Results 181 to 190 of about 245,006 (326)

Analyzing Uplink SINR and Rate in Massive MIMO Systems Using Stochastic Geometry

, 2015
Tianyang Bai, Robert W. Heath
openalex   +2 more sources

Ionic‐Electronic Coupling Modulation Induced by Nanofibrous Phase Separation for Synaptic Organic Electrochemical Transistors

Aggregate, EarlyView.
Nanofibrous phase separationengineered polymer blends enable ionic‐electronic coupling modulation in organic electrochemical transistors. The resulting synaptic devices exhibit multiscale plasticity, stochastic weight updating, and robust classification performance, offering a scalable material strategy toward hardware‐based neuromorphic computing ...
Canghao Xu, Lin Gao, Yujie Peng, Changjian Liu, Ding Zheng, Junsheng Yu   +5 more
wiley   +1 more source

Mapping uncertainty using differentiable programming

AIChE Journal, EarlyView.
Abstract Uncertainty quantification (UQ) and propagation is a ubiquitous challenge in science, permeating our field in a general fashion, and its importance cannot be overstated. Recently, the commoditization of differentiable programming, motivated by the development of machine learning, has allowed easier access to tools for evaluating derivatives of
Victor Alves, Carl D. Laird, Fernando V. Lima, John R. Kitchin   +3 more
wiley   +1 more source

Performance analysis of satellite-terrestrial integrated wireless network based on stochastic geometry

Dianxin kexue
Satellite-terrestrial integrated wireless network (STIN) is a pivotal approach in achieving worldwide wireless connectivity. To guide base stations deployment of STIN, an analysis of the uplink coverage probability was conducted.
LI Ruiwen, SUN Yaohua, PENG Mugen
doaj  

An Invitation to Second-Order Stochastic Differential Geometry

, 2007
Michel Émery
openalex   +1 more source

A Stochastic Geometry Analysis of Large-scale Cooperative Wireless Networks Powered by Energy Harvesting

, 2015
Talha Ahmed Khan, Philip V. Orlik, Kyeong Jin Kim, Robert W. Heath, Kentaro Sawa   +4 more
openalex   +2 more sources

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Attosecond X-ray spectroscopy reveals the competing stochastic and ballistic dynamics of a bifurcating Jahn-Teller dissociation. [PDF]

Nat Commun
Matselyukh D, Svoboda V, Wörner HJ.
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Chip-based label-free incoherent super-resolution optical microscopy. [PDF]

Light Sci Appl
Jayakumar N, Villegas-Hernández LE, Zhao W, Mao H, Dullo FT, Tinguely JC, Sagini K, Llorente A, Ahluwalia BS.   +8 more
europepmc   +1 more source