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TensorFlow Enabled Genetic Programming [PDF]

open access: yesProceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
Genetic Programming, a kind of evolutionary computation and machine learning algorithm, is shown to benefit significantly from the application of vectorized data and the TensorFlow numerical computation library on both CPU and GPU architectures. The open
Aniyan, Arun   +4 more
core   +2 more sources

TensorFlow Doing HPC [PDF]

open access: yes2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2019
TensorFlow is a popular emerging open-source programming framework supporting the execution of distributed applications on heterogeneous hardware. While TensorFlow has been initially designed for developing Machine Learning (ML) applications, in fact ...
Bulatov, Yaroslav   +5 more
core   +2 more sources

Weather Classification Model Performance: Using CNN, Keras-Tensor Flow [PDF]

open access: yesITM Web of Conferences, 2022
Nowadays, automation is at its peak. The article provides a base to examine the weather through the machine without human intervention. This study offers a thorough classification model to forecast a weather type. Here, the model facilitates defining the
Sharma Ashish, Saad Ismail Zaid
doaj   +1 more source

Disease Diagnosis Systems Using Machine Learning and Deep learning Techniques Based on TensorFlow Toolkit: A review [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2022
Machine learning and deep learning algorithms have become increasingly important in the medical field, especially for diagnosing disease using medical databases.
Firdews A.Alsalman   +2 more
doaj   +1 more source

System segmentation of Lungs in images chest x-ray using the generative adversarial network [PDF]

open access: yesITM Web of Conferences, 2022
One of the most common medical imaging methods is a chest x-ray, as it contributes to the early detection of lung cancer compared to other methods.
El Mansouri Omar   +2 more
doaj   +1 more source

Democratizing Deep Learning Applications in Earth and Climate Sciences on the Web: EarthAIHub

open access: yesApplied Sciences, 2023
Most deep learning application studies have limited accessibility and reproducibility for researchers and students in many domains, especially in earth and climate sciences.
Muhammed Sit, Ibrahim Demir
doaj   +1 more source

Beans Leaf Diseases Classification Using MobileNet Models

open access: yesIEEE Access, 2022
In recent years, plant leaf diseases has become a widespread problem for which an accurate research and rapid application of deep learning in plant disease classification is required, beans is also one of the most important plants and seeds which are ...
Elhoucine Elfatimi   +2 more
doaj   +1 more source

Sistem Deteksi Masker Berbasis Jetson Nano dengan Deep Learning Framework TensorFlow

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2023
Indonesia merupakan salah satu negara yang mengalami dampak virus COVID-19. Segala upaya dilakukan untuk menanggulangi penyebaran virus ini. Salah satu langkah yang efisien guna menanggulangi dampak ini adalah dengan menerapkan protokol kesehatan yang ...
Muhammad Luqman Bukhori   +1 more
doaj   +1 more source

Emulating the estuarine morphology evolution using a deep convolutional neural network emulator based on hydrodynamic results of a numerical model

open access: yesJournal of Hydroinformatics, 2022
Coastal and estuarine areas present remarkable environmental values, being key zones for the development of many human activities such as tourism, industry, fishing, and other ecosystem services.
Willian Weber de Melo   +2 more
doaj   +1 more source

Gab-SSDS: An AI-Based Similar Days Selection Method for Load Forecast

open access: yesFrontiers in Energy Research, 2022
The important, while mostly underestimated, step in the process of short-term load forecasting–STLF is the selection of similar days. Similar days are identified based on numerous factors, such as weather, time, electricity prices, geographical ...
Zoran Janković   +4 more
doaj   +1 more source

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