Results 201 to 210 of about 6,659,086 (346)

SIMULATION STUDY OF STOCHASTIC CHANNEL REDISTRIBUTION

open access: yes, 2014
In this paper, we investigate sales redistribution between direct (i.e., “on-line”) and indirect channels when market demand exhibits a general stochastic pattern.
Dong-Qing, Yao, Yao Dong-qing
core  

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

open access: yesAdvanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen   +9 more
wiley   +1 more source

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni   +10 more
wiley   +1 more source

Stochastic simulation to optimize rice breeding at IRRI. [PDF]

open access: yesFront Plant Sci
Seck F   +7 more
europepmc   +1 more source

Path properties of simulation schemes for the Heston stochastic volatility model. [PDF]

open access: yes
The aim of this study is to evaluate some simulation schemes recently suggested for the Heston model by examining their ability in reproducing, on the simulated paths, the autocovariance function of the generated model, when discretely observed.
Gianna Figà-Talamanca
core  

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar   +9 more
wiley   +1 more source

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