Results 211 to 220 of about 217,698 (308)

Sigmoid Activation Function in Selecting the Best Model of Artificial Neural Networks

open access: diamond, 2020
Heny Pratiwi   +8 more
openalex   +1 more source

Psoas Muscle Volume as a Predictor of Postoperative Complications in Patients Undergoing Emergency Surgery for Strangulated Small Bowel Obstruction: A Retrospective Single‐Center Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This retrospective study identified low preoperative psoas muscle volume, measured by computed tomography, as an independent predictor of postoperative complications in patients undergoing emergency surgery for strangulated small bowel obstruction. Low psoas muscle volume, particularly in older adults, was associated with cardiopulmonary and systemic ...
Takuya Shiraishi   +9 more
wiley   +1 more source

Ileosigmoid knot: Diagnostic value of CT in a rare double-volvulus entity. [PDF]

open access: yesRadiol Case Rep
El Moujahid M   +9 more
europepmc   +1 more source

Nonlinear Image Enhancement by Self-Adaptive Sigmoid Function

open access: bronze, 2015
Qihang He   +2 more
openalex   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

An Area-Efficient and Low-Error FPGA-Based Sigmoid Function Approximation [PDF]

open access: gold
Vinicius de Azevedo Bosso   +4 more
openalex   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

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