Comparison of the decision tree, artificial neural network and multiple regression methods for prediction of carcass tissues composition of goat kids

B Ekiz, O Baygul, H Yalcintan, M Ozcan - Meat science, 2020 - Elsevier
The aim of this study was to predict carcass tissue composition of goat kids using the
decision tree with CHAID algorithm (DT) and artificial neural network (ANN) method in …

EEG-based intelligent system for cognitive behavior classification

MM Anoor, AH Jahidin, H Arof… - Journal of Intelligent & …, 2020 - content.iospress.com
Intelligence and learning styles are among most widely studied traits in cognitive
psychology. Currently, both aspects of cognition can only be assessed using paper-based …

Visible and near-infrared multispectral features in conjunction with artificial neural network and partial least squares for predicting biochemical and micro-structural …

A Aït-Kaddour, D Andueza, A Dubost, JM Roger… - Foods, 2020 - mdpi.com
The objective of this study was to determine the potential of multispectral imaging (MSI) data
recorded in the visible and near infrared electromagnetic regions to predict the structural …

Novel Spread Spectrum Communication Theory and the Anti-jamming Applications

W Huang, S Zhang, RH Yan - 2021 6th International …, 2021 - ieeexplore.ieee.org
In modern engineering practice, a random sequence is widely used in information security,
cryptography, automatic control, digital communication, radar, acoustic and optical …

A robust auto‐adaptive approach for serial acquisition of generalized multi‐carrier spread spectrum in multipath fading mobile channels

A Jouini, A Maali, M Benssalah… - International Journal …, 2021 - Wiley Online Library
In this paper, a new robust auto‐adaptive approach for pseudo‐noise (PN) code acquisition
is proposed. It is applied to the generalized multi‐carrier direct‐sequence code‐division …

New Structure of CCR with an AOANN Threshold

A Rabehi, A Djebbari, A Hafaifa, A Souahlia… - Journal of Optical …, 2021 - degruyter.com
In this paper, artificial neural network-based adaptive optimal threshold estimation for a two-
dimensional optical code division multiple access conventional correlation receiver is …

Vis-nir Multispectral Features In Conjunction With Ann For Predicting Biochemical And Micros-structural Features Of Beef Muscles

AK Ait-Kaddour, A Dubost, JM Roger - International Journal of Innovations in … - neliti.com
The objective of this study was to determine the possibility of Multispectral Imaging (MSI)
recorded in the VIS and NIR electromagnetic regions to predict both composition (in some …

Threshold Optimization in Distributed TM-CFAR Adaptive Acquisition Serial Search System Using Particles Swarm Optimization Technique

S Benkrinah, M Benslama, I Mahmoudi, K Mosbah - dspace.univ-ouargla.dz
This work investigates the detection threshold optimization of the distributed trimmed-mean
constant false alarm rate (TM-CFAR) algorithm. The algorithm TM-CFAR is chosen to solve …

A Fast Spreading Code Compression Search Method for DS_CDMA System

Z Liang, J Yang, H Liu, L Long - Fuzzy Systems and Data Mining …, 2018 - ebooks.iospress.nl
In the highly dynamic environment, it is computationally-intensive and time-consuming for
non-cooperative receivers to quickly search out the user's spreading codes and acquire …

[引用][C] A New Method Detecting Abrupt Change Base on Moving Cut Data-Permutation Entropy

L Wenxiang, W Li, L Simin - Am. J. Appl. Math, 2018