Browsing Faculty of Engineering and Science by Author "Zafar, Muhammad Hamza"
Now showing items 1-20 of 21
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A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models
Mohyuddin, Hassan; Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)This paper presents a novel methodology that utilizes gesture recognition data, which are collected with a Leap Motion Controller (LMC), in tandem with the Spotted Hyena-based Chimp Optimization Algorithm (SSC) for feature ... -
Data-driven green energy extraction: Machine learning-based MPPT control with efficient fault detection method for the hybrid PV-TEG system
Khan, Kamran; Rashid, Saad; Mansoor, Majad; Khan, Ammar; Raza, Hasan; Zafar, Muhammad Hamza; Akhtar, Naureen (Peer reviewed; Journal article, 2023)The hybrid photovoltaic-thermoelectric generation system (PVTEG) gives two-fold benefits; firstly, it efficiently utilizes the available solar energy as it converts both solar irradiance and solar thermal energy into ... -
Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model
Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Sanfilippo, Filippo; Akhter, Malik Naveed; Hadi, Shahzaib Farooq (Peer reviewed; Journal article, 2023)Stress affects individual of all ages as a regular part of life, but excessive and chronic stress can lead to physical and mental health problems, decreased productivity, and reduced quality of life. By identifying stress ... -
Empowering human-robot interaction using sEMG sensor: Hybrid deep learning model for accurate hand gesture recognition
Zafar, Muhammad Hamza; Langås, Even Falkenberg; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)In this paper, a novel approach using a Henry Gas Solubility-based Stacked Convolutional Neural Network (HGS-SCNN) for hand gesture recognition using surface electromyography (sEMG) sensors is proposed. The stacked ... -
Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures : A Step Towards Smart Healthcare
Murtaza, Aitzaz Ahmed; Amina, Saher; Mohyuddin, Hassan; Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Sanfilippo, Filippo (Chapter; Peer reviewed, 2023)Cardiovascular disease presents a serious and increasing global health challenge, making a substantial contribution to morbidity and mortality rates on a global scale. This research study presents a novel methodology for ... -
Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting
Salman Bukhari, Syed Muhammad; Raza Moosavi, Syed Kumayl; Zafar, Muhammad Hamza; Mansoor, Majad; Mohyuddin, Hassan; Sajid Ullah, Syed; Alroobaea, Roobaea; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)Accurate photovoltaic (PV) power forecasting is pivotal for optimizing the integration of RES into the grid and guaranteeing proficient energy management. Concurrently, the sensitive nature of data obtained from individual ... -
Forward Kinematic Modelling with Radial Basis Function Neural Network Tuned with a Novel Meta-Heuristic Algorithm for Robotic Manipulators
Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Sanfilippo, Filippo (Peer reviewed; Journal article, 2022)The complexity of forward kinematic modelling increases with the increase in the degrees of freedom for a manipulator. To reduce the computational weight and time lag for desired output transformation, this paper proposes ... -
From Rigid to Hybrid/Soft Robots : Exploration of Ethical and Philosophical Aspects in Shifting from Caged Robots to Human-Robot Teaming
Hua, Tuan; Langås, Even Falkenberg; Zafar, Muhammad Hamza; Sanfilippo, Filippo (Journal article; Peer reviewed, 2023)This paper delves into the ethical, philosophical, and practical dimensions associated with the transition from caged robots to human-robot teaming (HRT). By exploring the evolving dynamics between humans and robots, this ... -
Harmony unleashed : Exploring the ethical and philosophical aspects of machine learning in human-robot collaboration for industry 5.0
Zafar, Muhammad Hamza; Sanfilippo, Filippo; Blažauskas, Tomas (Journal article; Peer reviewed, 2023)As Industry 5.0 emerges by blending advanced technologies with human-centered approaches, the integration of machine learning (ML) in human-robot collaboration (HRC) becomes increasingly prominent. This paper explores the ... -
Harnessing Digital Twins for Human-Robot Teaming in Industry 5.0 : Exploring the Ethical and Philosophical Implications
Langås, Even Falkenberg; Zafar, Muhammad Hamza; Sanfilippo, Filippo (Journal article; Peer reviewed, 2023)In the era of Industry 5.0, the convergence of humans and robots in collaborative work environments has brought forth the concept of digital twins (DTs) of humans and robots. These virtual replicas, mirroring their physical ... -
Highly efficient maximum power point tracking control technique for PV system under dynamic operating conditions
Moosavi, Syed Kumayl Raza; Mansoor, Majad; Zafar, Muhammad Hamza; Khan, Noman Mujeeb; Mirza, Adeel Feroz; Akhtar, Naureen (Peer reviewed; Journal article, 2022) -
Hybrid General Regression NN Model for Efficient Operation of Centralized TEG System under Non-Uniform Thermal Gradients
Khan, Noman Mujeeb; Ahmed, Abbas; Haider, Syed Kamran; Zafar, Muhammad Hamza; Mansoor, Majad; Akhtar, Naureen (Peer reviewed; Journal article, 2023)The global energy demand, along with the proportionate share of renewable energy, is increasing rapidly. Renewables such as thermoelectric generators (TEG) systems have lower power ratings but a highly durable and ... -
Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems
Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Mirjalili, Seyedali; Sanfilippo, Filippo (Lecture Notes in Computer Science; no. 14125, Chapter; Peer reviewed, 2023)A better understanding of natural behavior modeling in mathematical systems has enabled a new class of stochastic optimization algorithms that can estimate optimal solutions using reasonable computational resources for ... -
Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems
Khan, Muhammad Kamran; Zafar, Muhammad Hamza; Rashid, Saad; Mansoor, Majad; Moosavi, Syed Kumayl Raza; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)The reptile search algorithm is a newly developed optimization technique that can efficiently solve various optimization problems. However, while solving high-dimensional nonconvex optimization problems, the reptile search ... -
Inverse Kinematic Modelling of a 3-DOF Robotic Manipulator using Hybrid Deep Learning Models
Zafar, Muhammad Hamza; Moosavi, Syed Kumayl Raza; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)As the degrees of freedom (DOF) for a manipulator rise, so does the complexity of inverse kinematic modeling. This research provides an inverse kinematic model mapped with the aid of a Multilayer Deep Neural Network (DNN) ... -
A Novel Artificial Neural Network (ANN) Using The Mayfly Algorithm for Classification
Moosavi, Syed Kumayl Raza; Zafar, Muhammad Hamza; Akhter, Malik Naveed; Hadi, Shahzaib Farooq; Khan, Noman Mujeeb; Sanfilippo, Filippo (Chapter, 2021) -
A Novel MPPT Controller Based on Mud Ring Optimization Algorithm for Centralized Thermoelectric Generator under Dynamic Thermal Gradients
Zafar, Muhammad Hamza; Abou Houran, Mohamad; Mansoor, Majad; Khan, Noman Mujeeb; Moosavi, Syed Kumayl Raza; Khan, Muhammad Kamran; Akhtar, Naureen (Peer reviewed; Journal article, 2023)Most industrial processes generate raw heat. To enhance the efficiency of industrial operations, this raw heat is recovered. Thermoelectric generators (TEG), as solid state devices, provide an excellent application of heat ... -
A novel optimization algorithm based PID controller design for real-time optimization of cutting depth and surface roughness in finish hard turning processes
Muqeet, Abdul; Israr, Asif; Zafar, Muhammad Hamza; Mansoor, Majad; Akhtar, Naureen (Peer reviewed; Journal article, 2023)This paper proposes a novel method to improve surface finish in turning processes by effectively controlling the cutting depth. A metaheuristic algorithm based PID control system, in combination with a piezoelectric vibration ... -
Resource efficient PV power forecasting: Transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0
Khan, Umer Amir; Khan, Noman Mujeeb; Zafar, Muhammad Hamza (Peer reviewed; Journal article, 2023)This paper presents an innovative approach for enhancing power output forecasting of Photovoltaic (PV) power plants in dynamic environmental conditions using a Hybrid Deep Learning Model (DLM). The hybrid DLM employs a ... -
Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart meters
Zafar, Muhammad Hamza; Bukhari, Syed Muhammad Salman; Abou Houran, Mohamad; Moosavi, Syed Kumayl Raza; Mansoor, Majad; Al-Tawalbeh, Nedaa; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)The integration of Smart Grid technology and conceptual Industry 5.0 has paved the way for advanced energy management systems that enhance efficiency and revolutionized the parallel integration of power sources in a ...