Home › Researcher directory › Cherif Adnane
Cherif Adnane
Affiliation : Tunis El Manar University
- 17Publications (affiliation in Tunisia)
- 22Total publications
- 86Citations
- 5h-index
Research profile
Cherif Adnane has 17 indexed publications (2010–2026). Their work appears mainly in “Smart innovation, systems and technologies”, “International Conference on Innovative and Intelligent Information Technologies (IC3IT)” and “Advances in computational intelligence and robotics book series”. Their most cited article, “Performance study and efficiency improvement of Hybrid Electric System dedicated to transport application” (2017), has been cited 22 times. 3 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsResearch areas
- Hybrid Renewable Energy Systems
- Electric and Hybrid Vehicle Technologies
- Speech and Audio Processing
- Speech Recognition and Synthesis
- Fuel Cells and Related Materials
Publications (17)
- Adaptive On-Device Arabic Speech Recognition for Smart Wheelchair Control Using a Self-Tuning Meta-Learning Agent
- AI-Based Multimodal Assistive Mobility System With an Arabic Voice Interface Using an Embedded NVIDIA Jetson Nano Platform
- Optimization of Temporal Convolutional Networks Using Harris Hawks Algorithm for Efficient Embedded Speech Recognition
- Effective Moving Object Detection Using Background Subtraction in Stationary Wavelet Domain
- A Multi-Agent System for Smart Energy Management Devoted to Vehicle Applications: Realistic Dynamic Hybrid Electric System Using Hydrogen as a Fuel
- A Robust Feature Extraction Method for Real-Time Speech Recognition System on a Raspberry Pi 3 Board
- Performance Evaluation of an Appraisal Autonomous System with Hydrogen Energy Storage Devoted for Tunisian Remote Housing
- A Predictive Real-Time Energy Management Control for a Hybrid PEMFC Electric System Using Battery/Ultracapacitor
- Improve the Tracking of the Target in Radar System Using the Particular Filter
- Performance study and efficiency improvement of Hybrid Electric System dedicated to transport application
- Study of dynamic performance of an Hybrid Electric System combining FC/Battery/SC
- Prioritizing Power demand response for Hydrogen PEMFC-Electric Vehicles using Hybrid Energy Storage
- Higher Order Sliding Mode Control for PMSG in wind power conversion system
- Efficient "MultiKG" Routing Protocol Based on Multi-Hop Transmission
- Design and dynamic modeling of a fuel cell/ultra capacitor hybrid power system
- A supervisory command and simulation of a PEMFC/UCap hybrid electrical system
- Recurrent Neural Network and Bionic Wavelet Transform for speech enhancement
Publication venues
- Smart innovation, systems and technologies × 3
- International Conference on Innovative and Intelligent Information Technologies (IC3IT) × 1
- Advances in computational intelligence and robotics book series × 1
- IEEE International Conference on Signal, Control and Communication (SCC) × 1
- Advances in information security, privacy, and ethics book series × 1
- Energies × 1
Publications per year
- 20262
- 20251
- 20231
- 20195
- 20173
- 20162
- 20132
- 20101
Collaborations
Partner institutions : Tunis University · University of Carthage · Université Tunis Carthage
Co-authors
- Sihem Nasri
- Aymen Mnassri
- Mansouri Nouha
- Sami Ben Slama
- Lotfi Salhi
- Mourad Talbi
- Nouha Mansouri
- Ridha Bouallague
- Rabiaa Elkamel
- Jawadi Samir
- Noura Baccar
- M. Bennasr
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.