Muzzle Classification Using Neural Networks

Ibrahim El-Henawy, Hazem El-bakry, and Hagar El-Hadad

#Muzzle classification #image processing #neural networks

RoboGuard: Enhancing Robotic System Security with Ensemble Learning

Ali Al Maqousi,Mohammad Alauthman

#Robotic systems #cybersecurity #malware detection #machine learning #ensemble learning #synthetic minority over-sampling technique

Marko Grebovic,Luka Filipovic,Ivana Katnic,Milica Vukotic,Tomo Popovic

#Machine learning #artificial neural networks #statistical models #accuracy measures

Madeira Interactive Technologies Institute and Comp etence Centre for Exact Sciences and Engineering,

# Artificial neural networks # feedforward neural netw orks # system generator # matlab # xilinx # simulink # integrated software environment

Abstract: In this article, we pre sent a bimodal speaker identification method, which integrates both acoustic and visual

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as artificial neural networks are considered to be better for prediction of data with non-linear patterns. In the real-life, time-

#Hybrid model # adaptive neuro-fuzzy inference systems # soft computing # neural network # statistical techniques

Abstract: Artificial Neural Networks (ANN) were used in the recognition of the printed Arabic text with a high rate

#ANN # GA # Feature vector # character recognition # arabic hand-written text # Hidden Markov Model (HMM)

#Artificial neural networks # multi-layer perceptron # nonlinear models # pasteurization plant

#Artificial neural networks # multi-layer perceptron # nonlinear models # pasteurization plant

Halima Bahi,Mokhtar Sellami

#Artificial intelligence #speech recognition #hybrid system #neuro-symbolic integration #expert system #neural networks

Rafik Djemili,Mouldi Bedda,Hocine Bourouba

#Speech recognition #hidden Markov models #artificial neural networks #hybrid HMM/MLP

Ramzi Haraty,Catherine Ghaddar

#Arabic text classification #artificial neural networks