On the properties of generalized multiplicative coupled fibonacci sequence of rth order [PDF]
A. D. Godase, M. B. Dhakne
doaj
GWAS-Informed Candidate Genetic Variants and Gene-Gene/Gene-Environment Interaction Patterns Associated with Intervertebral Disc Degeneration: A Chinese Han Case-Control Study. [PDF]
Lei R +6 more
europepmc +1 more source
Nanoscale secondary ion mass spectrometry (Nano SIMS) is established as a powerful analytical tool to visualize and quantify the membrane fouling layers. ABSTRACT Membrane technology has garnered considerable attention for applications in wastewater treatment and resource recovery. Nevertheless, membrane fouling remains a major barrier, yet the lack of
Mengfei Wu +4 more
wiley +1 more source
An Adaptive Fourth-order Model for Multiplicative Noise Removal
In this paper, we focus on the problem of removing multiplicative (speckle) noise.Furthermore, a fourth-order model has been proposed. We show numerical experiments toillustrate the effectiveness of the suggested method in denoising images contaminated ...
Siddig, Abdelgader
core
Simulations on Scintillator Thicknesses for Bone Mineral Density Measurement Based on Dual-Layer Flat-Panel Detectors. [PDF]
Kim J, Kim DS, Lee E.
europepmc +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Fault-Tolerant Formation Tracking Control for Multi-Agent Systems with Bearing-Only Measurement. [PDF]
Zhao Y, Wang J, Dou L, Zhou M, Ju S.
europepmc +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Top-down feedback in deep neural networks leads to functional differences during audiovisual integration. [PDF]
Tugsbayar M +3 more
europepmc +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source

