Results 21 to 30 of about 6,914 (235)

PRAKTIK KEGIATAN HUMAS BNN DALAM PEMANFAATAN MEDIA SOSIAL [PDF]

open access: yes, 2021
The purpose of this research is to describe the social media function of BNN public relations and to describe the management of social media of BNN public relations. Data analysis was performed with interactive models from Miles and Huberman. The results
Soetantri, Indah
core   +2 more sources

Predicting Model for Fragment Production in Nuclear Spallation and Projectile Fragmentation Reactions by Bayesian Neural Network

open access: yesYuanzineng kexue jishu, 2023
Fragment productions in spallation reactions and projectile fragmentation reactions are important topics in nuclear reaction both theoretically and experimentally, which find important applications in fundamental nuclear physics, radioactive ion beam ...
WEI Huiling;PENG Dan;WEI Xiaobao;MA Chunwang
doaj   +1 more source

What Is It like to Be a Brain Organoid? Phenomenal Consciousness in a Biological Neural Network

open access: yesEntropy, 2023
It has been shown that three-dimensional self-assembled multicellular structures derived from human pluripotent stem cells show electrical activity similar to EEG. More recently, neurons were successfully embedded in digital game worlds. The biologically
Ivanna Montoya, Daniel Montoya
doaj   +1 more source

How to Train Accurate BNNs for Embedded Systems?

open access: yes, 2023
A key enabler of deploying convolutional neural networks on resource-constrained embedded systems is the binary neural network (BNN). BNNs save on memory and simplify computation by binarizing both features and weights. Unfortunately, binarization is inevitably accompanied by a severe decrease in accuracy.
de Putter, Floran, Corporaal, Henk
openaire   +2 more sources

A Bayesian Neural Network-Based Method to Calibrate Microscopic Traffic Simulators

open access: yesJournal of Advanced Transportation, 2021
Calibrating the microsimulation model is essential to enhance its ability to capture reality. The paper proposes a Bayesian neural network (BNN)-based method to calibrate parameters of microscopic traffic simulators, which reduces repeated running of ...
Qinqin Chen   +5 more
doaj   +1 more source

Xilinx/brevitas: BNN-PYNQ topologies [PDF]

open access: yes, 2020
CNV, LFC, SFC, TFC topologies, originally designed for BNN-PYNQ, trained with Brevitas. Thanks to @maltanar and @ussamazahid96
Giuseppe5   +2 more
core   +1 more source

Strategi Badan Narkotika Nasional (BNN) Kota Bengkulu Dalam Mengkampanyekan Informasi P4GN Kepada Masyarakat Kota Bengkulu

open access: yesCommunicator Sphere, 2023
Penelitian ini bertujuan untuk mengetahui bagaimana strategi serta peluang dan tantangan Badan Narkotika Nasional Kota Bengkulu dalam mengkampanyekan informasi P4GN kepada masyarakat Kota Bengkulu.
Agus Yuliandrie, Yuliati Yuliati
doaj   +1 more source

The Role of Badan National Narcotics (BNN) in Conducting Law Enforcement and Drug Users

open access: yesJurnal Hukum Volkgeist, 2021
Law No. 35 of 2009 on Narcotics in which it is regulated as well as legal sanctions, as well as things that are allowed. The purpose of this study is to understand and understand the implementation of the Role of the National Narcotics Agency (BNN ...
Yudin Yunus, Siti Alfisyahrin Lasori
doaj   +1 more source

Productive Performance, Egg Characteristics and Hatching Traits of Three Chicken Genotypes under Free-Range, Semi-Intensive, and Intensive Housing Systems [PDF]

open access: yesBrazilian Journal of Poultry Science, 2019
The present study aimed at evaluating the effect of housing system on the live performance, egg quality, and hatching traits of three dual-purpose chicken genotypes. In total, 180 birds, comprising 48 pullets and 12 cockerels from each of three genotypes,
S Ahmad, A Mahmud, J Hussain, K Javed
doaj   +1 more source

MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency [PDF]

open access: yes2019 International Conference on Field-Programmable Technology (ICFPT), 2019
Binarized neural networks (BNNs) have shown exciting potential for utilising neural networks in embedded implementations where area, energy and latency constraints are paramount. With BNNs, multiply-accumulate (MAC) operations can be simplified to XnorPopcount operations, leading to massive reductions in both memory and computation resources ...
Seyedramin Rasoulinezhad   +5 more
openaire   +2 more sources

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