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Nabil Zerrouki
نبيل زروقي(automatic transliteration)
Affiliation : Centre de Développement des Technologies Avancées
- 36Publications (affiliation in Algeria)
- 40Total publications
- 901Citations
- 16h-index
Research profile
Nabil Zerrouki has 36 indexed publications (2013–2026). Their work appears mainly in “IEEE Sensors Journal”, “Diagnostics” and “International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)”. Their most cited article, “Vision-based fall detection system for improving safety of elderly people” (2017), has been cited 121 times. 11 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in Saudi Arabia.
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Create my free profile Add my publicationsResearch areas
- Context-Aware Activity Recognition Systems
- Balance, Gait, and Falls Prevention
- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Human Pose and Action Recognition
Publications (36)
- Beyond Accuracy: A Critical Review of Document Image Binarization Evaluation Practices
- AI-driven Braille character recognition using partitioned spatial modeling and sequential learning
- Secure and reversible fragile watermarking for accurate authentication and tamper localization in medical images
- Medical Image Authentication and Self-Recovery Using Fragile Watermarking in the Frequency Domain
- DotWise: A deep Learning-Powered Application for Efficient Black-To-Braille Text Conversion
- Enhanced Braille Character Recognition through Innovative Partitioning Technique
- Deep Learning for Hand Gesture Recognition in Virtual Museum Using Wearable Vision Sensors
- A reversible fragile watermarking technique using fourier transform and Fibonacci Q-matrix for medical image authentication
- Detecting the signs of desertification with Landsat imagery: A semi-supervised anomaly detection approach
- Image-driven machine learning for automatic characterization of grain size and distribution in smart vanadium dioxide thin films
- Enhanced Medical Image Authentication and Precise Tamper Localization Using Discrete Cosine Stockwell Transform
- Tumor Lung Visualization and Localization through Virtual Reality and Thermal Feedback Interface
- EEG-Based Mental Tasks Recognition via a Deep Learning-Driven Anomaly Detector
- A Survey on Recent Advances in Fall Detection Systems Using Machine Learning Formalisms
- Exploiting Deep Learning-Based LSTM Classification for Improving Hand Gesture Recognition to Enhance Visitors’ Museum Experiences
- Efficient scene analysis by a deep learning-long short-term memory approach based on polarimetric measurements
- Efficient land desertification detection using a deep learning‐driven generative adversarial network approach: A case study
- Automatic Human Fall Detection Using Multiple Tri-axial Accelerometers
- Desertification Detection Using an Improved Variational Autoencoder-Based Approach Through ETM-Landsat Satellite Data
- An Integrated Vision-Based Approach for Efficient Human Fall Detection in a Home Environment
- A Machine Learning-Based Approach for Land Cover Change Detection Using Remote Sensing and Radiometric Measurements
- Vision-Based Human Action Classification Using Adaptive Boosting Algorithm
- Statistical Monitoring of Changes to Land Cover
- Monitoring land-cover changes by combining a detection step with a classification step
- Vision-based fall detection system for improving safety of elderly people
- Combined curvelets and hidden Markov models for human fall detection
- Adaboost-based algorithm for human action recognition
- Fall detection using supervised machine learning algorithms: A comparative study
- Accelerometer and Camera-Based Strategy for Improved Human Fall Detection
- A simple strategy for fall events detection
- A Data-Driven Monitoring Technique for Enhanced Fall Events Detection
- Statistical control chart and neural network classification for improving human fall detection
- Determination of an optimal feature selection method based on maximum Shapley value
- Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification?
- Automatic Classification of Human Body Postures Based on Curvelet Transform
- Combining Pixel- and Object-Based Approaches for Multispectral Image Classification Using Dempster-Shafer Theory
Publication venues
- IEEE Sensors Journal × 3
- Diagnostics × 2
- International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) × 2
- IEEE International Conference on Industrial Informatics (INDIN) × 2
- International Conference on Modelling, Identification and Control × 2
- Research Square × 1
Publications per year
- 20262
- 20254
- 20245
- 20231
- 20224
- 20212
- 20201
- 20192
- 20183
- 20173
Collaborations
Partner institutions : University of Sciences and Technology Houari Boumediene · Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf · University of Algiers Benyoucef Benkhedda · Mouloud Mammeri University of Tizi-Ouzou · University of Blida
Co-authors’ countries : Saudi Arabia
Co-authors
- Amrane Houacine
- Riadh Bouarroudj
- Abdelkader Dairi
- ET-Tahir Zemouri
- Fatma Zohra Bellala
- Feryel Souami
- Djamel Bouchaffra
- Amina Zouina Ait-Djafer
- Lotfi Hocini
- Mohammed Yazid Cherifi
- Djamel Eddine Sayah
- Mostefa Masmoudi
Bibliographic data from OpenAlex (open database).
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