Results 21 to 30 of about 25,600 (268)

Prediction and monitoring model for farmland environmental system using soil sensor and neural network algorithm

Open Physics, 2023
In this study, data fusion algorithm is used to classify the soil species and calibrate the soil humidity sensor, and by using edge computing and a wireless sensor network, farmland environment monitoring system with a two-stage calibration function of ...
Song Tao, Si Yulong, Gao Jie, Wang Wei, Nie Congwei, Klemeš Jiří Jaromír   +5 more
doaj   +1 more source

Identifikasi Citra Batu Mulia dengan Menggunakan Metode Jaringan Saraf Tiruan Backpropagation

Jurnal Eksplora Informatika, 2019
Batuan mulia (gemstone) merupakan salah satu kekayaan alam yang dapat dijadikan perhiasan dan koleksi. Terdapat beberapa jenis batuan seperti ruby, sapphire, zamrud, topaz, kecubung, dan kalimaya.
Meylda Kurnia Emylia Putri
doaj   +1 more source

Prediction of signal attenuation value caused by weather changes on cellular communication networks using backpropagation algorithm

Jurnal Jaringan Telekomunikasi, 2022
The value of signal attenuation by the resulting weather changes may differ at any time. The collection of signal power data with different times, weather, humidity, rainfall, and temperatures using the drive test method in Malang area will be processed ...
Hudiono Hudiono, Aurel Yllonia, Amalia Eka Rakhmania   +2 more
doaj   +1 more source

Implementasi Jaringan Saraf Tiruan Untuk Menentukan Kelayakan Proposal Tugas Akhir

IT Journal Research and Development, 2019
Sebuah Proposal Tugas Akhir (TA) yang diajukan mahasiswa harus diseleksi oleh Ketua Program Studi (KPS) untuk menentukan apakah proposal tersebut layak atau tidak untuk dilanjutkan sebagai salah satu syarat kelulusan, khususnya pada D3 Manajemen ...
Fitri Ayu
doaj   +1 more source

Gradient Amplification: An Efficient Way to Train Deep Neural Networks

Big Data Mining and Analytics, 2020
Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address these challenges, one of which is to increase the depth of the neural ...
Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan   +3 more
doaj   +1 more source

Neural network channel estimator for time‐variant frequency‐selective fading channels

Electronics Letters, 2023
The next generations of wireless communications systems are pushing the limits of the channel estimation methods utilized in the orthogonal frequency division multiplexing receptors.
Vinicius Piro Barragam, Fadi Jerji, Cristiano Akamine   +2 more
doaj   +1 more source

Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys

Crystals
This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables.
Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy   +5 more
doaj   +1 more source

Novel Adaptive Bayesian Regularization Networks for Peristaltic Motion of a Third-Grade Fluid in a Planar Channel

Mathematics, 2022
In this presented communication, a novel design of intelligent Bayesian regularization backpropagation networks (IBRBNs) based on stochastic numerical computing is presented.
Tariq Mahmood, Nasir Ali, Naveed Ishtiaq Chaudhary, Khalid Mehmood Cheema, Ahmad H. Milyani, Muhammad Asif Zahoor Raja   +5 more
doaj   +1 more source

Visual Backpropagation

CoRR, 2019
We show how a declarative functional programming specification of backpropagation yields a visual and transparent implementation within spreadsheets. We call our method Visual Backpropagation. This backpropagation implementation exploits array worksheet formulas, manual calculation, and has a sequential order of computation similar to the processing of
openaire   +2 more sources

Differences in Sodium Channel Densities in the Apical Dendrites of Pyramidal Cells of the Electrosensory Lateral Line Lobe

Frontiers in Neural Circuits, 2019
Heterogeneity of neural properties within a given neural class is ubiquitous in the nervous system and permits different sub-classes of neurons to specialize for specific purposes.
Sree I. Motipally, Kathryne M. Allen, Daniel K. Williamson, Gary Marsat   +3 more
doaj   +1 more source