Results 101 to 110 of about 1,866,673 (365)
Advances in Mode (De)Multiplexing Technologies via Circularly Symmetric Structured Light Beams
This review presents a comprehensive overview of mode (de)multiplexing technologies using circularly symmetric structured light beams, encompassing strategies of beam splitter combinations, multiorder diffractive gratings, optical coordinate transformations, angular dispersion lenses, multilayer cascaded modulations, and multidimensional hybrid (de ...
Qingji Zeng+7 more
wiley +1 more source
Nonvolatile computing-in-memory (nvCIM) exhibits high potential for neuromorphic computing involving massive parallel computations and for achieving high energy efficiency.
Wei-Chen Wei+9 more
doaj +1 more source
A Hybrid Quantum Encoding Algorithm of Vector Quantization for Image Compression
Many classical encoding algorithms of Vector Quantization (VQ) of image compression that can obtain global optimal solution have computational complexity O(N).
Grover L K+11 more
core +1 more source
Energy Symmetry Breaking of Dirac and Weyl Fermions in Magnetized Spinning Conical Geometries
Exact solutions for relativistic fermions in magnetized, spinning conical geometries reveal defect‐induced symmetry breaking between fermion and antifermion energies. Energy levels depend on the magnetic field, background geometry, and fractionalized spin. When the defect's spin dominates, quantum effects diminish.
Abdullah Guvendi, Omar Mustafa
wiley +1 more source
Optimal Sequential Vector Quantization of Markov Sources [PDF]
Vivek S. Borkar+2 more
+5 more sources
Almost complex structures and geometric quantization
We study two quantization schemes for compact symplectic manifolds with almost complex structures. The first of these is the Spin-c quantization. We prove the analog of Kodaira vanishing for the Spin-c Dirac operator, which shows that the index space of ...
Borthwick, David, Uribe, Alejandro
core +2 more sources
A soft poly (3,4‐ethylenedioxythiophene):poly (styrenesulfonate)‐based electrode enables continuous, high‐quality recording of peripheral nerve activity. A neural network model integrating handcrafted and convolutional neural network‐based features decodes whisker movements with strong generalization, offering insights into peripheral nerve function ...
Liangpeng Chen+22 more
wiley +1 more source
PREDIKSI TERJANGKITNYA PENYAKIT JANTUNG DENGAN METODE LEARNING VECTOR QUANTIZATION
Learning Vector Quantization (LVQ) is a method that train the competitives layer with supervised. The competitives layer will learn automatically to classify the input vector given.
Nurul Hidayati, Budi Warsito
doaj +1 more source
Sleep deprivation triggers systemic immune activation characterized by neutrophil accumulation and cytokine release. This study reveals a conserved metabolic‒epigenetic mechanism whereby lactate‐induced H3K18 lactylation upregulates RORα expression, promoting neutrophilic inflammation.
Ren Zhou+15 more
wiley +1 more source
Efficient Large-scale Approximate Nearest Neighbor Search on the GPU
We present a new approach for efficient approximate nearest neighbor (ANN) search in high dimensional spaces, extending the idea of Product Quantization.
Lensch, Hendrik P. A.+3 more
core +1 more source