A. Jilbab

发表

Hybridization of best acoustic cues for detecting persons with Parkinson's disease

A. Benba, A. Jilbab, A. Hammouch, 2014, 2014 Second World Conference on Complex Systems (WCCS).

Voiceprints analysis using MFCC and SVM for detecting patients with Parkinson's disease

A. Benba, A. Jilbab, A. Hammouch, 2015, 2015 International Conference on Electrical and Information Technologies (ICEIT).

Detecting Patients with Parkinson ’ s disease using Mel Frequency Cepstral Coefficients and Support Vector Machines

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2015 .

UPDRS tracking using linear regression and neural network for Parkinson ’ s disease prediction

A. Jilbab, Elmehdi Benmalek, Jamal Elmhamdi, 2016 .

Detecting multiple system atrophy, Parkinson and other neurological disorders using voice analysis

A. Benba, A. Jilbab, A. Hammouch, 2017, International Journal of Speech Technology.

Voice assessments for detecting patients with Parkinson’s diseases using PCA and NPCA

A. Benba, A. Jilbab, A. Hammouch, 2016, International Journal of Speech Technology.

Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson’s disease and healthy people

A. Benba, A. Jilbab, A. Hammouch, 2016, International Journal of Speech Technology.

Voice assessments for detecting patients with neurological diseases using PCA and NPCA

A. Benba, A. Jilbab, A. Hammouch, 2017, International Journal of Speech Technology.

Voice assessments for detecting patients with neurological diseases using PCA and NPCA

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2017, Int. J. Speech Technol..

Voice assessments for detecting patients with Parkinson’s diseases using PCA and NPCA

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2016, Int. J. Speech Technol..

Voice analysis for detecting patients with Parkinson's disease using the hybridization of the best acoustic features

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2016 .

RFID System for Hospital Monitoring and Medication Tracking Using Digital Signature

Abdelilah Jilbab, Soufiane Kaissari, Jamal El Mhamdi, 2021, Digital Technologies and Applications.

Impact of the Choice of Cross-Validation Techniques on the Results of Machine Learning-Based Diagnostic Applications

A. Jilbab, J. Mhamdi, Ilias Tougui, 2021, Healthcare informatics research.

Using Human Factor Cepstral Coefficient on Multiple Types of Voice Recordings for Detecting Patients with Parkinson's Disease

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2017 .

Multiclass classification of Parkinson’s disease using different classifiers and LLBFS feature selection algorithm

A. Jilbab, Elmehdi Benmalek, Jamal Elmhamdi, 2017, Int. J. Speech Technol..

Wireless medical sensor network for blood pressure monitoring based on machine learning for real-time data classification

Abdelilah Jilbab, Abdennaser Bourouhou, Amina El Attaoui, 2020, Journal of Ambient Intelligence and Humanized Computing.

Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge

Ahmed Hammouch, Abdelilah Jilbab, Chafik Nacir, 2018, Signal Image Video Process..

Heart disease classification using data mining tools and machine learning techniques

Abdelilah Jilbab, Ilias Tougui, Jamal El Mhamdi, 2020 .

Comparing CT scan and chest X-ray imaging for COVID-19 diagnosis

A. Jilbab, Elmehdi Benmalek, Jamal Elmhamdi, 2021, Biomedical Engineering Advances.

A convenient approach for knee kinematics assessment using wearable inertial sensors during home-based rehabilitation: Validation with an optoelectronic system

Mohamed El Fezazi, A. Jilbab, A. Jbari, 2023, Scientific African.

Conceptual Architecture of AI-Enabled IoT System for Knee Rehabilitation Exercises Telemonitoring

Abdelilah Jilbab, Atman Jbari, Mohamed El Fezazi, 2020 .

Phonocardiogram signals processing approach for PASCAL Classifying Heart Sounds Challenge

A. Jilbab, A. Hammouch, C. Nacir, 2018, Signal, Image and Video Processing.

Hybridized Model for Early Detection and Smart Monitoring of Forest Fire

Abdelilah Jilbab, Abdennaser Bourouhou, Mohammed Anas El Abbassi, 2017 .

Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson’s disease and healthy people

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2016, International Journal of Speech Technology.

Efficient Forest Fire Detection System Based on Data Fusion Applied in Wireless Sensor Networks

Abdelilah Jilbab, Abdennaser Bourouhou, Mohammed Anas El abbassi, 2020 .

Intelligent Approach of Event Detection with Efficient Energy Consumption in Wireless Sensor Networks

Abdelilah Jilbab, Abdennasser Bourouhou, M. A. El Abbassi, 2018 .

Detection model based on multi-sensor data for early fire prevention

Abdelilah Jilbab, Mohammed Anas El Abbassi, Abdennaser Bourouhou, 2016, 2016 International Conference on Electrical and Information Technologies (ICEIT).

Heart disease classification using data mining tools and machine learning techniques

A. Jilbab, J. El mhamdi, Ilias Tougui, 2020, Health and Technology.

A cough-based Covid-19 detection with gammatone and mel-frequency cepstral coefficients

A. Jilbab, A. Jbari, Elmehdi Benmalek, 2023, Diagnostyka.

Artificial Intelligence-based Detection of Fava Bean Rust Disease in Agricultural Settings: An Innovative Approach

A. Jilbab, J. Mhamdi, Hicham Slimani, 2023, International Journal of Advanced Computer Science and Applications.

Using RASTA-PLP for discriminating between different Neurological diseases

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2016, 2016 International Conference on Electrical and Information Technologies (ICEIT).

Discriminating Between Patients With Parkinson’s and Neurological Diseases Using Cepstral Analysis

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2021, Int. J. Speech Technol..

Analysis of Smartphone Recordings in Time, Frequency, and Cepstral Domains to Classify Parkinson’s Disease

Abdelilah Jilbab, Ilias Tougui, Jamal El Mhamdi, 2020, Healthcare informatics research.

RSS-based Indoor Positioning Using Convolutional Neural Network

Safae El Abkari, Abdelilah Jilbab, Jamal El Mhamdi, 2020, Int. J. Online Biomed. Eng..

Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection

Abdelilah Jilbab, Abdennaser Bourouhou, Achraf Benba, 2020, IET Wirel. Sens. Syst..

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

A. Benba, A. Jilbab, A. Hammouch, 2021, International Journal of Speech Technology.

Detecting multiple system atrophy, Parkinson and other neurological disorders using voice analysis

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2017, Int. J. Speech Technol..

ECG scalogram classification with CNN micro-architectures

A. Jilbab, Elmehdi Benmalek, Jamal Elmhamdi, 2021, Research on Biomedical Engineering.

Voice signal processing for detecting possible early signs of Parkinson’s disease in patients with rapid eye movement sleep behavior disorder

Ahmed Hammouch, Abdelilah Jilbab, Achraf Benba, 2019, Int. J. Speech Technol..

VOICE ANALYSIS FOR DETECTING PERSONS WITH PARKINSON’S DISEASE USING PLP AND VQ

A. Hammouch, A. Jilbab, A. Benba, 2014 .

Voiceprint analysis using Perceptual Linear Prediction and Support Vector Machines for detecting persons with Parkinson ’ s disease

A. Benba, A. Jilbab, A. Hammouch, 2014 .

Performance comparison of communication protocol algorithms in WSN based agriculture: PlanTech case study

Safae El Abkari, Abdelilah Jilbab, Abdennaser Bourouhou, 2021, E3S Web of Conferences.

Alzheimer’s disease classification: a comprehensive study

A. Benba, A. Jilbab, Ayoub Assmi, 2024, Multimedia Tools and Applications.

Multiclass classification of Parkinson’s disease using different classifiers and LLBFS feature selection algorithm

Abdelilah Jilbab, Jamal Elmhamdi, Elmehdi Benmalek, 2017, International Journal of Speech Technology.

Wearable Wireless Sensors Node For Heart Activity Telemonitoring

Amina El Attaoui, Amina EL ATTAOUI, Soufiane KAISSARI, 2020, 2020 International Conference on Electrical and Information Technologies (ICEIT).

Drone-Assisted Plant Disease Identification Using Artificial Intelligence: A Critical Review

A. Jilbab, Hicham Slimani, J. El Mhamdi, 2023, International Journal of Computing and Digital Systems.

VOICE ANALYSIS FOR DETECTING PERSONS WITH PARKINSON’S DISEASE USING PLP AND VQ

A. Benba, A. Jilbab, A. Hammouch, 2014 .

Classification of Cardiovascular disease using dysphonia measurement in speech

A. Jilbab, A. Hammouch, C. Nacir, 2021, Diagnostyka.

Machine Learning Smart System for Parkinson Disease Classification Using the Voice as a Biomarker

A. Jilbab, J. Mhamdi, Ilias Tougui, 2022, Healthcare informatics research.

Wearable Wireless Sensors Network for ECG Telemonitoring Using Neural Network for Features Extraction

Abdelilah Jilbab, Abdennasser Bourouhou, Amina El Attaoui, 2019, Wireless Personal Communications.

Innovative Methodologies for Leak Detection Using Hydrophone Data and Machine Learning Techniques

A. Jilbab, J. Mhamdi, Mohammed Essouabni, 2024, 2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC).

Assessing the advancement of artificial intelligence and drones’ integration in agriculture through a bibliometric study

A. Jilbab, Hicham Slimani, J. El Mhamdi, 2024, International Journal of Electrical and Computer Engineering (IJECE).