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View article: OSC-Net: a multi-fidelity machine learning model for organic solar cells
OSC-Net: a multi-fidelity machine learning model for organic solar cells Open
OSC-Net, a novel multi-fidelity machine learning framework, enables accurate prediction of organic solar cell (OSC) performance and accelerates OSC materials discovery.
View article: An energy auditing system based on learnable positional embedding and edge computing for in-situ monitoring of 3D printing processes
An energy auditing system based on learnable positional embedding and edge computing for in-situ monitoring of 3D printing processes Open
Additive manufacturing (AM), commonly known as 3D printing, along with its sensing, communicating, and computing networks forms a complex cyber-physical system (CPS), which, however, is also vulnerable to anomalies, performance degradation…
View article: Narrowing Signal Distribution by Adamantane Derivatization for Amino Acid Identification Using an α-Hemolysin Nanopore
Narrowing Signal Distribution by Adamantane Derivatization for Amino Acid Identification Using an α-Hemolysin Nanopore Open
The rapid progress in nanopore sensing has sparked interest in protein sequencing. Despite recent notable advancements in amino acid recognition using nanopores, chemical modifications usually employed in this process still need further re…
View article: Evaluation of Online Andrology Medical Services in Central Regions of China During the COVID-19 Pandemic: A Cross-Sectional Data Analysis Study
Evaluation of Online Andrology Medical Services in Central Regions of China During the COVID-19 Pandemic: A Cross-Sectional Data Analysis Study Open
To provide an overview of the current situation, challenges, and trends in online medical services from the perspective of andrology and promote the development of online medical services. Users of the Learning Alliance of Urology, who mai…
View article: An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks Open
Current state-of-the-art methods of image classification using convolutional neural networks are often constrained by both latency and power consumption. This places a limit on the devices, particularly low-power edge devices, that can emp…