M
Momoh Jimoh Emiyoka Salami
Researcher at Elizade University
Publications - 127
Citations - 1127
Momoh Jimoh Emiyoka Salami is an academic researcher from Elizade University. The author has contributed to research in topics: Artificial neural network & Autoregressive model. The author has an hindex of 18, co-authored 124 publications receiving 1051 citations. Previous affiliations of Momoh Jimoh Emiyoka Salami include University of Kuala Lumpur & University of Calgary.
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Proceedings ArticleDOI
A LabVIEW based data acquisition system for vibration monitoring and analysis
TL;DR: This paper describes LabVIEW based data acquisition and analysis developed specifically for vibration monitoring and used with vibration fault simulation systems (VFSS) and provides a user-friendly data acquisition interface.
Journal ArticleDOI
Vascular intersection detection in retina fundus images using a new hybrid approach.
Abiodun Musa Aibinu,Muhammad Imran Iqbal,Amir Akramin Shafie,Momoh Jimoh Emiyoka Salami,Mikael Nilsson +4 more
TL;DR: The proposed combined cross-point number (CCN) method has a very high precision, accuracy, sensitivity and low false rate in detecting both bifurcation and crossover points in FIs compared with both the MCN and the SCN methods.
Journal ArticleDOI
Design and implementation of an optimal fuzzy logic controller using genetic algorithm
Sheroz Khan,Salami Femi Abdulazeez,Lawal Wahab Adetunji,Ahm Zahirul Alam,Momoh Jimoh Emiyoka Salami,Shihab A. Hameed,Aisha Hasan Abdalla,Mohd Rafiqul Islam +7 more
TL;DR: A software approach focusing on an algorithmic approach for programming a PIC16F877A microcontroller for eliminating altogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system to changing operational conditions showed a considerable improvement in rising and settling time.
Journal ArticleDOI
Hidden Markov model for human to computer interaction: a study on human hand gesture recognition
Sara Mohammed Osman Saleh Bilal,Rini Akmeliawati,Amir Akramin Shafie,Momoh Jimoh Emiyoka Salami +3 more
TL;DR: A survey on approaches which are based on Hidden Markov Models (HMM) for hand posture and gesture recognition for HCI applications is provided.
Proceedings ArticleDOI
EEG signal classification for real-time brain-computer interface applications: A review
TL;DR: The current state of research is reviewed and the performance of different algorithms for real-time classification of BCI-based electroencephalogram signals is compared.