Anis HAMZA (0000-0003-4283-5236)

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Dr. Anis Hamza
Doctor of Mechanical EngineeringDr. Researcher
Dr. Assistant # ORCiD: 0000-0003-4283-5236, Web of Science ID: N-6818-2013, Scopus: 55874447300, SciProfile: 1875975 #
Institution and department
Mechanical, Production and Energy Laboratory (LMPE),
National School of Engineering of Tunis (ENSIT),
University of Tunis,
Avenue Taha Hussein, Montfleury, 1008 Tunis, Tunisia.
*Correspondence: anis7amza@gmail.com
Skills
Wave Propagation · Vibration Analysis · Finite Element Analysis + 26 others

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Revolutionizing Automotive Design: The Impact of Additive Manufacturing

Vehicles

2025-03-03 | Journal article

DOI: 10.3390/vehicles7010024

Contributors: Anis Hamza; Kamel Bousnina; Issam Dridi; Noureddine Ben Yahia

Anis HAMZA

https://orcid.org/0000-0003-4283-5236

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Works (50 of 53)

Revolutionizing Automotive Design: The Impact of Additive Manufacturing

Design of Active Suspension for All-Terrain Vehicle (ATV) with Intelligent Control Using Artificial Neural Networks (ANN)

Design of an intelligent simulator ANN and ANFIS model in the prediction of milling performance (QCE) of alloy 2017A

Exploring Human-Cyber-Physical Systems in Additive Manufacturing: Insights into Human-Machine Collaboration

Integration of ANN and ANFIS Models to Predict Quality, Cost and Energy During Machining Alloy 2017A

Intelligent Diagnostic Study Using Machine Learning of Mechanical Faults in Rotating Machinery

Modeling surface quality, cost and energy consumption during milling of alloy 2017A: a comparative study integrating GA-ANN and RSM models

Optimizing full vehicle active suspension model with advanced reinforcement learning controller

Active suspension for all-terrain vehicle with intelligent control using artificial neural networks

A combination of PSO-ANN hybrid algorithm and genetic algorithm to optimize technological parameters during milling 2017A alloy

Suspension of Heavy Trucks with Intelligent Control Using Artificial Neural Networks Particle Swarm Optimization (ANN-PSO)

A combination of the particle swarm optimization-artificial neurons network algorithm and response surface method to optimize energy consumption and cost during milling of the 2017A alloy

A combination of the particle swarm optimization-artificial neurons network algorithm and response surface method to optimize energy consumption and cost during milling of the 2017A alloy

Effect of vibration and welding parameters on spot weld resistance: modeling integrating PSO-ANN and GA algorithm

Prediction of QCE using ANN and ANFIS for milling Alloy 2017A

An integration of PSO-ANN and ANFIS hybrid models to predict surface Quality, Cost, and Energy (QCE) during milling of alloy 2017A

An integration of PSO-ANN and ANFIS hybrid models to predict surface quality, cost, and energy (QCE) during milling of alloy 2017A

An integration of PSO-ANN and ANFIS hybrid models to predict surface quality, cost, and energy (QCE) during milling of alloy 2017A

Prediction of QCE using ANN and ANFIS for milling Alloy 2017A

Prediction of QCE using ANN and ANFIS for milling Alloy 2017A

An energy survey to optimize the technological parameters during the milling of AISI 304L steel using the RSM, ANN and genetic algorithm

Potential to produce brown mussel integrated to a net-cage fish farm in a Mediterranean bay

Potential to produce brown mussel integrated to a net-cage fish farm in a Mediterranean bay

A new approach to controlling an active suspension system based on reinforcement learning

A new approach to controlling an active suspension system based on reinforcement learning

A new approach to controlling an active suspension system based on reinforcement learning

Control of an active suspension system based on long short-term memory (LSTM) learning

Control of an active suspension system based on long short-term memory (LSTM) learning

Control of an active suspension system based on long short-term memory (LSTM) learning

Deep Learning Based Intelligent Active Suspension Control for Heavy Trucks (DMPSO)

Energy Optimization for Milling 304L Steel using Artificial Intelligence Methods

An approach to the influence of the machining process on power consumption and surface quality during the milling of 304L austenitic stainless steel

Artificial neural networks controller of active suspension for ambulance based on ISO standards

Reducing the energy consumed and increasing energy efficiency in the turning process

Heavy trucks with intelligent control of active suspension based on artificial neural networks

Intelligent Neural Network Control for Active Heavy Truck Suspension

Variability patterns of epibenthic microalgae in eastern Tunisian coasts

Variability patterns of epibenthic microalgae in eastern Tunisian coasts

Propagation of strain waves in cylindrical helical springs

Resonance phenomenon of strain waves in helical compression springs

The natural frequencies of waves in helical springs

Resonance phenomenon of strain waves in helical compression springs

Resonance phenomenon of strain waves in helical compression springs

Seasonal dynamics of plankton communities coupled with environmental factors in a semi arid area: Sidi Sad reservoir (Center of Tunisia)

Seasonal dynamics of plankton communities coupled with environmental factors in a semi arid area: Sidi Sad reservoir (Center of Tunisia)

Antioxidant response of a common herbivorous fish species (Sarpa salpa): Seasonal variation

Antioxidant response of a common herbivorous fish species (Sarpa salpa): Seasonal variation

Local and regional factors influencing zooplankton communities in the connected Kasseb Reservoir, Tunisia

Local and regional factors influencing zooplankton communities in the connected Kasseb Reservoir, Tunisia

Distribución y abundancia de los primeros estadios de desarrollo de Sardina pilchardus en el golfo de Túnez (Mediterráneo central) en relación con los factores ambientales

Peer review (55 reviews for 20 publications/grants)