Results 1 to 10 of about 35,667 (167)

Enhanced probabilistic prediction of pavement deterioration using Bayesian neural networks and cuckoo search optimization [PDF]

Scientific Reports
The predictive performance of probabilistic pavement condition deterioration is critical for effective maintenance and rehabilitation decisions.
Feng Xiao, Biying Shi, Jie Gao, Huapeng Chen, Di Yang   +4 more
doaj   +2 more sources

Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects

Physics Letters B, 2018
Bayesian neural network (BNN) approach is employed to improve the nuclear mass predictions of various models. It is found that the noise error in the likelihood function plays an important role in the predictive performance of the BNN approach.
Z.M. Niu, H.Z. Liang
doaj   +4 more sources

High Precision Speech Keyword Spotting Based on Binary Deep Neural Network in FPGA [PDF]

Entropy
Deep Neural Networks (DNNs) are the primary approach for enhancing the real-time performance and accuracy of Keyword Spotting (KWS) systems in speech processing.
Ang Zhang, Jialiang Shi, Hui Qian, Junjie Wang   +3 more
doaj   +2 more sources

Forward geometric model prediction of a 6-RSU parallel manipulator using a modified NARX Bayesian neural network [PDF]

Heliyon
The precision and safety of robotic applications rely on accurate robot models. Bayesian Neural Networks (BNNs) offer the capability to acquire intricate models and provide insights into inherent uncertainties.
Alaa Aldeen Joumah, Assef Jafar, Chadi Albitar   +2 more
doaj   +2 more sources

LDF-BNN: A Real-Time and High-Accuracy Binary Neural Network Accelerator Based on the Improved BNext [PDF]

Micromachines
Significant progress has been made in industrial defect detection due to the powerful feature extraction capabilities of deep neural networks (DNNs).
Rui Wan, Rui Cen, Dezheng Zhang, Dong Wang   +3 more
doaj   +2 more sources

Skip-Connected CNN Exploiting BNN Surrogate for Antenna Modelling

International Journal of Antennas and Propagation
The combination of evolutionary algorithms with full-wave electromagnetic (EM) simulation software is an effective method for antenna optimal design. However, the high computational cost of calling the full-wave EM simulation hundreds or thousands of ...
Yubo Tian, Jinlong Sun, Zhiwei Zhu
doaj   +2 more sources

Peranan Badan Narkotika Nasional (BNN) dalam Mencegah dan Menanggulangi Peredaran Narkoba Di Kab. Polewali Mandar

Alauddin Law Development Journal, 2021
Pokok masalah yang penulis angkat pada skripsi ini dilatarbelakangi oleh Peredaran narkotika di Indonesia yang terus cenderung meningkat terkhusus di kabupeten atau kota dimana hal ini merupakan ancaman yang serius terhadap kelangsungan
Muhammad Jihad Baharuddin, Muhammad Amiruddin   +1 more
doaj   +1 more source

A Systematic Literature Review on Binary Neural Networks

IEEE Access, 2023
This paper presents an extensive literature review on Binary Neural Network (BNN). BNN utilizes binary weights and activation function parameters to substitute the full-precision values.
Ratshih Sayed, Haytham Azmi, Heba Shawkey, A. H. Khalil, Mohamed Refky   +4 more
doaj   +1 more source

Prisoner and Goods Control System Design Evidence Using MVC and UAT Models at the Provincial National Narcotics Agency

Jurnal Sisfokom, 2022
In Indonesia, there is a special agency tasked with dealing with the misuse of prohibited goods, namely the National Narcotics Agency, abbreviated as BNN. Apart from being at the center, BNN is also at the provincial level.
Okkita Rizan, Hamidah, Delpiah Wahyuningsih, Sarwindah   +3 more
doaj   +1 more source

Strategi dan kebijaksanaan P4GN dalam menciptakan penggiat anti Narkoba di lingkungan kerja

Riau Journal of Empowerment, 2022
Drug abuse in Indonesia has reached an alarming level. The largest proportion of drug abusers in 2017 was the group of private workers and laborers, which was 59%.
Ary Prasetyo
doaj   +1 more source