Li B, Su Z.
europepmc +1 more source
Fixed point results for contractive mappings in complex valued fuzzy metric spaces [PDF]
Satish Shukla +2 more
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SpaBatch is an end‐to‐end multi‐slice spatial transcriptomics data integration framework. It simultaneously performs embedding learning, spatial feature denoising and reconstruction, batch effect correction, and spatial domain optimization, effectively correcting batch effects and achieving accurate 3D spatial domain identification.
Jinyun Niu +5 more
wiley +1 more source
Early heart disease prediction using LV-PSO and Fuzzy Inference Xception Convolution Neural Network on phonocardiogram signals. [PDF]
Prabha Devi D, Palanisamy C.
europepmc +1 more source
Dynamic Synthesis of Multi‐Modal Representations for CITE‐seq Data Integration and Analysis
The accurate integration of CITE‐seq modalities faces challenges due to complex RNA‐protein nonlinear interactions and computational inefficiencies. A lightweight framework that adaptively fuses RNA and ADT modalities, and refines them through fine‐grained learning is developed to address this issue.
Yinan Shi +5 more
wiley +1 more source

