Results 201 to 210 of about 219,967 (286)

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

open access: yesSmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo   +2 more
wiley   +1 more source

Spatial Statistics for Screening Molecular Structures

open access: yesSmall, EarlyView.
Deep architectures for materials discovery demand vast training data and obscure the structure‐property link. This review shows how spatial statistics offer a physically grounded alternative: voxelized fields and two‐point correlations, compressed by principal component analysis, yield convex, interpretable descriptors. Lean surrogates then reach sub‐2%
Pranoy Ray, Surya R. Kalidindi
wiley   +1 more source

Microfluidic Molecular Diagnostic Chips: Functional Modules, Integration Strategies, and Emerging Applications

open access: yesSmall Methods, EarlyView.
This comprehensive review delivers an engineering‐centric analysis of microfluidic molecular diagnostic chips, breaking them down into foundational modules from fluid manipulation to bio‐sensing. Beyond chip design, it evaluates sample‐to‐answer integration strategies and commercial readiness levels.
Donghoon Koo   +7 more
wiley   +1 more source

A Test of the Coase Conjecture Using Prices of Electronic Books

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT The Coase Conjecture predicts that a durable‐goods monopolist without commitment will rapidly cut price toward marginal cost. We test this prediction in the electronic‐book market using release‐day prices. To proxy for marginal cost, we use competitive prices of public‐domain electronic books on the same platforms.
Tim Groseclose, Alex Tabarrok
wiley   +1 more source

Toward an Intermediate Structural Representation of Organization in Complex Systems

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT Organization is widely recognized as a fundamental concept in complex systems science, yet it rarely appears as an explicit object of scientific representation. Existing approaches successfully represent components, interactions, mechanisms, dynamical states, networks, or functions, but organizational properties are generally inferred from ...
Paméla Magotte
wiley   +1 more source

Home - About - Disclaimer - Privacy