Results 181 to 190 of about 670,170 (347)

Measuring Brief (EPA) [PDF]

open access: yes, 2018
Govindgari, Shravya   +2 more
core   +2 more sources

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang   +4 more
wiley   +1 more source

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source

Moral judgments in online discourse are not biased by gender. [PDF]

open access: yesSci Rep
Betti L   +2 more
europepmc   +1 more source

Remora‐Inspired Sensing Suction Cup with Adhesion Monitoring and Force Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
A suction cup with integrated liquid metal microchannel sensors enables stable multidirectional force sensing and adhesion monitoring in both air and water. The flexible resistive sensors, placed on the outer lip, transduce deformations into resistance changes under normal and shear loads.
Yuchen Liu   +7 more
wiley   +1 more source

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen   +4 more
wiley   +1 more source

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