Results 121 to 130 of about 6,927,638 (333)
Pareto distribution in virtual education: challenges and opportunities. [PDF]
Valkanas K, Diamandis P.
europepmc +1 more source
Multivariate generalized Pareto distributions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rootzén, Holger, Tajvidi, Nader
openaire +2 more sources
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Pareto Distribution-Based Shewhart Control Chart for Early Detection of Process Mean Shifts
The Pareto distribution is of paramount importance in actuarial science, wealth distribution, finance, etc. This paper introduces a control chart inspired by Shewhart's methodology, designed for monitoring shifts in the Pareto distribution through a ...
Aamir Saghir +3 more
doaj +1 more source
On the Irreconcilability of Pareto and Gibrat Laws [PDF]
If business firms face a multiplicative growth process in which their growth rates are independent from their sizes, then these sizes cannot be distributed according to a stationary Pareto distribution.
Giulio Bottazzi
core
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee +4 more
wiley +1 more source
A method of forming a self-similar flow with a given Hurst parameter for network traffic modeling
This article addresses the problem of adequate network traffic modeling. A new method is proposed that enables the generation of self-similar packet flows with an arbitrarily specified degree of self-similarity.
P.E. Pustovoitov, V.O. Kompaniets
doaj +1 more source
On a kinetic model for a simple market economy [PDF]
In this paper, we consider a simple kinetic model of economy involving both exchanges between agents and speculative trading. We show that the kinetic model admits non trivial quasi-stationary states with power law tails of Pareto type.
Giuseppe Toscani +2 more
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