Stochastic Geometry Modeling and Analysis of Finite Millimeter Wave Wireless Networks [PDF]
Seyed Mohammad Azimi‐Abarghouyi+3 more
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Narrowband Internet of Things via Low Earth Orbit Satellite Networks: An Efficient Coverage Enhancement Mechanism Based on Stochastic Geometry Approach. [PDF]
Hong T, Yu X, Liu Z, Ding X, Zhang G.
europepmc +1 more source
Species associations in a species-rich subtropical forest were not well-explained by stochastic geometry of biodiversity. [PDF]
Wang Q+11 more
europepmc +1 more source
Geolocation-Based Access for Vehicular Communications: Analysis and Optimization via Stochastic Geometry [PDF]
Francisco J. Martín-Vega+4 more
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Synaptic Function in Memristor Devices for Neuromorphic Circuit Applications
Discover how neuromorphic devices mimic brain‐like learning: this article explores how ionic and electronic conduction processes enable artificial synapses to adapt across time scales. Uncover the essential ingredients—state‐variable dynamics, rectification, and memory—and how they can be probed through nonlinear diagnostics to engineer smarter, more ...
Juan Bisquert+3 more
wiley +1 more source
Parametrization and Validation of Geometry-Based Stochastic Channel Model for Urban Small Cells at 10 GHz [PDF]
Antti Roivainen+6 more
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Low‐dimensional 7‐methyquinolinium iodobismuthate on a silicon substrate with one input and 15 output gold electrodes as a physical reservoir devices is applied, for MNIST digit classification with 82.26% accuracy and voice classification for digit 2 for six different people with 82 % accuracy.
Gisya Abdi+7 more
wiley +1 more source
Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone+7 more
wiley +1 more source
Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning
This article presents an active learning approach using Bayesian optimization to calibrate the multiphase‐field model parameters for simulating the aging of Ni‐GDC anodes in SOFCs. By integrating experimental data and navigating through complex parameter spaces, it enhances predictive accuracy and provides insights into microstructural evolution ...
R. K. Jeela+6 more
wiley +1 more source
The review highlights the multifunctional capabilities of thermoelectric sensors integrated with advanced features such as biocompatibility, advanced integration, self‐healing, and environmental adaptability. Emphasizing sustainability and adaptability, these sensors offer enhanced durability, increased efficiency, reduced waste, and seamless ...
Neeraj Dhariwal+9 more
wiley +1 more source