Abdelilah Jilbab

Orcid: 0000-0002-1577-9040

According to our database1, Abdelilah Jilbab authored at least 28 papers between 2010 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Advancing disease identification in fava bean crops: A novel deep learning solution integrating YOLO-NAS for precise rust.
J. Intell. Fuzzy Syst., February, 2024

2022
Using novel method: Real Cepstral Discrete Cosine Transform, for detecting Parkinson from multiple system atrophy, other neurological diseases and healthy cases using voice analysis.
Int. J. Speech Technol., 2022

Automatic SPECT Image Processing for Parkinson's Disease Early Detection.
Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

2021
Wireless medical sensor network for blood pressure monitoring based on machine learning for real-time data classification.
J. Ambient Intell. Humaniz. Comput., 2021

Smart home's wireless sensor networks lifetime optimizing using Q-learning.
Proceedings of the IECON 2021, 2021

2020
Wearable Wireless Sensors Network for ECG Telemonitoring Using Neural Network for Features Extraction.
Wirel. Pers. Commun., 2020

Heart Sound Signals Segmentation and Multiclass Classification.
Int. J. Online Biomed. Eng., 2020

RFID Medication Management System in Hospitals.
Int. J. Online Biomed. Eng., 2020

RSS-based Indoor Positioning Using Convolutional Neural Network.
Int. J. Online Biomed. Eng., 2020

Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection.
IET Wirel. Sens. Syst., 2020

2019
Voice signal processing for detecting possible early signs of Parkinson's disease in patients with rapid eye movement sleep behavior disorder.
Int. J. Speech Technol., 2019

Heart Sounds Classification for a Medical Diagnostic Assistance.
Int. J. Online Biomed. Eng., 2019

IoT-based knee rehabilitation system for inclusive smart city.
Proceedings of the 4th International Conference on Smart City Applications, 2019

2018
Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge.
Signal Image Video Process., 2018

Multiclass classification of Parkinson's disease using cepstral analysis.
Int. J. Speech Technol., 2018

Real time positioning over WSN and RFID network integration.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
Quantification system of Parkinson's disease.
Int. J. Speech Technol., 2017

Multiclass classification of Parkinson's disease using different classifiers and LLBFS feature selection algorithm.
Int. J. Speech Technol., 2017

Voice assessments for detecting patients with neurological diseases using PCA and NPCA.
Int. J. Speech Technol., 2017

Detecting multiple system atrophy, Parkinson and other neurological disorders using voice analysis.
Int. J. Speech Technol., 2017

A New Generation of Wireless Sensors Networks: Wireless Body Area Networks.
Proceedings of the Recent Advances in Information Systems and Technologies, 2017

2016
Voice assessments for detecting patients with Parkinson's diseases using PCA and NPCA.
Int. J. Speech Technol., 2016

Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson's disease and healthy people.
Int. J. Speech Technol., 2016

Phonocardiogram signals classification into normal heart sounds and heart murmur sounds.
Proceedings of the 11th International Conference on Intelligent Systems: Theories and Applications, 2016

Performance Analysis of Fountain Codes in Wireless Body Area Networks.
Proceedings of the SENSORNETS 2016, 2016

2013
Neural Network Adult Videos Recognition using Jointly Face Shape and Skin Feature Extraction.
Proceedings of the VISAPP 2013, 2013

2012
Edge Features and Geometrical Properties Based Approach for Vehicle License Plate Detection and Localization.
Int. J. Mob. Comput. Multim. Commun., 2012

2010
New Approach Based on Texture and Geometric Features for Text Detection.
Proceedings of the Image and Signal Processing, 4th International Conference, 2010


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