Results 81 to 90 of about 2,130 (190)

Innate Orientating Behavior of a Multi-Legged Robot Driven by the Neural Circuits of C. elegans

Biomimetics
The objective of this research is to achieve biologically autonomous control by utilizing a whole-brain network model, drawing inspiration from biological neural networks to enhance the development of bionic intelligence.
Kangxin Hu, Yu Zhang, Fei Ding, Dun Yang, Yang Yu, Ying Yu, Qingyun Wang, Hexi Baoyin   +7 more
doaj   +1 more source

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

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   +1 more source

KEABSAHAN PENYIDIKAN BADAN NARKOTIKA NASIONAL (BNN)

Jurnal Magister Hukum Udayana (Udayana Master Law Journal), 2016
Penelitian ini merupakan penelitian Hukum Normatif  yang beranjak dari adanya kekosongan norma atau asas hukum. Kekosongan norma hukum dalam penelitian ini terdapat dalam ketentuan Pasal 6 dan lampiran golongan I, II, dan III Undang-Undang Nomor 35 Tahun 2009 tentang Narkotika.
openaire   +3 more sources

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

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   +1 more source

High-Performance and Energy-Efficient Computing-In-CAM Design for Binary Neural Network Acceleration

IEEE Access
The importance of convolutional neural networks (CNNs) is increasing in various domains, including image processing and natural language processing. While powerful processors enable efficient training and validation, achieving high-throughput inference ...
Sureum Choi, Fatia Uftiani Putri, Juheon Lee, Chanyeong Choi, Hasna Nur Karimah, Yeongkyo Seo   +5 more
doaj   +1 more source

Hydrophobic Cholesteryl Moieties Trigger Substrate Cell–Membrane Interaction of Elastin–Mimetic Protein Coatings in Vitro

ACS Omega, 2019
Leander Poocza, Filippo Cipriani, Matilde Alonso, José Carlos Rodríguez-Cabello   +3 more
doaj   +1 more source

Predicting Hydrogen Production from Steam Methane Reforming Powered by Induction Heating: An Application of a Hybrid Bayesian Neural Network

Hydrogen
Steam methane reforming (SMR) powered by induction heating offers a promising route for low CO2-emission hydrogen production, but predictive modelling remains challenging because the available experimental data are limited and heterogeneous.
Edward Uchechukwu Iwuchukwu, Frank Norbert Wiggers, Claudio Augusto Oller do Nascimento   +2 more
doaj   +1 more source

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   +1 more source

NAS-BNN: Neural Architecture Search for Binary Neural Networks

Pattern Recognition
23 ...
Zhihao Lin, Yongtao Wang, Jinhe Zhang, Xiaojie Chu, Haibin Ling   +4 more
openaire   +2 more sources

Evaluating the Impact of Racetrack Memory Misalignment Faults on BNNs Performance

Racetrack memory (RTM) is a promising non-volatile memory (NVM) technology that offers exceptional density, power and performance benefits over other NVM and conventional memory technologies. RTM cells have the unique capability of storing hundreds of data bits per cell and are equipped with one or more access ports.
Leonard David Bereholschi, Mikail Yayla, Jian-Jia Chen, Kuan-Hsun Chen, Asif Ali Khan   +4 more
openaire   +2 more sources