Results 121 to 130 of about 245,006 (326)
Image-based histologic grade estimation using stochastic geometry analysis [PDF]
, 2011 Sokol Petushi +4 more
openalex +1 more source
Ultralow Loss Coupling Tuning of Photonic Accelerators
Advanced Photonics Research, EarlyView.A polymer material cured by electron beam is used to perform precise and ultralow loss tuning on photonic accelerators made for highly efficient computation. The versatility of the technique is demonstrated on a large number of directional coupler devices with varying initial coupling ratios and application on a crossbar array for matrix multiplication
Zhongyu Tang +5 more
wiley +1 more source
A stochastic geometry approach to energy efficiency in relay-assisted cellular networks [PDF]
, 2012 Na Deng +3 more
openalex +1 more source
Advanced Robotics Research, EarlyView.This review systematically examines robotic systems for robot‐assisted transoral surgical procedures, classifying them based on transoral access depth, and evaluates their fundamental design principles, mechanical innovations, algorithmic advancements, and clinical implementation status.
Yuhao Shi +5 more
wiley +1 more source
An Analytical Framework for Multicell Cooperation via Stochastic Geometry and Large Deviations [PDF]
, 2012 Kaibin Huang, Jeffrey G. Andrews
openalex +1 more source
Advanced Sensor Research, EarlyView.This study introduces a textile‐based capacitive pressure sensor featuring a triangular prism microstructure, which significantly enhances sensitivity to 5.52% kPa−¹ and supports a wide sensing range up to 330 kPa. The sensor's performance is validated in a 4‐channel capacitive pressure‐based force myography (cFMG) armband for gesture recognition ...
Rayane Tchantchane +3 more
wiley +1 more source
New Directions into the Stochastic Geometry Analysis of Dense CSMA Networks [PDF]
, 2012 G. Alfano +2 more
openalex +1 more source
Data‐Driven Lithium Salt Design for Long‐Cycle Lithium Metal Battery
Advanced Sustainable Systems, EarlyView.This study introduces a data‐driven model to predict Coulombic efficiency and lithium thickness evolution in lithium metal batteries using electrolyte composition and DFT‐derived descriptors. Machine learning models, especially XGBoost and random forest, reduce prediction error by over 50% compared to models using only structural information.
Un Hwan Lee +4 more
wiley +1 more source
Advanced Theory and Simulations, EarlyView.Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu +7 more
wiley +1 more source