Results 91 to 100 of about 15,702 (241)

Genetic Algorithm‐Driven Analysis of Gravitational Water Vortex Power Plant Runner Performance: A Comparative Study Integrating Experimental and Computational Fluid Dynamics

Energy Science &Engineering, EarlyView.
This study integrates genetic algorithm optimization, CFD simulation, and experimental validation to identify the optimal runner geometry for a gravitational water vortex turbine. The combined approach enhances vortex stability and improves energy conversion efficiency, demonstrating strong agreement between predicted and measured performance ...
Zakaria. A. Mwakitwange, Adam Faraji
wiley   +1 more source

Mechanical stability in flexible perovskite solar cells: Interface engineering and device design

FlexMat, EarlyView.
Statistics of the improvement methods for f‐PSCs. Abstract Flexible perovskite solar cells (f‐PSCs) demonstrate significant potential for application in next‐generation wearable electronic devices and photovoltaic building integration due to their high power conversion efficiency and excellent power‐to‐weight ratio. However, the inherent brittleness of
Hong‐Yi Hou, Xin‐Yi Zeng, Jian‐Xin Tang, Yan‐Qing Li   +3 more
wiley   +1 more source

Design and Implementation of ESP32-Based Edge Computing for Object Detection

Sensors
This paper explores the application of the ESP32 microcontroller in edge computing, focusing on the design and implementation of an edge server system to evaluate performance improvements achieved by integrating edge and cloud computing.
Yeong-Hwa Chang, Feng-Chou Wu, Hung-Wei Lin   +2 more
doaj   +1 more source

Monitoring and assessment for obstructive sleep apnea

FlexMat, EarlyView.
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu, Feifei Lin, Shujiao Chen, Zhen You, Shujing Zhu, Weiwei Zhao, Qiang Zhao   +6 more
wiley   +1 more source

Artificial structures for human‐machine interfaces with closed‐loop interaction

FlexMat, EarlyView.
Artificial structures bridge sensing and feedback in closed‐loop human‐machine interfaces by providing geometry‐enabled mechanical and functional programmability. This review maps the role of artificial structures in diverse sensing modalities and feedback strategies, and illustrates their integration into closed‐loop interaction systems, highlighting ...
Taiqi Hu, Taisong Pan, Siqi Chen, Yiting Zhang, Yuan Lin   +4 more
wiley   +1 more source

A Review on Resource-Constrained Embedded Vision Systems-Based Tiny Machine Learning for Robotic Applications

Algorithms
The evolution of low-cost embedded systems is growing exponentially; likewise, their use in robotics applications aims to achieve critical task execution by implementing sophisticated control and computer vision algorithms. We review the state-of-the-art
Miguel Beltrán-Escobar, Teresa E. Alarcón, Jesse Y. Rumbo-Morales, Sonia López, Gerardo Ortiz-Torres, Felipe D. J. Sorcia-Vázquez   +5 more
doaj   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite

Information
This paper proposes a new benchmark specifically designed for in-sensor digital machine learning computing to meet an ultra-low embedded memory requirement.
Fabrizio Maria Aymone, Danilo Pietro Pau
doaj   +1 more source

The regulation of stem cell fate and its application in neural regeneration

Interdisciplinary Medicine, EarlyView.
Regulating stem cell fate is crucial for neural regeneration. This review summarizes key physical, biological, and chemical strategies and their applications in repairing nerve injuries, providing new insights for regenerative medicine. Abstract Regulating the fate of stem cells (SCs) is a key technical problem in the field of regenerative medicine and
Yuexin He, Xingyu Chen, Minghong He, Zhe Li   +3 more
wiley   +1 more source

Tiny Machine Learning Environment: Enabling Intelligence on Constrained Devices.

, 2023
Running machine learning algorithms (ML) on constrained devices at the extreme edge of the network is problematic due to the computational overhead of ML algorithms, available resources on the embedded platform, and application budget (i.e., real-time requirements, power constraints, etc.).
openaire   +2 more sources