Raja Majid Mehmood

Orcid: 0000-0002-2284-0479

According to our database1, Raja Majid Mehmood authored at least 30 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improving the Classification Performance of Asphalt Cracks After Earthquake With a New Feature Selection Algorithm.
IEEE Access, 2024

2023
An AI-empowered affect recognition model for healthcare and emotional well-being using physiological signals.
Clust. Comput., April, 2023

AI-based Bayesian inference scheme to recognize electroencephalogram signals for smart healthcare.
Clust. Comput., April, 2023

OntoSuSD: Software engineering approaches integration ontology for sustainable software development.
Softw. Pract. Exp., 2023

2022
DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point Clouds.
Sensors, 2022

AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification.
Multim. Syst., 2022

Development of Innovative Operational Flexibility Measurement Model for Smart Systems in Industry 4.0 Paradigm.
IEEE Access, 2022

Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings.
IEEE Access, 2022

2021
Mobility Aware Blockchain Enabled Offloading and Scheduling in Vehicular Fog Cloud Computing.
IEEE Trans. Intell. Transp. Syst., 2021

Children Emotion Regulation: Development of Neural Marker by Investigating Human Brain Signals.
IEEE Trans. Instrum. Meas., 2021

Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation.
Softw. Pract. Exp., 2021

INSWF DNA signal analysis tool: Intelligent noise suppression window filter.
Softw. Pract. Exp., 2021

A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal.
Sensors, 2021

An Efficient Internet Traffic Classification System Using Deep Learning for IoT.
CoRR, 2021

Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification.
IEEE Access, 2021

2020
Parameter Estimation Using Unscented Kalman Filter on the Gray-Box Model for Dynamic EEG System Modeling.
IEEE Trans. Instrum. Meas., 2020

A Low-Cost Information Monitoring System for Smart Farming Applications.
Sensors, 2020

An Innovative Multi-Model Neural Network Approach for Feature Selection in Emotion Recognition Using Deep Feature Clustering.
Sensors, 2020

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation.
Remote. Sens., 2020

Aiding Prosumers by Solar Cell Parameter Optimization Using a Hybrid Technique for Achieving Near Realistic P-V Characteristics.
IEEE Access, 2020

Test Suit Generation for Object Oriented Programs: A Hybrid Firefly and Differential Evolution Approach.
IEEE Access, 2020

2019
A critical review on security approaches to software-defined wireless sensor networking.
Int. J. Distributed Sens. Networks, 2019

2017
Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies.
Sensors, 2017

Optimal Feature Selection and Deep Learning Ensembles Method for Emotion Recognition From Human Brain EEG Sensors.
IEEE Access, 2017

2016
A novel feature extraction method based on late positive potential for emotion recognition in human brain signal patterns.
Comput. Electr. Eng., 2016

Emotion recognition from EEG brain signals based on particle swarm optimization and genetic search.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Toward an analysis of emotion regulation in children using late positive potential.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Exploration of Prominent Frequency Wave in EEG Signals from Brain Sensors Network.
Int. J. Distributed Sens. Networks, 2015

Emotion classification of EEG brain signal using SVM and KNN.
Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015

Deep learninig of EEG signals for emotion recognition.
Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015


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