Results 111 to 120 of about 95,777 (258)

Machine Learning on Systematically Curated Data Reveals Key Determinants of Magnetic Hyperthermia Performance

Small, EarlyView.
This study presents a machine‐learning (ML) framework to predict the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) for magnetic hyperthermia. A curated dataset comprising 30 intrinsic and extrinsic features revealed strong nonlinear dependencies.
Edgar Régulo Vega‐Carrasco, Shaquib Rahman Ansari, Jiaxi Zhao, Yael del Carmen Suárez‐López, Per Larsson, Alexandra Teleki   +5 more
wiley   +1 more source

Regularized Single‐Cell Imaging Enables Generalizable AI Models for Stain‐Free Cell Viability Screening

Small Methods, EarlyView.
Recent advances in AI suggest the potential for stain‐free cell viability screening on brightfield microscopy images. However, no model has been reliably generalized across previously unseen cell types and compounds. Here, we show that “regularized imaging” of single cells in nanowells enables training of generalizable AI models for stain‐free ...
Pan Deng, Deasung Jang, Samuel G. Berryman, Simon P. Duffy, Hongshen Ma   +4 more
wiley   +1 more source

Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models

Structural Concrete, EarlyView.
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou, Shiping Huang, Belén Riveiro, M. Z. Naser   +3 more
wiley   +1 more source

Indonesian Word Sound Recognition Using Convolutional Neural Network Method

JOIV: International Journal on Informatics Visualization
Access to education, particularly in a university environment, is essential for deaf and hard-of-hearing students as more of them pursue higher education. At UIN Sunan Kalijaga the current challenges are a limited number of sign language interpreters and
Mandahadi Kusuma, Fayyadh Aunilbarr
doaj   +1 more source

Analysis of the efficiency of recognition models in streaming video

Современная наука и инновации
This article analyzes VGG, MobileNet, and ResNet architectures for medical face mask recognition in streaming video. Deep convolutional neural network is presented by Python libraries: Tensorflow, Keras, and Haar wavelets based on the models of three ...
V. M. Goryaev, G. A. Mankaeva, D. B. Bembitov, E. V. Sumyanova, R. A. Bisengaliev   +4 more
doaj   +1 more source

Aplicación web para la detección de cáncer de piel basada en aprendizaje profundo

NOVASINERGIA
El desarrollo de tecnologías avanzadas en salud es una de las áreas más apasionantes y desafiantes del siglo XXI. La aplicación del aprendizaje profundo para el diagnóstico médico representa un avance significativo en la capacidad de los sistemas ...
Fátima Katiuska Farías Rivera, Nancy Magaly Loja Mora, Fausto Juvenal Loja Mora   +2 more
doaj   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

Lightweight Hybrid Wafer Defect Pattern Network Based on Feedforward Efficient Attention

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the increase of semiconductor integration density, in order to cope with the increase of wafer defect complexity and types, especially the low recognition accuracy of overlapping mixed defects and unknown wafer defects, this study proposes a lightweight model for wafer defect detection called LightWMNet.
Zhiqiang Hu, Yiquan Wu
wiley   +1 more source

Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials

IET Power Electronics, EarlyView.
This paper outlines the methodology for predicting power loss in magnetic materials. A neural network based method is introduced, which adopts a long short‐term memory network, expressing the core loss as a function of magnetic flux density in the frequency domain, temperature, frequency, and classification of the waveforms.
Dixant Bikal Sapkota, Puskar Neupane, Mecon Joshi, Shahabuddin Khan   +3 more
wiley   +1 more source