Results 211 to 220 of about 484,401 (253)

Evaluating pediatric peripheral neuromuscular disorders using deep neural networks on electrodiagnostic data. [PDF]

Clin Neurophysiol Pract
Cooray GK, Nastasi L, Motan D, Deeb J.
europepmc   +1 more source

A multi-distance laser-induced breakdown spectroscopy data classification method based on deep convolutional neural network and spectral sample weight optimization. [PDF]

Sci Rep
Zhang X, Li L, Cui Z, Xu W, Xu X, Shu R, Liu X, Wang J.   +7 more
europepmc   +1 more source

Evaluating machine learning models for estimating evapotranspiration in Colombia's Cauca River Valley. [PDF]

Sci Rep
Rueda Cadavid JF, Cañón Castillo DM, Mendoza Castiblanco CJ, Rodríguez Vásquez AF, Cortés Bello CA.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A Comprehensive Analysis of Keras: Enhancing Deep Learning Applications in Network Engineering

Babylonian Journal of Networking, 2023
Python is currently one of the most popular programming languages that is used in the sector; it has surpassed many of its predecessors. There can be numerous reasons that make this programming language chosen by many developers – and much attention is ...
Noor Abdalkareem Lafta
semanticscholar   +1 more source

NILAI PENDIDIKAN KARAKTER DALAM NOVEL AYAH KARYA ANDREA HIRATA: NILAI RELIGIUS DAN NILAI KERJA KERAS

ENGGANG Jurnal Pendidikan Bahasa Sastra Seni dan Budaya, 2023
This study aims to determine the values ​​of character education in the novel Ayah by Andrea Hirata. This research is focused on analyzing the values ​​of religious character education and hard work in the novel Ayah.
Ellawati, Susi Darihastining, Henny Sulistyowati   +2 more
semanticscholar   +1 more source

Data-driven crash prediction by injury severity using a recurrent neural network model based on Keras framework

International Journal of Injury Control and Safety Promotion, 2023
With the development of big data technology and the improvement of deep learning technology, data-driven and machine learning application have been widely employed.
Dajie Zuo, Chengyu Qian, Daiquan Xiao, X. Xu, Hongya Wang   +4 more
semanticscholar   +1 more source