Farzan Majeed Noori

According to our database, Farzan Majeed Noori authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multimodal Deep Learning Approaches for Human Activity Recognition.

Farzan Majeed Noori

PhD thesis, 2023

Source Linking Framework in Vehicular Networks for Security of Electric Vehicles using Machine Learning.

Farzan Majeed Noori, Azeem Hafeez, Hafiz Malik, Md. Zia Uddin, Jim Torresen

Proceedings of the IEEE Vehicular Networking Conference, 2023

2022

Semantic Temporal Object Search System Based on Heat Maps.

Mathias Mantelli, Farzan Majeed Noori, Diego Pittol, Renan Maffei, Jim Torresen, Mariana Kolberg

J. Intell. Robotic Syst., 2022

Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning.

David Andreas Bordvik, Jie Hou, Farzan Majeed Noori, Md. Zia Uddin, Jim Torresen

Proceedings of the International Conference on Electronics, Information, and Communication, 2022

2021

Classification of Individual Finger Movements from Right Hand Using fNIRS Signals.

Haroon Khan, Farzan Majeed Noori, Anis Yazidi, Md. Zia Uddin, Malik Nasir Afzal Khan, Peyman Mirtaheri

Sensors, 2021

Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning.

Farzan Majeed Noori, Md. Zia Uddin, Jim Tørresen

IEEE Access, 2021

2020

Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs.

Farzan Majeed Noori, Michael Riegler, Md. Zia Uddin, Jim Tørresen

ACM Trans. Multim. Comput. Commun. Appl., 2020

Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros.

Henrik Svoren, Vajira Thambawita, Pål Halvorsen, Petter Jakobsen, Enrique Garcia-Ceja, Farzan Majeed Noori, Hugo Lewi Hammer, Mathias Lux, Michael Alexander Riegler, Steven Alexander Hicks

Proceedings of the 11th ACM Multimedia Systems Conference, 2020

2019

A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network.

Farzan Majeed Noori, Benedikte Wallace, Md. Zia Uddin, Jim Tørresen

Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression.

Joakim Ihle Frogner, Farzan Majeed Noori, Pål Halvorsen, Steven Alexander Hicks, Enrique Garcia-Ceja, Jim Tørresen, Michael Alexander Riegler

Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care, 2019

Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs.

Farzan Majeed Noori, Enrique Garcia-Ceja, Md. Zia Uddin, Michael Riegler, Jim Tørresen

Proceedings of the International Joint Conference on Neural Networks, 2019

Robot-Care for the Older People: Ethically Justified or Not?

Farzan Majeed Noori, Md. Zia Uddin, Jim Tørresen

Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety.

Farzan Majeed Noori, Smiti Kahlon, Philip Lindner, Tine Nordgreen, Jim Tørresen, Michael Riegler

Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2017

Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain-Computer Interface Using Adaptive Estimation of General Linear Model Coefficients.

Nauman Khalid Qureshi, Noman Naseer, Farzan Majeed Noori, Hammad Nazeer, Rayyan Azam Khan, Sajid Saleem

Frontiers Neurorobotics, 2017

On 3D simulators for multi-robot systems in ROS: MORSE or Gazebo?

Farzan Majeed Noori, David Portugal, Rui P. Rocha, Micael S. Couceiro

Proceedings of the IEEE International Symposium on Safety, Security and Rescue Robotics, 2017

2016

Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface.

Noman Naseer, Nauman Khalid Qureshi, Farzan Majeed Noori, Keum-Shik Hong

Comput. Intell. Neurosci., 2016