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
L-SHADE-Optimized Active Disturbance Rejection for Sensorless PMSM Drives Under Complex Uncertainties. [PDF]
Chen X, Yang T, Zhang B, Zhang L.
europepmc +1 more source
Power Line Bandwidth Estimation for Video Streaming
最新的電力線通訊科技可應用於數位家庭中的高畫質視訊串流。然而,透過電力線傳輸的視訊對於電力線環境的干擾十分敏感。這些干擾(例如來自電器用品)可能造成封包遺失或甚至降低通道頻寬。在這樣的環境下傳輸,通道頻寬的資訊對於視訊串流非常重要。然而,已知的頻寬預測方法是針對網際網路與無線網路而設計,由於電力線網路的媒介使用控制(Media Access Control)以及通道干擾的特性不同,使已知的頻寬預測方法不適用於此。 在本論文中,我們首先探討室內電力線網路的特性,並提出了一套新的頻寬預測架構。接下來 ...
Lin, Chang-Kuan, 林長寬
core
TRIM: Simultaneous Thermometry, Ranging, and Imaging via a Monolithic Metalens
ABSTRACT While metasurfaces offer a pathway beyond the discrete architectures of conventional LWIR systems, physically fusing high‐precision thermometry and passive ranging onto a single metalens remains a formidable challenge. Here, we demonstrate a monolithic, dual‐focus metalens capable of simultaneous multidimensional sensing.
Man Yuan +10 more
wiley +1 more source
Uniform in Bandwidth Consistency of the <i>L</i><sup>1</sup>-Modal Regression Estimator for High-Dimensional Data. [PDF]
Almulhim FA, Alamari MB, Laksaci A.
europepmc +1 more source
An Improved Method for Bandwidth Selection when Estimating ROC Curves [PDF]
The receiver operating characteristic (ROC) curve is used to describe the performance of a diagnostic test which classifies observations into two groups.
Peter Hall, Rob J. Hyndman
core
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
Data-driven theoretical characterization of β-decay spectra in radioisotope energy materials via artificial fish swarm optimized adaptive kernel density estimation. [PDF]
Ma Y +5 more
europepmc +1 more source
This study demonstrates, for the first time, the use of a large‐format high‐pressure press to modify synthesized Li2SrSiO4:Eu2+,Cs+ phosphors after its preparation. The pressure treatment results in the formation of new materials with distinctive optical properties, opening pathways for the development of advanced LED devices and high‐performance ...
Przemysław Woźny +9 more
wiley +1 more source
A Genetic Algorithm-Optimized Kernel Density Estimation and D-S Evidence Fusion Classification for Predicting the Stability of Double Perovskite Materials. [PDF]
Liang G, Zhang J.
europepmc +1 more source

